Safe and efficient drug delivery is as important as drug development. Biological barriers, such as cell membranes, present significant challenges in drug delivery, especially for newly developed protein-, nucleic acid-, and cell-based drugs. Ultrasound-mediated drug delivery systems offer a promising strategy to overcome these challenges. Ultrasound, a mechanical wave with energy, produces thermal effects, cavitation, acoustic radiation, and other biophysical effects. Used alone or in combination with microbubbles or sonosensitizers, it breaks biological barriers, enhances targeted drug delivery, reduces adverse reactions, controls drug release, switches on/off drug functions, and ultimately improves therapeutic efficiency. Various ultrasound-mediated drug delivery methods, including transdermal drug delivery, nebulization, targeted microbubble destruction, and sonodynamic therapy, are being actively explored for the treatment of various diseases. This review article introduces the principles, advantages, and applications of ultrasound-mediated drug delivery methods for improved therapeutic outcomes and discusses future prospects in this field.

Progestin and adipoQ receptor family member 4 (PAQR4) gene is a recently discovered seven-transmembrane protein-coding gene that belongs to the PAQR family. An increasing amount of evidence suggests that PAQR4 is upregulated in multiple tumors and participates in tumor progression and chemotherapy resistance via different signaling pathways; PAQR4 regulates cellular ceramide homeostasis by influencing sphingolipid metabolism and glycerol metabolism, and plays a significant role in adipose tissue remodeling. Meanwhile, it is known that the differential expression of PAQR4 is associated with the occurrence of various diseases and is a potential biomarker and therapeutic target. This article conducts a systematic review of the subcellular localization of PAQR4, its topological structure characteristics, and its functions in cancer occurrence, metabolic diseases, and fertility, and provides clues for the future research and translational application of PAQR4.

Neoadjuvant therapy (NAT) is the standard treatment strategy for MRI-defined cT4 rectal cancer. Predicting tumor regression can guide the resection plane to some extent. Here, we covered pre-treatment MRI imaging of 363 cT4 rectal cancer patients receiving NAT and radical surgery from three hospitals: Center 1 (n = 205), Center 2 (n = 109) and Center 3 (n = 52). We propose a machine learning model named RCMIX, which incorporates a multilayer perceptron algorithm based on 19 pre-treatment MRI radiomic features and 2 clinical features in cT4 rectal cancer patients receiving NAT. The model was trained on 205 cases of cT4 rectal cancer patients, achieving an AUC of 0.903 (95 % confidence interval, 0.861-0.944) in predicting T-downstage. It also achieved AUC of 0.787 (0.699-0.874) and 0.773 (0.646-0.901) in two independent test cohorts, respectively. cT4 rectal cancer patients who were predicted as Well T-downstage by the RCMIX model had significantly better disease-free survival than those predicted as Poor T-downstage. Our study suggests that the RCMIX model demonstrates satisfactory performance in predicting T-downstage by NAT for cT4 rectal cancer patients, which may provide critical insights to improve surgical strategies.

Anaplastic lymphoma kinase (ALK), which encodes a highly conserved receptor tyrosine kinase (RTK), is important for the development and progression of many tumors, especially non-small cell lung cancer (NSCLC). Currently, third-generation ALK inhibitors are used to treat ALK-mutant NSCLC, but the rapid emergence of resistance during treatment greatly limits their efficacy in clinic. In comparison to single-target inhibitors, ALK dual inhibitors offer the benefits of reducing the emergence of drug resistance, improving treatment efficacy, and optimizing pharmacokinetic features due to the synergistic function of ALK and other associated targets involved in tumor progression. Therefore, we outline the development of ALK dual inhibitors, highlight their design approaches and structure-activity relationship (SAR), and offer insights into new challenges and potential future directions in this area.

The presence of overexpressed folate-receptor and high concentration of glutathione (GSH) in liver cancer cells has been exploited and we have synthesized Folic acid-Dextran-Cystamine-Stearic acid (FDCS) for efficient and multifunctional delivery of the drug sorafenib (SAF) to enhance the anticancer effects.

The characteristics of micelles such as physicochemical properties and in vitro release were investigated. The pharmacokinetic characteristics of the micelle and SAF groups in rats were investigated. In vitro and in vivo anti-tumor experiments were performed with HepG2 cells.

SAF-FDCS was successfully prepared and characterized. The cellular experiments showed that SAF-FDCS significantly enhanced the toxicity and inhibitory effects on HepG2 cells compared with free drug and the other micelles without smart response, and the uptake capacity of cellular HepG2 for SAF-FDCS was significantly higher than the groups without folic acid. Pharmacokinetic results showed that SAF-FDCS revealed a longer circulation time than free SAF. In addition, the tumor inhibition rate of SAF-FDCS in the subcutaneous graft tumor model of HepG2 cells was 84.6%, significantly higher than in other groups.

These results demonstrated the feasibility of SAF-FDCS micelles in inhibiting tumor growth and their superiority in anti-cancer effects compared to free drugs and normal micelles.

Targeting molecules, such as antibodies and peptides, play a key role in the precise delivery of cytotoxic payloads to tumor sites by binding to specific tumor-associated antigens or other proteins within the tumor microenvironment. This investigation evaluates the potential therapeutic application of a bispecific antibody (BsAb), which simultaneously targets EphA2, a tumor-associated antigen, and CD11b, a protein expressed by tumor-associated macrophages and myeloid-derived suppressor cells (TAMCs). Recombinantly produced anti-EphA2-CD11b-BsAb was conjugated to a bifunctional chelator, NOTA-SCN, and then radiolabeled with copper-64 (64Cu). The [64Cu]Cu-NOTA-anti-EphA2-CD11b-BsAb radioimmunoconjugate was subsequently administered to HT1080-fibrosarcoma-bearing nude mice via tail vein injection. Positron Emission Tomography (PET) and ex vivo biodistribution analyses were performed to determine tumor uptake and pharmacokinetic localization. At 4, 24, and 48 h postinjection (p.i.), the percent injected dose per gram (%ID/g) of [64Cu]Cu-NOTA-anti-EphA2-CD11b-BsAb in HT1080 xenografts were 5.35 ± 2.24, 4.44 ± 1.90, and 4.10 ± 0.60, respectively. There was high uptake in the liver as well as in CD11b-expressing organs, including the spleen, bone marrow, and lung. Binding in these CD11b-rich organs was significantly reduced by coadministering the dose with nonradiolabeled anti-CD11b-IgG and anti-EphA2-CD11b-BsAb, with a concurrent increase in tumor uptake compared to nonblocked mice (8.39 ± 1.37%ID/g for blocked and 4.44 ± 1.90%ID/g for nonblocked at 24 h p.i., p = 0.0175). Further optimization studies showed that at lower molar activity (3.7 MBq/nmol, 100 μCi/nmol), there were significantly higher tumor accumulations and reduced uptake in CD11b-expressing organs compared to higher molar activity (22.2 MBq/nmol, 600 μCi/nmol). Anti-EphA2-CD11b-BsAb is a functional targeting molecule and would require optimization through molar activity or blocking with nonradiolabeled antibody to maximize tumor targeting.

