BPG is committed to discovery and dissemination of knowledge
Review Open Access
Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.
World J Clin Oncol. Jul 24, 2026; 17(7): 121645
Published online Jul 24, 2026. doi: 10.5306/wjco.121645
Copper homeostasis imbalance and cuproptosis: Emerging targets and strategies for gastrointestinal tumor therapy
Zi-Jin Sun, Kai Wang, Ting-Lan Cao, School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China
Jin-Qiao Li, Shandong First Medical University, Jinan 250117, Shandong Province, China
Lin-Jing Song, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 100007, China
Kang-Ni Liang, Zhejiang Chinese Medical University, Hangzhou 310000, Zhejiang Province, China
Hui-Zhong Jiang, Department of Gastroenterology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 100700, China
ORCID number: Ting-Lan Cao (0009-0008-3283-3142); Hui-Zhong Jiang (0000-0003-1888-3131).
Author contributions: Sun ZJ, Wang K, Li JQ, and Song LJ wrote the original draft; Sun ZJ, Liang KN, and Wang K participated in drafting the manuscript and data integration; Cao TL and Jiang HZ contributed to conceptualization; Cao TL provided critical revisions, and performed language polishing and editing of the manuscript; Jiang HZ contributed to supervision, and final reviewing and editing. All authors have read and approved the final version of the manuscript.
AI contribution statement: ChatGPT was used in this study as a supportive tool solely for language polishing, translation assistance, and improving the clarity and readability of the English text. No other AI tools such as Grammarly or DeepL were used. No part of the main manuscript text was generated by AI, and the scientific content, structure, arguments, and conclusions were entirely prepared by the authors. The use of ChatGPT was strictly limited to language refinement and did not involve scientific writing, content generation, data analysis, or statistical analysis. The study design, experimental procedures, data interpretation, and overall conclusions were independently developed and verified by the authors without any participation of AI tools. In addition, no figures, images, graphical elements, or experimental data visualizations included in the manuscript were generated or modified using AI.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Corresponding author: Hui-Zhong Jiang, PhD, Professor, Researcher, Department of Gastroenterology, Dongzhimen Hospital, Beijing University of Chinese Medicine, No. 11 North Third Ring Road East, Beijing 100700, China. jianghz93@126.com
Received: March 30, 2026
Revised: May 12, 2026
Accepted: June 22, 2026
Published online: July 24, 2026
Processing time: 117 Days and 11.5 Hours

Abstract

Gastrointestinal malignancies, including gastric, colorectal, and pancreatic cancers, are characterized by metabolic reprogramming, multidrug resistance, and immunosuppressive microenvironments that limit clinical outcomes. Cuproptosis is a mitochondrial respiration-dependent form of regulated cell death that may target the “cuproplasia” phenotype of gastrointestinal tumors. Mechanistically, ferredoxin 1-mediated reduction of Cu2+ to Cu+ promotes toxic aggregation of lipoylated tricarboxylic acid cycle proteins, including dihydrolipoamide S-acetyltransferase, and destabilizes iron-sulfur clusters. Therapeutic disruption of copper homeostasis may therefore induce irreversible proteotoxic stress by altering the balance between glycolysis and oxidative phosphorylation. This review summarizes mechanisms of copper homeostasis imbalance and cuproptosis in gastrointestinal malignancies and discusses emerging interventions, including synthetic copper ionophores, traditional Chinese medicine phytochemicals, modulation of the dietary copper-gut microbiota axis, and stimuli-responsive nanomedicine. We further highlight nanomedicine-enabled stromal barrier penetration, magnetic resonance imaging/positron emission tomography-guided theranostics, immunogenic cell death-mediated synergy with immunotherapy, and translational challenges involving ferredoxin 1-based patient stratification and safety window management.

Key Words: Gastrointestinal neoplasms; Cuproptosis; Metabolic reprogramming; Ferredoxin 1; Nanomedicine; Traditional Chinese medicine; Gut microbiota

Core Tip: Gastrointestinal malignancies exhibit profound metabolic reprogramming and “cuproplasia”, heavily relying on copper homeostasis for progression and drug resistance. Targeting cuproptosis - a ferredoxin 1-mediated cell death causing toxic aggregation of lipoylated proteins like dihydrolipoamide S-acetyltransferase - offers a transformative strategy to bypass conventional therapeutic resistance. This review highlights multifaceted interventions, including repurposing synthetic copper ionophores, leveraging traditional Chinese medicine phytochemicals, and modulating the unique “dietary copper-gut microbiota” axis. Furthermore, deploying stimuli-responsive nanomedicines helps overcome dense stromal barriers and induces immunogenic cell death, synergizing with immunotherapy to advance the precision management of refractory gastrointestinal tumors.



INTRODUCTION

In the clinical treatment of gastric carcinoma (GC) and colorectal cancer (CRC), advanced metastasis, multidrug resistance, and low response rates to immunotherapy constitute major causes of mortality. Recent studies have progressively revealed that tumor cells not only drive malignant phenotypes through genetic mutations but also adapt to extreme microenvironmental stresses via profound “metabolic reprogramming”, thereby evading drug-mediated killing and immune surveillance. This shift from a purely genetic perspective to a metabolic perspective provides a novel theoretical framework for explaining and overcoming the clinical challenges of GC/CRC.

Drug resistance to conventional chemotherapeutic agents (e.g., 5-FU, oxaliplatin, cisplatin) is a key factor contributing to treatment failure. Studies have demonstrated that tumor cells resist chemotherapeutic stress by enhancing glycolysis, nucleotide metabolism, and redox homeostasis. For instance, in 5-FU-resistant CRC cells, the N6-methyladenosine (m6A) methyltransferase methyltransferase-like 3 significantly increases glycolytic flux by stabilizing hypoxia-inducible factor-1α (HIF-1α) mRNA and promoting lactate dehydrogenase A translation, thereby mediating drug resistance[1]. Similar mechanisms are observed in oxaliplatin resistance, where poly (ADP-ribose) polymerase activation leads to nicotinamide adenine dinucleotide depletion, subsequently inhibiting silent information regulator 1 (SIRT1) activity. Cancer cells gain survival advantages by upregulating glycolysis [via pyruvate kinase M2 (PKM2) and lactate dehydrogenase A], and restoring SIRT1 or targeting glycolysis can reverse this drug-resistant phenotype[2,3]. Beyond glucose metabolism, alterations in the nucleotide synthesis pathway are also critical for drug resistance. The redistribution of dihydroorotate dehydrogenase from mitochondria to the cytoplasm promotes de novo pyrimidine synthesis, competitively blocking 5-FU efficacy at the metabolic level[4]; whereas inosine monophosphate dehydrogenase 2-mediated enhancement of purine metabolism leads to oxaliplatin resistance by inhibiting caspase-dependent apoptosis[5]. Additionally, reprogramming of the serine metabolic pathway (e.g., forkhead box C1-driven upregulation of phosphoglycerate dehydrogenase) has been shown to be closely associated with 5-FU resistance in CRC[6]. In GC, Nrf2-mediated oxidative stress defense and metabolic reprogramming are significant drivers of cisplatin resistance[7].

Although immune checkpoint inhibitors (ICIs) are effective in certain patients, the “cold tumor” microenvironment limits their widespread application. Metabolic competition and signal crosstalk between tumor cells and immune cells are key factors leading to immune evasion. For example, the activation of the aldehyde dehydrogenase 2/arginase 2 axis results in arginine depletion in the tumor microenvironment (TME), directly inhibiting the proliferation and antitumor function of CD8+ T cells, thereby leading to resistance to ICI therapy[8]. Abnormal lipid metabolism plays a significant role in immune suppression: In microsatellite stable CRC, the accumulation of oxidized low-density lipoprotein not only promotes tumor progression but also induces an immunosuppressive microenvironment through metabolic reprogramming, thereby weakening the efficacy of ICI[9]. Multidisciplinary studies further reveal that gene-driven metabolic heterogeneity, such as that driven by angiopoietin-like protein 4 and fatty acid-binding protein (FABP7), directly shapes the immune low-reactivity subtype (immunity_low), characterized by the enrichment of M0 macrophages and stromal activation[10]. Notably, the interleukin-4 signaling axis can induce metabolic reprogramming in macrophages, leading to upregulation of Fc gamma receptor IIB and resistance to programmed death-1 antibody therapy in GC[11]. Conversely, specific metabolic pathways such as fatty acid oxidation are crucial for maintaining the survival of tissue-resident memory T cells in GC. Blocking programmed death ligand-1 (PD-L1) can increase the expression of FABP4/5 in tissue-resident memory T cells, promoting their lipid uptake and survival, thereby enhancing antitumor immunity[12].

Organ-specific metastasis is metabolically dependent. The distant metastases of GC and CRC exhibit distinct organ tropism, which is closely associated with the specific metabolic “soil” of metastatic foci. In liver metastases, tumor cells often undergo a metabolic shift from glycolysis to oxidative phosphorylation (OXPHOS). Single-cell sequencing has demonstrated that malignant cells in CRC liver metastases exhibit enhanced OXPHOS, which is regulated by transforming growth factor-β signaling[13]. Studies on the traditional Chinese medicine (TCM) decoction Jianpi Jiedu Formula have also confirmed that inhibiting glutamine metabolism and remodeling the YTHDF1/GID8 axis can effectively block CRC liver metastasis[14]. Additionally, stromal cells in the TME play a synergistic role. For example, secreted phosphoprotein 1 fibroblasts promote the growth of liver metastases through metabolic reprogramming[15], while FABP7-mediated macrophage lipid accumulation induces tumor cell metabolic reprogramming via the exosome pathway, forming a pre-metastatic niche[16]. In lymph node metastases, lipid metabolism plays a particularly prominent role. GC cells in the high-fat microenvironment of lymph nodes rely on fatty acid oxidation-driven OXPHOS to sustain survival, with the nuclear factor erythroid 2-related factor 2-solute carrier family 7 member 11 (SLC7A11) axis further supporting this process through antioxidant stress mechanisms[17]. Lipoprotein lipase-mediated lipid uptake and leptin-induced angiopoietin-like protein 4 phosphorylation are also critical mechanisms promoting GC lymph node metastasis[18]. Furthermore, upon reaching the lymph nodes, GC cells adapt to the high arachidonic acid environment by inhibiting the peroxisome proliferator-activated receptor gamma-FABP1 axis, thereby evading ferroptosis[19]. In peritoneal metastasis, the deubiquitinase USP35 promotes energy metabolism reprogramming and peritoneal adhesion in GC cells by stabilizing stimulator of interferon genes (STING) and activating the HIF-1α/focal adhesion kinase pathway[20]. Meanwhile, yrroline-5-carboxylate reductase 2-mediated abnormal proline metabolism has been demonstrated to be closely associated with peritoneal metastasis in CRC[21].

Recent research perspectives have delved into metabolism regulation by epigenetics and post-translational modifications. Lactylation, a novel epigenetic marker linking metabolism and gene expression, has been found to be extensively involved in DNA damage repair and drug resistance modulation. For instance, lactic acid produced during glycolysis can promote lactylation at the K288 site of the XRCC4-like factor protein, enhancing non-homologous end joining repair efficiency, thereby leading to chemotherapy resistance. The long non-coding RNA USP3-AS1 stabilizes MYC proto-oncogene through deubiquitination, subsequently promoting histone H3K18 lactylation and driving CRC liver metastasis[22]. Additionally, the deletion of ribosomal protein uL3 triggers severe disturbances in amino acid and glutathione (GSH) metabolism, influencing ferroptosis sensitivity by regulating SLC7A11 expression, revealing a complex regulatory network between metabolism and cell death pathways[23].

Tumor cells exhibit an extreme dependence on specific metal ions, particularly copper ions, during metabolic reprogramming, a phenomenon defined by the scientific community as “copper tropism” or “copper-dependent proliferation” (cuproplasia)[24-26]. Compared to normal tissues, tumor tissues and patient serum often demonstrate significantly elevated copper levels. Copper is not merely present as a micronutrient but also serves as a limiting nutrient factor for cancer cell proliferation, metabolism, tumorigenesis, and progression[27,28]. To meet their excessive demand, tumor cells remodel their intracellular copper homeostasis system by upregulating copper transporters and copper chaperones[29,30]. For instance, in cholangiocarcinoma and hepatocellular carcinoma (HCC), the high expression of solute carrier family 31 member (SLC31A1) and antioxidant protein 1 has been demonstrated to be closely associated with malignant progression, poor prognosis, and copper accumulation in tumors. These proteins support tumor cell survival by maintaining mitochondrial function and redox balance[29]. This metabolic dependence on copper renders copper homeostasis regulation a distinct metabolic characteristic that differentiates tumor cells from normal cells[26,31].

The traditional role of copper ions in tumor biology is primarily manifested as signal transduction modulators and enzyme cofactors, driving tumor angiogenesis, proliferation, and metastasis. At the signal transduction level, copper is no longer merely regarded as a static enzyme catalytic center but rather as a dynamic signal-regulating molecule that directly targets key oncogenic proteins, thereby activating classic pro-oncogenic signaling pathways, such as mitogen-activated protein kinase/extracellular regulated protein kinase and phosphatidylinositol 3-kinase (PI3K)/protein kinase B (AKT)[24,30]. Additionally, the copper chaperone protein antioxidant protein 1 not only facilitates copper transport but also functions as a transcription factor entering the nucleus, upregulating cyclin D1 expression and directly promoting tumor cell proliferation[32-34]. In malignant tumors such as CRC, copper mediates the vigorous growth of tumor cells by regulating the activity of various enzymatic and non-enzymatic factors[22,26].

Cuproptosis, a recently defined form of regulated cell death, exhibits mechanisms distinct from traditional apoptosis, ferroptosis, necroptosis, and pyroptosis[35-38]. This form of cell death strictly depends on intracellular copper ion accumulation and mitochondrial respiratory function. Mechanistically, cuproptosis is driven by the accumulation of intracellular copper in mitochondria, where copper binds to lipoylated tricarboxylic acid (TCA)-cycle proteins, particularly components of the pyruvate dehydrogenase complex such as dihydrolipoamide S-acetyltransferase (DLAT). This interaction promotes the aggregation of lipoylated proteins and is accompanied by the destabilization of iron-sulfur (Fe-S) cluster proteins[39-42]. This process triggers irreversible protein toxicity stress and mitochondrial metabolic dysfunction, ultimately resulting in cell death[37,43]. Ferredoxin 1 (FDX1) functions as a key upstream regulator by reducing Cu2+ to Cu+ and by supporting lipoic acid synthase (LIAS)-dependent protein lipoylation, thereby influencing the abundance of lipoylated mitochondrial substrates that determine cellular sensitivity to cuproptosis[44].

Tumor cells typically exhibit a high demand for copper to sustain their rapid proliferation, yet this also reveals their specific metabolic vulnerability[24,45]. The occurrence of cuproptosis is highly dependent on active mitochondrial respiration; therefore, tumor cells that primarily rely on glycolysis (Warburg effect) for energy supply often demonstrate resistance to copper-induced death[46]. Studies have shown that hypoxic conditions or glucose metabolic reprogramming can suppress TCA cycle activity by downregulating FDX1 and DLAT, activating HIF-1α, along with other mechanisms, thereby evading cuproptosis[47]. Conversely, metabolic interventions that shift tumor cells toward mitochondrial OXPHOS may increase the abundance of lipoylated TCA-cycle proteins and thereby enhance susceptibility to copper-induced proteotoxic stress[48-51].

To explore the therapeutic relevance of this mechanism, copper ionophores and engineered nanoplatforms have been investigated as preclinical strategies to modulate intracellular copper homeostasis[52-55]. These strategies aim to disrupt intracellular copper homeostasis, through mechanisms including downregulation of copper efflux proteins or upregulation of copper influx transporters to induce intracellular copper overload[41,56,57]. Stimulus-responsive nanodrugs may improve tumor-selective copper delivery and enhance oxidative or mitochondrial stress by depleting GSH or modulating metabolic pathways[58-60].

The application potential of cuproptosis extends to reshaping the tumor immune microenvironment. Copper overload-induced mitochondrial damage may promote mitochondrial DNA (mtDNA) release and cyclic GMP-AMP synthase-stimulator of interferon genes (cGAS-STING) activation, thereby contributing to immunogenic cell death-like responses under certain condition[61,62]. This process may facilitate dendritic cell maturation and CD8+ T-cell infiltration, suggesting a potential mechanism for alleviating immunosuppressive TMEs.

Therefore, combining cuproptosis induction with immune checkpoint blockade, photodynamic therapy (PDT), or sonodynamic therapy has shown synergistic antitumor activity in several preclinical tumor models[40,51,63-65]. Nevertheless, whether these strategies can be translated into gastrointestinal cancer treatment requires further validation in tumor-specific models, clinically relevant delivery systems, and biomarker-guided patient stratification.

MOLECULAR MECHANISMS OF CUPROPTOSIS AND METABOLIC REPROGRAMMING IN GASTROINTESTINAL TUMORS
Copper intake and intracellular homeostasis disruption

The gastrointestinal tract, as a critical system for copper absorption and metabolism, relies heavily on the precise regulation of copper transporters to maintain copper homeostasis within tumor cells. These transporters primarily include copper transporters (CTR1/SLC31A1) and copper efflux transporters (ATP7A, ATP7B). In malignant digestive tract tumors such as GC and esophageal cancer, ATP7A is often abnormally overexpressed. Studies have shown that ATP7A not only participates in transmembrane copper ion transport within cells but is also closely associated with malignant progression and angiogenesis in tumors. Its high expression often indicates poor prognosis in GC patients, accompanied by deeper invasion and advanced pathological grading[66]. In esophageal cancer, the overexpression of ATP7A is negatively regulated by miR-495 and is directly linked to tumor angiogenic capacity and resistance to chemotherapeutic agents[67]. Additionally, as the primary channel for copper uptake, SLC31A1 (CTR1) exhibits significant correlations with the TME and prognosis in various cancers, and its expression levels directly influence intracellular copper and platinum drug accumulation[68].

Tumor cells establish drug resistance mechanisms and maintain intracellular homeostasis by remodeling the expression profiles of these transporters. This abnormal “copper accumulation” or “copper flow” is one of the core driving forces of chemotherapy resistance, particularly to platinum-based drugs. In CRC, drug-resistant cell lines typically exhibit downregulation of CTR1 and upregulation of ATP7A and ATP7B, leading to reduced intracellular drug accumulation[69]. Experimental evidence demonstrates that reducing ATP7A expression through gene silencing or using drug interventions such as gambogic acid to restore the “high CTR1, low ATP7A/B” expression pattern can significantly increase intracellular platinum drug concentrations and reverse resistance[70]. Additionally, overexpression of matrix Gla protein has been shown to confer drug resistance in CRC cells by downregulating CTR1 and upregulating ATP7A/B[69].

In addition to alterations in expression levels, genetic polymorphisms of copper transporters and differences in tumor tissue subtypes also profoundly influence copper homeostasis and therapeutic responses in gastrointestinal tumors. In neoadjuvant chemoradiotherapy for esophageal cancer, single nucleotide polymorphisms of SLC31A1 (rs10981694) and ATP7B (rs9535828) are strongly associated with patient survival rates and hematologic toxicity, suggesting potential effects of genetic background on copper/platinum transport efficiency[71,72]. Pathological subtype analysis of CRC revealed significant differences in chemoresistance genes between mucinous adenocarcinoma and non-mucinous adenocarcinoma. Notably, ATP7B expression was markedly reduced in mucinous adenocarcinoma, accompanied by distinct somatic mutation frequencies, indicating heterogeneity in copper homeostasis maintenance and drug transport mechanisms across tumor cell types, which may contribute to clinical prognostic differentiation[73,74].

The Warburg effect and metabolic plasticity: Coordination between glycolysis and mitochondrial respiration

Metabolic reprogramming is a major feature of gastrointestinal tumors, but the Warburg effect should not be interpreted simply as a complete replacement of mitochondrial respiration by glycolysis. Rather, tumor cells often maintain a dynamic balance between aerobic glycolysis and OXPHOS, allowing them to adapt to hypoxia, sustain biosynthesis, preserve stemness, and survive therapeutic stress.

HIF-1α is a central regulator of glycolytic activation in this process. Representative studies have shown that one cut homeobox 3 enhances glycolytic gene expression by preventing histone deacetylase 6-mediated HIF-1α deacetylation[75], whereas ADP-ribosyltransferase 1 promotes glucose transporter 1-dependent glycolysis through the PI3K/AKT/HIF-1α axis[76]. These findings support the view that HIF-1α acts as a key hub connecting hypoxic signaling with glucose metabolic reprogramming. However, glycolytic activation is not uniformly oncogenic in all contexts; negative regulators such as selenium binding protein 1 and fructose bisphosphatase 2 can suppress the Warburg phenotype by restraining HIF-1α signaling or glycolytic enzyme activity[77,78]. Therefore, the biological outcome of glycolytic reprogramming depends on the balance between oncogenic activation and metabolic checkpoint mechanisms.

Importantly, enhanced glycolysis does not mean that mitochondrial function is lost. In gastrointestinal tumors, mitochondrial metabolism is frequently remodeled rather than simply suppressed. Tumor necrosis factor receptor-associated protein 1 (TRAP1) provides a representative example of this complexity. TRAP1 depletion can impair mitochondrial complex I and induce compensatory HIF-1α target genes such as glucose transporter 1 and pyruvate dehydrogenase kinase 1[79], whereas high TRAP1 expression may support mitochondrial biogenesis through the peroxisome proliferator-activated receptor gamma coactivator 1α (PGC-1α)/mitochondrial transcription factor A pathway[80]. These observations suggest that glycolysis and OXPHOS are not mutually exclusive programs but can be coordinately adjusted according to cellular stress and tumor state.

This metabolic plasticity is particularly relevant to therapeutic resistance. IGF2BP2 promotes chemoresistance by stabilizing transcripts associated with mitochondrial respiratory chain complexes[81], and lactate can enhance the metastatic capacity of CRC stem cells through PGC-1α-mediated OXPHOS[82]. Consistently, 5-FU-resistant cells may depend on both glycolysis and mitochondrial ATP production[83], whereas oxaliplatin-resistant organoids can shift toward OXPHOS dependence[84]. These findings indicate that resistant tumors do not share a single metabolic phenotype; instead, their vulnerabilities may vary according to tumor subtype, treatment history, and microenvironmental conditions.

Several preclinical studies have attempted to exploit this metabolic flexibility. For example, metformin suppresses mitochondrial complex I activity and Wnt-related cancer stem cell self-renewal[85], while p53 can counteract the Warburg phenotype by promoting mitochondrial respiration through targets such as synthesis of cytochrome C oxidase 2[86]. Nevertheless, the therapeutic translation of Warburg- or OXPHOS-targeted strategies remains preliminary. Future studies should define which gastrointestinal tumor subtypes are glycolysis-dependent, OXPHOS-dependent, or metabolically flexible, and determine whether these metabolic states can guide rational combinations with cuproptosis-related interventions.

Core regulators: FDX1 and lipoylation

FDX1 is a mitochondrial reductase and a key upstream regulator of cuproptosis, with emerging clinical and biological relevance in gastrointestinal cancers, including GC and CRC. Pan-cancer analyses and multiple cohort studies have demonstrated that FDX1 typically shows a downregulated trend in gastric and CRC tissues[87-89], with this low expression often significantly associated with poor patient prognosis[88,90,91]. However, this expression pattern may vary across different cancer subtypes. The biological functions of FDX1 extend beyond its role as an electron donor in steroidogenesis. Mechanistically, FDX1 contributes to cuproptosis by reducing Cu2+ to Cu+ and supporting LIAS-dependent protein lipoylation, thereby increasing the pool of lipoylated mitochondrial proteins that can serve as copper-binding substrates[44,92,93].

DLAT, a lipoylated component of the pyruvate dehydrogenase complex, is one of the best-characterized execution substrates of cuproptosis. FDX1 supports LIAS-dependent lipoylation of mitochondrial enzymes, including DLAT, thereby influencing the availability of lipoylated substrates for copper binding[44,92]. Under copper overload, FDX1-mediated Cu+ generation promotes the abnormal aggregation of lipoylated DLAT and related lipoylated mitochondrial proteins. These insoluble aggregates impair mitochondrial enzyme function and induce proteotoxic stress, accompanied by Fe-S cluster protein loss and mitochondrial metabolic failure[42,43,94].

In GC and CRC models, targeting the FDX1-LIAS-DLAT axis has shown preclinical relevance for sensitizing tumor cells to copper ionophores. Studies have shown that enhancing mitochondrial uncoupling agents to activate the respiratory chain can upregulate the expression of FDX1 and DLAT, thereby markedly increasing the sensitivity of GC cells to copper ion carriers and promoting the toxic accumulation of DLAT[48]. Additionally, novel copper nanoplatforms can not only directly replenish intracellular copper by co-delivering copper ions and p53 activators but also inhibit glycolysis and increase TCA cycle flux by restoring p53 function, thereby upregulating FDX1 and DLAT to synergistically induce cuproptosis and overcome drug resistance[95,96]. Notably, certain miRNAs or specific genes may confer resistance to cuproptosis in tumor cells by inhibiting the expression or function of FDX1, providing targets for developing targeted sensitization strategies[97,98] (Figure 1).

Figure 1
Figure 1 Central molecular mechanism of cuproptosis and mitochondrial protein lipoylation. Cuproptosis in gastrointestinal tumor cells is driven by mitochondrial copper accumulation and protein lipoylation. Cu2+ enters cells through copper transporters such as copper transporters/solute carrier family 31 member 1 and is reduced to Cu+ by ferredoxin 1 within mitochondria. Cu+ subsequently binds to lipoylated dihydrolipoamide S-acetyltransferase, inducing its oligomerization, Fe-S cluster protein loss, proteotoxic stress, and mitochondrial metabolic collapse, ultimately triggering caspase-independent cuproptotic cell death. CTR1: Copper transporters; SLC31A1: Solute carrier family 31 member 1; GC: Gastric cancer; CRC: Colorectal cancer; LIAS: Lipoic acid synthase; FDX1: Ferredoxin 1; DLAT: Dihydrolipoamide S-acetyltransferase; TCA: Tricarboxylic acid cycle; ETC: Electron transport chain.
Overview of cuproptosis signaling pathways and their specificity in the digestive system

Cuproptosis should be distinguished from other regulated cell death modalities by its dependence on mitochondrial respiration, copper accumulation, lipoylated TCA-cycle protein aggregation, and Fe-S cluster protein destabilization. In contrast, apoptosis is primarily caspase-dependent, ferroptosis is driven by iron-dependent lipid peroxidation, and necroptosis relies on receptor-interacting serine/threonine kinase 1/receptor-interacting serine/threonine kinase 3/mixed lineage kinase domain-like protein signaling. Therefore, when these pathways coexist in the same model, they are described as interacting or parallel stress responses rather than as identical mechanisms.

