The primary treatment for hepatocellular carcinoma (HCC) involves surgical removal of the primary tumor, but this creates a favorable environment for the proliferation and spread of residual and circulating cancer cells. The development of remimazolam-based balanced anesthesia is crucial for future antitumor applications. It is important to understand the mechanisms of cytotoxicity for HCC in detail.

We performed cell viability analysis, western blotting analysis, reverse transcription-polymerase chain reaction analysis, and flow cytometry analysis in two HCC cell lines, HepG2 and Hep3B cells.

Our data demonstrated that remimazolam induced cytotoxicity by suppressing cell proliferation, inhibiting G1 phase progression, and affecting mitochondrial reactive oxygen species (ROS) levels, leading to apoptosis, DNA damage, cytosolic ROS elevation, lipid peroxidation, autophagy, mitochondrial depolarization, and endoplasmic reticulum stress. Inhibitors of apoptosis, autophagic cell death, and ferroptosis and a ROS scavenger failed to rescue cell death caused by remimazolam besylate. Our combination index revealed that remimazolam besylate has the potential to act as a sensitizer for targeted tyrosine kinase inhibitor therapy for HCC.

Our findings open up new possibilities for combinatory HCC therapy using remimazolam, leveraging its dual functional roles in surgery and drug therapy for liver cancers.

Effective cancer immune therapy requires the orchestration of antigen induction, presentation and T-cell activation, further enhanced by anti-angiogenesis treatment; therefore, multiple therapeutics are generally used for such combination therapy. Herein, we report esterase-hydrolysable cationic polymers, N-[3-((4-acetoxy benzyl) oxy)-3-oxopropyl]-N-methyl-quaternized PEI (ERP) and poly{N-[2-(acryloyl-oxy) ethyl]-N-[p-acetyloxyphenyl]-N,N-dimethylammonium chloride} (PQDMA), capable of simultaneously inducing tumor cell immunogenic cell death (ICD) to release antigens, activating the cGAS-STING pathways of tumor macrophages and dendritic cells, and releasing antiangiogenic agent p-hydroxybenzyl alcohol (HBA). Thus, intratumoral injection of ERP or PQDMA systemically boosted the anti-cancer immunities and inhibited tumor angiogenesis in mouse hepatocellular carcinoma and melanoma bilateral tumor models, leading to more effective tumor growth inhibition of both treated and abscopal untreated tumors than ICD alone induced by mitoxantrone and control cationic polymers. Further study using gene knockout mice and transcriptome sequencing analysis confirmed the involvement of cGAS-STING and type I IFN signaling pathways. This work demonstrates ERP and PQDMA as the first examples of inherent therapeutic polymers, accomplishing systemic tumor inhibition without combining other therapeutic agents.

Cancer is a significant contributor to mortality worldwide, posing a significant threat to human life and health. The unique bioactivity, ability to precisely control drug release, and minimally invasive properties of hydrogels are indispensable attributes that facilitate optimal performance in cancer therapy. However, conventional hydrogels lack the ability to dynamically respond to changes in the surrounding environment, withstand drastic changes in the microenvironment, and trigger drug release on demand. Therefore, this review focuses on smart-responsive hydrogels that are capable of adapting and responding to external stimuli. We comprehensively summarize the raw materials, preparation, and cross-linking mechanisms of smart hydrogels derived from natural and synthetic materials, elucidate the response principles of various smart-responsive hydrogels according to different stimulation sources. Further, we systematically illustrate the important role played by hydrogels in modern cancer therapies within the context of therapeutic principles. Meanwhile, the smart hydrogel that uses machine learning to design precise drug delivery has shown great prospects in cancer therapy. Finally, we present the outlook on future developments and make suggestions for future related work. It is anticipated that this review will promote the practical application of smart hydrogels in cancer therapy and contribute to the advancement of medical treatment.

The pathogenesis of hepatocellular carcinoma (HCC) is characterized by its complexity and diversity, involving processes such as glycolysis, autophagy, and cellular immunity. Notably, the role of ERK/ULK1/NCOA4-mediated inhibition of iron autophagy in HCC pathogenesis has not been previously reported. This study provides a novel elucidation of HCC pathogenesis and identifies the clinical adjuvant therapy drug, Epimedium, as a potential treatment based on this mechanism. The research clarifies the regulatory effects of Epimedium on the ERK/ULK1/NCOA4-mediated inhibition of iron autophagy pathway in the treatment of HCC, thereby offering a scientific foundation for clinical treatment strategies and the development of innovative drugs.

The objective of this study is to uncover a new aspect of HCC pathogenesis, ERK/ULK1/NCOA4-mediated inhibition of iron autophagy, and to screen for clinical targeted adjuvant therapy drugs based on this mechanism.