As part of an ongoing investigation into imidazolone derivatives with anticancer activities, herein we present the synthesis of a new series of imidazolones with various substituents, including lipophilic and hydrophilic. All synthesized imidazolones (3a-3g and 5a-5g) were characterized by various spectroscopic methods (1H and 13C NMR, FT-IR, and mass spectrometry). The preparation was performed by condensation cyclization of vanillin-based oxazolones with various amines. The anticancer efficiencies of the prepared imidazolones were tested against four different cancer cell lines liver cancer cells (HepG2), cervical adenocarcinoma cells (HeLa), colon cancer cells (CaCo-2), breast cancer cells (MCF-7). Among the prepared imidazolones the one with dodecyl chain displayed excellent efficiency against the tested cancer cell lines with an IC50 value of 65.3 ± 3.2 µM against HepG2 and 20.02 ± 3.5 µM against MCF-7. Imidazolone 2d with amino alkyl moiety displayed an IC50 value of 35.6 ± 4.1 µM against HeLa cell and 24.6 ± 3.8 µM against CaCo-2 cell line. Imidazolone 5g with thiophene and pyridyl group showed the highest activity among all tested derivatives with IC50 value of 18.6 ± 2.3 µM and 5.9 ± 2.3 µM against HeLa and CaCo-2 cell lines, respectively. Imidazolone 5b with a chlorophenyl moiety displayed an IC50 value of 2.2 ± 0.7 µM and 5.5 ± 1.1 µM against HepG2 and Hela cell lines, respectively. The study used computational tools to assess the pharmacokinetics and antitumor potential of the synthesized imidazolone molecules with the highest activities. They were evaluated through ADME analysis and molecular docking. ADME properties confirm favorable drug-likeness under Lipinski's guidelines, with molecular weights ranging from 357.43 (5d) to 468.65 g/mol (5f). Molecules 2g, 2f, and 5f show optimal hydrogen bonding, moderate bioavailability (0.55), and synthetic accessibility scores from 3.78 to 4.76. Docking studies with proteins 4MAN and 1HNJ highlight strong interactions for 2g, 2f, and 5f, with molecule 3g showing the best binding for 4MAN (- 52.13 kcal/mol) and 5f for 1HNJ (- 38.63 kcal/mol). These results identify 3g and 5f as promising candidates for targeted cancer therapy.

This study investigates the effects of 4-farnesyloxycoumarin (4-FOC)-conjugated NCC/CTAB/CS nanoparticles (NPs) on PANC-1 pancreatic cancer cells, highlighting their cytotoxicity and antioxidant properties. Dynamic light scattering (DLS) analysis revealed a Z-average particle size of 275.68 nm, with a polydispersity index of 0.3020. The mean intensity diameter was 334.68 nm, and the mean volume diameter was 380.97 nm. The zeta potential was recorded at 28.88 ± 12.64 mV, confirming good stability due to electrostatic repulsion. Field emission scanning electron microscopy (FESEM) confirmed the successful conjugation of 4-FOC to the NPs, and Fourier-transform infrared (FTIR) spectroscopy validated the incorporation of functional groups. In contrast, the encapsulation efficiency of 4-FOC was measured at 88.49%. Cytotoxicity assays indicated a significant reduction in PANC-1 cell viability, with an IC50 value of 61.23 µg/mL; in contrast, human dermal fibroblast (HDF) cells exhibited greater resilience, maintaining 92.61 ± 2.33% viability at 100 µg/mL. Apoptotic assays revealed a dose-dependent increase in early and late apoptotic cells, with late apoptosis rising to 54.1% at 81 µg/mL. Gene expression analysis showed significant upregulation of caspase 3 (2.25 ± 0.33), p21 (1.70 ± 0.05), and p53 (2.71 ± 0.29 at 61 µg/mL), underscoring the NPs' role in apoptosis and cell cycle regulation. Additionally, the antioxidant capacity of the NPs was confirmed through ABTS and DPPH radical scavenging assays, achieving 38.82% and 68.25% scavenging activity at the highest concentrations, respectively. These findings suggest that 4-FOC-conjugated NCC/CTAB/CS NPs hold promise as a therapeutic strategy for treating pancreatic cancer.

Acute lymphoblastic leukemia (ALL), one of the most frequently diagnosed malignancies in children, is associated with a high relapse rate and drug resistance, even with intensive multidrug chemotherapy regimens. The rational combination with molecular targeted agents holds promise for sensitizing patients to chemotherapies and overcoming drug resistance. However, precise codelivery of different drugs in vivo is challenging, often leading to suboptimal therapeutic effects. Herein, we report a vincristine/volasertib polymersome (Ps-VCR/Vol)-based nanocombo for synergistic inhibition of microtubules and polo-like kinase 1, enabling high-efficacy treatment of ALL in vivo. Ps-VCR/Vol, which has a small size (∼26 nm) and tailored VCR/Vol mass ratios from 1:12 to 1:48, exhibited strong synergy in different ALL cells, with 3.3-6.8-fold greater anti-ALL activity than the free VCR/Vol combination. Intriguingly, treatment with Ps-VCR/Vol at a VCR/Vol dosage of 0.25/6 mg/kg markedly inhibited leukemia progression and invasion in orthotopic CCRF-CEM, Nalm-6-Luc and patient-derived xenograft ALL mouse models without inducing toxicity, resulting in a significantly prolonged survival time compared with that of the free drug combination and single-drug polymersome formulations. Ps-VCR/Vol polymersome injection provides a powerful synergistic combination therapy for ALL. STATEMENT OF SIGNIFICANCE: Multidrug combination therapies have increased the remission rates of acute lymphoblastic leukemia (ALL) patients. However, the therapeutic efficacy remains suboptimal due to the dissimilar physicochemical properties of the different drugs involved, and overlapping toxicities pose a critical concern. Herein, we show that intelligent polymersomes mediate the precise codelivery of vincristine sulfate (VCR), a frontline drug for ALL, and volasertib (Vol), a polo-like kinase 1 inhibitor, enabling synergistic treatment of ALL. Compared with free VCR/Vol, VCR/Vol polymersomes with tailored drug ratios substantially inhibited leukemia progression in both cell line- and patient-derived orthotopic ALL models without inducing toxicity, leading to a significant survival benefit. This synergistic polymersome injection may provide a powerful and safe combination therapy for ALL patients.