The signaling pathway of cuproptosis centers on mitochondrial metabolism, with mechanisms fundamentally distinct from traditional cell death modes, such as apoptosis, ferroptosis, and necroptosis. The initiation of this process relies on the direct binding of copper ions to lipoylated TCA-cycle proteins. Specifically, mitochondrial Cu2+ is reduced by FDX1 to Cu+, which promotes the aggregation of lipoylated proteins such as DLAT[99,100]. This protein aggregation not only disrupts the enzymatic activity of the TCA cycle but also triggers the loss of Fe-S cluster proteins, resulting in proteotoxic stress and ultimately irreversible cellular damage and death[101-104]. Unlike apoptosis or ferroptosis, cuproptosis does not primarily depend on caspase activation or lipid peroxidation; instead, it preferentially affects cells with active mitochondrial respiration and abundant lipoylated mitochondrial substrates[105].

In digestive system tumors, the cuproptosis pathway exhibits unique regulatory networks and pathophysiological significance. Taking GC as an example, metal regulatory transcription factor 1 (MTF1), a key metal-regulated transcription factor, not only inhibits ferroptosis but also reduces cuproptosis sensitivity by upregulating ferritin heavy chain 1 and activating Fe-S cluster assembly protein 2-mediated Fe-S cluster assembly, revealing the complex interregulatory relationship between these two forms of metal death in GC[106]. In CRC, FDX1, a critical executor of cuproptosis, is closely associated with TME remodeling and immune evasion. Studies suggest that CRC cells may evade cuproptosis by downregulating FDX1 or upregulating copper efflux proteins, whereas copper ionophores or nanodrugs can restore intracellular copper stress and sensitize tumor cells to cuproptosis in preclinical models[107-109]. Additionally, the imbalance of copper metabolism is particularly pronounced in HCC. As the primary organ for copper metabolism, liver tumor cells often maintain a high copper state by upregulating CTR1 and downregulating ATP7B to support proliferation, rendering HCC potentially highly sensitive to cuproptosis inducers[110,111].

Notably, the specificity of the cuproptosis signaling pathway in digestive system tumors is also reflected in its close association with metabolic reprogramming. Since cuproptosis is highly dependent on mitochondrial respiration, digestive tract tumor cells that primarily rely on Warburg effect for energy supply often exhibit resistance to cuproptosis[107]. However, metabolic interventions that force tumor cells to switch to OXPHOS can significantly enhance their sensitivity to cuproptosis. This strategy has shown preliminary promise in preclinical studies of gastric cancer and CRC[112,113] (Figure 2).

Figure 2
Figure 2 Metabolic reprogramming determines cuproptosis sensitivity. The Warburg phenotype promotes glycolysis, suppresses mitochondrial oxidative phosphorylation and the tricarboxylic acid cycle, and reduces ferredoxin 1/dihydrolipoamide S-acetyltransferase -dependent cuproptosis sensitivity. In contrast, metabolic rewiring by pyruvate dehydrogenase kinase inhibition, mitochondrial activation, or related interventions restores tricarboxylic acid cycle/oxidative phosphorylation activity and increases lipoylated protein accumulation. Under this respiratory state, copper ionophores such as elesclomol enhance copper toxicity and resensitize gastrointestinal tumor cells to cuproptosis. GLUT: Glucose transporter; HIF: Hypoxia-inducible factor; MCT: Monocarboxylate transporter; HK2: Hexokinase 2; PFKFB3: 6-Phosphofructo-2-kinase/fructose-2,6-bisphosphatase 3; TCA: Tricarboxylic acid cycle; OXPHOS: Oxidative phosphorylation; FDX1: Ferredoxin 1; DLAT: Dihydrolipoamide S-acetyltransferase; ATP: Adenosine triphosphate; ETC: Electron transport chain; PDK: Pyruvate dehydrogenase kinase.
Cross-talk between cuproptosis and other cell death programs: Shared stress signals but distinct execution mechanisms

Cuproptosis can interact with ferroptosis, apoptosis, pyroptosis, and immunogenic cell death through shared upstream stress signals, including mitochondrial dysfunction, reactive oxygen species (ROS) accumulation, GSH depletion, Fe-S cluster instability, and innate immune activation. However, these pathways should not be conflated. Cuproptosis is defined by copper-dependent aggregation of lipoylated mitochondrial proteins and Fe-S cluster protein loss; ferroptosis is defined by iron-dependent lipid peroxidation; apoptosis is caspase-dependent programmed cell death; and immunogenic cell death refers to an immunological phenotype characterized by antigen release and immune activation.

Cuproptosis and ferroptosis, as two metal ion-dependent cell death pathways, exhibit significant overlap and interaction in their regulatory mechanisms. On one hand, cuproptosis and ferroptosis can act synergistically. For instance, in osteosarcoma, the bimetallic nanoenzyme initiates a “ferroptosis-cuproptosis” self-reinforcing loop by inducing metabolic collapse of Fe-S clusters: Cuproptosis leads to the degradation of Fe-S proteins, releasing free iron ions into the unstable labile iron pool, which subsequently enhances oxidative stress through the Fenton reaction, promoting ferroptosis; conversely, ferroptosis-associated mitochondrial damage exacerbates the toxicity of copper ions[114]. Additionally, in triple-negative breast cancer, Cu2+ released by CuFeTe2 nanosheets depletes GSH and inhibits glutathione peroxidase 4 (GPX4) activity, thereby triggering ferroptosis; meanwhile, Cu2+-induced aggregation of lipoylated DLAT initiates cuproptosis, while GSH depletion and GPX4 inhibition promote ferroptosis-like lipid peroxidation; these processes may cooperate to enhance tumor cell killing in this model[115]. On the other hand, certain regulatory factors may exert opposing or complex regulatory effects on these two death pathways. For example, in GC, the MTF1 has been found to simultaneously suppress the sensitivity to both ferroptosis and cuproptosis. MTF1 reduces free iron by upregulating ferritin heavy chain 1 and inhibiting ferroptosis, while simultaneously activating Fe-S cluster assembly protein 2-mediated Fe-S cluster assembly, alleviating cuproptosis-induced protein toxicity stress[106]. This discovery reveals that targeting key nodes such as MTF1 may simultaneously disrupt tumor cells' defense mechanisms against both of these death pathways.

Cuproptosis-associated mitochondrial damage may contribute to immunogenic cell death-like responses under certain conditions, providing a potential mechanism for immune microenvironment remodeling. During cuproptosis-related mitochondrial stress, mtDNA release may activate the cGAS-STING pathway and induce type I interferon signaling[56,116]. This process may promote dendritic cell maturation, antigen presentation, and CD8+ T-cell infiltration, thereby partially alleviating immunosuppressive tumor features. In CRC, cuproptosis not only directly kills tumor cells but also promotes DC maturation and M1 macrophage polarization by inducing endoplasmic reticulum stress, leading to the release of damage-associated molecular patterns such as calreticulin exposure, high mobility group box 1, and ATP[62,117]. This immunometabolic effect may contribute to tumor cell killing and immune activation in preclinical models, but its durability and clinical relevance require further validation[56,59,118].

In summary, cuproptosis in gastrointestinal tumors is best understood as a mitochondria-dependent and lipoylation-centered cell death program. Its sensitivity is shaped by copper transport, FDX1-LIAS-DLAT activity, mitochondrial respiration, and interactions with other stress responses. Importantly, cross-talk with ferroptosis, apoptosis, or immunogenic cell death should be interpreted as pathway interaction rather than mechanistic equivalence (Table 1).

Table 1 Key cuproptosis regulators in gastrointestinal tumors.
Regulator
Main role in cuproptosis
Relevance in gastrointestinal tumors
Evidence level
Ref.
SLC31A1/CTR1Mediates copper influx and contributes to intracellular copper accumulationAssociated with copper and platinum drug uptake; altered expression may affect therapeutic response in digestive tumorsClinical association + preclinical evidence[29,68]
ATP7A/ATP7BCopper efflux transporters that reduce intracellular copper accumulationUpregulation is associated with platinum resistance and altered copper homeostasis in GC, CRC, and esophageal cancerClinical association + functional studies[66,67,69-74]
ATOX1Copper chaperone involved in copper transport and transcriptional regulationSupports tumor proliferation and copper-dependent signaling in gastrointestinal malignanciesPreclinical + clinical association[29,32,34]
FDX1Reduces Cu2+ to Cu+ and supports LIAS-dependent protein lipoylationFrequently downregulated in GC/CRC; low expression is associated with poor prognosis and reduced cuproptosis sensitivityBioinformatic cohorts + mechanistic studies[44,87-93]
LIASCatalyzes lipoic acid biosynthesis required for mitochondrial protein lipoylationLIAS regulation affects cellular sensitivity to elesclomol and copper-induced cuproptosisPreclinical mechanistic evidence[44,121,123]
DLATLipoylated TCA-cycle protein and key substrate for copper-induced aggregationDLAT abundance may influence mitochondrial metabolism, prognosis, immune features, and response to cuproptosis inductionPreclinical + clinical association[42,43,94,235,236]
MTF1/FTH1/ISCA2Regulates metal stress, iron storage, and Fe-S cluster homeostasisMay suppress both ferroptosis and cuproptosis sensitivity in GC by promoting iron storage and Fe-S cluster assemblyPreclinical mechanistic evidence[106]
HIF-1αPromotes glycolytic reprogramming and reduces mitochondrial dependenceHypoxia/HIF-1α activation may reduce cuproptosis sensitivity by suppressing TCA-cycle activity and FDX1/DLAT expressionPreclinical evidence[47,76,269]
CDKN2A/SNHG26/E2F3Resistance-associated regulators of elesclomol-induced cuproptosisAssociated with resistance to cuproptosis induction in CRC modelsPreclinical evidence[125,126,240,241]
PTBP3/COX11 axisAlters mitochondrial copper handlingPTBP3-mediated COX11 exon skipping may reduce mitochondrial copper content and contribute to cuproptosis evasion in GCPreclinical evidence[243]
INDUCTION OF CUPROPTOSIS: A NOVEL STRATEGY FOR DRUG THERAPY IN GASTROINTESTINAL TUMOR
Reuse of copper ionophores

Copper ionophores, a class of small-molecule compounds capable of modulating intracellular copper levels, demonstrate significant repurposing potential in gastrointestinal tumor therapy. These agents primarily include elesclomol and disulfiram, which not only induce cuproptosis but also exert anticancer effects through interactions with other cell death pathways or by modulating the TME[119,120].

Elesclomol, a potent copper ion carrier, primarily exerts its effects on gastrointestinal tumors through mitochondrial metabolism and specific gene regulation. In esophageal squamous cell carcinoma (ESCC), elesclomol targets the key enzyme of cuproptosis-LIAS. Studies have demonstrated that the combination of elesclomol with O-linked N-acetylglucosamine transferase inhibitors effectively inhibits tumor growth, a mechanism involving TRIM21-mediated ubiquitination of ALKBH5, which subsequently downregulates LIAS expression to promote cuproptosis[121]. Additionally, the sensitivity of ESCC cells to elesclomol is closely associated with OXPHOS levels, with cells in a hyper-OXPHOS state being more prone to cuproptosis. HMGA1 has been identified as a key regulatory molecule mediating elesclomol-induced ROS production[122]. In GC, elesclomol also exerts its effects through an alternative LIAS downregulation mechanism, while high expression of kynureninase confers resistance to cuproptosis by inhibiting LIAS[123]. In CRC, elesclomol-induced copper overload not only directly triggers cuproptosis but is also found to promote the degradation of ATP7A, leading to mitochondrial copper retention and SLC7A11 degradation, thereby inducing copper-dependent ferroptosis[124]. However, drug resistance mechanisms also exist in CRC. For instance, SNHG26 resists elesclomol-induced cuproptosis by stabilizing CDKN2A mRNA[125], while overexpression of the transcription factor E2F3 enhances cellular tolerance to elesclomol[126]. To optimize delivery and enhance efficacy, nano-reactors based on elesclomol not only induce irreversible cuproptosis but also reshape the tumor immune microenvironment by releasing Mn2+ to activate the cGAS-STING pathway[127].

Disulfiram, an established alcohol abstinence drug, exhibits anticancer activity in gastrointestinal tumors primarily through its metabolic conversion into a diethyl disulfothiocarbamate copper complex in vivo. In GC treatment, disulfiram significantly inhibits cancer cell proliferation and invasion via dual suppression of the Wnt/β-catenin and nuclear factor kappaB signaling pathways[128]. Additionally, disulfiram demonstrates anti-Helicobacter pylori activity by downregulating the expression of virulence factors CagA and VacA, potentially contributing to the prevention of GC at its origin. In CRC, the mechanism of the disulfiram/Cu complex is more diverse: It can induce excessive autophagic cell death by targeting unc-51-like autophagy activating kinase 1[129]; or it can downregulate ALDH1A3 via the miR-16-5p/15b-5p axis, thereby disrupting PKM2-mediated aerobic glycolysis and inhibiting tumor progression[130]. More importantly, the copper diethyldithiocarbamate complex has been proven to be a potent immunomodulator that enhances the cytotoxicity of natural killer cells and T cells through the NKG2D-NKG2DL axis, transforming “cold” tumors into immunoinflammatory “hot” tumors[131]. In clinical translation strategies, the combination of disulfiram and 5-FU has demonstrated synergistic lethal effects in 3D CRC organoid models and can downregulate drug resistance markers[132].

To overcome the poor in vivo stability of traditional copper ion carriers, nanotechnology has been widely applied in the development of drug delivery systems, achieving synergistic effects of multiple death modes. For instance, the Cu-BTC@DDTC nanodrug constructed by encapsulating disulfiram in metal-organic frameworks not only enhances drug stability but also induces ferroptosis through modulation of the SLC7A11/GPX4 pathway[133]. Another study developed multifunctional nanoparticles loaded with doxorubicin and disulfiram, which achieved synergistic antitumor effects of cuproptosis, ferroptosis, and apoptosis by amplifying cellular oxidative stress and depleting GSH[134]. Additionally, hollow copper sulfide nanoparticles loaded with disulfiram, combined with near-infrared photothermal therapy (PTT) and electrospun nanofiber scaffold technology[135], significantly enhanced their therapeutic potential and selectivity in CRC[136].

Small-molecule modulators targeting the FDX1-LIAS-DLAT lipoylation axis

FDX1 is a mitochondrial reductase that plays a central role in cuproptosis by regulating copper reduction and lipoylation-dependent substrate availability. It reduces Cu2+ to Cu+ and supports LIAS-dependent lipoylation of TCA-cycle enzymes such as DLAT. When intracellular copper accumulates, FDX1-generated Cu+ binds to lipoylated mitochondrial proteins, especially DLAT, leading to protein aggregation, proteotoxic stress, and Fe-S cluster protein loss[92-94,137]. Based on this mechanism, small molecules that increase intracellular copper, enhance FDX1 activity, promote mitochondrial respiration, or stabilize lipoylated substrates are being explored as preclinical sensitization strategies. For example, a marine natural product called Chagosendine C has been reported to target FDX1 in CRC cells, increase intracellular copper and ROS levels, and induce G1 arrest and cuproptosis-like cytotoxicity, suggesting potential activity against oxaliplatin-resistant cells[138]. Similarly, in pancreatic cancer, chlorophyllin, a chlorophyll derivative, has been found to bind to the FDX1 protein, promoting the oligomerization of DLAT protein and amplifying intracellular copper toxicity. Its combination with gemcitabine showed synergistic antitumor activity in preclinical pancreatic cancer models[139].

In addition to compounds that directly target FDX1, enhancing FDX1 activity and the efficacy of copper ion carriers through metabolic modulation or combination therapy represents another critical strategy. In CRC, the metabolite 4-octylisocyanate inhibits aerobic glycolysis by targeting the key glycolytic enzyme GAPDH. This process is highly dependent on the presence of FDX1 to sensitize cuproptosis induced by elesclomol-Cu. FDX1 knockdown attenuates 4-octylisocyanate-mediated sensitization to elesclomol-Cu-induced cytotoxicity[140]. Quercetin has been reported to bind FDX1 and synergize with elesclomol-Cu by increasing mitochondrial oxygen consumption rate, promoting lipoylated protein aggregation and mitochondrial dysfunction, thereby sensitizing HCC cells to lenvatinib in preclinical models[141]. Ferroptosis inducers may enhance the cytotoxicity of copper ionophores in HCC by reducing FDX1 degradation and increasing lipoylated cuproptosis substrate abundance[142].

However, gastrointestinal tumor cells often downregulate FDX1 expression through multiple mechanisms to evade cuproptosis, providing a target for reverse regulation in drug development. In pancreatic cancer, SERPINB3 inhibits FDX1 transcription by activating the mitogen-activated protein kinase signaling pathway, leading to resistance to cuproptosis. metal-organic frameworks loaded with copper ions and mitogen-activated protein kinase inhibitors, developed to target this mechanism, can effectively restore tumor sensitivity to cuproptosis[97]. In ESCC, the metabolite lactic acid induces lactic acidification modification of NUDT21, altering the length of the 3’ untranslated region of FDX1, thereby suppressing FDX1 protein translation. The combination of lactic acid dehydrogenase inhibitors and elesclomol can disrupt this resistance axis[143]. Additionally, autophagy induced by hypoxia in the TME also downregulates FDX1[144], while certain long non-coding RNAs[145], transcription factors[146], and tumor suppressor p53[96] have been identified as positive regulators of FDX1. Therefore, restoring FDX1 expression or blocking negative regulatory pathways may represent a rational preclinical approach to resensitize tumor cells to cuproptosis.

Drug-based combination therapeutic strategies: Chemosensitization and immunotherapy

Cuproptosis provides a mechanistic basis for drug-based combination therapy in gastrointestinal tumors because it links copper homeostasis, mitochondrial metabolism, redox imbalance, and proteotoxic stress. In contrast to single-agent cuproptosis induction, combination strategies aim to exploit pre-existing metabolic vulnerabilities or to convert immunologically resistant tumors into more treatment-responsive states. Current evidence can be broadly divided into two categories: Chemotherapy sensitization and immune sensitization.

Chemotherapy resistance remains a major obstacle in gastrointestinal malignancies. Cuproptosis inducers or copper metabolism-targeting agents may enhance the efficacy of conventional chemotherapy by increasing intracellular copper accumulation, aggravating mitochondrial stress, and disrupting antioxidant defenses. In gastric cancer and other digestive system tumors, cuproptosis and ferroptosis show molecular interactions, suggesting that these two metal-dependent cell death pathways may create overlapping metabolic vulnerabilities[147]. In pancreatic ductal adenocarcinoma (PDAC), copper ionophores or copper transporter-targeting agents can increase intracellular copper levels and enhance the antitumor activity of cisplatin, possibly through shared transport mechanisms and cumulative mitochondrial damage[148]. In CRC, the ferroptosis inducer erastin suppresses glycolysis and promotes mitochondrial respiration, thereby increasing cellular sensitivity to cuproptosis through metabolic reprogramming[149]. Disulfiram combined with chemotherapy has also been reported to activate STING signaling through poly (ADP-ribose) polymerase 1 inhibition in pancreatic cancer, linking chemotherapy sensitization with innate immune activation[150]. These findings suggest that cuproptosis-based chemosensitization may be particularly relevant in tumors with altered copper transport, mitochondrial dependence, or impaired redox buffering.

Cuproptosis may also enhance antitumor immunity. Many gastrointestinal tumors, including gastric cancer and PDAC, display immunosuppressive or “cold tumor” features. Cuproptosis-related mitochondrial stress and cell death can promote the release of damage-associated molecular patterns, activate cGAS-STING signaling, and enhance dendritic cell maturation and CD8+ T-cell infiltration[151-154]. These mechanisms provide a rationale for combining cuproptosis inducers with immune checkpoint blockade. For example, copper/disulfiram-based strategies can promote ROS accumulation, induce cuproptosis-related immune activation, and improve the response to PD-L1 blockade[155]. Other approaches combine cuproptosis with pyroptosis to amplify inflammatory signaling and suppress CRC growth[156]. In liver-related gastrointestinal malignancies, mitochondrial-targeted copper complexes can disrupt mitochondrial function, induce mtDNA release, activate cGAS-STING signaling in macrophages, and promote M1-like polarization[157]. Dual-metal systems that induce both ferroptosis and cuproptosis may further remodel the immune microenvironment by reducing regulatory T cells and enhancing the efficacy of immune checkpoint blockade[158].

In PDAC, cuproptosis-based drug combinations may also interact with stromal and metabolic barriers. The nanoenzyme Pt@PCN-Cu induces cuproptosis through mitochondrial dysfunction and suppresses glycolysis by promoting hexokinase 2 dissociation, which is accompanied by PD-L1 upregulation and provides a rationale for combination with anti-PD-L1 therapy[60]. Delivery systems such as silk fibroin nanoparticles and thermosensitive hydrogels may improve intratumoral drug penetration, modulate stromal components, and enhance immune responses through cuproptosis-associated immunogenic cell death[159,160]. However, most of these strategies remain at the preclinical stage, and their efficacy is likely to depend on tumor subtype, metabolic state, stromal composition, and immune contexture. Therefore, the therapeutic value of cuproptosis-based drug combinations should be evaluated with greater attention to patient stratification and mechanism-based biomarkers.

Dietary copper intake and the gut microbiota: From metal homeostasis to a hypothesis-generating tumor axis

Dietary copper intake and the gut microbiota are closely connected through bidirectional regulation of metal availability, intestinal barrier integrity, microbial metabolism, and host inflammatory responses. However, the current evidence linking the dietary copper-gut microbiota axis to gastrointestinal tumor cuproptosis remains largely indirect. Most available studies demonstrate that intestinal microorganisms can influence copper absorption, bioavailability, and toxicity, whereas direct evidence showing that dietary copper reshapes tumor cuproptosis through microbiota-dependent mechanisms is still limited.

The gut microbiota may regulate copper homeostasis through several mechanisms, including physical barrier effects, modulation of intestinal pH and redox balance, and direct bioadsorption of metal ions[161,162]. Although host genetic factors remain dominant determinants of systemic copper levels, the abundance of specific bacterial taxa, such as Blautia and Lachnospiraceae UCG-008, has been associated with serum copper concentrations, suggesting that the microbiota functions as an environmental modifier of copper metabolism[163]. Certain probiotic strains may also participate in copper detoxification. For example, Bacillus coagulans XY2 exhibits copper tolerance and bioadsorption capacity and may promote host copper excretion by regulating the SREBF-1/2 pathway[164]. These findings support a role for the gut microbiota in copper handling, but they do not yet establish a direct tumor-specific cuproptosis mechanism.

Microbial metabolites provide a possible link between copper exposure and intestinal injury. Short-chain fatty acids, especially butyrate, are important mediators of epithelial barrier function and inflammatory control. In a piglet model, high copper intake depleted Lactobacillus johnsonii and disrupted the conversion of acetate to butyrate, thereby impairing tight junction integrity and increasing sensitivity to copper-induced intestinal damage[165]. Copper oxide nanoparticles also altered short-chain fatty acid profiles and affected immune-related signaling pathways, indicating that different copper forms may have distinct effects on microbiota-derived metabolites and intestinal immunotoxicity[166]. Conversely, some copper complexes may enrich short-chain fatty acid-producing bacteria under specific conditions[167]. Therefore, copper exposure can either impair or remodel microbial metabolism depending on dose, chemical form, exposure duration, and host context.

Beyond short-chain fatty acids, bile acid and lipid metabolism may also connect copper exposure with host metabolic injury. Excessive copper intake can disrupt bile acid homeostasis and promote non-alcoholic fatty liver disease through microbiota-dependent mechanisms[168]. In Wilson’s disease-related models, copper accumulation is associated with altered microbial function and dysregulated sphingolipid, glycerophospholipid, and triglyceride metabolism[169]. Chronic copper exposure can also perturb glycerophospholipid, retinol, and steroid hormone metabolism, accompanied by reduced Lactobacillus abundance and increased opportunistic pathogens[154,170]. These findings suggest that copper-microbiota interactions may influence epithelial injury, inflammation, and metabolic remodeling, all of which are relevant to gastrointestinal tumor biology.

Overall, the dietary copper-gut microbiota axis should currently be viewed as a biologically plausible but still hypothesis-generating framework in gastrointestinal cancer. The most robust evidence supports the role of gut microbiota in copper bioavailability, barrier function, short-chain fatty acid metabolism, and inflammatory toxicity. In contrast, direct evidence linking dietary copper intake, microbiota remodeling, cuproptosis regulators, and gastrointestinal tumor progression remains insufficient. Future studies should integrate dietary copper quantification, microbiome sequencing, tumor copper burden, cuproptosis markers, and longitudinal tumor outcomes to determine whether this axis represents a causal driver, a disease-associated correlate, or a therapeutic vulnerability (Figure 3).

Figure 3
Figure 3 Dietary copper-gut microbiota-tumor axis in gastrointestinal cancer. Dietary copper, gut microbiota, and microbial metabolites may influence copper availability, epithelial barrier integrity, inflammatory toxicity, and tumor-related metabolic states in gastrointestinal cancer. Dysbiosis may disrupt intestinal barrier function and alter copper handling, whereas protective metabolites such as short-chain fatty acids may help preserve barrier integrity and limit systemic copper toxicity. SCFA: Short-chain fatty acid.

Overall, pharmacological induction of cuproptosis offers a promising but still preclinical therapeutic direction. Copper ionophores, FDX1-axis modulators, and combination strategies may enhance tumor vulnerability, but their efficacy is likely to depend on mitochondrial state, copper transporter expression, immune contexture, and resistance mechanisms. Biomarker-guided selection will be essential before clinical translation.