Iron-based nanozymes are an emerging class of nanomaterials demonstrating significant potential in tumor therapy by inducing ferroptosis-a regulated form of cell death marked by iron-mediated lipid peroxidation (LPO). These nanozymes exhibit unique enzymatic activities, including peroxidase, oxidase, and glutathione oxidase-like functions, enabling them to generate reactive oxygen species (ROS) and disrupt tumor microenvironment homeostasis. Leveraging Fenton chemistry, iron-based nanozymes amplify oxidative stress within tumor cells, thereby overcoming therapeutic challenges such as drug resistance and nonspecific toxicity. Despite significant advancements, the precise mechanisms by which iron-based nanozymes influence ferroptosis and their therapeutic efficacy remain underexplored. This review systematically categorizes these iron-based nanozymes, including iron oxides, single-atom enzymes, and metal-organic frameworks. We further elucidate their mechanisms in enhancing ferroptosis, focusing on their structural attributes, ROS generation pathways, and their enzymatic activities. Additionally, we summarized their biochemical applications alongside challenges in biosafety, nanozyme specificity, and advanced design and analysis approaches essential for maximizing their therapeutic efficacy.

A new series of 3-substituted phenyl quinazolinone derivatives were designed and synthesized as anti-cancer agents. The most potent derivative with IC50 values of 12.84 ± 0.84 and 10.90 ± 0.84 µM against MCF-7 and SW480 cell lines was comparable to Cisplatin and Erlotinib as positive controls. Cell cycle analysis showed that the most active compound could arrest at S phase in MCF-7 breast cancer cells. The apoptosis assay demonstrated the induction of apoptosis in the MCF-7 cell line, too. Molecular docking results showed better accommodation of the most active compound through hydrogen bonding interaction in the binding site of EGFR enzyme. Molecular dynamics simulations for the potent analogue demonstrated well binding stability compared to the less active analogue, with a lower RMSD, Rg and more interactions with the original active site residues. DFT calculations were performed on the active and inactive compounds, using Gaussian 09 at the M06-2X/6-31 + G(d) theoretical level. ADME (Absorption, Distribution, Metabolism, and Excretion) properties showed that most of the compounds are in acceptable range of Lipiniski rule. These findings underscore the potential of the synthesized compounds as potent cytotoxic inhibitors and provide insights for developing effective treatments for cancer therapy.

Despite current medicine's fast-paced advances, many acute and chronic illnesses still lack truly effective and safe therapies. Cancer treatments often lead to off-target healthy tissue damage and poor therapeutic outcomes, wound standard treatments generally demonstrate poor healing efficacy and increased susceptibility to infection, and bone tissue engineering and myocardial tissue engineering can result in immunological rejection and limited availability. To tackle these issues, injectable hydrogels have emerged, and through the incorporation of nanoparticles, nanocomposite hydrogels have appeared as versatile platforms, offering improved biocompatibility, mechanical strength, stability, and precise controlled drug release, as well as targeted delivery with increased drug retention at the site of action, reducing systemic drug distribution to non-target sites. With the ability to deliver a diverse range of therapeutic entities, including low molecular weight drugs, proteins, antibodies, and even isolated cells, injectable nanocomposite hydrogels have revolutionized current therapies, working as multifunctional platforms capable of improving efficacy and safety in cancer treatment, including in chemotherapy, immunotherapy, photothermal therapy, magnetic hyperthermia, photodynamic therapy, chemodynamic therapy, radiotherapy, molecularly targeted therapy, and after tumor surgical removal, and in general, chronic diabetic or tumor-induced wound healing, as well as in bone tissue engineering and myocardial tissue engineering. This review provides a thorough summary and critical insight of current advances on injectable nanocomposite hydrogels as an innovative approach that could bring substantial contributions to biomedical research and clinical practice, with a focus on their applications in cancer therapy, wound healing management, and tissue engineering.

Gastrointestinal malignancies are a major public health concern worldwide, characterized by high incidence and mortality rates. Despite continuous advancements in existing treatment methods, overall survival rates remain low. Lipid metabolism plays a crucial role in the occurrence, progression, and treatment of gastrointestinal malignancies. Its involvement in the metabolic reprogramming of tumor cells, regulation of the tumor microenvironment, and drug response has become a research hotspot.

This review summarizes current research related to lipid metabolism mechanisms, biomarkers, and therapies in GI cancers, with emphasis on its interaction with the tumor microenvironment.

Deep learning, a leading technology in artificial intelligence (AI), has shown remarkable potential in revolutionizing nuclear medicine.

This review presents recent advancements in deep learning applications, particularly in nuclear medicine imaging, lesion detection, and radiopharmaceutical therapy.

Leveraging various neural network architectures, deep learning has significantly enhanced the accuracy of image reconstruction, lesion segmentation, and diagnosis, improving the efficiency of disease detection and treatment planning. The integration of deep learning with functional imaging techniques such as positron emission tomography (PET) and single-photon emission computed tomography (SPECT) enable more precise diagnostics, while facilitating the development of personalized treatment strategies. Despite its promising outlook, there are still some limitations and challenges, particularly in model interpretability, generalization across diverse datasets, multimodal data fusion, and the ethical and legal issues faced in its application.

As technological advancements continue, deep learning is poised to drive substantial changes in nuclear medicine, particularly in the areas of precision healthcare, real-time treatment monitoring, and clinical decision-making. Future research will likely focus on overcoming these challenges and further enhancing model transparency, thus improving clinical applicability.

Malignant tumors are characterized by irregular boundaries, rapid and uncontrolled cell growth, the ability to invade surrounding tissues, and the potential to spread and metastasize to other parts of the body through the bloodstream or lymphatic system. More than 90 % of cancer-related deaths are attributed to the metastasis of cancer cells. When malignant tumors metastasize, the metabolic processes within the cells undergo significant changes, with enzymes playing a crucial role in regulating metabolism and serving as key mediators in both synthesis and degradation. Oxygenases are a group of oxidative enzymes that catalyze the incorporation of oxygen atoms into various substrates. Advances in our understanding of the genome and proteome of malignant tumors have revealed that oxygenases are highly expressed in many metastatic tumor cells, where they can enhance the activity of specific proteins that regulate tumor metastasis. Furthermore, there is a growing recognition that certain drugs can specifically target oxygenases to inhibit tumor metastasis, with several of these agents are currently undergoing clinical evaluation. In this context, we summarize the mechanisms by which oxygenases influence cancer cell behavior, along with the preclinical and clinical studies related to targeted therapies involving oxygenases.