NATURAL PRODUCTS AND TCM: MECHANISTIC OPPORTUNITIES AND EVIDENCE LIMITATIONS

Natural products and TCM-derived compounds have attracted attention as potential modulators of copper stress, mitochondrial metabolism, redox balance, and cuproptosis-related vulnerability. Nevertheless, this field requires careful interpretation. Many studies demonstrate that natural compounds can chelate copper, transport copper, regulate ROS, or affect mitochondrial function, but only a smaller subset directly proves canonical cuproptosis events such as lipoylated protein aggregation, Fe-S cluster protein loss, or dependence on FDX1/LIAS/DLAT-related pathways. Therefore, natural products should be discussed as mechanistic leads or hypothesis-generating candidates unless tumor-specific cuproptosis evidence is available.

Natural products as copper-binding or copper-transporting agents

Some phytochemicals can interact with copper ions and thereby modify copper-dependent cytotoxicity. Curcumin has been reported to act as an anticancer copper ion carrier, inducing copper stress and cuproptosis-related proteomic changes, including glutamine transporter activation and Fe-S cluster protein loss[171]. Chlorogenic acid and caffeic acid can exert copper-dependent pro-oxidative effects by promoting DNA damage[172]. In HCC, a copper ion carrier complex combined with quercetin has been shown to target the cuproptosis-related protein FDX1 and promote lipoylated protein aggregation, thereby reversing drug resistance[141]. These studies provide relatively direct mechanistic support for the involvement of copper stress and cuproptosis-related pathways.

However, many other natural product-copper studies remain less directly connected to cuproptosis. Copper-based delivery systems containing curcumin, including copper-aspartic acid bio-metal-organic frameworks, mitochondria-targeting copper nanocarriers, and copper-doped polydopamine nanoparticles, mainly demonstrate improved delivery, ROS generation, or chemodynamic therapy (CDT) effects[173,174]. Flavonoids such as quercetin, kaempferol, and luteolin can form copper complexes and regulate oxidative damage, antioxidant activity, or DNA interaction[175-177], but these findings do not necessarily indicate canonical cuproptosis. Similarly, plant-extract-mediated green synthesis of copper or copper oxide nanoparticles has shown antibacterial, antidiabetic, and anticancer activities[178-181], while natural product-loaded copper nanocarriers may improve solubility and synergistic cytotoxicity[182-185].

Thus, natural products may influence copper-dependent tumor vulnerability through at least three routes: Copper chelation or transport, ROS amplification, and mitochondrial metabolic remodeling. Among these, direct cuproptosis induction is currently best supported when studies demonstrate copper dependence, lipoylated protein aggregation, Fe-S cluster protein loss, and rescue by cuproptosis pathway modulation. Without these criteria, the evidence should be considered suggestive rather than conclusive.

Targeting mitochondrial metabolism and redox balance: Potential sensitization to cuproptosis

Because cuproptosis depends on mitochondrial respiration and the accumulation of lipoylated TCA-cycle proteins, natural compounds that remodel mitochondrial metabolism may alter cellular sensitivity to copper-induced death. Resveratrol can activate the SIRT1/PGC-1α pathway and enhance mitochondrial biogenesis and OXPHOS in certain tumor models[186,187]. Theoretically, this metabolic state may increase susceptibility to cuproptosis, although most available studies describe apoptosis, autophagy, or general mitochondrial stress rather than direct cuproptosis. In contrast, compounds such as oridonin, triptolide, and dihydroartemisinin can impair mitochondrial function, reduce ATP production, disrupt mitochondrial membrane potential, and induce ROS accumulation[188-190]. These effects may create a permissive environment for copper-dependent toxicity, especially when combined with copper ion carriers.

Natural products may also affect glycolysis-TCA-cycle balance. Shikonin targets PKM2, inhibits glycolysis, and modulates mitochondrial metabolism[191]. By suppressing glycolytic dependence, shikonin may force tumor cells toward mitochondrial respiration and thereby theoretically increase cuproptosis vulnerability. Flavonoids such as quercetin and kaempferol can also regulate mitochondrial enzyme activity and energy metabolism[192,193]. However, whether these changes increase lipoylated DLAT aggregation or alter FDX1/LIAS-dependent cuproptosis remains to be clarified.

Redox regulation represents another possible mechanism. Triptolide can induce ROS accumulation, deplete GSH, and impair antioxidant enzyme activity[193,194]. Curcumin and its derivatives also disrupt mitochondrial homeostasis through ROS generation and GSH depletion[195,196]. Artemisinin derivatives contain peroxide bridge structures that can produce radicals in the presence of iron or copper ions, leading to mitochondrial protein and lipid damage[197,198]. Berberine derivatives have also been identified as thioredoxin reductase inhibitors, weakening cellular antioxidant defenses[199]. These mechanisms may synergize with copper-induced proteotoxic stress, but they should not be equated with cuproptosis unless canonical cuproptosis markers are directly demonstrated.

Collectively, TCM-derived and natural compounds offer a rich source of copper-interacting or mitochondria-modulating agents. The strongest evidence currently supports their roles in copper binding, ROS regulation, mitochondrial stress, and drug delivery enhancement. By contrast, their direct role as gastrointestinal tumor cuproptosis inducers remains preliminary. Future studies should prioritize mechanistic validation using copper chelation rescue, FDX1/LIAS/DLAT pathway interrogation, lipoylated protein aggregation assays, Fe-S cluster protein detection, and tumor-specific in vivo models (Figure 4).

Figure 4
Figure 4 Multi-target regulation of cuproptosis by traditional Chinese medicine and natural products. Traditional Chinese medicine-derived compounds and natural products may modulate cuproptosis-related vulnerability through copper binding or transport, mitochondrial metabolic remodeling, reactive oxygen species accumulation, glutathione depletion, and Fe-S cluster destabilization. Representative agents illustrate the multi-component and multi-target potential of natural products in copper-dependent cancer therapy, although direct evidence for canonical cuproptosis remains context-dependent. ROS: Reactive oxygen species; GSH: Glutathione; CTR1: Copper transporter 1; MDR: Multi-drug resistance; DNA: Deoxyribonucleic acid; TCA: Tricarboxylic acid cycle; OXPHOS: Oxidative phosphorylation; TCM: Traditional Chinese medicine.
NANOMEDICINE-ENABLED CUPROPTOSIS THERAPY: DELIVERY, AMPLIFICATION, AND IMAGING GUIDANCE

Nanomedicine provides a practical strategy to improve cuproptosis-related therapy by enhancing copper delivery, reducing nonspecific toxicity, amplifying TME-responsive cytotoxicity, and enabling imaging-guided treatment. These advantages are particularly relevant for gastrointestinal tumors, which often exhibit stromal barriers, acidic pH, redox imbalance, hypoxia, and heterogeneous drug penetration.

However, most nanomedicine-based cuproptosis strategies remain preclinical. Many platforms demonstrate ROS production, mitochondrial injury, or tumor growth inhibition, but only a subset directly verifies canonical cuproptosis events, such as lipoylated TCA-cycle protein aggregation, Fe-S cluster protein loss, FDX1/LIAS/DLAT pathway dependence, or copper chelation rescue. Therefore, nanomedicine should be viewed as an enabling technology for improving copper-based therapy, rather than as definitive evidence that cuproptosis has been successfully translated into the clinic.

Improving drug delivery and reducing nonspecific toxicity

One major function of nanomedicine is to overcome the poor solubility, instability, and systemic toxicity of copper ionophores or copper-containing drugs. Disulfiram/Cu(DDC)2-based formulations have been engineered using dendrimers, liposomes, polymeric carriers, and cyclodextrin-based systems to improve drug loading, serum stability, and tumor accumulation[200-202]. These strategies provide a useful delivery framework, but their translational value depends on whether they can achieve sufficient tumor exposure while avoiding off-target copper toxicity.

Tumor-selective activation is another important design principle. Rather than directly administering toxic copper complexes, some platforms use relatively inert precursors that are converted into active copper drugs within the TME. For example, Zn(DDC)2 liposomes can undergo endogenous copper exchange in tumors to generate cytotoxic Cu(DDC)2 in situ[203]. Similarly, pH- or redox-responsive nanoparticles can release disulfiram and Cu2+ under tumor-specific conditions, promoting copper diethyldithiocarbamate complex formation, ROS accumulation, and immunogenic cell death[204,205]. These systems are promising, but future studies should better define biodistribution, copper leakage, long-term clearance, and whether the observed cytotoxicity is truly cuproptosis-dependent.

TME-responsive amplification of copper-dependent cytotoxicity

TME-responsive nanoplatforms exploit acidic pH, high GSH levels, and abnormal H2O2 metabolism to enhance copper-dependent cytotoxicity. pH-responsive metal-organic frameworks, coordination polymers, and peroxide-containing nanomaterials can degrade under acidic tumor conditions and release Cu2+, H2O2, or chemotherapeutic payloads[206,207]. This strategy increases local copper availability and provides substrates for Fenton-like reactions while reducing premature systemic leakage[208-210].

GSH-responsive systems further amplify oxidative stress. High intracellular GSH normally protects tumor cells by scavenging ROS, but redox-active nanoplatforms can consume GSH and convert Cu2+ to catalytically active Cu+, thereby enhancing hydroxyl radical production[211-217]. This process weakens antioxidant defenses and may promote both copper-dependent mitochondrial injury and ferroptosis-like lipid peroxidation[218,219]. Some designs also incorporate glucose oxidase to generate H2O2 in situ, linking starvation therapy with chemodynamic amplification[213,220].

Despite their mechanistic appeal, TME-responsive platforms face important limitations. Tumor acidity, GSH abundance, and H2O2 levels vary substantially across tumor types and even within the same tumor. In addition, multifunctional platforms often make it difficult to distinguish cuproptosis from ferroptosis, apoptosis, CDT-related oxidative injury, or nonspecific toxicity. Future studies should combine copper distribution analysis, redox imaging, cuproptosis marker detection, and rescue experiments to clarify mechanism.

PTT, PDT, and CDT-enhanced cuproptosis

Copper-based nanomaterials are well suited for integrating CDT, PTT, PDT, and cuproptosis. In acidic and H2O2-rich TMEs, copper ions catalyze Fenton-like reactions to generate hydroxyl radicals, forming the basis of CDT[221]. Meanwhile, excessive intracellular copper can induce cuproptosis by binding to lipoylated TCA-cycle proteins, promoting protein aggregation and destabilizing Fe-S cluster proteins[222]. These two processes may reinforce each other because ROS damages mitochondria and disrupts copper homeostasis, while cuproptosis-associated proteotoxic stress weakens antioxidant defenses[223,224].

PTT and PDT provide external energy to amplify this process. Under near-infrared irradiation, PTT increases local temperature, accelerates Fenton-like reaction kinetics, and promotes copper ion release from nanocarriers[225-227]. PDT generates singlet oxygen and other ROS, which cooperate with CDT-derived hydroxyl radicals to create stronger oxidative stress[228,229]. GSH depletion further sustains this redox loop by reducing ROS scavenging and promoting Cu2+/Cu+ cycling[228,229].

To overcome insufficient H2O2 and excessive GSH in tumors, some platforms incorporate glucose oxidase or calcium peroxide to generate H2O2 in situ while consuming glucose[230,231]. Copper ions can also consume GSH and increase catalytically active Cu+, forming a self-amplifying loop involving H2O2 supply, GSH depletion, ROS generation, copper release, mitochondrial damage, and cuproptosis induction[232]. Although these therapies may also induce immunogenic cell death[62,117], their primary mechanism in this section should be understood as physical and chemical amplification of copper-dependent cytotoxicity (Figure 5).

Figure 5
Figure 5 Smart nanomedicine strategies for synergistic cuproptosis therapy. Engineered nanocarriers, including metal-organic frameworks, liposomes, and biomimetic platforms, enable tumor-targeted Cu2+ delivery and controlled Cu+ release in acidic and glutathione-rich tumor microenvironments. Local copper accumulation may promote cuproptosis-related cytotoxicity and synergize with chemodynamic, photothermal, photodynamic, and immune-activating strategies by enhancing mitochondrial damage and oxidative stress. MOF: Metal-organic framework; ECM: Extracellular matrix; GSH: Glutathione; GSSH: Glutathione thiol; GSSG: Glutathione disulfide; CDT: Chemodynamic therapy; PTT: Photothermal therapy; PDT: Photodynamic therapy; NIR: Near-infrared; ICD: Immunogenic cell death; DAMP: Damage-associated molecular pattern; DC: Dendritic cell; HMGB: High mobility group box protein; ATP: Adenosine triphosphate.
Theranostics

Theranostic nanoplatforms integrate tumor imaging with copper-based therapy, enabling visualization of nanodrug accumulation, biodistribution, and treatment response. For cuproptosis-related therapy, their potential value lies in linking copper delivery, redox activation, mitochondrial injury, and therapeutic monitoring. However, the current evidence is still mainly preclinical, and many platforms demonstrate general ROS-mediated cytotoxicity rather than definitive cuproptosis. Therefore, theranostic systems should be interpreted as enabling technologies for monitoring and guiding copper-based therapy, rather than as established clinical strategies for gastrointestinal tumor cuproptosis treatment.

Magnetic resonance imaging -guided strategies: Magnetic resonance imaging (MRI)-guided copper-based theranostics mainly rely on copper-containing materials or the incorporation of Mn- and Fe-based contrast components. These systems can enhance T1- or T2-weighted imaging while simultaneously mediating copper release, Fenton-like reactions, photothermal effects, or mitochondrial injury (Table 2).

Table 2 Magnetic resonance imaging-guided copper-based theragnostic strategies.
Imaging strategy
Representative platform
Main therapeutic mechanism
Evidence status/limitation
Ref.
MRI-guided copper deliveryCopper-DNA nanoparticlesTumor imaging, Fenton-like ROS generation, mitochondrial dysfunction, ICDShows imaging-therapy integration, but cuproptosis specificity requires further validation[270]
T1-weighted MRI + PTT/CDTCuS/Mn2+ hybrid nanogelsMRI-guided photothermal and chemodynamic therapyStrong imaging signal and synergistic therapy; mainly preclinical[271]
T1-weighted MRI + PTTUltrasmall Cu1.2O nanoparticlesMRI-guided photothermal ablationDemonstrates copper-based imaging potential; direct cuproptosis markers are limited[272]
MRI-guided multi-metal therapyFe3O4@C/CuOx nanoenzymesMRI guidance, chemotherapy, PTT, copper/iron-mediated cytotoxicityMultifunctional but mechanistically complex[273]
TME-responsive MRICu-Fe peroxide-containing nanoparticlesCu-assisted iron cycling and Fenton amplificationStrong redox rationale; biosafety and clearance need validation[274]
MRI-guided PDAC therapyCollagenase-modified copper-containing hollow mesoporous silica nanoparticlesStromal modulation and copper-induced cytotoxicityTumor-specific design for PDAC; translation remains early[255]
MRI-guided ferroptosis/cuproptosis/CDTCuO2-loaded dendritic macromolecule/metal-polysaccharide nanocompositesTME regulation, ROS amplification, ferroptosis and cuproptosisPromising combination design, but pathway attribution remains challenging[275]
MRI + NIR-triggered cascade therapyCu/Mn-doped iron oxide nanocrystalsDrug release, Cu2+ chelation, ferroptosis/cuproptosis cascadeIntegrates imaging and cascade therapy; preclinical validation needed[276]
Activatable MRI + PDT/CDTGSH/H2O2-responsive magnetic Cu2+ nanocomplex“On-off” MRI activation, Cu+ release, hydroxyl radical generation, PDT enhancementSmart activation design; in vivo specificity requires further testing[277]
MRI-guided chemo-immunotherapyPhosphorus dendrimer-copper complexesMitochondrial dysfunction, ER stress, immunotherapy enhancementIllustrates theragnostic potential, but not exclusively cuproptosis-driven[278]

Positron emission tomography and multimodal imaging strategies: Compared with MRI, positron emission tomography imaging using 64Cu-labeled nanomaterials provides high sensitivity and quantitative tracking of tumor accumulation. Multimodal systems further combine positron emission tomography, MRI, computed tomography, fluorescence, photoacoustic imaging, or upconversion luminescence to improve diagnostic accuracy and treatment guidance. These systems are valuable for monitoring delivery and biodistribution, but their therapeutic relevance depends on whether imaging signals correlate with copper release, tumor retention, cuproptosis-specific markers, and treatment response (Tables 3 and 4).

Table 3 Positron emission tomography and multimodal imaging strategies for copper-based theragnostics.
Imaging strategy
Representative platform
Main therapeutic mechanism
Evidence status/limitation
Ref.
64Cu-PET + phototherapy64Cu-labeled porphyrin-lipid nanoparticlesPET tracking of tumor uptake and photochemical ablationUseful for biodistribution monitoring; cuproptosis relevance is indirect
64Cu-PET + chemotherapyCCR2-targeted Cu@CuOx nanoparticles loaded with gemcitabinePET imaging and drug delivery in PDACTumor-targeted strategy; clinical validation required[279]
64Cu-PET + chemo/radiotherapyAlbumin-binding camptothecin nanoprodrugTumor retention, PET imaging, chemotherapy and radiotherapyStrong theragnostic design; mainly proof-of-concept[280]
64Cu-PET targeted therapy64Cu-labeled immunoliposomesEGFR-targeted PET imaging and therapyApplicable to receptor-high tumors; tumor selectivity is key[281]
PET-guided BNCT64Cu-chelated boron neutron capture therapy platformPET tracking of boron agent accumulationSupports treatment planning; not primarily cuproptosis-based[282]
UCL/CT/MRI-guided therapyUpconversion nanoplatforms encapsulating CuSRadiotherapy and PTTMultimodal imaging enables guidance, but platform complexity is high[283]
Four-modal imagingCuS and rare-earth nanoparticle-loaded zeolitic imidazolate compositesImaging-guided chemoradiotherapyBroad imaging capacity; translational reproducibility uncertain
MRI-guided X-ray PDTCopper-cysteine nanoparticlesDeep-tumor PDT under X-ray irradiationSuitable for deep lesions; mechanism is mainly ROS-based[284]
Fluorescence/MRI-guided CDTCuS/Gd2O3based nanoprobesThermally enhanced CDTUseful dual-modal design; cuproptosis specificity remains to be proven[285]
Multiparametric MRI response monitoringCuS@GOD nanoparticlesStarvation therapy, ROS generation, treatment response assessmentImaging mainly monitors response rather than directly proving cuproptosis[286]
Table 4 Therapeutic strategies targeting cuproptosis and their evidence level.
Strategy
Representative mechanism
Current evidence level
Main limitation
Ref.
Copper ionophoresIncrease intracellular copper and induce mitochondrial copper toxicityMainly preclinical tumor modelsSystemic toxicity, delivery instability, and patient selection remain unresolved[119,120,122-127]
Disulfiram/CuET-based therapyForms cytotoxic copper complexes and induces oxidative/mitochondrial stressPreclinical and organoid evidenceStability, specificity, and mechanism heterogeneity[128-134]
FDX1-LIAS-DLAT axis modulationEnhances lipoylated substrate availability and copper sensitivityPreclinical mechanistic evidenceRequires validated biomarkers and rescue experiments[92-98,137-146]
Metabolic sensitizationShifts tumor cells from glycolysis toward OXPHOS to increase cuproptosis susceptibilityPreclinical evidenceTumor metabolic states are heterogeneous and context-dependent[47,50,140,269]
Chemotherapy sensitizationCombines copper stress with platinum drugs, 5-FU, gemcitabine, or metabolic stressPreclinical evidence in GC, CRC, and PDAC modelsOptimal tumor subtype and treatment sequence remain unclear[147-150]
Immunotherapy combinationCuproptosis-associated mitochondrial stress may enhance cGAS-STING activation, ICD-like responses, and immune checkpoint blockadePreclinical evidenceImmune activation is context-dependent and should not be considered the defining mechanism of cuproptosis[151-160,287,288]
TME-responsive nanomedicinepH/GSH/H2O2-triggered copper release, ROS amplification, and mitochondrial injuryPreclinical nanoplatform studiesPlatform complexity, biodistribution, clearance, and reproducibility[203-220,289-293]
PTT/PDT/CDT-enhanced cuproptosisUses external energy and redox cycling to enhance ROS production, copper release, and cuproptosis-related cytotoxicityPreclinical nanomedicine evidenceDifficult to distinguish cuproptosis from CDT/PDT/PTT-induced nonspecific oxidative injury[227,230-232]
Theranostic platformsImaging-guided copper delivery and response monitoringPreclinical imaging studiesImaging signal does not directly prove cuproptosis activation[255,270-277,279-286,294,295]
CHALLENGES, TRANSLATIONAL BARRIERS, AND FUTURE DIRECTIONS
Patient stratification and biomarkers

For the potential translation of copper metabolism- and cuproptosis-based strategies in gastrointestinal tumors, identifying patients most likely to benefit remains a major challenge. Because cuproptosis depends on mitochondrial respiration and lipoylated TCA-cycle proteins, an exploratory biomarker framework incorporating key regulators and metabolic signatures may help identify GC and CRC patients who are more likely to respond to copper ionophores.

FDX1, as a key upstream regulator of cuproptosis, directly determines the sensitivity of tumor cells to cuproptosis inducers. In CRC, FDX1 is typically underexpressed, but its overexpression is positively correlated with favorable patient prognosis and immune cell infiltration[233]. Mechanistic studies have shown that the long non-coding RNA plasmacytoma variant translocation 1 can activate FDX1 transcription through epigenetic modifications, thereby increasing tumor cell sensitivity to elesclomol[145]. Conversely, low FDX1 expression is often associated with accelerated epithelial-mesenchymal transition and malignant progression of tumors[234]. In gastric adenocarcinoma, FDX1 has also been confirmed as an independent prognostic factor, with its expression regulated by the LncRNA MALAT1/miR-328-3p axis[88]. Therefore, detecting FDX1 expression levels and its upstream regulatory network is the first step in screening patients who may benefit from cuproptosis therapy.

Cuproptosis depends on copper binding to lipoylated enzymes in the TCA cycle. Therefore, LIAS-dependent lipoylation status, DLAT abundance, and mitochondrial metabolic state may represent important determinants of cuproptosis sensitivity. In ESCC, TRIM21 promotes the nuclear entry of ALKBH5 to demethylate LIAS mRNA, leading to LIAS downregulation and consequently limiting cuproptosis. The combination with an O-linked N-acetylglucosamine transferase inhibitor restores LIAS levels and enhances the efficacy of elesclomol[121]. In GC, the tryptophan metabolizing enzyme KYNU downregulates LIAS expression through a non-canonical mechanism, resulting in tumor cell resistance to cuproptosis[123]. Additionally, DLAT, as a key component of the pyruvate dehydrogenase complex, is associated with poor prognosis and immune evasion in GC, but its high expression may also indicate potential responsiveness to cuproptosis inducers[235,236]. Notably, metabolic reprogramming provides guidance for sensitivity screening: Inhibition of glycolysis forces cancer cells to rely on mitochondrial respiration, significantly enhancing their sensitivity to cuproptosis[140]. Thus, evaluating LIAS/DLAT expression and the tumor’s glycolytic/OXPHOS propensity serves as an important basis for patient stratification[122] (Figure 6).

Figure 6
Figure 6 Clinical translation roadmap for precision cuproptosis-targeted therapy. Precision cuproptosis therapy requires patient stratification according to ferredoxin 1 expression, protein lipoylation status, and metabolic phenotype. Tumors with high ferredoxin 1/Lipoylation and oxidative phosphorylation dependence may respond to copper ionophore-based therapy, whereas glycolytic or stromal-rich resistant tumors may require metabolic rewiring, stroma remodeling, or nanodelivery strategies. Protective agents such as selenium may further improve the therapeutic window by reducing off-target hepato-renal toxicity. FDX1: Ferredoxin 1; DLAT: Dihydrolipoamide S-acetyltransferase; LIAS: Lipoic acid synthase; TCA: Tricarboxylic acid cycle; OXPHOS: Oxidative phosphorylation; PDK: Pyruvate dehydrogenase kinase; ECM: Extracellular matrix.

Given the limitations of single-gene prediction, molecular phenotyping models integrating multi-omics data provide more precise tools for patient stratification. Researchers have developed a pan-cancer phenotyping system based on cuproptosis and hypoxia characteristics, identifying a subtype with high metabolic activity and low fibrosis features as more sensitive to cuproptosis inducers[237]. In GC, a scoring system based on nuclear-encoded mitochondrial genes revealed that patients with high nuclear-encoded mitochondrial genes scores were enriched with cuproptosis-related genes, suggesting their potential sensitivity to cuproptosis therapy[238]. Additionally, cluster analysis combining metabolic features identified specific GC subtypes, whose upregulated TCA cycle characteristics were positively correlated with cuproptosis signaling[239]. For CRC, assessments based on HIF-1α signaling pathway status and vasoactive intestinal peptide receptor 1 expression can also assist in predicting patient responses to copper chelators or inducers[146].

In clinical translation, identifying molecular signatures underlying cuproptosis resistance is equally critical, as it aids in excluding inapplicable populations or formulating combination therapy regimens. CDKN2A has been confirmed as a key driver of cuproptosis resistance in CRC, promoting tumor survival by modulating glycolysis and copper homeostasis[240,241]. SNHG26 further enhances this resistance by stabilizing CDKN2A mRNA[125]. Additionally, overexpression of the transcription factor E2F3[126] and activation of B cell lymphoma/Leukemia 10 via the nuclear factor kappaB pathway[242] have been found to increase resistance to elesclomol in CRC cells. Specific splicing factors, such as PTBP3-mediated COX11 exon skipping, can also lead to reduced mitochondrial copper content, thereby conferring GC cells with the ability to evade cuproptosis[243]. Detection of these resistance factors' expression levels serves as a critical reference for clinical exclusion of monotherapy with cuproptosis agents or for suggesting the need for combination with sensitizer agents (e.g., PI3K/AKT/mammalian target of rapamycin inhibitors[244]).

In summary, patient stratification for cuproptosis-based therapy should not rely on a single marker. A practical biomarker framework should integrate copper transporters, FDX1/LIAS/DLAT expression, lipoylated protein abundance, mitochondrial respiration status, hypoxia signatures, and resistance-associated regulators. At present, these biomarkers remain exploratory and require prospective validation before clinical application.