Cancer remains one of the leading causes of mortality worldwide, with a growing need for precise and effective treatments. Traditional therapies such as chemotherapy and radiotherapy have limitations, including off-target effects and drug resistance. In recent years, targeted therapies have emerged as promising alternatives, aiming to improve treatment specificity and reduce systemic toxicity. Among the most innovative approaches, bispecific antibodies, nanobodies, and extracellular vesicles offer distinct and complementary mechanisms for cancer therapy. Bispecific antibodies enhance immune responses and enable dual-targeting of cancer cells, nanobodies provide superior tumor penetration due to their small size, and extracellular vesicles present a novel platform for drug and RNA delivery. This work aims to review and analyze these three approaches, assessing their current applications, advantages, challenges, and future perspectives.

In recent years, molecular target drugs have become integral in treating malignant tumours. Multikinase inhibitors (MKIs) have been associated with serious skin disorders, including hand-foot skin reaction (HFSR), which impair patient quality of life, often disrupting activities of daily living necessitating dose reduction or discontinuation. As the pathogenic mechanisms of these skin disorders are unknown, no effective treatments have been established. Previously, by drug repurposing using an in vitro culture system, certain azole antifungal drugs (AFDs) were identified that prevented sorafenib-induced cell death of normal human epidermal keratinocytes. In this study, topical ketoconazole demonstrated clinical improvement in hyperkeratosis and pain associated with sorafenib-induced HFSR. Investigation of the mechanism using the in vitro culture system revealed sorafenib to be particularly cytotoxic among MKIs. Annexin V and TUNEL staining revealed apoptosis was mainly involved in this cytotoxicity. Antibody arrays and western blot showed increased levels of secretion of interleukin-1 receptor antagonist and macrophage migration inhibitory factor in culture supernatants. AFDs suppressed the secretion of these cytokines and reduced apoptosis in keratinocytes. This study reveals one aspect of the pathogenesis of sorafenib-induced HFSR and demonstrates that AFDs may be an effective treatment.

Recent advancements in nanotechnology have significantly advanced nanocarrier-mediated drug delivery systems, promoting therapeutic outcomes in mitigating chronic inflammation and cancer. Nanomaterials offer significant advantages over traditional small-molecule drugs, including a high surface-area-to-volume ratio, tunable structural features, and extended bloodstream circulation time. Chronic inflammation is a well-established mechanism for malignant initiation, progression, and metastasis, promoting the potent strategy for cancer prevention and therapy. Numerous studies revealed that nonsteroidal anti-inflammatory drugs (NSAIDs) have the therapeutic ability to manage disease progression via amolerating angiogenesis and inducing apoptosis. However, prolonged intake of NSAIDs is often limited by adverse side-effects and systemic toxicities. The encapsulation of NSAIDs in a nanocarrier have materialized as a dynamic approach to mitigate the limitations by improving pharmacokinetics and pharmacodynamics, reducing off-target effects, and enhancing the drug stability. This review encompasses recent progress in the development of NSAID-based nanotherapeutics, focusing on pivotal mechanisms underlying nanoparticle-mediated drug delivery, such as improved tumor-specific targeting and strategies to overcome drug resistance. The ability of these nano-cargoes to accommodate anti-inflammatory strategies with advanced drug delivery platforms is critically evaluated. This review also highlights the transformative potential of NSAID-encapsulated nanoparticles as a multifaceted therapeutic venue for addressing chronic inflammation and mitigating cancer progression.

Central nervous system (CNS) tumors are exceptionally difficult to treat, and oxidative stress-inducing radiotherapy is an important treatment modality. In this study, we examined self-assembling pro-drug nanoconjugates of naturally derived antitumor ecdysteroids, which were designed to interfere with oxidative stress in brain tumor cells. Eight ecdysteroid-squalene conjugates were semi-synthesized and formulated into self-assembled aqueous nanosuspensions, which showed excellent stability for up to 16 weeks. The nanoassemblies demonstrated a strong dose-dependent sensitizing effect to tert-butyl hydroperoxide (tBHP)-induced oxidative damage in SH-SY5Y cells, while exerting a strong protective effect in MRC-5 fibroblast cells. In contrast, free ecdysteroids protected both cell lines from tBHP-induced damage. This suggests an important role for squalenoylation in the antitumor effect and indicates that our conjugates have potential as highly selective adjuvants in radiotherapy by sensitizing cancer cells and protecting surrounding tissues. Furthermore, our findings suggest a potential neuroprotective effect of nonconjugated ecdysteroids.

Apatinib is a targeted therapy used in the treatment of advanced gastric cancer. However, many gastric cancer patients develop resistance to Apatinib, and the mechanisms underlying this resistance remain unclear. Previous studies have shown that Apatinib can induce ferroptosis in gastric cancer cells. More recent research suggests that polyunsaturated ether phospholipids are closely associated with tumor cell sensitivity to ferroptosis, and may represent key molecules involved in the resistance of tumor cells to ferroptosis.

We established Apatinib-resistant gastric cancer cell lines and assessed their tolerance to ferroptosis. We identified key enzymes responsible for the ferroptosis tolerance observed in drug-resistant cells using lipidomics and transcriptomics analysis. Molecular and biological experiments were conducted to elucidate the molecular mechanisms underlying Apatinib resistance mediated by ferroptosis tolerance in gastric cancer cells.

Apatinib resistance is closely linked to ferroptosis resistance, which is driven by a reduction in the levels of polyunsaturated ether phospholipids-phospholipids that are particularly susceptible to oxidation and induce ferroptosis. The downregulation of key enzymes involved in polyunsaturated ether phospholipid synthesis, such as AGPS, mediates tolerance to both ferroptosis and Apatinib in gastric cancer cells, both in vitro and in vivo. Mechanistically, the expression of AGPS in tumor cells is regulated by the transcription factor ELK1. Drug-resistant cells acquire Apatinib tolerance by downregulating both ELK1 and AGPS expression.

Apatinib-resistant gastric cancer cells exhibit reduced expression of the transcription factor ELK1, which regulates the expression of AGPS. This reduction contributes to the resistance and malignancy of gastric cancer cells.