Tumor heterogeneity and microenvironmental barriers

In clinical translational research of gastrointestinal tumors, the heterogeneity of the TME constitutes a major barrier to the application of cuproptosis therapy, with hypoxic conditions and metabolic reprogramming being key factors limiting its efficacy. Cuproptosis is a mitochondrial respiratory-dependent form of cell death, whose mechanism involves the binding of copper ions to acylated proteins in the TCA cycle and subsequent protein toxic stress. However, gastrointestinal tumors (such as GC, pancreatic cancer, and CRC) typically exhibit highly hypoxic characteristics. The activation of HIF-1α promotes a shift in tumor cells from OXPHOS to glycolysis and glutamine catabolism, which may impair cellular sensitivity to cuproptosis[245-247]. Studies have found that dissipation of mitochondrial membrane potential through mitochondrial uncouplers can enhance respiratory activity and upregulate the expression of key regulatory proteins FDX1 and DLAT, thereby significantly improving the sensitivity of GC cells to the copper ion carrier elesclomol[48]. This suggests that overcoming hypoxia-induced metabolic adaptation and reactivating mitochondrial respiratory function are critical strategies for enhancing the efficacy of cuproptosis therapy in hypoxic solid tumors.

In addition to metabolic disorders, the physical barrier formed by dense extracellular matrix and connective tissue proliferation severely impedes the penetration of cuproptosis inducers or copper-based cytotoxic agents. In PDAC and GC, cancer-associated fibroblasts and members of the lysyl oxidase (LOX) family are highly active, catalyzing collagen cross-linking, which leads to increased matrix stiffness and elevated interstitial pressure[248-250]. This dense matrix not only compresses blood vessels to exacerbate hypoxia but also restricts drug diffusion[251,252]. High expression of LOX is closely associated with poor prognosis and chemotherapy resistance in gastrointestinal tumors[253], while the use of pan-LOX inhibitors can effectively reduce matrix stiffness, improve tumor perfusion, and enhance chemotherapy efficacy[254]. Therefore, improving stromal penetration and achieving sufficient intratumoral delivery of copper ionophores remain key barriers for future translational development.

To address these microenvironmental barriers, multifunctional delivery systems with matrix-remodeling or hypoxia-responsive properties have been actively investigated in preclinical studies. A collagenase-modified copper-based nanodelivery platform can degrade dense extracellular matrix barriers, promote deeper penetration of copper and drugs, and use copper as an MRI-relevant component to support imaging-guided copper-based cytotoxic therapy[255]. Additionally, designing hypoxia-responsive nanomicrospheres or vesicles not only enables targeted drug release upon reaching hypoxic regions but also alleviates hypoxia, reduces matrix stiffness, or normalizes tumor vasculature through co-delivery of drugs, thereby synergistically enhancing antitumor efficacy[251,256-258]. For instance, bacterial-nanodrug conjugates targeting the degradation of oncogenic collagen have been demonstrated to effectively overcome matrix barriers and enhance immunotherapy outcomes[258]. These studies suggest that combining copper-based cytotoxic agents with TME modulation may help overcome stromal and hypoxia-related barriers, although further validation in gastrointestinal tumor-specific models is needed.

In summary, tumor heterogeneity, hypoxia, and stromal barriers may substantially limit the efficacy of cuproptosis-based therapy. Future strategies should not only deliver copper or copper ionophores, but also define the metabolic and microenvironmental states that permit cuproptosis activation.

Safety and therapeutic window

Copper ion carriers and copper-based nanomaterials demonstrate significant potential in inducing cuproptosis in tumor cells, but the core obstacle to their clinical translation lies in the cumulative toxicity of copper ions in non-targeted organs. Copper can contribute to tumor cytotoxicity, but excessive systemic copper exposure may also cause hepatotoxicity, nephrotoxicity, and neurotoxicity. Studies have shown that copper overload can lead to severe mitochondrial dysfunction and oxidative stress in hepatocytes, even triggering pathological changes resembling Wilson’s disease[259]. Additionally, co-exposure to copper and environmental pollutants may induce synergistic toxicity through the gut-heart axis, resulting in myocardial fibrosis and heart failure[260]. In animal models, high-dose exposure to copper oxide nanoparticles has been shown to significantly reduce the activity of antioxidant enzymes in hepatic and renal tissues, leading to severe oxidative damage and tissue necrosis[261]. Therefore, establishing a therapeutic window requires achieving sufficient tumor copper stress while minimizing nonspecific copper accumulation in the liver, kidneys, and brain.

To address systemic toxicity, environment-responsive “cuproptosis switches” and multifunctional nanoplatforms have been explored as potential approaches. Researchers have designed TME-sensitive nanocarriers that utilize tumor-specific acidic conditions, high GSH levels, or exogenous stimuli to precisely control copper ion release. For instance, a pH-responsive “cuproptosis switch” nanocapsule can remain “off” in the bloodstream to minimize off-target leakage, while activating Cu2+ release in the acidic TME and synergizing with STING agonists to achieve immune enhancement, thereby improving tumor selectivity while reducing systemic toxicity in preclinical models[56]. Another study developed an acid-responsive bifunctional copper-coordinated polymer, which not only enables pH-dependent copper release but also reverses metabolic reprogramming through p53 activators, enhancing cuproptosis sensitivity with limited organ toxicity observed in preclinical evaluation[95]. Additionally, hyaluronic acid-or aptamer-modified nanocatalysts can target CD44 or nucleolin on tumor cell surfaces, promoting drug-specific uptake and in situ catalysis, significantly reducing damage to normal tissues[262,263].

Another safety-oriented strategy is to exploit endogenous tumor copper or modulate copper transporters, rather than relying solely on high-dose exogenous copper supplementation. For instance, a modularly assembled nanoliposome was designed to “seize” endogenous copper: It first delivers the copper chelator diffusible signal factor to the tumor, where it chelates endogenous copper in situ to form toxic complexes while simultaneously releasing nitric oxide to inhibit the expression of copper export protein ATP7B, thereby promoting tumor-selective copper stress without substantially increasing systemic copper load in preclinical models[264]. Similar strategies include designing cascade-targeting nanomodulators that inhibit copper export proteins, exacerbating copper overload in tumor mitochondria by blocking copper efflux pathways[265]. This approach ingeniously exploits the metabolic vulnerabilities of tumors, avoiding the risks associated with systemic copper exposure.

In addition to optimizing delivery systems, the introduction of protective formulations is also a critical approach to balancing efficacy and safety. Studies have demonstrated that selenium supplementation can effectively mitigate copper-induced systemic toxicity, protect hepatic and renal functions, and alleviate immunosuppression by reprogramming the transcriptome and restoring redox homeostasis[266]. At the molecular design level, rational alkyl chain modification of copper ion carriers can enhance their lipophilicity and copper-binding affinity, enabling them to maintain high copper-induced apoptosis efficiency while exhibiting low systemic toxicity[267]. Furthermore, to address potential risks of copper overload, the development of gastrointestinal-restricted cellulose-based copper adsorbents serves as a potential detoxification strategy to assist in regulating copper homeostasis and further ensure treatment safety[268].

In summary, safety remains a central barrier to cuproptosis-based therapy. Future studies should systematically evaluate dose-response relationships, long-term copper retention, organ-specific toxicity, and reversibility of copper-induced damage. A clinically meaningful therapeutic window will require both tumor-selective activation and reliable strategies for limiting systemic copper exposure (Table 5).

Table 5 Major resistance mechanisms and possible sensitization approaches.
Resistance mechanism
Biological basis
Possible sensitization approach
Ref.
Low mitochondrial respiration/Warburg phenotypeReduced TCA-cycle activity limits lipoylated substrate abundance and cuproptosis sensitivityInhibit glycolysis or shift metabolism toward OXPHOS[46-51,75-86,269,296-306]
FDX1 downregulationReduces Cu2+ reduction and decreases lipoylation-related cuproptosis susceptibilityRestore FDX1 expression or block negative regulators[87-98,143-146,307-311]
LIAS suppressionReduces mitochondrial protein lipoylation and limits cuproptosis substrate formationRestore LIAS expression or combine with OGT/epigenetic modulators[121,123]
DLAT insufficiency or altered mitochondrial substrate availabilityLimits aggregation of lipoylated DLAT and downstream proteotoxic stressIncrease mitochondrial TCA-cycle dependence or select DLAT-high tumors[42,43,94,235,236]
Copper efflux activationATP7A/ATP7B-mediated copper export lowers intracellular copper accumulationInhibit copper efflux or enhance tumor copper retention[66-74,312]
Hypoxia and HIF-1α activationPromotes glycolysis and reduces mitochondrial respiration-dependent cuproptosis sensitivityCombine with hypoxia modulation or metabolic reprogramming strategies[47,245-247,269]
Dense ECM/stromal barriersLimits penetration of copper ionophores and nanodrugs, especially in PDAC and GCUse matrix-remodeling delivery systems or stromal-modulating strategies[249-254,256-258]
Antioxidant buffering/high GSHScavenges ROS and weakens copper-dependent oxidative stressUse GSH-depleting or redox-active nanoplatforms[206-220,232,290-293,313]
Alternative death pathway dominanceFerroptosis, apoptosis, ICD, or CDT-induced oxidative injury may coexist with cuproptosis, complicating mechanism attributionUse pathway-specific inhibitors, copper chelation rescue, FDX1/LIAS/DLAT validation, and lipoylated protein aggregation assays[62,106,114-118,221-232,312-316]
Systemic copper toxicityOff-target copper accumulation may injure liver, kidney, brain, or other organsDevelop tumor-selective activation systems and evaluate long-term clearance and organ toxicity[259-268]
CONCLUSION

Cuproptosis has introduced a new conceptual framework for understanding the relationship between copper homeostasis, mitochondrial metabolism, protein lipoylation, and tumor vulnerability. In gastrointestinal tumors, accumulating evidence suggests that cuproptosis-related regulators may participate in tumor progression, metabolic remodeling, immune microenvironment regulation, therapeutic resistance, and prognosis prediction. However, this field remains at an early stage. Since cuproptosis was only recently defined as a distinct form of regulated cell death, most current studies are based on bioinformatic analyses, tumor tissue validation, cell-line experiments, organoid models, and animal studies. Direct clinical evidence in gastrointestinal cancers is still limited, and cuproptosis-targeted therapy should therefore be regarded as an emerging research direction rather than an established clinical strategy.

Over the next 3-5 years, several key priorities should be addressed to move this field forward. First, standardized and clinically applicable biomarker systems are needed. Current studies frequently focus on individual regulators such as FDX1, LIAS, DLAT, and other cuproptosis-related genes, but these markers alone may not fully reflect functional cuproptosis sensitivity. Future studies should integrate copper metabolism, mitochondrial respiration, protein lipoylation, metabolic state, and tumor microenvironmental features to establish more reliable stratification models.

Second, more clinically relevant experimental systems are required. Patient-derived organoids, patient-derived xenograft models, spatial multi-omics, single-cell sequencing, and longitudinal clinical specimens may help clarify whether cuproptosis-related signatures are truly associated with tumor aggressiveness, treatment response, recurrence, or survival. These models will also be important for distinguishing robust tumor-specific findings from preliminary or context-dependent observations.

Third, the interaction between cuproptosis and the TME should be further clarified. Hypoxia, immune suppression, stromal remodeling, angiogenesis, copper availability, and metabolic competition may all affect the induction and therapeutic consequences of cuproptosis in vivo. Understanding these interactions will be essential for designing rational combination strategies with chemotherapy, immunotherapy, radiotherapy, metabolic therapy, or nanomedicine-based delivery platforms.

Finally, future translational studies should place greater emphasis on safety, selectivity, and patient stratification. Because copper is an essential trace element and mitochondrial metabolism is also required by normal tissues, indiscriminate copper modulation may cause systemic toxicity or off-target mitochondrial injury. Therefore, the next stage of research should move from broad copper manipulation toward biomarker-guided, tumor-selective, and mechanism-based therapeutic strategies. If these challenges can be addressed, cuproptosis may become a valuable component of precision oncology for selected gastrointestinal tumor subtypes.