Prostate cancer (PCa) is second only to lung cancer in terms of death among men worldwide. Advanced PCa frequently results in bone metastases, which occur in ~90% of patients and frequently result in severe skeleton‑related events. Currently, the treatment for this disease is limited to alleviating its clinical symptoms and cannot provide a complete cure. Therefore, the development of novel treatment strategies is particularly important. In recent years, numerous novel strategies for the diagnosis and treatment of PCa have emerged, resulting in good clinical efficacy. For example, strategies targeting prostate specific membrane antigen, poly ADP‑ribose polymerase and programmed cell death protein 1 have been applied to PCa‑induced bone metastasis, and have shown initial efficacy and great potential. Therefore, understanding the molecular mechanisms underlying the formation of bone metastases in patients with PCa is of importance for the effective management of this disease. The purpose of the present review is to comprehensively outline the roles of protein‑coding genes and non‑coding RNAs in the development of bone metastases of PCa to elucidate their significance in the management of PCa. The aim is to offer clinicians and researchers a comprehensive understanding of this topic.

The emergence of molecularly targeted therapies and immunotherapies has revolutionized cancer treatment, yet the optimal sequencing of these modalities remains debated. While targeted therapies often induce initial immunostimulatory effects, the development of resistance is accompanied by dynamic alterations in the tumor-immune microenvironment. These changes can promote tumor growth, hinder immune surveillance, and contribute to subsequent immunotherapy resistance. This review focuses on solid tumors and summarizes the immunomodulatory effects arising in the context of targeted therapy resistance, highlighting the challenges they pose for the subsequent immunotherapy efficacy.

In this research, a series of novel hydrazone derivatives based on pyrazolopyridothiazinylacetohydrazide were designed, synthesized, and evaluated for their in vitro cytotoxic potency on several human colon cancer cells (HTC116, HT-29, and LoVo). After MTT and SRB assays four of the most active derivatives: hydrazide GH and hydrazones GH7, GH8, and GH11, were chosen for further investigation. Hydrazone GH11 had the highest cytotoxic activity (IC50 values of c.a. 0.5 μM). Additionally, the impact of novel derivatives on the oxidative stress level, apoptosis induction, and modulation of inflammation in colon cancer cells was examined. In all studies, the activity of the derivatives increased in order GH < GH7 < GH8 < GH11. At the same time, most of the research was conducted on compounds combined with apple pectin (PC). The most interesting observation was that all the studied derivatives applied together with PC showed significantly higher activity than observed in the case of using PC, hydrazide, or hydrazones separately. Finally, computational chemistry methods (molecular modeling and Density Functional Theory - DFT) were used to complement the experimental studies.

The study investigates the therapeutic potential of enzyme variations EP-22, DS-13, and SM-47 in cervical cancer treatment using HeLa and SiHa cell lines, focusing on their effects on cell viability, migration, and molecular targets. The MTT assay findings also show that at a concentration of 50 μg/mL, EP-22 has an IC50 value of 35 % for HeLa cells and 28 % for SiHa cells, a significant dose effect (p < 0.01). EP-22 was not less potent at a lower working concentration of 25 μg/mL and could reduce HeLa cell viability to 78 %. In this case, there were significant changes in the anti-migratory effect, as evidenced by 45 % inhibition of SiHa cell migration and a 12 % wound closure rate compared with 54 % in the untreated cells. The obtained densitometric analysis indicated that in EP-22 treated HeLa cells, syndecan-1 and perlecan protein levels were reduced by approximately 65 % and 57 %, respectively, while the MMP-2 and MMP-9 levels were reduced to about 50 % and 45 %, respectively. Annexin V staining also highlighted a 40 % enhancement in early apoptosis and 25 % in late apoptosis in EP-22 handled cells. These data suggest the potential of EP-22 and its derivatives as therapeutic molecules in cervical cancer treatment, reducing HeLa proliferation by 35 % and SiHa by 28 %, inhibiting SiHa migration by 45 %, and affecting molecular targets involved in adhesion and invasiveness. Future studies must elucidate the effectiveness of in vivo experiments and how these findings were obtained. At 50 μg/mL, EP-22 reduced HeLa and SiHa cell viability by 35 % and 28 %, respectively, with significant dose-dependent effects (p < 0.01). At 25 μg/mL, EP-22 maintained potency, reducing HeLa cell viability to 78 %. EP-22 inhibited SiHa cell migration by 45 % and reduced wound closure rates to 12 % compared to 54 % in untreated cells. This work uses the HeLa and SiHa cell lines to examine the therapeutic potential of enzyme variation EP-22 in cervical cancer. EP-22 showed significant anti-cancer effects at 50 μg/mL doses, reducing cell viability at lower concentrations and achieving an IC50 of 35 % for HeLa cells and 28 % for SiHa cells. It is worth mentioning that EP-22 considerably reduced levels of essential proteins: syndecan-1 (65 %), perlecan (57 %), MMP-2 (50 %), and MMP-9 (45 %), in addition to inhibiting SiHa cell migration by 45 %. Furthermore, annexin V staining showed that treated cells exhibited a 40 % increase in early apoptosis and a 25 % increase in late apoptosis.

Glioblastoma multiforme (GBM) accounts for 70% of all primary malignancies of the central nervous system. Current treatment strategies involve surgery followed by chemotherapy with temozolomide (TMZ); however, the median survival after treatment is approximately 15 months. Many GBM cases develop resistance to TMZ, resulting in a poor prognosis for patients, which underscores the urgent need for novel therapeutic approaches. One promising avenue is the inhibition of histone deacetylase 6 (HDAC6), an enzyme that deacetylates α-tubulin and is increasingly recognized as a potential pharmacological target in cancer. In GBM specifically, HDAC6 overexpression has been linked to poor prognosis and chemoresistance. In this study, we demonstrate that HDAC6 protein levels are elevated in GBM and evaluate the effects of the novel selective HDAC6 inhibitor, WT161, on U251, U87, and T98G cells to assess its potential to revert the malignant phenotype. Our results show a significant increase in acetylated α-tubulin levels, suppression of cell growth, cell cycle arrest at the G2/M phase, and decreased clonogenicity of 2D-cultured GBM cells. Additionally, WT161 acted synergistically with TMZ, induced apoptosis and enhanced TMZ-induced apoptosis. Notably, HDAC6 inhibition resulted in reduced cell migration and invasion, associated with decreased β-catenin levels. When cultured in 3D conditions, WT161-treated T98G spheroids were sensitized to TMZ and exhibited reduced migration. Finally, HDAC6 inhibition altered the metabolome, particularly affecting metabolites associated with lipid peroxidation. In conclusion, our data reveal, for the first time, the efficacy of the selective HDAC6 inhibitor WT161 in a preclinical GBM setting.

Macromolecular glycopeptides are natural products derived from various sources, distinguished by their structural diversity, multifaceted biological activities, and low toxicity. These compounds exhibit a wide range of biological functions, such as immunomodulation, antitumor effects, anti-inflammatory properties, antioxidant activity, and more. However, limited understanding of natural glycopeptides has hindered their development and practical application. To promote their advancement and utilization, it is crucial to thoroughly investigate the pharmacological mechanisms of glycopeptides and address the challenges in natural glycopeptide research. This review uniquely focuses on the primary biological activities and potential molecular mechanisms of glycopeptides as reported in recent literature. Moreover, we emphasize the current challenges in glycopeptide research, including extraction and isolation difficulties, purification challenges, structural analysis complexities, elucidation of structure-activity relationships, characterization of biosynthetic pathways, and ensuring bioavailability and stability. The future prospects for glycopeptide research are also explored. We argue that ongoing research into glycopeptides will significantly contribute to drug development and provide more effective therapeutic options and disease treatment alternatives for human health.

The management of cardiotoxicity related to cancer therapies has emerged as a significant clinical challenge, prompting the rapid growth of cardio-oncology. As cancer treatments become more complex, there is an increasing need to enhance diagnostic and therapeutic strategies for managing their cardiovascular side effects.

This review investigates the potential of artificial intelligence (AI) to revolutionize cardio-oncology by integrating diverse data sources to address the challenges of cardiotoxicity management.

We explore applications of AI in cardio-oncology, focusing on its ability to leverage multiple data sources, including electronic health records, electrocardiograms, imaging modalities, wearable sensors, and circulating serum biomarkers.

AI has demonstrated significant potential in improving risk stratification and longitudinal monitoring of cardiotoxicity. By optimizing the use of electrocardiograms, non-invasive imaging, and circulating biomarkers, AI facilitates earlier detection, better prediction of outcomes, and more personalized therapeutic interventions. These advancements are poised to enhance patient outcomes and streamline clinical decision-making.

AI represents a transformative opportunity in cardio-oncology by advancing diagnostic and therapeutic capabilities. However, successful implementation requires addressing practical challenges such as data integration, model interpretability, and clinician training. Continued collaboration between clinicians and AI developers will be essential to fully integrate AI into routine clinical workflows.

Background: Inhibitors of cyclin-dependent kinases (CDKs) and epigenetic modifier enhancer of zeste homolog 2 (EZH2) have emerged as promising options in the pharmacotherapy of malignant tumors. Recently, we demonstrated synergistic antitumor effects of the CDK4/6 inhibitor abemaciclib and the EZH2 inhibitors GSK126 or tazemetostat in patient-derived glioblastoma (GBM) models. Importantly, all three drugs are substrates of the two most important plasma membrane multidrug transporters ABCB1 and ABCG2, with abemaciclib and tazemetostat also being inhibitors of these proteins. Methods: To investigate whether increased intracellular accumulation of either of the two drugs used in combination could have contributed to corresponding synergisms, we developed a simple LC-MS/MS method for simultaneous detection of the three substances in cell culture lysates. The method was validated in accordance with the current International Council for Harmonization of Technical Requirements for Pharmaceuticals for Human Use (ICH) guideline M10 on bioanalytical method validation and study sample analysis. Results: All acceptance criteria were met. Subsequent analysis of intracellular drug concentrations confirmed increased cellular uptake of tazemetostat in the presence of abemaciclib in both GBM cell lines studied compared to single agent treatment. A comparable pattern was also observed for GSK126, but in only one of the two cell lines used. Conclusions: In conclusion, the observed synergistic antitumor effect could be partly due to increased intracellular accumulation, although this alone is certainly not sufficient to explain it. Overall, the developed method provides a valuable approach for characterizing interactions at the transport level and for predicting the efficiency of both anticancer substance classes in different cell lines.

Totally twelve inhibitors of Survivin and Sp1 based on ursolic acid (UA) derivatives and oleanolic acid (OA) derivatives were designed and synthesized with modification at C-2, C-3 and C-28 of UA and OA. Their structures were confirmed by HRMS,1H NMR and 13C NMR. In vitro activity assay showed that these compounds can inhibit cell proliferation of HeLa, SKOV3, BGC-823 and HT1080 cells, especially compounds IV and X showed better inhibitory activity on these tumor cells than that of the positive control drug Gefitinib and similar to Vp-16. Mechanistically, selected compound may inhibit the proliferation of SKOV3 cells and trigger apoptosis by activating Sp1 to inhibit Survivin protein expression, which may be promising leading compounds for cancer therapy.

Novel approaches to tumor immunotherapy include adoptive cell immunotherapy, immune checkpoint inhibitors (ICIs), and bispecific antibodies (bsABs). bsABs are members of the antibody family that have the ability to distinguish between two distinct antigens or epitopes on a single antigen. These antibodies show better clinical results than monoclonal antibodies, suggesting that they might be a useful choice for tumor immunotherapy. Additionally, dual blockade immunotherapy targeting PD-1/PD-L1 and CTLA-4 functions at various phases of T cell activation with synergistically increasing immune responses against cancer cells, in contrast to ICI monotherapy, which sometimes displays treatment resistance and limited effectiveness. It has been shown that immune response rates and anti-tumor effects may be increased in a synergistic manner by ICI-based combination therapy. We explore the safety and effectiveness of bsABs and ICIs (especially PD1/PDL1 and CTLA-4) combination treatments in tumor immunotherapy in this study with the goal of offering evidence-based methods for clinical research and tailored tumor identification and management.

Hypoxia-inducible factor (HIF)-1 is a transcription factor that regulates the expression of target genes associated with oxygen homeostasis under hypoxic conditions, thereby contributing to tumor development and progression. Accumulating evidence has demonstrated that HIF-1α mediates different biological processes, including tumor angiogenesis, metastasis, metabolism, and immune evasion. Thus, overexpression of HIF-1α is strongly associated with poor prognosis in cancer patients. Natural compounds are important sources of anticancer drugs and studies have emphasized the decisive role of these mediators in modulating HIF-1α. Therefore, the pharmacological targeting of HIF-1α has emerged as a novel cancer therapeutic approach in recent years. The novelty of this review is that it summarizes natural products targeting HIF-1α in colorectal cancer that have not been presented earlier. We studied research publications related to the HIF-1α domain in cancer from 2010 to 2024. However, our main focus was to identify a better targeted approach for colorectal carcinoma management. Our review described HIF-1α role in tumor progression, summarizes the natural compounds employed as HIF-1α inhibitors, and discusses their potential in the development of natural compounds as HIF-1α inhibitors for colorectal cancer treatment.