References
1.  Zhang K, Zhang T, Yang Y, Tu W, Huang H, Wang Y, Chen Y, Pan K, Chen Z. N(6)-methyladenosine-mediated LDHA induction potentiates chemoresistance of colorectal cancer cells through metabolic reprogramming. Theranostics. 2022;12:4802-4817.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 101]  [Cited by in RCA: 96]  [Article Influence: 24.0]  [Reference Citation Analysis (4)]
2.  Hussain MS, Jakhmola V, Goyal K, Rekha A, Sultana A, Ali H, Gupta G. Targeting the NAD+/SIRT1 axis: A metabolic strategy to overcome oxaliplatin resistance in colorectal cancer. World J Gastroenterol. 2025;31:106530.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 4]  [Reference Citation Analysis (0)]
3.  Niu YR, Xiang MD, Yang WW, Fang YT, Qian HL, Sun YK. NAD+/SIRT1 pathway regulates glycolysis to promote oxaliplatin resistance in colorectal cancer. World J Gastroenterol. 2025;31:100785.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 7]  [Reference Citation Analysis (5)]
4.  Dong S, Zhang M, Cheng Z, Zhang X, Liang W, Li S, Li L, Xu Q, Song S, Liu Z, Yang G, Zhao X, Tao Z, Liang S, Wang K, Zhang G, Hu S. Redistribution of defective mitochondria-mediated dihydroorotate dehydrogenase imparts 5-fluorouracil resistance in colorectal cancer. Redox Biol. 2024;73:103207.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 25]  [Reference Citation Analysis (0)]
5.  Huang Y, Chan S, Chen S, Liu X, Li M, Zheng L, Dong Z, Yang Z, Liu Z, Zhou D, Zhang X, Zhang B. Wnt/β-catenin signalling activates IMPDH2-mediated purine metabolism to facilitate oxaliplatin resistance by inhibiting caspase-dependent apoptosis in colorectal cancer. J Transl Med. 2024;22:133.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 23]  [Reference Citation Analysis (0)]
6.  Chen Z, Xu J, Fang K, Jiang H, Leng Z, Wu H, Zhang Z, Wang Z, Li Z, Sun M, Zhao Z, Feng A, Zhang S, Chu Y, Ye L, Xu M, He L, Chen T. FOXC1-mediated serine metabolism reprogramming enhances colorectal cancer growth and 5-FU resistance under serine restriction. Cell Commun Signal. 2025;23:13.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 13]  [Reference Citation Analysis (0)]
7.  Duan G, Qi M, Xun L, An Y, Zuo Z, Luo Y, Song Z. Metformin Enhances the Chemosensitivity of Gastric Cancer to Cisplatin by Downregulating Nrf2 Level. Anal Cell Pathol (Amst). 2025;2025:5714423.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
8.  Cai L, Cao Y, Zhang J, Xi K, Li A, Zhang H. Inhibiting Arginine Metabolism via ALDH2/ARG2 Axis Blockade Potentiates Immune Checkpoint Inhibitors in Colorectal Cancer. Mol Cancer Ther. 2025;24:1977-1988.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 1]  [Reference Citation Analysis (4)]
9.  Zhang X, Ye X, Jin H. Oxidized Low-Density Lipoprotein as a Potential Target for Enhancing Immune Checkpoint Inhibitor Therapy in Microsatellite-Stable Colorectal Cancer. Antioxidants (Basel). 2025;14:726.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 8]  [Reference Citation Analysis (0)]
10.  Ding N, Jiang M, Jia G, Li J, Liu N, Zhang G, Wu S, Long M, Zhang Y. Multi-omics integration deciphers immune-metabolic heterogeneity in CRC: A prognostic model and therapeutic strategies targeting ANGPTL4/FABP4/RBP7. Comput Biol Med. 2025;111271.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
11.  Zhang J, Dong Y, Yu S, Hu K, Zhang L, Xiong M, Liu M, Sun X, Li S, Yuan Y, Zhang C, Zhu M, Wei Y, Zhu Y, Yu Y, Zhang P, Liu T. IL-4/IL-4R axis signaling drives resistance to immunotherapy by inducing the upregulation of Fcγ receptor IIB in M2 macrophages. Cell Death Dis. 2024;15:500.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 26]  [Reference Citation Analysis (0)]
12.  Lin R, Zhang H, Yuan Y, He Q, Zhou J, Li S, Sun Y, Li DY, Qiu HB, Wang W, Zhuang Z, Chen B, Huang Y, Liu C, Wang Y, Cai S, Ke Z, He W. Fatty Acid Oxidation Controls CD8(+) Tissue-Resident Memory T-cell Survival in Gastric Adenocarcinoma. Cancer Immunol Res. 2020;8:479-492.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 41]  [Cited by in RCA: 185]  [Article Influence: 30.8]  [Reference Citation Analysis (3)]
13.  Liu T, Sun S, Huang Y, E Y, Li W, Xu F, Liu Z, Luo X, Lu C, Yu C. The integration of single-cell and metabolomics reveals the increase of oxidative phosphorylation during the liver metastasis of colorectal cancer. Cancer Metab. 2025;13:41.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 4]  [Reference Citation Analysis (0)]
14.  Han Y, Ouyang Y, Pu Y, Zhou P, Yang L, Deng W, Song Q, Ji Q. Jianpi Jiedu formula modulates glutamine metabolism to inhibit colorectal cancer liver metastasis. Phytomedicine. 2026;150:157680.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
15.  Gao Y, Zhang X, Xia S, Chen Q, Tong Q, Yu S, An R, Cheng C, Zou W, Liang L, Xie X, Song Z, Liu R, Zhang J. Spatial multi-omics reveals the potential involvement of SPP1(+) fibroblasts in determining metabolic heterogeneity and promoting metastatic growth of colorectal cancer liver metastasis. Mol Ther. 2025;33:3680-3700.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 1]  [Cited by in RCA: 9]  [Article Influence: 9.0]  [Reference Citation Analysis (0)]
16.  Xu S, Peng X, Wang Z, Le C, Wu X, Zeng Z, Zeng S, Zhang C, Qiu M, Zou X, Zhang H, Wang F, Kang W, Ding Y, Liang L. FABP7-mediated lipid-laden macrophages drive the formation of pre-metastatic niche and liver metastasis. Int J Biol Sci. 2025;21:4388-4409.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 6]  [Reference Citation Analysis (0)]
17.  Li SS, Zhang B, Huang C, Fu Y, Zhao Y, Gong L, Tan Y, Wang H, Chen W, Luo J, Zhang Y, Ma S, Fu L, Liu C, Huang J, Ju HQ, Lee AW, Guan XY. FAO-fueled OXPHOS and NRF2-mediated stress resilience in MICs drive lymph node metastasis. Proc Natl Acad Sci U S A. 2025;122:e2411241122.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 5]  [Cited by in RCA: 10]  [Article Influence: 10.0]  [Reference Citation Analysis (0)]
18.  Xiao J, Cao S, Wang J, Li P, Cheng Q, Zhou X, Dong J, Li Y, Zhao X, Xu Z, Yang L. Leptin-mediated suppression of lipoprotein lipase cleavage enhances lipid uptake and facilitates lymph node metastasis in gastric cancer. Cancer Commun (Lond). 2024;44:855-878.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 19]  [Reference Citation Analysis (0)]
19.  Liu Y, Tang L, Peng B, Zhao S, Shao Z, Sun K, Ye J, Chen W, Xu J. Gastric cancer adapts high lipid microenvironment via suppressing PPARG-FABP1 axis after arriving in the lymph node. Redox Biol. 2025;85:103759.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 4]  [Cited by in RCA: 4]  [Article Influence: 4.0]  [Reference Citation Analysis (0)]
20.  Yan L, Chen M, Cai L, Liu A, Li F, Zhang Y, Peng X, Wang Y, Li R, Mei J, Zou D, Gao X, Wang Y, Wu L, Zhang Y. De-ubiquitinase USP35 promotes peritoneal dissemination of gastric cancer by regulating metabolic reprogramming. Cell Death Dis. 2025;16:889.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
21.  Zhang Q, Luo H, Xun J, Ma Y, Yang L, Zhang L, Wang X, Yu X, Wang B. Targeting PYCR2 inhibits intraperitoneal metastatic tumors of mouse colorectal cancer in a proline-independent approach. Cancer Sci. 2023;114:908-920.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 11]  [Cited by in RCA: 14]  [Article Influence: 4.7]  [Reference Citation Analysis (0)]
22.  Zhou JM, Dai WX, Wang RJ, Xu WQ, Xiang Z, Wang YX, Zhang T, Zhao YM, Wang L, Mao AR. Organoid modeling identifies USP3-AS1 as a novel promoter in colorectal cancer liver metastasis through increasing glucose-driven histone lactylation. Acta Pharmacol Sin. 2025;46:1404-1418.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 7]  [Cited by in RCA: 8]  [Article Influence: 8.0]  [Reference Citation Analysis (0)]
23.  Brignola C, Pecoraro A, Danisi C, Iaccarino N, Di Porzio A, Romano F, Carotenuto P, Russo G, Russo A. uL3 Regulates Redox Metabolism and Ferroptosis Sensitivity of p53-Deleted Colorectal Cancer Cells. Antioxidants (Basel). 2024;13:757.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 6]  [Reference Citation Analysis (0)]
24.  Boaru DL, Leon-Oliva D, Castro-Martinez P, Garcia-Montero C, Fraile-Martinez O, García-González B, Pérez-González I, Michael Alhaddadin MN, Barrena-Blázquez S, Lopez-Gonzalez L, la Torre B, Guijarro LG, Pekarek L, Saez MA, Ríos-Espinosa L, Garrido-Gil MJ, Gimeno-Longas MJ, Pekarek T, Diaz-Pedrero R, Alvarez-Mon M, Ortega MA. Cuproptosis: Current insights into its multifaceted role in disease, cancer, and translational/therapeutic opportunities. Biomed Pharmacother. 2025;190:118422.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 12]  [Reference Citation Analysis (3)]
25.  Lu K, Wijaya CS, Yao Q, Jin H, Feng L. Cuproplasia and cuproptosis, two sides of the coin. Cancer Commun (Lond). 2025;45:505-524.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 2]  [Cited by in RCA: 28]  [Article Influence: 28.0]  [Reference Citation Analysis (0)]
26.  Wang X, Zhou M, Liu Y, Si Z. Cope with copper: From copper linked mechanisms to copper-based clinical cancer therapies. Cancer Lett. 2023;561:216157.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 100]  [Reference Citation Analysis (0)]
27.  Tang X, Yan Z, Miao Y, Ha W, Li Z, Yang L, Mi D. Copper in cancer: from limiting nutrient to therapeutic target. Front Oncol. 2023;13:1209156.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 53]  [Cited by in RCA: 70]  [Article Influence: 23.3]  [Reference Citation Analysis (4)]
28.  Kamiya T. Copper in the tumor microenvironment and tumor metastasis. J Clin Biochem Nutr. 2022;71:22-28.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 51]  [Reference Citation Analysis (0)]
29.  Ma Y, Liu L, Duan J, Wang X. Copper transporter 1 contributes to the progression of cholangiocarcinoma. Biochim Biophys Acta Gen Subj. 2026;1870:130876.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
30.  Su Y, Zhang X, Li S, Xie W, Guo J. Emerging Roles of the Copper-CTR1 Axis in Tumorigenesis. Mol Cancer Res. 2022;20:1339-1353.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 32]  [Reference Citation Analysis (0)]
31.  Pham VVH, Jue TR, Bell JL, Luciani F, Michniewicz F, Cirillo G, Vahdat L, Mayoh C, Vittorio O. A novel network-based method identifies a cuproplasia-related pan-cancer gene signature to predict patient outcome. Hum Genet. 2024;143:1145-1162.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
32.  Suwara J, Hartman ML. Balancing between cuproplasia and copper-dependent cell death: molecular basis and clinical implications of ATOX1 in cancer. J Exp Clin Cancer Res. 2025;44:222.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 8]  [Cited by in RCA: 11]  [Article Influence: 11.0]  [Reference Citation Analysis (0)]
33.  Xie J, Shao Z, Li C, Zeng C, Xu B. Cuproptosis-related gene ATOX1 promotes MAPK signaling and diffuse large B-cell lymphoma proliferation via modulating copper transport. Biomol Biomed. 2024;25:16-28.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 3]  [Cited by in RCA: 11]  [Article Influence: 5.5]  [Reference Citation Analysis (0)]
34.  Kuchur OA, Pogodaeva SS, Shcherbakova AV, Tsymbal SA. Atox1-cyclin D1 loop activity is critical for survival of tumor cells with inactivated TP53. Biosci Rep. 2024;44:BSR20240389.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 5]  [Reference Citation Analysis (0)]
35.  Tralongo P, Ballato M, Fiorentino V, Giordano WG, Zuccalà V, Pizzimenti C, Bakacs A, Ieni A, Tuccari G, Fadda G, Larocca LM, Martini M. Cuproptosis: A Review on Mechanisms, Role in Solid and Hematological Tumors, and Association with Viral Infections. Mediterr J Hematol Infect Dis. 2025;17:e2025052.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 3]  [Reference Citation Analysis (0)]
36.  Meena R, Sahoo SS, Sunil A, Manna D. Cuproptosis: A Copper-Mediated Programmed Cell Death. Chem Asian J. 2025;20:e202400934.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 2]  [Cited by in RCA: 18]  [Article Influence: 18.0]  [Reference Citation Analysis (0)]
37.  Li C, Xiao Y, Cao H, Chen Y, Li S, Yin F. Cuproptosis Regulates Microenvironment and Affects Prognosis in Prostate Cancer. Biol Trace Elem Res. 2024;202:99-110.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 3]  [Cited by in RCA: 10]  [Article Influence: 5.0]  [Reference Citation Analysis (0)]
38.  Cheng B, Tang C, Xie J, Zhou Q, Luo T, Wang Q, Huang H. Cuproptosis illustrates tumor micro-environment features and predicts prostate cancer therapeutic sensitivity and prognosis. Life Sci. 2023;325:121659.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 42]  [Reference Citation Analysis (0)]
39.  Zhu C, Liu Z, Liu H, Qin L, Zhao X. Hepatocyte cuproptosis promotes the progression of hepatic fibrosis: Emerging a potential therapeutic target. Int Immunopharmacol. 2026;170:116092.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
40.  Liu MM, Zhao LX, Gong ZQ, He YJ, Jiang X, Luo W, Yu X, Wang ZY. Engineered RAP-anchored copper-escorting liposomes for FDX1-targeted cuproptosis in glioblastoma therapy‌. Theranostics. 2025;15:7802-7819.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 12]  [Reference Citation Analysis (0)]
41.  Gao Y, Han R, Guo Z, Zhuang Z, Fu J, Hou Y, Yu J, Tang K. Multi-pathway copper metabolisms regulation based on an engineered copper/ferrous nanoplatform for enhanced tumor cuproptosis therapy. Colloids Surf B Biointerfaces. 2025;252:114682.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 4]  [Reference Citation Analysis (0)]
42.  Pan C, Ji Z, Wang Q, Zhang Z, Wang Z, Li C, Lu S, Ge P. Cuproptosis: Mechanisms, biological significance, and advances in disease treatment-A systematic review. CNS Neurosci Ther. 2024;30:e70039.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 14]  [Cited by in RCA: 39]  [Article Influence: 19.5]  [Reference Citation Analysis (0)]
43.  Cong Y, Li N, Zhang Z, Shang Y, Zhao H. Cuproptosis: molecular mechanisms, cancer prognosis, and therapeutic applications. J Transl Med. 2025;23:104.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 7]  [Cited by in RCA: 44]  [Article Influence: 44.0]  [Reference Citation Analysis (0)]
44.  Dreishpoon MB, Bick NR, Petrova B, Warui DM, Cameron A, Booker SJ, Kanarek N, Golub TR, Tsvetkov P. FDX1 regulates cellular protein lipoylation through direct binding to LIAS. J Biol Chem. 2023;299:105046.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 155]  [Cited by in RCA: 154]  [Article Influence: 51.3]  [Reference Citation Analysis (1)]
45.  Abraham Gnanadass S, Pandey S, Viswanathan P. Decoding cuproptosis and cuproplasia: implications for therapeutic strategies in renal cell carcinoma. Cell Death Discov. 2025;11:501.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 2]  [Cited by in RCA: 4]  [Article Influence: 4.0]  [Reference Citation Analysis (0)]
46.  Song XH, Ding YH, Chen JS. Tumor glucose reprogramming suppresses cuproptosis: A review. Biomol Biomed. 2025;26:251-261.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 11]  [Reference Citation Analysis (0)]
47.  Yang Z, Su W, Wei X, Pan Y, Xing M, Niu L, Feng B, Kong W, Ren X, Huang F, Zhou J, Zhao W, Qiu Y, Liao T, Chen Q, Qu S, Wang Y, Guan Q, Li D, Zen K, Chen Y, Qin C, Wang Y, Zhou X, Xiang J, Yao B. Hypoxia inducible factor-1α drives cancer resistance to cuproptosis. Cancer Cell. 2025;43:937-954.e9.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 4]  [Cited by in RCA: 109]  [Article Influence: 109.0]  [Reference Citation Analysis (0)]
48.  Lu Y, Li Y, Sun X, Li X, Zhao S, Fang Y, Qiu W, Luo C, Qi W. Mitochondrial uncoupling sensitizes gastric cancer cells to elesclomol-induced cuproptosis via FDX1/DLAT upregulation. Free Radic Biol Med. 2026;244:284-295.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 4]  [Reference Citation Analysis (0)]
49.  Liu X, Sikong Y, Sun Y, Li J, Li R, Yang Z. An Activatable Dual-Engine Metabolic Inhibition Switch: Sequential Blockade of Glycolysis and Mitochondrial Respiration Potentiates Photodynamic Therapy via Tumor Reoxygenation. ACS Appl Mater Interfaces. 2025;17:66407-66418.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 3]  [Reference Citation Analysis (0)]
50.  Kim K, Lee J, Park OK, Lee H, Jang T, Kim J, Lee B, Kim JH, Moon J, Back S, Lee N, Choi SH, Hyeon T. Enhanced Cuproptosis via Metabolic Reprogramming Using Copper-Delivering Co-N-C Single-Atom Nanozyme. ACS Nano. 2025;19:21969-21982.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 8]  [Cited by in RCA: 7]  [Article Influence: 7.0]  [Reference Citation Analysis (0)]
51.  Zhang W, Chen Z, Xiong C, Yuan L, Hu JJ, Dai J, Xia F, Lou X. A Peptide-Copper Self-Assembled Nanoparticle for Enhanced Cuproptosis by Metabolic Reprogramming in Tumor Cells. ACS Nano. 2024;18:34244-34256.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 1]  [Cited by in RCA: 28]  [Article Influence: 14.0]  [Reference Citation Analysis (0)]
52.  Jiang Z, Dai J, Jiang J, Deng S, Gu J, Wang J, Chen M, Cai W, Wu K, Tao K, Liu K, Cai K. Engineering Inorganic Nanoparticles to Induce Cuproptosis: A New Strategy for Cancer Therapy. Pharmaceutics. 2025;17:1383.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
53.  Wang Q, Li F, Tiwari AK, Babu RJ. An up-To-Date Review of Elesclomol and Its Nano-Formulations in Cancer Therapy. Cancer Rep (Hoboken). 2025;8:e70193.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 6]  [Reference Citation Analysis (0)]
54.  Zeng M, Wu B, Wei W, Jiang Z, Li P, Quan Y, Hu X. Disulfiram: A novel repurposed drug for cancer therapy. Chin Med J (Engl). 2024;137:1389-1398.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 1]  [Cited by in RCA: 48]  [Article Influence: 24.0]  [Reference Citation Analysis (0)]
55.  Xiao C, Li J, Wang X, Li S, Xu C, Zhang Z, Hua A, Ding ZY, Zhang BX, Yang X, Li Z. Hydroxyethyl starch stabilized copper-diethyldithiocarbamate nanocrystals for cancer therapy. J Control Release. 2023;356:288-305.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 18]  [Cited by in RCA: 23]  [Article Influence: 7.7]  [Reference Citation Analysis (0)]
56.  Cai J, Shi S, Hu J, Zhang Z, Geng B, Pan D, Shen L. A stimuli-responsive cuproptosis switch boosts persistent immunotherapy for tumor eradication. Biomaterials. 2026;329:123930.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 3]  [Reference Citation Analysis (0)]
57.  Luo J, Xu X, Chen Y, Huang Y, Huang Y, Zhang Y, Ma L, Chen T. YTHDC2 inhibits the resistance of lung cancer to EGFR-TKI through cuproptosis. Oncogene. 2026;45:431-445.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
58.  Shi H, Xie Z, Zhang J, Lu F, Luo H, Guo P, Jiang M, Weng Z, Luo X, Chen B, Huang H, Teng T. Cu-doped dendritic biodegradable nanoplatforms for augmenting cuproptosis and tumor-starvation therapy through mitochondrial metabolic cascade modulation. Mater Today Bio. 2025;35:102477.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 5]  [Reference Citation Analysis (0)]
59.  Hong Q, Huang J, Li Z, Chen Y, Wang J, Shang T, Chen Z, Luo C, Wang Y, Tang X, Fan T, Huang S, Fu H, Yao Y. Efficient on-demand cuproptosis induction against triple-negative breast cancer via dual-responsive black phosphorus nanosheet. Mater Today Bio. 2025;33:101985.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 3]  [Reference Citation Analysis (0)]
60.  Wang P, Guo W, Liu S, Li S, Li J, Ding B, Yin F, Yang Y, Li X, Cao P, Ma C, Zhang W, Song Y, Geng Y, Liu L, Hu J, Hao J, Feng Y. Novel Pt@PCN-Cu-induced cuproptosis amplifies αPD-L1 immunotherapy in pancreatic ductal adenocarcinoma through mitochondrial HK2-mediated PD-L1 upregulation. J Exp Clin Cancer Res. 2025;44:149.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 13]  [Reference Citation Analysis (0)]
61.  Zhu C, Li J, Sun W, Li D, Wang Y, Shen XC. Signaling Mechanism of Cuproptosis Activating cGAS-STING Immune Pathway. JACS Au. 2024;4:3988-3999.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 39]  [Reference Citation Analysis (0)]
62.  Li J, Zhang G, Sun Z, Jiang M, Jia G, Liu H, Liu N, Shi L, Zhang L, Nie L, Zhang Y, Fu Y. Immunogenic cuproptosis in cancer immunotherapy via an in situ cuproptosis-inducing system. Biomaterials. 2025;319:123201.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 29]  [Reference Citation Analysis (0)]
63.  Zou Y, Xie Y, Ou M, Lin Q, Li Y, Wu L, Wang W, Chen Y, Jiang X, Chen S, Chen S, Zhao C. Homing Effect Directed Cuprous Delivery Activates Cuproptosis Against Nasopharyngeal Carcinoma and Metastasis. Small. 2026;22:e11219.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
64.  Balsa LM, Santa Maria de la Parra L, Espindola-Moreno O, León IE. Advances in copper complexes in cancer treatment. Drug Discov Today. 2025;30:104522.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 5]  [Reference Citation Analysis (0)]
65.  Xie Q, Sun T, Zhang L, Gong M, Zhang W, Liu X, Zhao Y, Wang M, Yang X, Zhang Z, Liu G, Zhou C, Zhang D. Responsive plasmonic hybrid nanorods enables metabolism reprogramming via cuproptosis-photothermal combined cancer therapy. Biomaterials. 2025;315:122971.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 17]  [Reference Citation Analysis (0)]
66.  Shi Z, Mao Z, Cui M, Xu D, Wang Y, Jing R. ATP7A as a prognostic biomarker and potential therapeutic target in gastric cancer. Am J Transl Res. 2025;17:512-527.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
67.  Li Z, Li S, Wen Y, Chen J, Liu K, Jia J. MiR-495 Inhibits Cisplatin Resistance and Angiogenesis in Esophageal Cancer by Targeting ATP7A. Technol Cancer Res Treat. 2021;20:15330338211039127.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 2]  [Cited by in RCA: 22]  [Article Influence: 4.4]  [Reference Citation Analysis (0)]
68.  Zhang G, Wang N, Ma S, Tao P, Cai H. Comprehensive analysis of the effects of the cuprotosis-associated gene SLC31A1 on patient prognosis and tumor microenvironment in human cancer. Transl Cancer Res. 2024;13:714-737.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 2]  [Cited by in RCA: 10]  [Article Influence: 5.0]  [Reference Citation Analysis (0)]
69.  Huang C, Wang M, Wang J, Wu D, Gao Y, Huang K, Yao X. Suppression MGP inhibits tumor proliferation and reverses oxaliplatin resistance in colorectal cancer. Biochem Pharmacol. 2021;189:114390.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 11]  [Cited by in RCA: 16]  [Article Influence: 3.2]  [Reference Citation Analysis (0)]
70.  Zhou Y, Zhang Q, Wang M, Huang C, Yao X. Effective Delivery of siRNA-Loaded Nanoparticles for Overcoming Oxaliplatin Resistance in Colorectal Cancer. Front Oncol. 2022;12:827891.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 1]  [Cited by in RCA: 5]  [Article Influence: 1.3]  [Reference Citation Analysis (0)]
71.  Fujita K, Motoyama S, Sato Y, Wakita A, Nagaki Y, Minamiya Y, Miura M. Association between ABCC2 polymorphism and hematological toxicity in patients with esophageal cancer receiving platinum plus 5-fluorouracil therapy. Esophagus. 2022;19:146-152.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 1]  [Cited by in RCA: 3]  [Article Influence: 0.8]  [Reference Citation Analysis (0)]
72.  Fujita K, Motoyama S, Sato Y, Wakita A, Nagaki Y, Minamiya Y, Miura M. Effects of SLC31A1 and ATP7B polymorphisms on platinum resistance in patients with esophageal squamous cell carcinoma receiving neoadjuvant chemoradiotherapy. Med Oncol. 2021;38:6.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 4]  [Cited by in RCA: 12]  [Article Influence: 2.4]  [Reference Citation Analysis (0)]
73.  O'Connell E, Reynolds IS, Salvucci M, McNamara DA, Burke JP, Prehn JHM. Mucinous and non-mucinous colorectal cancers show differential expression of chemotherapy metabolism and resistance genes. Pharmacogenomics J. 2021;21:510-519.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 3]  [Cited by in RCA: 12]  [Article Influence: 2.4]  [Reference Citation Analysis (2)]
74.  Reynolds IS, O'Connell E, Fichtner M, McNamara DA, Kay EW, Prehn JHM, Furney SJ, Burke JP. Mucinous adenocarcinoma is a pharmacogenomically distinct subtype of colorectal cancer. Pharmacogenomics J. 2020;20:524-532.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 31]  [Cited by in RCA: 32]  [Article Influence: 5.3]  [Reference Citation Analysis (0)]
75.  Huo R, Li W, Wu H, He K, Wang H, Zhang S, Jiang SH, Li R, Xue J. Transcription factor ONECUT3 regulates HDAC6/HIF-1α activity to promote the Warburg effect and tumor growth in colorectal cancer. Cell Death Dis. 2025;16:149.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 9]  [Reference Citation Analysis (0)]
76.  Long WB, Pu X, Tang Y, Li M, Liu Y, She Q, Wang YL, Guo QX. Arginine ADP-ribosyltransferase 1 Regulates Glycolysis in Colorectal Cancer via the PI3K/AKT/HIF1α Pathway. Curr Med Sci. 2022;42:733-741.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 16]  [Cited by in RCA: 20]  [Article Influence: 5.0]  [Reference Citation Analysis (0)]
77.  Song T, Zhang X, Ren J, Hu Z, Wang X, Niu G. SELENBP1 Inhibits the Warburg Effect and Tumor Growth by Reducing the HIF1α Expression in Colorectal Cancer. Curr Cancer Drug Targets. 2025;25:1134-1144.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 1]  [Cited by in RCA: 1]  [Article Influence: 1.0]  [Reference Citation Analysis (0)]
78.  Yu Z, Li R, Xu Q, Liang C, Gao J, Yuan Z, Zhao R, Liang W, Cao B, Zhao X, Wei B, Li P. The regulatory and synergistic effects of FBP2 and HKDC1 on glucose metabolism and malignant progression in gastric cancer. Cell Death Dis. 2025;16:730.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
79.  Tsai HY, Chen MH, Yun J, Lai LA, Valentine JF, Bronner MP, Brentnall TA, Pan S, Chen R. Restricting metabolic plasticity enhances stress adaptation through the modulation of PDH and HIF1A in TRAP1-depleted colon cancer. Cancer Lett. 2025;632:217977.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 1]  [Cited by in RCA: 4]  [Article Influence: 4.0]  [Reference Citation Analysis (0)]
80.  Bruno G, Pietrafesa M, Crispo F, Piscazzi A, Maddalena F, Giordano G, Conteduca V, Garofoli M, Porras A, Esposito F, Landriscina M. TRAP1 modulates mitochondrial biogenesis via PGC-1α/TFAM signalling pathway in colorectal cancer cells. J Mol Med (Berl). 2024;102:1285-1296.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 14]  [Reference Citation Analysis (0)]
81.  Kendzia S, Franke S, Kröhler T, Golob-Schwarzl N, Schweiger C, Toeglhofer AM, Skofler C, Uranitsch S, El-Heliebi A, Fuchs J, Punschart A, Stiegler P, Keil M, Hoffmann J, Henderson D, Lehrach H, Yaspo ML, Reinhard C, Schäfer R, Keilholz U, Regenbrecht C, Schicho R, Fickert P, Lax SF, Erdmann F, Schulz MH, Kiemer AK, Haybaeck J, Kessler SM. A combined computational and functional approach identifies IGF2BP2 as a driver of chemoresistance in a wide array of pre-clinical models of colorectal cancer. Mol Cancer. 2023;22:89.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 16]  [Reference Citation Analysis (0)]