Cancer, characterized by the uncontrolled proliferation of cells, is one of the leading causes of death globally, with approximately one in five people developing the disease in their lifetime. While many driver genes were identified decades ago, and most cancers can be classified based on morphology and progression, there is still a significant gap in knowledge about genetic aberrations and nuclear DNA damage. The study of two critical groups of genes-tumor suppressors, which inhibit proliferation and promote apoptosis, and oncogenes, which regulate proliferation and survival-can help to understand the genomic causes behind tumorigenesis, leading to more personalized approaches to diagnosis and treatment. Aberration of tumor suppressors, which undergo two-hit and loss-of-function mutations, and oncogenes, activated forms of proto-oncogenes that experience one-hit and gain-of-function mutations, are responsible for the dysregulation of key signaling pathways that regulate cell division, such as p53, Rb, Ras/Raf/ERK/MAPK, PI3K/AKT, and Wnt/β-catenin. Modern breakthroughs in genomics research, like next-generation sequencing, have provided efficient strategies for mapping unique genomic changes that contribute to tumor heterogeneity. Novel therapeutic approaches have enabled personalized medicine, helping address genetic variability in tumor suppressors and oncogenes. This comprehensive review examines the molecular mechanisms behind tumor-suppressor genes and oncogenes, the key signaling pathways they regulate, epigenetic modifications, tumor heterogeneity, and the drug resistance mechanisms that drive carcinogenesis. Moreover, the review explores the clinical application of sequencing techniques, multiomics, diagnostic procedures, pharmacogenomics, and personalized treatment and prevention options, discussing future directions for emerging technologies.

Gene therapy, epigenetic therapies, natural compounds targeted therapy, photodynamic therapy, nanoparticles, and precision medicines are becoming available to diagnose and treat cancer. Gracillin, a natural steroidal saponin extracted from herbs, has shown potent efficacy against a range of malignancies. In this study, we investigated the molecular anticancer mechanisms of gracillin. We showed that gracillin dose-dependently suppressed proliferation, migration, and invasion in breast cancer, liver cancer, and glioblastoma cells with IC50 values around 1 μM, which were associated with MST-independent activation of Hippo signaling pathway and subsequent decreased YAP activity. We demonstrated that gracillin activated the Hippo signaling by inducing Merlin/LATS protein-protein interaction (PPI). A competitive inhibitory peptide (SP) derived from the binding interface of the PPI, disrupted the interaction, abolishing the anticancer activity of gracillin. In nude mice bearing MDA-MB-231, HCCLM3, or U87MG xenograft tumor, administration of gracillin (5, 10 mg·kg-1·d-1, i.g. for 21 days) dose-dependently suppressed the tumor growth, associated with the induced Merlin/LATS PPI, activated Hippo signaling, as well as decreased YAP activity in tumor tissues. Our data demonstrate that gracillin is an efficacious therapeutic agent for cancer treatment, induction of Merlin/LATS PPI might provide proof-of-concept in developing therapeutic agent for cancer treatment.

Targeted therapy has emerged as a transformative breakthrough in modern medicine. Oligonucleotide drugs, such as antisense oligonucleotides (ASOs) and small interfering RNAs (siRNAs), have made significant advancements in targeted therapy. Other oligonucleotide-based therapeutics like clustered regularly interspaced short palindromic repeat (CRISPR)/CRISPR-associated protein (Cas) systems are also leading a revolution in targeted gene therapy. However, hybridisation-dependent off-target effects, arising from imperfect base pairing, remain a significant and growing concern for the clinical translation of oligonucleotide-based therapeutics. These mismatches in base pairing can lead to unintended steric blocking or cleavage events in non-pathological genes, affecting the efficacy and safety of the oligonucleotide drugs. In this review, we examine recent developments in oligonucleotide-based targeted therapeutics, explore the factors influencing sequence-dependent targeting specificity, and discuss the current approaches employed to reduce the off-target side effects. The existing strategies, such as chemical modifications and oligonucleotide length optimisation, often require a trade-off between specificity and binding affinity. To further address the challenge of hybridisation-dependent off-target effects, we discuss DNA nanotechnology-based strategies that leverage the collaborative effects of nucleic acid assembly in the design of oligonucleotide-based therapies. In DNA nanotechnology, collaborative effects refer to the cooperative interactions between individual strands or nanostructures, where multiple bindings result in more stable and specific hybridisation behaviour. By requiring multiple complementary interactions to occur simultaneously, the likelihood of unintended partially complementary binding events in nucleic acid hybridisation should be reduced. And thus, with the aid of collaborative effects, DNA nanotechnology has great promise in achieving both high binding affinity and high specificity to minimise the hybridisation-dependent off-target effects of oligonucleotide-based therapeutics.

Cancer still represents a global health concern due to its high mortality and morbidity rates. Isatin-and pyrazole-based compounds have recently garnered interest as novel anticancer agents. A series of 15 novel spiroisatin pyranopyrazole derivatives were synthesized. Anticancer potential of synthesized agents against EBC-1, HT-29, A549, and AsPC-1 cell lines, representing cancers of the lung, colon, and pancreas, were evaluated using the MTT assay. The possible molecular mechanism contributing to antiproliferative activities of the most potent compounds was further investigated in silico by using SuperPred web server, a ligand-based tool. Docking and molecular dynamics (MD) simulation studies were carried out to investigate the binding affinity and key interactions of the agents with their predicted target. Among the tested compounds, four cyanide-containing derivatives 6c, 6d, 6f, and 6g with bromobenzyl, chlorobenzyl, p-tButyl benzyl and methylbenzyl moieties on the isatin ring, respectively, displayed the highest antiproliferative effects against all four cell lines. These compounds were particularly effective against EBC-1, and HT-29 cells with IC50 values of 3.3-7.1 and 7.3-10.2 μΜ, respectively, while relatively sparing non-cancer cells. The obtained target prediction results suggested that the growth inhibitory activity of the analyzed analogues could be related to tropomyosin receptor kinase C (TrkC) inhibition. The outcomes of molecular docking and MD simulation demonstrated that the most active agents may interact closely with the active site of the suggested target, further confirming target prediction findings. The findings of this study suggest the potential of spiroisatin pyranopyrazole analogues for further exploration as novel targeted anticancer agents.

Colon adenocarcinoma (COAD) is a leading cause of cancer-related mortality worldwide. Transient receptor potential vanilloid 4 (TRPV4), a calcium-permeable non-selective cation channel, has been implicated in various cancers, including COAD. This study investigates the role of TRPV4 in colon adenocarcinoma and elucidates its potential mechanism via the ferroptosis pathway.

Gene expression profiles and clinical data were obtained from The Cancer Genome Atlas (TCGA), encompassing 647 colon adenocarcinoma tissue samples and 51 normal colorectal tissue samples. Ferroptosis-related genes were retrieved from the FerrDb database. Differential expression analysis, survival analysis, and Cox proportional hazards regression were performed to assess the prognostic significance of TRPV4. Protein-protein interaction networks and gene enrichment analyses (GO and KEGG) were conducted to explore functional associations. In vitro experiments were carried out using HT-29 and SW480 colon cancer cell lines. TRPV4 was knocked down using siRNA, and cell viability was assessed via hematoxylin and eosin (HE) staining. Immunofluorescence assays evaluated the expression of ferroptosis-related proteins (SLC3A2, GPX4) and proliferation markers (KI67, SRC, CTNNB1, COL1).

TRPV4 expression was significantly elevated in colon adenocarcinoma tissues compared to normal tissues (p < 0.05), demonstrating high diagnostic accuracy (AUC = 0.848). High TRPV4 expression correlated with poorer overall survival (OS) and disease-specific survival (DSS), particularly in patients over 65 years old and those in clinical stage II. Cox regression analysis confirmed TRPV4 as an independent prognostic factor (HR = 1.395, p = 0.074). Bioinformatics analyses revealed that TRPV4 is closely associated with ferroptosis-related genes, participating in key biological processes such as responses to external stimuli, oxidative stress, and cell adhesion. In vitro, TRPV4 knockdown significantly reduced cell viability (p < 0.05) and decreased expression levels of SLC3A2, GPX4, KI67, SRC, and COL1 (p < 0.05). The addition of the ferroptosis inhibitor FER-1 did not restore cell viability in TRPV4 knockdown cells, suggesting that TRPV4 modulates cell survival through the ferroptosis pathway.

The bioinformation and in vitro experiments inTRPV4 and ferroptosis-related genes support the hypothesis that TRPV4 influences tumor cell survival via the ferroptosis pathway. The inability of FER-1 to rescue viability in TRPV4-deficient cells further confirms this mechanism. These findings provide novel insights into the molecular mechanisms of COAD and highlight TRPV4 as a potential therapeutic target.

TRPV4 is significantly upregulated in COAD and is associated with unfavorable patient outcomes. It appears to promote tumor progression by regulating the ferroptosis pathway, affecting the expression of key ferroptosis-related genes and proliferation markers. Targeting TRPV4 may offer a new therapeutic approach for COAD, and further research is warranted to explore its role in other cancers and to develop TRPV4-based therapies.

Elevated levels of the enzyme GPX4 have been detected in tumor tissues, which may play a role in cancer progression. We did a meta-analysis of eight studies encompassing 1180 individuals to evaluate the importance of GPX4 in cancer, particularly in terms of prognosis and clinicopathological characteristics. Research results indicate that higher levels of GPX4 were linked to worse overall survival (OS) (HR = 1.47 [95%CI = 1.18-1.76], p < .001). Elevated levels of GPX4 were linked to lymph node invasion (OR.69 [95% CI.44-1.10], p =.12), metastasis (OR 1.58 [95% CI.97-2.55], p =.06, p <.0001), and advanced clinical stage III-IV (OR.82 [95% CI.70-.96], p =.001). A sensitivity study revealed that the general findings were constant across all levels of impact intensity. The findings of this meta-analysis suggest that increased GPX4 levels are not only correlated with reduced overall survival rates for patients with tumors but it also offers valuable insights regarding the clinical traits of tumor malignancy and metastasis. Based on these connections, GPX4 has the potential to serve as a biomarker for tumor detection, prognosis, and targeted therapy.

Non-small cell lung cancer (NSCLC) is a frequent type of lung cancer. Transcription factor Yin Yang 1 (YY1), an endogenous transcription factor containing zinc finger structure, can accelerate NSCLC progression. However, the impact of YY1 on the stemness of NSCLC cells and the mechanism of promoting NSCLC cell progression is unclear. YY1 and Sonic hedgehog (Shh) expressions were monitored by RT-qPCR, western blot, and immunohistochemistry. Overall survival was tested through Kaplan-Meier analysis. The interaction between YY1 and Shh was confirmed. Then, cell migration, stemness, and epithelial-mesenchymal transition (EMT) were assessed with functional experiments in vitro and in vivo. YY1 and Shh were highly expressed in NSCLC tissues and positively correlated with the poor OS of NSCLC patients. Functional experiments denoted that YY1 or Shh overexpression could accelerate EMT, migration, and stemness of NSCLC cells, and YY1 or Shh knockdown played the opposite role to its overexpression. Mechanism analysis disclosed that Shh, as a target gene of YY1, was positively related to YY1. The rescued experiment manifested that Shh silencing could reverse the induction effect of YY1 overexpression on EMT, migration, and stemness of NSCLC cells. In vivo experiments also confirmed that YY1 could accelerate tumor growth and EMT and weaken apoptosis. YY1 promotes NSCLC EMT, migration, and stemness by Shh, which might be novel diagnostic markers and therapeutic targets for NSCLC therapy.

Tumor heterogeneity remains a formidable obstacle in targeted cancer therapy, often leading to suboptimal treatment outcomes. This study presents an innovative approach that harnesses controlled inflammation to guide neutrophil-mediated drug delivery, effectively overcoming the limitations imposed by tumor heterogeneity. By inducing localized inflammation within tumors using lipopolysaccharide, it significantly amplify the recruitment of drug-laden neutrophils to tumor sites, irrespective of specific tumor markers. This strategy not only enhances targeted drug delivery but also triggers the release of neutrophil extracellular traps, further potentiating the anti-tumor effect. Crucially, this study demonstrates that potential systemic inflammatory responses can be effectively mitigated through neutrophil transfusion, ensuring the safety and clinical viability of this approach. In a murine breast cancer model, the method significantly impedes tumor growth compared to conventional treatments. This work offers a versatile strategy for precise drug delivery across diverse tumor types. The findings pave the way for more effective and broadly applicable cancer treatments, potentially addressing the long-standing challenge of tumor heterogeneity.

Small-molecule compounds exhibit distinct pharmacological properties and clinical effectiveness. Over the past decade, advances in covalent drug discovery have led to successful small-molecule drugs, such as EGFR, BTK, and KRAS (G12C) inhibitors, for cancer therapy. Researchers are paying more attention to refining drug screening methods aiming for high throughput, fast speed, high specificity, and accuracy. Therefore, the discovery and development of small-molecule drugs has been facilitated by significantly reducing screening time and financial resources, and increasing promising lead compounds compared with traditional methods. This review aims to introduce classical and emerging methods for screening small-molecule compounds in targeted cancer therapy. It includes classification, principles, advantages, disadvantages, and successful applications, serving as valuable references for subsequent researchers.