82.  Liu S, Zhao H, Hu Y, Yan C, Mi Y, Li X, Tao D, Qin J. Lactate promotes metastasis of normoxic colorectal cancer stem cells through PGC-1α-mediated oxidative phosphorylation. Cell Death Dis. 2022;13:651.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 1]  [Cited by in RCA: 56]  [Article Influence: 14.0]  [Reference Citation Analysis (0)]
83.  Kurasaka C, Nishizawa N, Uozumi H, Ogino Y, Sato A. Relationship between anticancer sensitivities and cellular respiration properties in 5-fluorouracil-resistant HCT116 human colorectal cancer cells. FEBS Open Bio. 2023;13:1125-1133.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 5]  [Reference Citation Analysis (0)]
84.  Papaccio F, García-Mico B, Gimeno-Valiente F, Cabeza-Segura M, Gambardella V, Gutiérrez-Bravo MF, Alfaro-Cervelló C, Martinez-Ciarpaglini C, Rentero-Garrido P, Zúñiga-Trejos S, Carbonell-Asins JA, Fleitas T, Roselló S, Huerta M, Sánchez Del Pino MM, Sabater L, Roda D, Tarazona N, Cervantes A, Castillo J. “Proteotranscriptomic analysis of advanced colorectal cancer patient derived organoids for drug sensitivity prediction”. J Exp Clin Cancer Res. 2023;42:8.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 63]  [Reference Citation Analysis (0)]
85.  Yan C, Liu S, Song Q, Hu Y. [Metformin inhibits self-renewal of colorectal cancer stem cells by inhibiting mitochondrial oxidative phosphorylation]. Nan Fang Yi Ke Da Xue Xue Bao. 2023;43:1279-1286.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
86.  Abukwaik R, Vera-Siguenza E, Tennant D, Spill F. p53 Orchestrates Cancer Metabolism: Unveiling Strategies to Reverse the Warburg Effect. Bull Math Biol. 2024;86:124.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 9]  [Reference Citation Analysis (1)]
87.  Chong W, Ren H, Chen H, Xu K, Zhu X, Liu Y, Sang Y, Li H, Liu J, Ye C, Shang L, Jing C, Li L. Clinical features and molecular landscape of cuproptosis signature-related molecular subtype in gastric cancer. Imeta. 2024;3:e190.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 26]  [Reference Citation Analysis (0)]
88.  Ding D, Wang D, Qin Y. A cuproptosis-related gene signature and associated regulatory axis in stomach adenocarcinoma based on bioinformatics analysis. Medicine (Baltimore). 2023;102:e34230.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 6]  [Reference Citation Analysis (0)]
89.  Zhao Q, Qi T. The implications and prospect of cuproptosis-related genes and copper transporters in cancer progression. Front Oncol. 2023;13:1117164.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 42]  [Reference Citation Analysis (1)]
90.  Zhou J, Wang C, Zhi Y, Li J. The potential role of cuproptosis-related genes for therapy and immunoregulation in pan-cancer. PLoS One. 2025;20:e0324389.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 3]  [Reference Citation Analysis (0)]
91.  Ge X, Wang K, Zhao T, Wang J, Liu J, Sun Z, Chai Z, Zhang W, Li C, Xu Y, Chen G. Clinical significance and immune microenvironment association of cuproptosis-related genes in pan-cancer. Exp Physiol. 2026;111:539-555.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
92.  Lu Y, Wu Y, Yang C, Zhou Y, Ren X, Li H, Huang H, Pan F, Deng A, Lu Y, Yang J, Tong X, Li Y, Du J. Ferredoxins: master regulators in mitochondrial redox homeostasis and programmed cell death. Redox Biol. 2025;88:103930.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 1]  [Cited by in RCA: 7]  [Article Influence: 7.0]  [Reference Citation Analysis (0)]
93.  Wu A, Tu K, Xia G. The emerging role of ferredoxin 1 in cancer: Insights into cuproptosis and therapeutic innovation. Int J Biol Macromol. 2025;330:147996.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 4]  [Reference Citation Analysis (0)]
94.  Dharavath A, Kaur S, Mohan PVD, Guru SK. Harnessing cuproptosis: a new avenue for targeted cancer therapies. Apoptosis. 2025;30:2654-2675.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 1]  [Cited by in RCA: 3]  [Article Influence: 3.0]  [Reference Citation Analysis (0)]
95.  Ma L, Zheng H, Xie W, Sun W, Yuan Q, Song K, Xi P, Qu F, Zhang H. Dual-functional copper nanoplatform potentiates cuproptosis through p53 reactivation and metabolic reprogramming. J Colloid Interface Sci. 2026;706:139625.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
96.  Liu X, Qu H, Li J, Sun X, Wang Z, Wang D, Bai X, Li X. p53 enhances elesclomol-Cu-induced cuproptosis in hepatocellular carcinoma via FDXR-mediated FDX1 upregulation. Front Oncol. 2025;15:1584811.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 8]  [Reference Citation Analysis (0)]
97.  Huang XX, Xie CK, Mo YC, Li W, Wu YD, Li ZY, Zhang HX, Li G, Jin L, Lin XQ, Hu JF, Chen YH, Lin HY, Zhu SC, Lu JP, Zhu HJ, Wang WW, Huang Y, Wang ZW, Huang L, Wang DF, Tian YF, Liao CY, Chen S. Targeting SERPINB3-MAPK axis-mediated cuproptosis resistance enhances the response to antitumor immunotherapy. Mol Cancer. 2025;25:47.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 1]  [Cited by in RCA: 5]  [Article Influence: 5.0]  [Reference Citation Analysis (0)]
98.  Jia G, Li J, Jiang M, Liu N, Ding N, Jiang X, Zhang G, Tan X, Kang Y, Zhang L, Wang F, Zhang Y. Unraveling the miR-144-3p/PUMA pathway: a novel regulator of FDX1-mediated cuproptosis in colorectal cancer. Cell Oncol (Dordr). 2025;48:1693-1710.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 5]  [Cited by in RCA: 5]  [Article Influence: 5.0]  [Reference Citation Analysis (0)]
99.  Jiang D, Zhuang L, Koong AC, Gan B. Cuproptosis in cancer: from molecular mechanisms to therapeutic intervention. Trends Cancer. 2026;12:275-286.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 1]  [Cited by in RCA: 7]  [Article Influence: 7.0]  [Reference Citation Analysis (0)]
100.  Hu J, Jiang X. When essential metal elements become culprits-Cuproptosis in focus. Cancer Cell. 2025;43:1181-1185.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 7]  [Reference Citation Analysis (0)]
101.  Lutsenko S, Roy S, Tsvetkov P. Mammalian copper homeostasis: physiological roles and molecular mechanisms. Physiol Rev. 2025;105:441-491.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 134]  [Cited by in RCA: 114]  [Article Influence: 114.0]  [Reference Citation Analysis (0)]
102.  Zhang C, Huang T, Li L. Targeting cuproptosis for cancer therapy: mechanistic insights and clinical perspectives. J Hematol Oncol. 2024;17:68.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 99]  [Reference Citation Analysis (0)]
103.  Wu J, He J, Liu Z, Zhu X, Li Z, Chen A, Lu J. Cuproptosis: Mechanism, role, and advances in urological malignancies. Med Res Rev. 2024;44:1662-1682.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 8]  [Cited by in RCA: 23]  [Article Influence: 11.5]  [Reference Citation Analysis (0)]
104.  Qi H, Zhu D. Oncogenic role of copperinduced cell deathassociated protein DLD in human cancer: A pancancer analysis and experimental verification. Oncol Lett. 2023;25:214.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 20]  [Reference Citation Analysis (0)]
105.  Chen X, Huang L, Liu R, Nan D, Li Y, Chen W, Shi L, Wang Y, Liang X, Tang J, Zhang H, Lu Y. Cuproptosis as a regulator in human diseases: From basic mechanisms to clinical relevance. Int Immunopharmacol. 2026;168:115788.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 2]  [Reference Citation Analysis (3)]
106.  Luan MH, Zhu WS, Feng ZT, Jing FB, Xing YX, Ma XL, Wang YS, Ning B, Jia YF. MTF1 attenuates ferroptosis and cuproptosis synergistic potentiation in gastric cancer. Cell Death Differ. 2026;33:1103-1119.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 4]  [Cited by in RCA: 5]  [Article Influence: 5.0]  [Reference Citation Analysis (0)]
107.  Shangguan F, Zhou H, Zhang H, Reddy T, Bryan MP, Cui R, Lin J, Chen Y, Zheng Y. Demethoxycurcumin induces metabolic crisis and ATF4/ATF3/CHOP-dependent cell death in hepatocellular carcinoma. Chem Biol Interact. 2025;418:111584.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 3]  [Reference Citation Analysis (0)]
108.  Jiang Q, Tong F, Xu Y, Liu C, Xu Q. Cuproptosis: a promising new target for breast cancer therapy. Cancer Cell Int. 2024;24:414.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 6]  [Reference Citation Analysis (0)]
109.  Wang M, Zheng L, Ma S, Lin R, Li J, Yang S. Cuproptosis: emerging biomarkers and potential therapeutics in cancers. Front Oncol. 2023;13:1288504.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 23]  [Reference Citation Analysis (0)]
110.  Zhang X, Han X. Targeting cuproptosis for cancer therapy: Focus on the anti-tumor immune system. Cancer Pathog Ther. 2025;3:226-243.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 6]  [Reference Citation Analysis (0)]
111.  Zhou C, Yang J, Liu T, Jia R, Yang L, Sun P, Zhao W. Copper metabolism and hepatocellular carcinoma: current insights. Front Oncol. 2023;13:1186659.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 26]  [Reference Citation Analysis (0)]
112.  Zhang D, Zhao Y, Guo D. Application and potential of the tumor microenvironment, ferroptosis, cuproptosis, and disulfidptosis in cancer treatment and monitoring. Crit Rev Oncol Hematol. 2026;218:105066.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 1]  [Cited by in RCA: 3]  [Article Influence: 3.0]  [Reference Citation Analysis (0)]
113.  Yang Y, Dong C, Ma X, Wang Y, Li Z, Xu Y, Chen T, Gao C, Ye X, Wu A, Zhang X. Advances in cuproptosis harnessing copper-based nanomaterials for cancer therapy. J Mater Chem B. 2025;13:2978-2999.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 2]  [Cited by in RCA: 14]  [Article Influence: 14.0]  [Reference Citation Analysis (0)]
114.  Liu G, Tang R, Wang C, Yu D, Wang Z, Yang H, Wei J, Zhu S, Gao F, Yuan F, Pan B. Bimetallic nanoconjugate hijack Fe-S clusters to drive a closed-loop cuproptosis-ferroptosis strategy for osteosarcoma inhibition. J Colloid Interface Sci. 2026;703:139052.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 6]  [Cited by in RCA: 6]  [Article Influence: 6.0]  [Reference Citation Analysis (0)]
115.  Liu M, Zheng J, Yu M, Wang Q, Yuan Y, Shao N, Yang X, Shen T, Wang L, Li A, Liu R, Cao J, Liu X, Cao F, Feng Y. Stimuli-Responsive CuFeTe(2) Nanosheets for Amplified Cuproptosis/Ferroptosis in Triple-Negative Breast Cancer Therapy. Adv Sci (Weinh). 2026;13:e05739.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 3]  [Reference Citation Analysis (0)]
116.  Jiang Y, Zhang W, Liu L, Wu Y, Li W, Liang J, Shen H, Fang S, Huang X, Chu Z, Xu L, Qian H. Gelatin Methacryloyl Xerogel Puncture Implants Loaded with Cu(0.5)Mn(2.5)O(4) Nanoparticles Synergizes Cuproptosis and STING Activation for Enhanced Breast Cancer Immunotherapy. ACS Nano. 2025;19:27902-27918.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 12]  [Reference Citation Analysis (0)]
117.  Zafar H, Zhang J, Raza F, Pan X, Hu Z, Feng H, Shen Q. Biomimetic gold nanocages incorporating copper-human serum albumin for tumor immunotherapy via cuproptosis-lactate regulation. J Control Release. 2024;372:446-466.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 45]  [Cited by in RCA: 37]  [Article Influence: 18.5]  [Reference Citation Analysis (0)]
118.  Yi X, Xie H, Huang K, Luo J, Li W, Zeng Q, He F, Shi W, Wang D, Wang L. Tumor-targeting nanomaterials based on metal-organic frameworks mediate tumor immunotherapy by promoting cuproptosis and pyroptosis in hepatocellular carcinoma cells. Mater Today Bio. 2025;32:101745.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 12]  [Reference Citation Analysis (0)]
119.  Huang XY, Shen JY, Huang K, Wang L, Sethi G, Ma Z. Cuproptosis in cancers: Function and implications from bench to bedside. Biomed Pharmacother. 2024;176:116874.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 17]  [Reference Citation Analysis (0)]
120.  Hughes RE, Elliott RJR, Li X, Munro AF, Makda A, Carter RN, Morton NM, Fujihara K, Clemons NJ, Fitzgerald R, O'Neill JR, Hupp T, Carragher NO. Multiparametric High-Content Cell Painting Identifies Copper Ionophores as Selective Modulators of Esophageal Cancer Phenotypes. ACS Chem Biol. 2022;17:1876-1889.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 13]  [Cited by in RCA: 15]  [Article Influence: 3.8]  [Reference Citation Analysis (0)]
121.  Feng A, He L, Li Z, Wang Z, Sun M, Zhao Z, Zhang Z, Fang K, Wu H, Wang X, Zhang S, Chen Z, Zhang L, Chen T, Xu M. TRIM21 promotes K63-linked ubiquitination of ALKBH5 and suppresses cuproptosis via down-regulation of LIAS in esophageal squamous cell carcinoma. Commun Biol. 2025;8:1783.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 2]  [Cited by in RCA: 3]  [Article Influence: 3.0]  [Reference Citation Analysis (0)]
122.  Li L, Cheng H, Gong L, Huang Y, Yang J, Yan Q, Dai S, Wang J. Cuproptosis/OXPHOS tendency prediction of prognosis and immune microenvironment of esophageal squamous cell carcinoma: Bioinformatics analysis and experimental validation. Gene. 2024;902:148156.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 8]  [Cited by in RCA: 9]  [Article Influence: 4.5]  [Reference Citation Analysis (0)]
123.  Liu Y, Li C, Cui X, Liu C, Xiao P, Yang W. Kynureninase induce cuproptosis resistance in gastric cancer progression through downregulating lipotic acid synthetase mediated non-canonical mechanism. Cell Signal. 2025;127:111565.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 1]  [Cited by in RCA: 5]  [Article Influence: 5.0]  [Reference Citation Analysis (0)]
124.  Gao W, Huang Z, Duan J, Nice EC, Lin J, Huang C. Elesclomol induces copper-dependent ferroptosis in colorectal cancer cells via degradation of ATP7A. Mol Oncol. 2021;15:3527-3544.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 289]  [Cited by in RCA: 269]  [Article Influence: 53.8]  [Reference Citation Analysis (6)]
125.  Wan Z, Gao S. SNHG26 Promotes Colorectal Cancer Progression via CDKN2A-Dependent Regulation of Cuproptosis and CD8+ T Cell-Mediated Immunity. J Cell Mol Med. 2025;29:e70913.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
126.  Zhou L, Zhang Y, Xu Y, Jiang T, Tang L. Identification of a novel prognostic signature composed of 3 cuproptosis-related transcription factors in colon adenocarcinoma. Genes Genomics. 2023;45:1047-1061.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 1]  [Cited by in RCA: 2]  [Article Influence: 0.7]  [Reference Citation Analysis (0)]
127.  Li J, Ma S, Lin Q, Wang Q, Zhong W, Wei C, Liu J, Chen J, Wang D, Tang W, Luo T. Orchestrated copper-loaded nanoreactor for simultaneous induction of cuproptosis and immunotherapeutic intervention in colorectal cancer. Mater Today Bio. 2024;29:101326.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 17]  [Reference Citation Analysis (0)]
128.  Zhang J, Pu K, Bai S, Peng Y, Li F, Ji R, Guo Q, Sun W, Wang Y. The anti-alcohol dependency drug disulfiram inhibits the viability and progression of gastric cancer cells by regulating the Wnt and NF-κB pathways. J Int Med Res. 2020;48:300060520925996.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 10]  [Cited by in RCA: 20]  [Article Influence: 3.3]  [Reference Citation Analysis (1)]
129.  Hu Y, Qian Y, Wei J, Jin T, Kong X, Cao H, Ding K. The Disulfiram/Copper Complex Induces Autophagic Cell Death in Colorectal Cancer by Targeting ULK1. Front Pharmacol. 2021;12:752825.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 5]  [Cited by in RCA: 50]  [Article Influence: 10.0]  [Reference Citation Analysis (0)]
130.  Huang X, Hou Y, Weng X, Pang W, Hou L, Liang Y, Wang Y, Du L, Wu T, Yao M, Wang J, Meng X. Diethyldithiocarbamate-copper complex (CuET) inhibits colorectal cancer progression via miR-16-5p and 15b-5p/ALDH1A3/PKM2 axis-mediated aerobic glycolysis pathway. Oncogenesis. 2021;10:4.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 35]  [Cited by in RCA: 53]  [Article Influence: 10.6]  [Reference Citation Analysis (1)]
131.  Dumut DC, Hajduch M, Zacharias AM, Duan Q, Frydrych I, Rozankova Z, Popper M, Garic D, Paun RA, Centorame A, Shah J, Mistrik M, Dzubak P, De Sanctis JB, Radzioch D. Diethyldithiocarbamate-copper complex ignites the tumor microenvironment through NKG2D-NKG2DL axis. Front Immunol. 2025;16:1491450.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
132.  Hendrych M, Říhová K, Adamová B, Hradil V, Stiborek M, Vlček P, Hermanová M, Vašíčková J, Beneš P, Šmarda J, Kanický V, Preisler J, Navrátilová J. Disulfiram increases the efficacy of 5-fluorouracil in organotypic cultures of colorectal carcinoma. Biomed Pharmacother. 2022;153:113465.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 14]  [Reference Citation Analysis (0)]
133.  Huang J, Yang M, Zhou X, Luo J, Yan X, Lin G, Li S, Liu S, Song Z, Tang C, Xu N, Liu T, Liang J. DDTC-Cu(I) Nano-MOF Induces Ferroptosis by Targeting SLC7A11/GPX4 Signal in Colorectal Cancer. ACS Biomater Sci Eng. 2025;11:4468-4480.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
134.  Yan X, Liu H, Guo L, Liu C, Zhang S, Wang X, Tang Y, Zhou R, Jiang X, Wang E, Gao S, Xu C. Multifunctional drug delivery nanoparticles for combined chemotherapy/chemodynamic/photothermal therapy against colorectal cancer through synergistic cuproptosis/ferroptosis/apoptosis. Mater Today Bio. 2025;30:101427.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 17]  [Reference Citation Analysis (0)]
135.  El Fawal G, Abu-Serie MM, El-Gendi H, El-Fakharany EM. Fabrication, characterization and in vitro evaluation of disulfiram-loaded cellulose acetate/poly(ethylene oxide) nanofiber scaffold for breast and colon cancer cell lines treatment. Int J Biol Macromol. 2022;204:555-564.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 24]  [Cited by in RCA: 24]  [Article Influence: 6.0]  [Reference Citation Analysis (0)]
136.  Jiapaer Z, Zhang L, Ma W, Liu H, Li C, Huang W, Shao S. Disulfiram-loaded hollow copper sulfide nanoparticles show anti-tumor effects in preclinical models of colorectal cancer. Biochem Biophys Res Commun. 2022;635:291-298.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 12]  [Reference Citation Analysis (0)]
137.  Xue Q, Kang R, Klionsky DJ, Tang D, Liu J, Chen X. Copper metabolism in cell death and autophagy. Autophagy. 2023;19:2175-2195.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 32]  [Cited by in RCA: 527]  [Article Influence: 175.7]  [Reference Citation Analysis (10)]
138.  Tao X, Wang H, Wang Q, Wang C, Shao CW, Jin Y, Yu D, Hu H, Zhang Q, Xu M, Geng X, Xu H, Li L, Shen R, Guo YW, Li XW, Liu S, Zhang W. Marine Natural Product Chagosendine C Induces Cuproptosis in Colorectal Cancer Cells by Targeting FDX1. J Am Chem Soc. 2025;147:37089-37103.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 9]  [Reference Citation Analysis (0)]
139.  Ren J, Su T, Ding J, Chen F, Mo J, Li J, Wang Z, Han L, Wu Z, Wu S. Chlorophyllin exerts synergistic anti-tumor effect with gemcitabine in pancreatic cancer by inducing cuproptosis. Mol Med. 2025;31:126.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 11]  [Reference Citation Analysis (0)]
140.  Yang W, Wang Y, Huang Y, Yu J, Wang T, Li C, Yang L, Zhang P, Shi L, Yin Y, Tao K, Li R. 4-Octyl itaconate inhibits aerobic glycolysis by targeting GAPDH to promote cuproptosis in colorectal cancer. Biomed Pharmacother. 2023;159:114301.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 146]  [Reference Citation Analysis (1)]
141.  Yang L, Pi P, Zhang M, Jiang Y, Wu T, Qing L, Wang H, Ma M, Zhang Z, Yang H, Tian Q, Lu X, Huang G, Zhao J, Liang B. Copper ionophore complex ES-Cu synergizes with quercetin to target FDX1, promote cuproptosis, and reverse lenvatinib resistance in hepatocellular carcinoma cells. J Adv Res. 2025;S2090-1232(25)00681.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 6]  [Cited by in RCA: 8]  [Article Influence: 8.0]  [Reference Citation Analysis (0)]
142.  Wang W, Lu K, Jiang X, Wei Q, Zhu L, Wang X, Jin H, Feng L. Ferroptosis inducers enhanced cuproptosis induced by copper ionophores in primary liver cancer. J Exp Clin Cancer Res. 2023;42:142.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 234]  [Reference Citation Analysis (2)]
143.  Lin J, Yin Y, Cao J, Zhang Y, Chen J, Chen R, Zou B, Huang C, Lv Y, Xu S, Yang H, Lin P, Xie D. NUDT21 lactylation reprograms alternative polyadenylation to promote cuproptosis resistance. Cell Discov. 2025;11:52.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 23]  [Reference Citation Analysis (0)]
144.  Qin L, Lv Z, Luo B, Yu J, Li M, Jing R, Li J. Hypoxia-induced autophagy attenuates ferredoxin 1-mediated cuproptosis in colorectal cancer cells. Hum Exp Toxicol. 2025;44:9603271251335393.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 3]  [Reference Citation Analysis (0)]
145.  Ma J, Zhang Y, Sun Z, Guo H, Li X, Cai J, Zhang M, Chen M, Jiang J, Zhang L. LncRNA PVT1 promotes cuproptosis through transcriptional activation of FDX1 in colorectal cancer. Redox Biol. 2025;85:103722.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 10]  [Cited by in RCA: 16]  [Article Influence: 16.0]  [Reference Citation Analysis (0)]
146.  Liu X, Lin Y, Zhang J. VIPR1 induces cuproptosis and inhibits the HIF-1α pathway in colon cancer. J Biochem Mol Toxicol. 2025;39:e70472.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 1]  [Cited by in RCA: 2]  [Article Influence: 2.0]  [Reference Citation Analysis (0)]
147.  Zhang Y, Gu Y, Zhan M, Yang L, Wang H. Targeting ferroptosis and cuproptosis in gastrointestinal cancers: molecular mechanisms, metabolic vulnerabilities, and therapeutic interventions. Mol Biomed. 2025;6:101.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 8]  [Cited by in RCA: 6]  [Article Influence: 6.0]  [Reference Citation Analysis (0)]
148.  Doctor A, Schädlich J, Hauser S, Pietzsch J. Investigation of the Putative Relationship Between Copper Transport and the Anticancer Activity of Cisplatin in Ductal Pancreatic Adenocarcinoma. Cells. 2025;14:1489.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
149.  Li Y, Liu J, Chen Y, Weichselbaum RR, Lin W. Nanoparticles Synergize Ferroptosis and Cuproptosis to Potentiate Cancer Immunotherapy. Adv Sci (Weinh). 2024;11:e2310309.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 96]  [Cited by in RCA: 87]  [Article Influence: 43.5]  [Reference Citation Analysis (4)]
150.  Huang S, Xie P, Huang X, Chen Z, Yang J, Wang J, Liu C, Li H, Zhou B. Disulfiram combined with chemoimmunotherapy potentiates pancreatic cancer treatment efficacy through the activation of cGAS-STING signaling pathway via suppressing PARP1 expression. Am J Cancer Res. 2023;13:2055-2065.  [PubMed]  [DOI]
151.  Cui PP, Yang QC, Sun ZJ. Targeting cuproptosis with nanomaterials for cancer immunotherapy. Acta Biomater. 2026;209:38-63.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 1]  [Cited by in RCA: 6]  [Article Influence: 6.0]  [Reference Citation Analysis (0)]
152.  Hu J, Li Y, Lian B, Mao Y, Zhao L. Mechanism and role of regulated cell death in tumor immunity and immunotherapy. Cancer Commun (Lond). 2025;45:1456-1495.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 20]  [Reference Citation Analysis (0)]
153.  Yuan M, Shi L, Liu Y, Xiang K, Zhang Y, Zhou Y, Wang J, Ji M, Hou P. Disulfiram/copper triggers cGAS-STING innate immunity pathway via ROS-induced DNA damage that potentiates antitumor response to PD-1 checkpoint blockade. Int J Biol Sci. 2025;21:1730-1748.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 16]  [Reference Citation Analysis (0)]
154.  Liu X, Zhang W, Wei S, Liang X, Luo B. Targeting cuproptosis with nano material: new way to enhancing the efficacy of immunotherapy in colorectal cancer. Front Pharmacol. 2024;15:1451067.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 8]  [Reference Citation Analysis (0)]
155.  Tang Y, Ge L, Zhu D, Hu R, Chen W, Zhen X, Jiang X. A Tumor Microenvironment-Responsive Self-Oxygenating Nanoplatform for Dual-Enhanced Cuproptosis and Sonodynamic Synergistic Immunotherapy. ACS Nano. 2025;19:39228-39240.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 7]  [Reference Citation Analysis (0)]
156.  Xiao W, Qu K, Zhang W, Lai L, He L, Cheng F, Wang L. High Immunogenic Cuproptosis Evoked by In Situ Sulfidation-Activated Pyroptosis for Tumor-Targeted Immunotherapy of Colorectal Cancer. Small Sci. 2024;4:2300164.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 13]  [Cited by in RCA: 23]  [Article Influence: 11.5]  [Reference Citation Analysis (0)]
157.  Bai G, Liu H, Li W, Chen S, Wang L, Wang Z, Zhou Y, Pan Y, Liu Y, Chen Q, Zhang N, Wei J, Fu X, Zhou Y, Zhu Y, Xu L, Wang L. Mitochondria-targeting polymer cLipG/CuET activates the cGAS/STING pathway to enhance cholangiocarcinoma immunotherapy. J Nanobiotechnology. 2025;23:631.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 3]  [Reference Citation Analysis (0)]
158.  Yang LJ, Pan MM, Hu H, Liu F, Jiang M, Ning S, Chen X, Zhang Z, Yu X, Xu L. Bioinspired Dual-Ionic-Site Single-Atom Nanozymes for Synergistic Ferroptosis/Cuproptosis and Enhanced Immune Checkpoint Blockade Therapy. Small. 2025;21:e2501076.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 12]  [Reference Citation Analysis (0)]
159.  Zhao G, Guo F, Yan W, Qu Y, Yan C, Lv H, Li G, Zhao J, Xie H, Li Y, Tian T, Zhao Z. A thermosensitive hydrogel with synergistic stromal targeting and antitumor immunity modulation for pancreatic cancer immunotherapy. Mater Today Bio. 2025;32:101882.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 3]  [Cited by in RCA: 5]  [Article Influence: 5.0]  [Reference Citation Analysis (0)]
160.  Gao S, Ge H, Gao L, Gao Y, Tang S, Li Y, Yuan Z, Chen W. Silk Fibroin Nanoparticles for Enhanced Cuproptosis and Immunotherapy in Pancreatic Cancer Treatment. Adv Sci (Weinh). 2025;12:e2417676.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 23]  [Reference Citation Analysis (0)]
161.  Zhu Q, Chen B, Zhang F, Zhang B, Guo Y, Pang M, Huang L, Wang T. Toxic and essential metals: metabolic interactions with the gut microbiota and health implications. Front Nutr. 2024;11:1448388.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 60]  [Cited by in RCA: 51]  [Article Influence: 25.5]  [Reference Citation Analysis (0)]
162.  Pajarillo EAB, Lee E, Kang DK. Trace metals and animal health: Interplay of the gut microbiota with iron, manganese, zinc, and copper. Anim Nutr. 2021;7:750-761.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 87]  [Cited by in RCA: 131]  [Article Influence: 26.2]  [Reference Citation Analysis (0)]
163.  Guo L, Miao Y, Tan J, Sun H, Jiang S, Wei H, Peng J. Host genetics predominates over gut microbiota in serum copper levels in boars. J Anim Sci. 2025;103:skaf155.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
164.  Gao Y, Yu T, Ai F, Ji C, Wu Y, Huang X, Zheng X, Yan F. Bacillus coagulans XY2 ameliorates copper-induced toxicity by bioadsorption, gut microbiota and lipid metabolism regulation. J Hazard Mater. 2023;445:130585.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 2]  [Cited by in RCA: 16]  [Article Influence: 5.3]  [Reference Citation Analysis (0)]
165.  Wen Y, Yang L, Wang Z, Liu X, Gao M, Zhang Y, Wang J, He P. Blocked conversion of Lactobacillus johnsonii derived acetate to butyrate mediates copper-induced epithelial barrier damage in a pig model. Microbiome. 2023;11:218.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 53]  [Reference Citation Analysis (0)]
166.  Xu B, Zhang L, Wu D, Qi Z, Cao J, Li W, Fan L, Shi Y, Wu Y, Li G. CuO nanoparticles elicit intestinal immunotoxicity in zebrafish based on intestinal microbiota dysbiosis. Food Funct. 2024;15:7619-7630.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 6]  [Reference Citation Analysis (0)]
167.  Peng X, Wei Y, Gong D, Zhang G. Modulatory Role of Hesperetin-Copper(II) on Gut Microbiota in Type 2 Diabetes Mellitus Mice. Foods. 2025;14:2390.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 4]  [Reference Citation Analysis (0)]
168.  Jiang M, Tao X, Pang Y, Qin Z, Song E, Song Y. Copper oxide nanoparticles induce non-alcoholic fatty liver disease by disrupting bile acid homeostasis and perturbing the intestinal microbial homeostasis. J Hazard Mater. 2024;480:136416.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 2]  [Cited by in RCA: 14]  [Article Influence: 7.0]  [Reference Citation Analysis (0)]
169.  Sarode GV, Mazi TA, Neier K, Shibata NM, Jospin G, Harder NHO, Caceres A, Heffern MC, Sharma AK, More SK, Dave M, Schroeder SM, Wang L, LaSalle JM, Lutsenko S, Medici V. The role of intestine in metabolic dysregulation in murine Wilson disease. Hepatol Commun. 2023;7:e0247.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 8]  [Cited by in RCA: 8]  [Article Influence: 2.7]  [Reference Citation Analysis (0)]
170.  Dai J, Yang X, Yuan Y, Jia Y, Liu G, Lin N, Xiao H, Zhang L, Chen J. Toxicity, gut microbiota and metabolome effects after copper exposure during early life in SD rats. Toxicology. 2020;433-434:152395.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 17]  [Cited by in RCA: 43]  [Article Influence: 7.2]  [Reference Citation Analysis (0)]
171.  Yang Y, Liang S, Geng H, Xiong M, Li M, Su Q, Jia F, Zhao Y, Wang K, Jiang J, Qin S, Li X. Proteomics revealed the crosstalk between copper stress and cuproptosis, and explored the feasibility of curcumin as anticancer copper ionophore. Free Radic Biol Med. 2022;193:638-647.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 34]  [Cited by in RCA: 58]  [Article Influence: 14.5]  [Reference Citation Analysis (1)]
172.  Li X, Yang L, Hao M, Song T, He Y, Yang M, Zhang J. Chlorogenic acid as an indispensible partner of caffeic acid in coffee via selective regulation of prooxidative actions of caffeic acid. Food Res Int. 2023;173:113482.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 6]  [Reference Citation Analysis (0)]
173.  Jiang Y, He S, Xiang N, Duan L, Lin Y, Huang W, Wu Z, Qi X. A copper missile-triggered power coalescence and death vortex within tumor cell mitochondria for synergistic cuproptosis/phototherapy/chemotherapy. Nanoscale. 2024;16:15967-15983.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 9]  [Reference Citation Analysis (0)]
174.  Wang X, Wong KH, Yin Y, Wang Z, Chen M. Copper-doped PDA nanoparticles with self-enhanced ROS generation for boosting photothermal/chemodynamic combination therapy. Biomater Sci. 2025;13:3903-3914.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 6]  [Cited by in RCA: 7]  [Article Influence: 7.0]  [Reference Citation Analysis (0)]
175.  Lawson MK. Copper-quercetin complexes: methods of study, relevance to cell death pathways, therapeutic applications. Biomed Pharmacother. 2025;187:118055.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 5]  [Reference Citation Analysis (0)]
176.  Simunkova M, Barbierikova Z, Jomova K, Hudecova L, Lauro P, Alwasel SH, Alhazza I, Rhodes CJ, Valko M. Antioxidant vs. Prooxidant Properties of the Flavonoid, Kaempferol, in the Presence of Cu(II) Ions: A ROS-Scavenging Activity, Fenton Reaction and DNA Damage Study. Int J Mol Sci. 2021;22:1619.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 25]  [Cited by in RCA: 100]  [Article Influence: 20.0]  [Reference Citation Analysis (0)]
177.  Jomova K, Hudecova L, Lauro P, Simunková M, Barbierikova Z, Malcek M, Alwasel SH, Alhazza IM, Rhodes CJ, Valko M. The effect of Luteolin on DNA damage mediated by a copper catalyzed Fenton reaction. J Inorg Biochem. 2022;226:111635.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 5]  [Cited by in RCA: 31]  [Article Influence: 6.2]  [Reference Citation Analysis (0)]
178.  Sivalingam AM. Green synthesis of copper oxide nanoparticles from Calotropis gigantea of antimicrobial, antidiabetic, and toxicity evaluation in zebrafish. Int Immunopharmacol. 2025;166:115581.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 4]  [Reference Citation Analysis (0)]
179.  Riazunnisa K, Narayana MSSV, Rajesh N, Kiranmayee M. Phytosynthesis of Copper Oxide Nanoparticles From Pithecellobium dulce: A Synergy of Experimental and In Silico Analysis for Biomedical Potential. Chem Biodivers. 2025;22:e00998.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 4]  [Reference Citation Analysis (0)]
180.  Batiha GE, Tene ST, Teibo JO, Shaheen HM, Oluwatoba OS, Teibo TKA, Al-Kuraishy HM, Al-Garbee AI, Alexiou A, Papadakis M. The phytochemical profiling, pharmacological activities, and safety of malva sylvestris: a review. Naunyn Schmiedebergs Arch Pharmacol. 2023;396:421-440.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 23]  [Cited by in RCA: 20]  [Article Influence: 6.7]  [Reference Citation Analysis (0)]
181.  ELhabal SF, Elwy HM, Hassanin S, El-Rashedy AA, Hamza AA, Khasawneh MA. Biosynthesis and Characterization of Gold and Copper Nanoparticles from Salvadora persica Fruit Extracts and Their Biological Properties. Int J Nanomedicine. 2022;17:6095-6112.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 24]  [Reference Citation Analysis (0)]
182.  Elsayed AM, Sherif NM, Hassan NS, Althobaiti F, Hanafy NAN, Sahyon HA. Novel quercetin encapsulated chitosan functionalized copper oxide nanoparticles as anti-breast cancer agent via regulating p53 in rat model. Int J Biol Macromol. 2021;185:134-152.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 11]  [Cited by in RCA: 52]  [Article Influence: 10.4]  [Reference Citation Analysis (0)]
183.  Guo D, Lin Q, Liu N, Jin Q, Liu C, Wang Y, Zhu X, Zong L. Copper-based metal-organic framework co-loaded doxorubicin and curcumin for anti-cancer with synergistic apoptosis and ferroptosis therapy. Int J Pharm. 2024;666:124744.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 12]  [Reference Citation Analysis (0)]
184.  Abdelaziz MA, Alalawy AI, Sobhi M, Alatawi OM, Alaysuy O, Alshehri MG, Mohamed EI, Abdelaziz MM, Algrfan IA, Mohareb RM. Elaboration of chitosan nanoparticles loaded with star anise extract as a therapeutic system for lung cancer: Physicochemical and biological evaluation. Int J Biol Macromol. 2024;279:135099.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 8]  [Reference Citation Analysis (0)]
185.  Ji A, Yang P, Ma B, Li J, Yu Y, Zhang X, Chen P, Yao H, Shi L, Hu H, Gao S, Cheng H. Photothermal-responsive curcumin-loaded copper-based nanocomposites for targeted drug release and combined immunotherapy. J Colloid Interface Sci. 2025;698:138042.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 8]  [Reference Citation Analysis (0)]
186.  Zhao M, Li J, Li Z, Yang D, Wang D, Sun Z, Wen P, Gou F, Dai Y, Ji Y, Li W, Zhao D, Yang L. SIRT1 Regulates Mitochondrial Damage in N2a Cells Treated with the Prion Protein Fragment 106-126 via PGC-1α-TFAM-Mediated Mitochondrial Biogenesis. Int J Mol Sci. 2024;25:9707.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 11]  [Reference Citation Analysis (0)]
187.  Wang LF, Li WJ, Zhang XY, Zhang YC, Chen GF, Zhou XY, Xv DM, Wu Q. Resveratrol prevents age-related heart impairment through inhibiting the Notch/NF-κB pathway. Food Sci Nutr. 2024;12:1035-1045.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 2]  [Cited by in RCA: 6]  [Article Influence: 3.0]  [Reference Citation Analysis (0)]
188.  Hu X, Huang S, Ye S, Jiang J. The Natural Product Oridonin as an Anticancer Agent: Current Achievements and Problems. Curr Pharm Biotechnol. 2024;25:655-664.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 1]  [Cited by in RCA: 7]  [Article Influence: 3.5]  [Reference Citation Analysis (0)]
189.  Kajewole D, Wong HN, von Kriegsheim A, Haynes RK, de la Mare JA, Edkins AL. The novel amino-artemisinin derivative WHN-11 disrupts mitochondria and protein homeostasis, and induces autophagy and apoptosis in cancer cells. Sci Rep. 2025;15:21604.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
190.  Zhao HY, Li KH, Wang DD, Zhang ZL, Xu ZJ, Qi MH, Huang SW. A mitochondria-targeting dihydroartemisinin derivative as a reactive oxygen species -based immunogenic cell death inducer. iScience. 2024;27:108702.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 7]  [Reference Citation Analysis (0)]
191.  Lew CY, Tang YT, Lee AY, Chin ZJ, Chang WL, Chen CH, Chye SM. Shikonin as a Dietary Phytochemical with Multi-Target Anti-Cancer Activities: From Molecular Mechanisms to Translational Applications. Nutrients. 2025;17:3085.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 3]  [Reference Citation Analysis (0)]
192.  Rajendran P, Renu K, Ali EM, Genena MAM, Veeraraghavan V, Sekar R, Sekar AK, Tejavat S, Barik P, Abdallah BM. Promising and challenging phytochemicals targeting LC3 mediated autophagy signaling in cancer therapy. Immun Inflamm Dis. 2024;12:e70041.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 15]  [Cited by in RCA: 13]  [Article Influence: 6.5]  [Reference Citation Analysis (1)]
193.  Chen P, Zhong X, Song Y, Zhong W, Wang S, Wang J, Huang P, Niu Y, Yang W, Ding Z, Luo Q, Yang C, Wang J, Zhang W. Triptolide induces apoptosis and cytoprotective autophagy by ROS accumulation via directly targeting peroxiredoxin 2 in gastric cancer cells. Cancer Lett. 2024;587:216622.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 28]  [Cited by in RCA: 45]  [Article Influence: 22.5]  [Reference Citation Analysis (0)]
194.  Lu N, Li Q, Duan L, Xu R, Li Y, Shi F, Zhou Z, Gan Y, Hu B, Li J, He X, Ouyang D, Zha Q. Andrographolide prevents necroptosis by suppressing the generation of reactive oxygen species. Acta Biochim Biophys Sin (Shanghai). 2025;57:2048-2061.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 2]  [Cited by in RCA: 4]  [Article Influence: 4.0]  [Reference Citation Analysis (0)]
195.  Alhasawi MAI, Aatif M, Muteeb G, Alam MW, Oirdi ME, Farhan M. Curcumin and Its Derivatives Induce Apoptosis in Human Cancer Cells by Mobilizing and Redox Cycling Genomic Copper Ions. Molecules. 2022;27:7410.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 30]  [Reference Citation Analysis (1)]
196.  Dutra JL, Honorato J, Graminha A, Moraes CAF, de Oliveira KT, Cominetti MR, Castellano EE, Batista AA. Pd(II)/diphosphine/curcumin complexes as potential anticancer agents. Dalton Trans. 2024;53:18902-18916.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 7]  [Reference Citation Analysis (0)]
197.  Jhade SK, Kalidoss K, Pathak PK, Shrivastava R. Artemisinin's molecular symphony: illuminating pathways for cancer therapy. Mol Biol Rep. 2024;52:95.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 1]  [Cited by in RCA: 3]  [Article Influence: 1.5]  [Reference Citation Analysis (0)]
198.  Sarkar D, Monzote L, Gille L, Chatterjee M. Natural endoperoxides as promising anti-leishmanials. Phytomedicine. 2024;129:155640.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 4]  [Reference Citation Analysis (0)]
199.  Chu Y, Nie Q, Zhou X, Yang J, Fang J, Zhang J. Berberrubine as a novel TrxR inhibitor enhances cisplatin sensitivity in the treatment of non-small cell lung cancer. Bioorg Chem. 2025;158:108329.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 6]  [Cited by in RCA: 6]  [Article Influence: 6.0]  [Reference Citation Analysis (0)]
200.  Huang CH, Kang X, Zhou L, Wang J, Wu S, Sun P, Wang Q, Keeton AB, Chen P, Piazza GA. Novel Disulfiram-Loaded Metal-Organic Nanoparticles Inhibit Tumor Growth and Induce Immunogenic Cell Death of Triple-Negative Breast Cancer Cells. Pharmaceutics. 2025;17:1448.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
201.  Liu H, Kong Y, Liu Z, Guo X, Yang B, Yin T, He H, Gou J, Zhang Y, Tang X. Sphingomyelin-based PEGylation Cu (DDC)(2) liposomes prepared via the dual function of Cu(2+) for cancer therapy: Facilitating DDC loading and exerting synergistic antitumor effects. Int J Pharm. 2022;621:121788.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 19]  [Reference Citation Analysis (0)]
202.  Filipczak N, Rajmalani BA, Ataide JA, Yalamarty SSK, Luther E, Torchilin VP. Disulfiram-containing polymeric nanocapsules with anticancer activity for cancer treatment. Int J Pharm. 2025;669:125059.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
203.  Liang X, Li C, Yuan W, Ji M, Zhang J, Yan M, Lu Q, Gou J, Yin T, He H, Tang X, Zhang Y. Activate the endogenous Cu(2+) switch for Zn(DDC)(2) liposomes conversion: Providing a safer and less toxic alternative in cancer therapy. Int J Pharm. 2024;652:123800.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
204.  Li Q, Chao Y, Liu B, Xiao Z, Yang Z, Wu Y, Liu Z. Disulfiram loaded calcium phosphate nanoparticles for enhanced cancer immunotherapy. Biomaterials. 2022;291:121880.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 69]  [Reference Citation Analysis (0)]
205.  Zhang H, Song F, Dong C, Yu L, Chang C, Chen Y. Co-delivery of nanoparticle and molecular drug by hollow mesoporous organosilica for tumor-activated and photothermal-augmented chemotherapy of breast cancer. J Nanobiotechnology. 2021;19:290.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 34]  [Cited by in RCA: 27]  [Article Influence: 5.4]  [Reference Citation Analysis (0)]
206.  Wang Z, Zheng Q, Wang S, Guo J, Chen H, Li Z, Zhang X. Engineering Assembly of Metal-Phenolic Nanoparticles with High Biocompatibility for Tumor Therapy. ACS Appl Mater Interfaces. 2025;17:56846-56860.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 3]  [Reference Citation Analysis (0)]
207.  Liang J, Zhang W, Wang J, Li W, Ge F, Jin W, Tao Y. Development of the Cu/ZIF-8 MOF Acid-Sensitive Nanocatalytic Platform Capable of Chemo/Chemodynamic Therapy with Improved Anti-Tumor Efficacy. ACS Omega. 2023;8:19402-19412.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 16]  [Reference Citation Analysis (0)]
208.  Li M, Liu Z, Peng D, Liu Y, Cheng L, Chen B, Liu J. Multifunctional porous organic polymer-based hybrid nanoparticles for sonodynamically enhanced cuproptosis and synergistic tumor therapy. Acta Biomater. 2025;196:350-363.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 5]  [Reference Citation Analysis (0)]
209.  Tan T, Chang W, Wang TL, Chen W, Chen X, Yang C, Yang D. pH-Responsive Charge-Reversal Smart Nanoparticles for Co-Delivery of Mitoxantrone and Copper Ions to Enhance Breast Cancer Chemo-Chemodynamic Combination Therapy. Int J Nanomedicine. 2024;19:11445-11462.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 5]  [Reference Citation Analysis (0)]
210.  Ji M, Liu H, Wang H, Liang X, Wei M, Shi D, Gou J, Yin T, He H, Tang X, Zhang Y. pH-Activatable copper-axitinib coordinated multifunctional nanoparticles for synergistic chemo-chemodynamic therapy against aggressive cancers. Biomater Sci. 2023;11:6267-6279.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 12]  [Reference Citation Analysis (0)]
211.  Xiang Z, Liu J, Zhang Y, Shen R, Lu Y, Li R, Shi Q, Zhang G, Li S, Song J. Iron-doped Zif-8 nanoplatform for MRI-guided synergistic microwave thermal/chemodynamic therapy of triple-negative breast cancer. Int J Pharm X. 2025;10:100426.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
212.  Zhang WX, Li WY, Shu Y, Wang JH. Manganese-enriched prussian blue nanohybrids with smaller electrode potential and lower charge transfer resistance to enhance combination therapy. Colloids Surf B Biointerfaces. 2024;241:114045.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 4]  [Reference Citation Analysis (0)]
213.  Wu H, Li X, Liu S, Wang Q, Cao Y, Hao JN, Li Y. GSH-Responsive Organosilica Hybrid Nanosystem as a Cascade Promoter for Enhanced Starvation and Chemodynamic Therapy. Adv Healthc Mater. 2023;12:e2201262.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 1]  [Cited by in RCA: 22]  [Article Influence: 7.3]  [Reference Citation Analysis (0)]
214.  Wei P, Niu X, Wang D, Du C, Zhu M, Zheng H, Hu Y, Tian Y, Huang W, Ding C, Lin Y, Zhu Y, Kang D. A glutathione-responsive ferroptotic inducer with elevated labile iron pool and self-supplied peroxide for chemodynamic therapy. Mater Today Bio. 2025;32:101913.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 8]  [Reference Citation Analysis (0)]
215.  Ma Y, Su Z, Zhou L, He L, Hou Z, Zou J, Cai Y, Chang D, Xie J, Zhu C, Fan W, Chen X, Ju S. Biodegradable Metal-Organic-Framework-Gated Organosilica for Tumor-Microenvironment-Unlocked Glutathione-Depletion-Enhanced Synergistic Therapy. Adv Mater. 2022;34:e2107560.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 31]  [Cited by in RCA: 80]  [Article Influence: 20.0]  [Reference Citation Analysis (0)]
216.  Jia S, Ke S, Tu L, Chen S, Luo B, Xiong Y, Li Y, Wang P, Ye S. Glutathione/pH-responsive copper-based nanoplatform for amplified chemodynamic therapy through synergistic cycling regeneration of reactive oxygen species and dual glutathione depletion. J Colloid Interface Sci. 2023;652:329-340.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 14]  [Reference Citation Analysis (0)]
217.  Chen F, Zhang X, Wang Z, Xu C, Hu J, Liu L, Zhou J, Sun B. Dual-responsive and NIR-driven free radical nanoamplifier with glutathione depletion for enhanced tumor-specific photothermal/thermodynamic/chemodynamic synergistic Therapy. Biomater Sci. 2022;10:5912-5924.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 12]  [Reference Citation Analysis (0)]
218.  Yang G, Ren D, Yu T, Fang J. Biodegradable copper-doped calcium phosphate nanoplatform enables tumor microenvironment modulations for amplified ferroptosis in cervical carcinoma treatment. Int J Pharm X. 2025;9:100315.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 3]  [Reference Citation Analysis (0)]
219.  Zhang L, Fan Y, Yang Z, Yang M, Wong CY. NIR-II-driven and glutathione depletion-enhanced hypoxia-irrelevant free radical nanogenerator for combined cancer therapy. J Nanobiotechnology. 2021;19:265.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 7]  [Cited by in RCA: 32]  [Article Influence: 6.4]  [Reference Citation Analysis (0)]
220.  Zhang Y, Cao Y, Gao T, Kuang Y, An Z, Mao Z, He Y, Yan J, Lu Z, Pei R. Tumor Microenvironment-Responsive and Catalytic Cascade-Enhanced Nanocomposite for Tumor Thermal Ablation Synergizing with Chemodynamic and Chemotherapy. ACS Appl Bio Mater. 2020;3:3880-3893.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 10]  [Cited by in RCA: 16]  [Article Influence: 2.7]  [Reference Citation Analysis (0)]
221.  Li X, Liang N, Wang S, Liu Z, Sun S. A hyaluronic acid-modified copper iron sulfide nanoplatform loaded with paclitaxel for synergistic chemotherapy/chemodynamic/photothermal cancer therapy. Int J Biol Macromol. 2026;336:149385.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
222.  Li Z, Cheng L, Xu X, Jia R, Zhu S, Zhang Q, Cheng G, Wu B, Liu Z, Tong X, Xiao B, Dai F. Cuproptosis-based layer-by-layer silk fibroin nanoplatform-loaded PD-L1 siRNA combining photothermal and chemodynamic therapy against metastatic breast cancer. Mater Today Bio. 2024;29:101298.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 12]  [Reference Citation Analysis (0)]
223.  Yu J, Wang C, Zhao F, Xu Z, Zhang Y, Ying Y, Li W, Li J, Zheng J, Qiao L, Che S. Spatially targeted triple amplification of oxidative stress for enhanced tumor therapy via effective modulation of metal ion valence states. Acta Biomater. 2025;196:321-331.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 7]  [Reference Citation Analysis (0)]
224.  Liu Z, Ling J, Wang N, Ouyang XK. Redox homeostasis disruptors enhanced cuproptosis effect for synergistic photothermal/chemodynamic therapy. J Colloid Interface Sci. 2025;678:1060-1074.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 4]  [Cited by in RCA: 10]  [Article Influence: 10.0]  [Reference Citation Analysis (0)]
225.  Wang Y, Chu Z, Wang P, Li T, Jin Y, Wu S, Song X, Zhang W, Yang M, Zha Z, Qian H, Ma Y. Dual-ferroptosis induction-based microneedle patches for enhanced chemodynamic/photothermal combination therapy against triple-negative breast cancer. Acta Pharm Sin B. 2025;15:4210-4224.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 9]  [Cited by in RCA: 11]  [Article Influence: 11.0]  [Reference Citation Analysis (0)]
226.  Zhang L, Fan Y, Yang Z, Wong CY, Yang M. A novel reactive oxygen species nano-amplifier for tumor-targeted photoacoustic imaging and synergistic therapy. J Colloid Interface Sci. 2025;681:331-343.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 14]  [Reference Citation Analysis (0)]
227.  Qiao L, Ou Y, Li L, Wu S, Guo Y, Liu M, Yu D, Chen Q, Yuan J, Wei C, Ou C, Li H, Cheng D, Yu Z, Li Z. H(2)S-driven chemotherapy and mild photothermal therapy induced mitochondrial reprogramming to promote cuproptosis. J Nanobiotechnology. 2024;22:205.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 14]  [Reference Citation Analysis (0)]
228.  Tang C, Liu K, Gao X, Kang H, Xie W, Chang J, Yin L, Kang J. A metal-organic framework functionalized CaO(2)-based cascade nanoreactor induces synergistic cuproptosis/ferroptosis and Ca(2+) overload-mediated mitochondrial damage for enhanced sono-chemodynamic immunotherapy. Acta Biomater. 2025;193:455-473.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 20]  [Reference Citation Analysis (0)]
229.  Liu Q, Chen H, Hu X, Chen L, Li J, Zhang L. Hyaluronic acid-based multifunctional nanoplatform for glucose deprivation-enhanced chemodynamic/photothermal synergistic cancer therapy. Int J Biol Macromol. 2024;275:133428.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 3]  [Reference Citation Analysis (0)]
230.  Lu Y, Zhu X, Huo Y, Zhang H, Yang Z, Wang Z, Wu X, Jin Y. Glucose oxidase/coppercarbon dots/hyaluronic acid self-assembly for self-supply hydrogen peroxide in a double-enzyme cascade to enhance anti-tumor therapy. Int J Biol Macromol. 2025;310:143286.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 5]  [Reference Citation Analysis (0)]
231.  Xia J, Liu G, Wang C, Liu Z, Liu F, Li H, Xu Y, Sun S. One stone, three birds: Construction of Cu/ZIF-8@DSF@GOx/HA nanoplatform for synergistic starvation therapy enhanced chemo-/chemodynamic therapy. Nanomedicine. 2025;63:102799.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 4]  [Reference Citation Analysis (0)]
232.  Luo Y, Zhang L, Wang S, Wang Y, Hua J, Wen C, Zhao S, Liang H. H(2)O(2) Self-Supply and Glutathione Depletion Engineering Nanoassemblies for NIR-II Photoacoustic Imaging of Tumor Tissues and Photothermal-Enhanced Gas Starvation-Primed Chemodynamic Therapy. ACS Appl Mater Interfaces. 2023;15:38309-38322.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 17]  [Reference Citation Analysis (0)]
233.  Wang L, Cao Y, Guo W, Xu J. High expression of cuproptosis-related gene FDX1 in relation to good prognosis and immune cells infiltration in colon adenocarcinoma (COAD). J Cancer Res Clin Oncol. 2023;149:15-24.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 4]  [Cited by in RCA: 65]  [Article Influence: 21.7]  [Reference Citation Analysis (4)]
234.  Wang C, Guo J, Zhang Y, Zhou S, Jiang B. Cuproptosis-Related Gene FDX1 Suppresses the Growth and Progression of Colorectal Cancer by Retarding EMT Progress. Biochem Genet. 2025;63:775-788.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 6]  [Cited by in RCA: 20]  [Article Influence: 20.0]  [Reference Citation Analysis (0)]
235.  Peng Y, Shi R, Yang S, Zhu J. Cuproptosis-related gene DLAT is a biomarker of the prognosis and immune microenvironment of gastric cancer and affects the invasion and migration of cells. Cancer Med. 2024;13:e70012.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 2]  [Cited by in RCA: 12]  [Article Influence: 6.0]  [Reference Citation Analysis (0)]
236.  Yang Q, Zeng S, Liu W. Roles of cuproptosis-related gene DLAT in various cancers: a bioinformatic analysis and preliminary verification on pro-survival autophagy. PeerJ. 2023;11:e15019.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 29]  [Reference Citation Analysis (0)]
237.  Jiang PC, Fan J, Zhang CD, Bai MH, Sun QQ, Chen QP, Mao W, Tang BF, Lan HY, Zhou YY, Zhu J. Unraveling Colorectal Cancer and Pan-cancer Immune Heterogeneity and Synthetic Therapy Response Using Cuproptosis and Hypoxia Regulators by Multi-omic Analysis and Experimental Validation. Int J Biol Sci. 2023;19:3526-3543.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 12]  [Reference Citation Analysis (0)]
238.  Wang X, Li S, Shen Y, Cao L, Lu Y, Cao J, Liu Y, Deng A, Yang J, Wang T. Construction of molecular subtype and prognostic model for gastric cancer based on nucleus-encoded mitochondrial genes. Sci Rep. 2024;14:28491.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 5]  [Reference Citation Analysis (0)]
239.  Chen H, Jing C, Shang L, Zhu X, Zhang R, Liu Y, Wang M, Xu K, Ma T, Jing H, Wang Z, Li X, Chong W, Li L. Molecular characterization and clinical relevance of metabolic signature subtypes in gastric cancer. Cell Rep. 2024;43:114424.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 18]  [Cited by in RCA: 21]  [Article Influence: 10.5]  [Reference Citation Analysis (0)]
240.  Gu R, Li S, Yu B, Gu J, Guan B, Wu H. Increased CDKN2A expression correlates with resistance to platinum-based therapy and decreased infiltration of B lymphocytes in colon adenocarcinoma. Funct Integr Genomics. 2025;25:144.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 1]  [Cited by in RCA: 3]  [Article Influence: 3.0]  [Reference Citation Analysis (0)]
241.  Cheng X, Yang F, Li Y, Cao Y, Zhang M, Ji J, Bai Y, Li Q, Yu Q, Gao D. The crosstalk role of CDKN2A between tumor progression and cuproptosis resistance in colorectal cancer. Aging (Albany NY). 2024;16:10512-10538.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 23]  [Reference Citation Analysis (0)]
242.  Xiao PT, Li CF, Liu YD, Zhong J, Cui XL, Liu C, Yang W. B cell CLL/lymphoma 10 promotes colorectal cancer cell proliferation and regulates cuproptosis sensitivity through the NF-κB signaling pathway. World J Gastroenterol. 2025;31:109825.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
243.  Zhou Y, Dong C, Shen X, Wang P, Chen T, Li W, Sun X, Li P, Xu C, Duan K, Li D, Zhou J. Targeting PTBP3-Mediated Alternative Splicing of COX11 Induces Cuproptosis for Inhibiting Gastric Cancer Peritoneal Metastasis. Adv Sci (Weinh). 2025;12:e2415983.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 13]  [Reference Citation Analysis (0)]
244.  Huang T, Zhang Y, Wu Y, Han X, Li L, Guo Z, Li K, Xin Y, Wang W. CEBPB dampens the cuproptosis sensitivity of colorectal cancer cells by facilitating the PI3K/AKT/mTOR signaling pathway. Saudi J Gastroenterol. 2024;30:381-388.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 16]  [Reference Citation Analysis (0)]
245.  Duan XC, Zhou Y, Feng F, Jiang HB, Wang ML, Han Z, Pang HF, Liu YH, Jia HZ, He M, Xu HP, Wang YY. Decoding the hypoxic tumor microenvironment in colorectal cancer for prognostic modeling and therapeutic target discovery. Front Immunol. 2025;16:1651749.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
246.  Park SJ, Yoo HC, Ahn E, Luo E, Kim Y, Sung Y, Yu YC, Kim K, Min DS, Lee HS, Hwang GS, Ahn T, Choi J, Bang S, Han JM. Enhanced Glutaminolysis Drives Hypoxia-Induced Chemoresistance in Pancreatic Cancer. Cancer Res. 2023;83:735-752.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 55]  [Cited by in RCA: 46]  [Article Influence: 15.3]  [Reference Citation Analysis (0)]
247.  Ucaryilmaz Metin C, Ozcan G. The HIF-1α as a Potent Inducer of the Hallmarks in Gastric Cancer. Cancers (Basel). 2022;14:2711.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 16]  [Cited by in RCA: 41]  [Article Influence: 10.3]  [Reference Citation Analysis (0)]
248.  Zhao D, Su P, Peng X, Cheng X, Li B, Tang XM, Huang S, Li Z, Cao H, Xiong W. The function and mechanisms of action of lysyl oxidase-like 3 (LOXL3) in cancers. PeerJ. 2025;13:e20274.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
249.  Barrett A, Maslanka MD, Darula Z, McCabe MC, Saviola AJ, Schmitt LR, Weaver V, Pitts TM, Messersmith WA, Hansen KC. Pancreatic Cancer Progression Involves Increased Lysyl Oxidase-Mediated Collagen Cross-Links as Part of the Desmoplastic Reaction. Biochemistry. 2025;64:3515-3525.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 2]  [Cited by in RCA: 2]  [Article Influence: 2.0]  [Reference Citation Analysis (0)]
250.  Çağlayan AD, Kahraman S, Çanakçı D, Tahtacı M, Altınboğa AA, Doğan HT. Association of lysyl oxidase expression with clinicopathological features in colorectal adenocarcinomas. Int J Colorectal Dis. 2025;40:75.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
251.  Luo Y, Li C, Zhang Y, Liu P, Chen H, Zhao Z, Wang Y, Zhou Z, Song H, Su B, Li C, Li X, Zhang T, You H, Wu Y, Tian Z, Zhang S, Guo Y, Fan H, Chen Q, Jiang C, Sun T. Gradient tumor microenvironment-promoted penetrating micelles for hypoxia relief and immunosuppression reversion in pancreatic cancer treatment. Acta Biomater. 2023;167:387-400.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 22]  [Reference Citation Analysis (0)]
252.  Ahmad RS, Eubank TD, Lukomski S, Boone BA. Immune Cell Modulation of the Extracellular Matrix Contributes to the Pathogenesis of Pancreatic Cancer. Biomolecules. 2021;11:901.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 9]  [Cited by in RCA: 40]  [Article Influence: 8.0]  [Reference Citation Analysis (0)]
253.  Zhu J, Luo C, Zhao J, Zhu X, Lin K, Bu F, Yu Z, Zou F, Zhu Z. Expression of LOX Suggests Poor Prognosis in Gastric Cancer. Front Med (Lausanne). 2021;8:718986.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 21]  [Cited by in RCA: 24]  [Article Influence: 4.8]  [Reference Citation Analysis (1)]
254.  Chitty JL, Yam M, Perryman L, Parker AL, Skhinas JN, Setargew YFI, Mok ETY, Tran E, Grant RD, Latham SL, Pereira BA, Ritchie SC, Murphy KJ, Trpceski M, Findlay AD, Melenec P, Filipe EC, Nadalini A, Velayuthar S, Major G, Wyllie K, Papanicolaou M, Ratnaseelan S, Phillips PA, Sharbeen G, Youkhana J, Russo A, Blackwell A, Hastings JF, Lucas MC, Chambers CR, Reed DA, Stoehr J, Vennin C, Pidsley R, Zaratzian A, Da Silva AM, Tayao M, Charlton B, Herrmann D, Nobis M, Clark SJ, Biankin AV, Johns AL, Croucher DR, Nagrial A, Gill AJ, Grimmond SM; Australian Pancreatic Cancer Genome Initiative (APGI);  Australian Pancreatic Cancer Matrix Atlas (APMA), Pajic M, Timpson P, Jarolimek W, Cox TR. A first-in-class pan-lysyl oxidase inhibitor impairs stromal remodeling and enhances gemcitabine response and survival in pancreatic cancer. Nat Cancer. 2023;4:1326-1344.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 51]  [Cited by in RCA: 104]  [Article Influence: 34.7]  [Reference Citation Analysis (1)]
255.  Wang Y, Zhou Q, Luo W, Yang X, Zhang J, Lou Y, Mao J, Chen J, Wu F, Hou J, Tang G, Bai H, Yu R. A collagenase-decorated Cu-based nanotheranostics: remodeling extracellular matrix for optimizing cuproptosis and MRI in pancreatic ductal adenocarcinoma. J Nanobiotechnology. 2024;22:689.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 19]  [Reference Citation Analysis (0)]
256.  Luo J, Cao J, Ma G, Wang X, Sun Y, Zhang C, Shi Z, Zeng Y, Zhang T, Huang P. Collagenase-Loaded H-TiO(2) Nanoparticles Enhance Ultrasound Imaging-Guided Sonodynamic Therapy in a Pancreatic Carcinoma Xenograft Model via Digesting Stromal Barriers. ACS Appl Mater Interfaces. 2022;14:40535-40545.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 7]  [Cited by in RCA: 35]  [Article Influence: 8.8]  [Reference Citation Analysis (0)]
257.  Bian S, Dong H, Zhao L, Li Z, Chen J, Zhu X, Qiu N, Jia X, Song W, Li Z, Zheng S, Wang H, Song P. Antihypertension Nanoblockers Increase Intratumoral Perfusion of Sequential Cytotoxic Nanoparticles to Enhance Chemotherapy Efficacy against Pancreatic Cancer. Adv Sci (Weinh). 2022;9:e2201931.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 16]  [Reference Citation Analysis (0)]
258.  Chen H, Guo Q, Chu Y, Li C, Zhang Y, Liu P, Zhao Z, Wang Y, Luo Y, Zhou Z, Zhang T, Song H, Li X, Li C, Su B, You H, Sun T, Jiang C. Smart hypoxia-responsive transformable and charge-reversible nanoparticles for the deep penetration and tumor microenvironment modulation of pancreatic cancer. Biomaterials. 2022;287:121599.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 22]  [Cited by in RCA: 57]  [Article Influence: 14.3]  [Reference Citation Analysis (1)]
259.  Tang S, Ren F, Hou W, Fan Z, Mo Y, Zhu X, Cao Y, Xu L, Zheng S. Uncovering the Critical Role of Cuproptosis in Wilson Disease: Insights Into Potential Therapeutic Targets. J Cell Mol Med. 2025;29:e70946.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 3]  [Cited by in RCA: 3]  [Article Influence: 3.0]  [Reference Citation Analysis (0)]
260.  Wang Y, Wang X, Gan B, Jia T, Xu T, Xu H. The “Butterfly Effect” of heart failure: Induced by the combination of polylactic acid nanoplastics and copper from the perspective of gut microbiome. Chem Biol Interact. 2025;421:111769.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
261.  Temiz Ö, Kargin F, Cogun H, Fırat Ö. Oxidative stress and toxicity induced by copper and zinc oxide nanoparticles in liver and kidney tissues of male mice. Drug Chem Toxicol. 2025;48:1190-1201.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 1]  [Cited by in RCA: 1]  [Article Influence: 1.0]  [Reference Citation Analysis (0)]
262.  Chih HY, Liu IJ, Lin TC, Hu SH, Hsu TC, Liang JA, Kuo CW, Tzang BS, Chiang WH. Tumor-targeting Cu(2+)/IR820-rich nanozymes to exert photothermal-reinforced reactive oxygen species production and dual glutathione scavenging for synergistic cancer therapy. J Colloid Interface Sci. 2026;703:139183.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 4]  [Reference Citation Analysis (0)]
263.  Ren A, Liu H, Tang Z, Zheng P, Hu Q, Huang T. Nucleolin-Targeted DNA Nanoflowers Enable Multimodal Synergistic Cancer Therapy. Biomater Res. 2025;29:0254.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 1]  [Cited by in RCA: 1]  [Article Influence: 1.0]  [Reference Citation Analysis (0)]
264.  Liu Y, Wang X, Xu H, Wu H, Ju Y, Cui L, Zhao Y, Chen Y, Cui M, Yang F. Ultrasound-Visualized Cuproptosis in Glioblastoma via Endogenous Copper Sequestration and Nitric Oxide-Gas Controlled Release Using a Programmable Nanoliposomal Platform. ACS Nano. 2025;19:38594-38613.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
265.  Liang X, Fang S, Xin Y, Lei J, Wang W, Wei Y, Li W, Li C, Tang H, Wei X, Huang Y, Zheng L, Shentu Y, Meng X, Liu X. Cascade-targeting copper homeostasis nano-regulators for mild-photothermal boosted cuproptosis/ferroptosis mediated breast cancer therapy. J Nanobiotechnology. 2025;23:651.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 11]  [Reference Citation Analysis (0)]
266.  Panhwar FH, Ahsan MZ, Jia X, Ye X, Chen R, Li L, Zhu J. Selenium Supplementation Mitigates Copper-Induced Systemic Toxicity via Transcriptomic Reprogramming and Redox Homeostasis in Mice. Foods. 2025;14:3528.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 3]  [Reference Citation Analysis (0)]
267.  Yu L, Shen Q, Xie X, Ai M, Li Z, Wang P, Zhu Z, Tan C. Rational design of copper ionophores for efficient induction of cuproptosis via simple n-alkyl modification. Eur J Med Chem. 2026;301:118257.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 4]  [Reference Citation Analysis (0)]
268.  Ding D, Chen M, Li W, Luo Z, Xu Y, Zong W, Li W, Chen J. Development of a gastrointestinal-restricted cellulose-based copper sequestrant: potential application in treating Wilson's disease. Int J Biol Macromol. 2026;338:149813.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
269.  Cao S, Pang Y, Wei Y, Zeng H, Zhang H. Targeting cuproptosis opens a new chapter of nanomedicine: a scientometric and graphical analysis. Naunyn Schmiedebergs Arch Pharmacol. 2026;399:1381-1410.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 3]  [Reference Citation Analysis (0)]
270.  Yuan H, Wu Z, He Z, Shi P, Zhang S. Coordination and Click Chemistry Dual-Driven Self-Assembled Copper-DNA Nanoparticles for Tumor Imaging and Therapy. Anal Chem. 2025;97:26539-26548.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 1]  [Cited by in RCA: 2]  [Article Influence: 2.0]  [Reference Citation Analysis (0)]
271.  Luo Y, Liang X, Wang K, Li T, Hua J, Wu D, Cao Z. Copper-manganese hybrid nanogel for MRI-guided combined photothermal and chemodynamic tumor theranostics. J Mater Chem B. 2025;13:12101-12110.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
272.  Gao X, Zhang P, Du K, Zhang M, Wen D, Lu Y, Feng J, Zhang H. Near-Infrared-Light-Responsive Copper Oxide Nanoparticles as Efficient Theranostic Nanoagents for Photothermal Tumor Ablation. ACS Appl Bio Mater. 2021;4:5266-5275.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 1]  [Cited by in RCA: 16]  [Article Influence: 3.2]  [Reference Citation Analysis (0)]
273.  Wang H, Du H, Gao W, Wang J, Ye T, Tang J, Zhao T, Sun B, Zhang M. Eccentric Nanozymes with Maximally Exposed Fe(3)O(4) Core for Optimal MR Imaging and Mesoporous Shell That Delivers Chemotherapy and Cuproptosis. Small. 2025;21:e09885.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 2]  [Cited by in RCA: 3]  [Article Influence: 3.0]  [Reference Citation Analysis (0)]
274.  Koo S, Park OK, Kim J, Han SI, Yoo TY, Lee N, Kim YG, Kim H, Lim C, Bae JS, Yoo J, Kim D, Choi SH, Hyeon T. Enhanced Chemodynamic Therapy by Cu-Fe Peroxide Nanoparticles: Tumor Microenvironment-Mediated Synergistic Fenton Reaction. ACS Nano. 2022;16:2535-2545.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 67]  [Cited by in RCA: 173]  [Article Influence: 43.3]  [Reference Citation Analysis (0)]
275.  Huang H, Guo H, Liu J, Ni C, Xia L, Cao X, Xia J, Shi X, Guo R. Dendrimer/metal-phenolic nanocomplexes encapsulating CuO(2) for targeted magnetic resonance imaging and enhanced ferroptosis/cuproptosis/chemodynamic therapy by regulating the tumor microenvironment. Acta Biomater. 2024;183:252-263.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 28]  [Reference Citation Analysis (2)]
276.  Xu J, Wang Y, Williams GR, Zheng Y, Zhang Y, Wang T, Du C, Wang Y, Wu YL, Zhu LM. A photothermally triggered cascade bioreactor for cuproptosis and ferroptosis-driven cancer immunotherapy. J Colloid Interface Sci. 2025;699:138100.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 6]  [Reference Citation Analysis (0)]
277.  Li T, Rao B, Xu D, Zhou J, Sun W, Zhi X, Zhang C, Cui D, Xu H. Enzyme-like copper-encapsulating magnetic nanoassemblies for switchable T1-weighted MRI and potentiating chemo-/photo-dynamic therapy. Acta Biomater. 2022;153:431-441.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 1]  [Cited by in RCA: 15]  [Article Influence: 3.8]  [Reference Citation Analysis (0)]
278.  Guo Y, Fan Y, Wang Z, Li G, Zhan M, Gong J, Majoral JP, Shi X, Shen M. Chemotherapy Mediated by Biomimetic Polymeric Nanoparticles Potentiates Enhanced Tumor Immunotherapy via Amplification of Endoplasmic Reticulum Stress and Mitochondrial Dysfunction. Adv Mater. 2022;34:e2206861.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 9]  [Cited by in RCA: 88]  [Article Influence: 22.0]  [Reference Citation Analysis (0)]
279.  Zhang X, Detering L, Sultan D, Luehmann H, Li L, Heo GS, Zhang X, Lou L, Grierson PM, Greco S, Ruzinova M, Laforest R, Dehdashti F, Lim KH, Liu Y. CC Chemokine Receptor 2-Targeting Copper Nanoparticles for Positron Emission Tomography-Guided Delivery of Gemcitabine for Pancreatic Ductal Adenocarcinoma. ACS Nano. 2021;15:1186-1198.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 26]  [Cited by in RCA: 51]  [Article Influence: 10.2]  [Reference Citation Analysis (0)]
280.  Xiong H, Wang R, Zhang H, Zhang Q, Qin Y, Du C, Zhang X, Ye J, Shi C, Shen H, Zhu Z, Zhou Z, Chen X, Zhang J. Preclinical and First-in-Human Study of a Compact Radionuclide Labeled Self-Assembly Nanomedicine for Chemo-Radio-Theranostics of Cancer. ACS Nano. 2025;19:3953-3965.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 9]  [Reference Citation Analysis (0)]
281.  Jeong HY, Kang SJ, Kim MW, Jeong IH, Choi MJ, Jung C, Song IH, Lee TS, Park YS. Development of PET Radioisotope Copper-64-Labeled Theranostic Immunoliposomes for EGFR Overexpressing Cancer-Targeted Therapy and Imaging. Int J Mol Sci. 2024;25:1813.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 7]  [Reference Citation Analysis (0)]
282.  Shi Y, Fu Q, Li J, Liu H, Zhang Z, Liu T, Liu Z. Covalent Organic Polymer as a Carborane Carrier for Imaging-Facilitated Boron Neutron Capture Therapy. ACS Appl Mater Interfaces. 2020;12:55564-55573.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 24]  [Cited by in RCA: 39]  [Article Influence: 6.5]  [Reference Citation Analysis (0)]
283.  Ni J, Xu H, Zhong Y, Zhou Y, Hu S. Activatable UCL/CT/MR-enhanced in vivo imaging-guided radiotherapy and photothermal therapy. J Mater Chem B. 2022;10:549-561.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 3]  [Cited by in RCA: 16]  [Article Influence: 4.0]  [Reference Citation Analysis (0)]
284.  Chen X, Liu J, Li Y, Pandey NK, Chen T, Wang L, Amador EH, Chen W, Liu F, Xiao E, Chen W. Study of copper-cysteamine based X-ray induced photodynamic therapy and its effects on cancer cell proliferation and migration in a clinical mimic setting. Bioact Mater. 2022;7:504-514.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 38]  [Cited by in RCA: 47]  [Article Influence: 11.8]  [Reference Citation Analysis (0)]
285.  Luo M, Yukawa H, Sato K, Tozawa M, Tokunaga M, Kameyama T, Torimoto T, Baba Y. Multifunctional Magnetic CuS/Gd(2)O(3) Nanoparticles for Fluorescence/Magnetic Resonance Bimodal Imaging-Guided Photothermal-Intensified Chemodynamic Synergetic Therapy of Targeted Tumors. ACS Appl Mater Interfaces. 2022;14:34365-34376.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 25]  [Reference Citation Analysis (0)]
286.  Ye YJ, Huang XJ, Luo BC, Wang XY, Cai XR. Application of Multiparametric Magnetic Resonance Imaging to Monitor the Early Antitumor Effect of CuS@GOD Nanoparticles in a 4 T1 Breast Cancer Xenograft Model. J Magn Reson Imaging. 2022;55:301-310.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 1]  [Cited by in RCA: 4]  [Article Influence: 0.8]  [Reference Citation Analysis (0)]
287.  Zhang Y, Sun W, Meng X, Yang X, Su L, Huang P, Zhu D, Dong X, Mei L, Lv F. Efficient copper ion transport triggers in situ photothermia and cuproptosis for boosting colon cancer immunotherapy. Biomaterials. 2026;327:123759.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 4]  [Reference Citation Analysis (0)]
288.  Xie T, Shan Y, Topatana W, Yang T, Shen R, Li S, Chen J, Zhu Y, Lu Z, Liu Y, Chen T, Gao Y, Sun Y, Cai X, Juengpanich S, Chen M. Targeted Intracellular Copper Reservoir Enhances Liver Cancer Immunotherapy. Small. 2025;21:e02783.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 8]  [Reference Citation Analysis (0)]
289.  Ren Y, Yi W, Gao J, Wang N, Zhuang D. TPP-coated Mo-doped W(18)O(49) biodegradable nanomaterials with mitochondria-targeting and pH-responsive properties for synergistic photothermal therapy/chemodynamic therapy/chemotherapy. Biomater Sci. 2025;13:6138-6155.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
290.  Li Q, Yu J, Lin L, Zhu Y, Wei Z, Wan F, Zhang X, He F, Tian L. One-Pot Rapid Synthesis of Cu(2+)-Doped GOD@MOF to Amplify the Antitumor Efficacy of Chemodynamic Therapy. ACS Appl Mater Interfaces. 2023;15:16482-16491.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 34]  [Reference Citation Analysis (0)]
291.  Jiang C, Li X, Wan S, Ji S, Wang Q, Hu S, Chen P, Wang B, Ge T, Zhang J, Cao Y, Yang Y, Zhang D, Li Y, Zhang P. Copper-Doped Polydopamine Nanoparticles-Mediated GSH/GPX4-Depleted Ferroptosis and Cuproptosis Sensitizes Lung Tumor to Checkpoint Blockade Immunotherapy. Small. 2025;21:e2503208.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 16]  [Reference Citation Analysis (0)]
292.  Fan M, Yang P, Huo L, Bao J, Tan M, Zeng J, Zhu S, Liu M, Zhao J, Miao W, Zhao Z. Cu-Mn nanocomposite for enhanced tumor cuproptosis achieved by remodeling the tumor microenvironment and activating the antitumor immunogenic responses. Acta Biomater. 2025;194:385-395.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 11]  [Reference Citation Analysis (0)]
293.  Lien HW, Kuo YY, Chang YH, Huynh TMH, Yalamandala BN, Li TC, Iao HM, Pan WC, Lee AY, Chiang WH, Hu SH. Electromagnetic Wireless Remote Control of Reprogramming Immune Dysfunction via N-Doped Carbon Dots-Mesoporous Silica-Mediated Cuproptosis and Dendritic Cell Retention. Adv Healthc Mater. 2026;15:e02817.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 16]  [Reference Citation Analysis (0)]
294.  Li Z, Yu K, Cao Y, Yuan H, Wu L, Xiong L, Tang Y, Liang B. Breaking the Chains of Therapeutic Blockade: Pyroptosis-Induced Photothermal-Chemotherapy with Targeted Nanoprobes in Triple-Negative Breast Cancer. Biomater Res. 2025;29:0200.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
295.  Lesniak WG, Boinapally S, Lofland G, Jiang Z, Foss CA, Behman Azad B, Jablonska A, Garcia MA, Brzezinski M, Pomper MG. Multimodal, PSMA-Targeted, PAMAM Dendrimer-Drug Conjugates for Treatment of Prostate Cancer: Preclinical Evaluation. Int J Nanomedicine. 2024;19:4995-5010.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 10]  [Cited by in RCA: 8]  [Article Influence: 4.0]  [Reference Citation Analysis (0)]
296.  Qiu A, Wen X, Zou Q, Yin L, Zhu S, Sheng Y, He Y, Liu Q, Luo D, Guo Z. Phosphoglycerate Kinase 1: An Effective Therapeutic Target in Cancer. Front Biosci (Landmark Ed). 2024;29:92.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 16]  [Cited by in RCA: 15]  [Article Influence: 7.5]  [Reference Citation Analysis (0)]
297.  Meng F, Luo X, Li C, Wang G. LncRNA LINC00525 activates HIF-1α through miR-338-3p / UBE2Q1 / β-catenin axis to regulate the Warburg effect in colorectal cancer. Bioengineered. 2022;13:2554-2567.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 3]  [Cited by in RCA: 19]  [Article Influence: 4.8]  [Reference Citation Analysis (0)]
298.  Xu Y, Zhang Y, Hao W, Zhao W, Yang G, Jing C. Hypoxia-induced Circular RNA hsa_circ_0006508 Promotes the Warburg Effect in Colorectal Cancer Cells. Balkan Med J. 2023;40:21-27.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 9]  [Reference Citation Analysis (0)]
299.  Liu X, Ma Y, Feng C, Qiao X, Wang H, Wang W, Xu S, Wei J, Yang J. UPP1/ARNT positive feedback loop drives gastric cancer progression through metabolism reprogramming. Med Oncol. 2025;43:21.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 3]  [Reference Citation Analysis (0)]
300.  Zhao H, Jiang R, Feng Z, Wang X, Zhang C. Transcription factor LHX9 (LIM Homeobox 9) enhances pyruvate kinase PKM2 activity to induce glycolytic metabolic reprogramming in cancer stem cells, promoting gastric cancer progression. J Transl Med. 2023;21:833.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 1]  [Cited by in RCA: 19]  [Article Influence: 6.3]  [Reference Citation Analysis (0)]
301.  Wu Z, Zuo M, Zeng L, Cui K, Liu B, Yan C, Chen L, Dong J, Shangguan F, Hu W, He H, Lu B, Song Z. OMA1 reprograms metabolism under hypoxia to promote colorectal cancer development. EMBO Rep. 2021;22:e50827.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 118]  [Cited by in RCA: 109]  [Article Influence: 21.8]  [Reference Citation Analysis (1)]
302.  Smith AL, Whitehall JC, Bradshaw C, Gay D, Robertson F, Blain AP, Hudson G, Pyle A, Houghton D, Hunt M, Sampson JN, Stamp C, Mallett G, Amarnath S, Leslie J, Oakley F, Wilson L, Baker A, Russell OM, Johnson R, Richardson CA, Gupta B, McCallum I, McDonald SA, Kelly S, Mathers JC, Heer R, Taylor RW, Perkins ND, Turnbull DM, Sansom OJ, Greaves LC. Age-associated mitochondrial DNA mutations cause metabolic remodelling that contributes to accelerated intestinal tumorigenesis. Nat Cancer. 2020;1:976-989.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 64]  [Cited by in RCA: 103]  [Article Influence: 17.2]  [Reference Citation Analysis (0)]
303.  Fujiwara-Tani R, Luo Y, Ogata R, Fujii K, Sasaki T, Sasaki R, Nishiguchi Y, Mori S, Ohmori H, Kuniyasu H. Energy Metabolism and Stemness and the Role of Lauric Acid in Reversing 5-Fluorouracil Resistance in Colorectal Cancer Cells. Int J Mol Sci. 2025;26:664.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 7]  [Reference Citation Analysis (0)]
304.  Wang J, Cai C, Zhang X, Ge C, Zhou S, Jin Z, Dai K, Dai N, Yu X, Wang J. KIF4A Facilitates Oxaliplatin Resistance and Stemness in Colon Cancer by Boosting Glucose Metabolism. Digestion. 2025;106:416-428.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
305.  Kakafika MG, Lyta AA, Gavriilidis GI, Tsiftsoglou SA, Miliotou AN, Pappas IS, Vizirianakis IS, Papadopoulou LC, Tsiftsoglou AS. Targeting mitochondrial bioenergetics by combination treatment with imatinib and dichloroacetate in human erythroleukemic K562 and colorectal HCT116 cancer cells. Int J Oncol. 2024;64:42.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 3]  [Reference Citation Analysis (0)]
306.  Yu M, Pan Q, Li W, Du T, Huang F, Wu H, He Y, Wu X, Shi H. Isoliquiritigenin inhibits gastric cancer growth through suppressing GLUT4 mediated glucose uptake and inducing PDHK1/PGC-1α mediated energy metabolic collapse. Phytomedicine. 2023;121:155045.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 33]  [Reference Citation Analysis (0)]
307.  Guo T, Zhang J, Yuan Z, Tang H, Wang T, Wang X, Chen S. Cuproptosis-Related Genes Are Associated with Cell Cycle and Serve as the Prognostic Signature for Clear Cell Renal Cell Carcinoma. J Clin Med. 2022;11:7507.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 3]  [Reference Citation Analysis (0)]
308.  Wang T, Liu Y, Li Q, Luo Y, Liu D, Li B. Cuproptosis-related gene FDX1 expression correlates with the prognosis and tumor immune microenvironment in clear cell renal cell carcinoma. Front Immunol. 2022;13:999823.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 4]  [Cited by in RCA: 50]  [Article Influence: 12.5]  [Reference Citation Analysis (0)]
309.  Bian Z, Fan R, Xie L. A Novel Cuproptosis-Related Prognostic Gene Signature and Validation of Differential Expression in Clear Cell Renal Cell Carcinoma. Genes (Basel). 2022;13:851.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 80]  [Cited by in RCA: 244]  [Article Influence: 61.0]  [Reference Citation Analysis (5)]
310.  Huang X, Zhou S, Tóth J, Hajdu A. Cuproptosis-related gene index: A predictor for pancreatic cancer prognosis, immunotherapy efficacy, and chemosensitivity. Front Immunol. 2022;13:978865.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 5]  [Cited by in RCA: 38]  [Article Influence: 9.5]  [Reference Citation Analysis (4)]
311.  Chen Y, Zou X, Ma M, Liu Y, Wang R, Dai Z, Tashiheng Y, Yan Y, Yu X, Wang X, Liu C, Lin X, Cheng H. Expression Profiles of Cuproptosis-Related Genes Determine Distinct Subtypes of Pancreatic Ductal Adenocarcinoma. Curr Oncol. 2023;30:1648-1662.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 2]  [Cited by in RCA: 6]  [Article Influence: 2.0]  [Reference Citation Analysis (0)]
312.  Wu X, Bai Z, Wang H, Wang H, Hou D, Xu Y, Wo G, Cheng H, Sun D, Tao W. CRISPR-Cas9 gene editing strengthens cuproptosis/chemodynamic/ferroptosis synergistic cancer therapy. Acta Pharm Sin B. 2024;14:4059-4072.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 19]  [Reference Citation Analysis (0)]
313.  Yan Y, Xu N, Wang X, Shi L, Huang Q, Wang J, Li X, Ni T, Yang Z, Guo W. Mesoporous polydopamine/copper sulfide hybrid nanocomposite for highly efficient NIR-triggered bacterial inactivation. Int J Biol Macromol. 2024;277:134238.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 9]  [Reference Citation Analysis (0)]
314.  Chen T, Huang C, Liu Y, Nie D, Chen J. Bimetallic nanozyme-mediated dual ferroptosis/cuproptosis synergy potentiates immunotherapy in bladder cancer. Colloids Surf B Biointerfaces. 2025;255:114954.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 11]  [Reference Citation Analysis (0)]
315.  Wang P, Zhong R, Wu Y, Jin L, Zhang Y, Zhang K, Zhao F. Ultrasound-activated copper-based sonosensitizer for dual-amplified ROS-mediated tumor therapy and cuproptosis induction. J Mater Chem B. 2025;13:13098-13109.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
316.  Ren L, Zhang J, Nie L, Shavandi A, Yunusov KE, Aharodnikau UE, Solomevich SO, Sun Y, Jiang G. Platelet Membrane-Camouflaged Copper Doped CaO(2) Biomimetic Nanomedicines for Breast Cancer Combination Treatment. ACS Biomater Sci Eng. 2024;10:7492-7506.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 7]  [Cited by in RCA: 10]  [Article Influence: 5.0]  [Reference Citation Analysis (0)]
Footnotes

Peer review: Externally peer reviewed.

Peer-review model: Single blind

Specialty type: Oncology

Country of origin: China

Peer-review report’s classification

Scientific quality: Grade A, Grade B, Grade D

Novelty: Grade B, Grade B, Grade D

Creativity or innovation: Grade B, Grade B, Grade D

Scientific significance: Grade A, Grade B, Grade C

P-Reviewer: Özden Y, MD, Türkiye; Wang XD, MD, PhD, Researcher, China S-Editor: Hu XY L-Editor: A P-Editor: Wang WB

Write to the Help Desk