A HCC rat model was induced with N-Nitrosodiethylamine (DEN). The physiological status of the HCC rats was assessed through indicators such as body weight and organ index. Liver damage in HCC rats was evaluated using hematoxylin and eosin (HE) staining and biochemical markers. Additionally, untargeted metabolomics was employed to explore the pathogenesis of HCC. UPLC-Q-TOF-MS combined with network pharmacology was employed to elucidate novel mechanisms, predict pathway targets, filtrate active ingredients and analyze the biological processes and signaling pathways modulated by EPME. DEN liver cancer rats were treated with different concentrations of EPME and protein expression levels were assessed by Western blot analysis. Molecular docking techniques were utilized to assess the binding affinity between the core components of EPME and target proteins. A HepG2 liver cancer in vitro model, in combination with inhibitor (SBI-0206965), was employed to verify the modulatory effects of EPME and its active ingredients on the ERK/ULK1/NCOA4 signaling pathway. Microscale thermophoretic (MST) was employed to verify the binding ability of the EPME core components to the ULK1 protein.

Metabolomics combined with network pharmacology revealed a novel pathogenesis of HCC, which is ERK/ULK1/NCOA4-mediated iron autophagy inhibition. EPME can activate iron autophagy mediated by ERK/ULK1/NCOA4 through active ingredients such as icaritin, astragalin, and emodin, thereby enhancing the survival conditions of HCC-afflicted rats and mitigating liver damage and carcinogenesis, ultimately achieving therapeutic outcomes in HCC treatment.

The ERK/ULK1/NCOA4-mediated iron autophagy inhibition represents a novel therapeutic mechanism for HCC. The clinical adjuvant drug EPME may exert therapeutic effects on HCC by activating ERK/ULK1/NCOA4-mediated iron autophagy.

Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality, emphasizing the urgent need for novel therapeutic strategies. In this study, we investigate the anti-tumor potential of CC-885, a cereblon (CRBN) modulator known for its efficacy in targeting neoplastic cells through proteasomal degradation pathways. Our findings demonstrate that CC-885 exhibits potent anti-tumor activity against HCC. In vitro assays revealed that CC-885 significantly inhibits the proliferation, migration, and invasion of HCC cells. These effects were corroborated in vivo, where CC-885 markedly suppressed tumor growth and angiogenesis in chick embryos and impeded the progression of orthotopic liver tumors in murine models. Mechanistically, CC-885 selectively reduces GOLM1 protein levels via ubiquitin-mediated proteasomal degradation. Knockdown of GOLM1 recapitulated the anti-proliferative effects of CC-885, while overexpression of GOLM1 conferred resistance to CC-885-induced apoptosis and growth inhibition. Further investigation revealed that CC-885 facilitates the interaction between GOLM1 and the E3 ubiquitin ligase CRBN, promoting the ubiquitination and subsequent degradation of GOLM1. Transcriptomic analyses showed that both CC-885 treatment and GOLM1 knockdown modulate critical pathways involved in apoptosis. These findings position CC-885 as a promising therapeutic candidate for HCC, acting primarily through CRBN-dependent degradation of GOLM1, and support its further development for clinical application.

The maintenance of telomere length by telomerase plays an essential role in senescence, aging, and cancer. Mutations in the TERT promoter, a telomerase subunit, are frequent in human cancers. In hepatocellular carcinoma (HCC), telomere shortening contributes to preneoplastic conditions such as cirrhosis. Telomerase activation during cirrhosis may reduce chromosomal instability, while its suppression in early dysplastic nodules may prevent hepatocarcinogenesis. Evidence suggests that bioactive food compounds (BFCs) can reduce the incidence and/or delay the onset of HCC by modulating telomerase activity. A systematic review was conducted on the role of BFCs in telomerase activity during hepatocarcinogenesis. BFCs were analyzed in isolated form or as part of extracts and categorized into fatty acids, isoprenoids, isothiocyanates, and phenolic compounds. Despite structural diversity, BFCs modulate telomerase through common mechanisms, including inhibition of activating proteins at the TERT promoter, activation of nuclear receptors, or histone H3 hyperacetylation. Indirectly, telomerase can also be modulated via activation of antioxidant defense pathways. Understanding telomerase reactivation and its modulation by BFCs is key to establishing effective HCC chemoprevention strategies targeting telomerase.

Progesterone and adipose Q receptor 5 (PAQR5), a membrane receptor characterized by seven transmembrane domains, has been indirectly implicated in pro-carcinogenic activities, though its specific role in hepatocellular carcinoma (HCC) remains to be defined.

This study aimed to elucidate the molecular mechanisms by which PAQR5 facilitates HCC progression and contributes to the immunosuppressive microenvironment through an integrative approach combining multi-omics analysis and experimental validation. Utilizing data from bulk, single-cell, and spatial transcriptomics cohorts, this study systematically assessed the expression patterns, immune landscape, and functional characteristics of PAQR5 across different levels of resolution in HCC.

PAQR5 expression was significantly upregulated in tumor tissues and correlated with poor clinical outcomes. Enrichment analysis revealed that PAQR5 activated the NF-κB signaling pathway in HCC. Single-cell transcriptomics identified PAQR5 as predominantly localized within malignant cell clusters, with significant association with NF-κB pathway activation. Spatial transcriptomics further corroborated the alignment of PAQR5 expression with tumor cell distribution. In vitro assays showed elevated PAQR5 levels in HCC cell lines, and silencing PAQR5 significantly suppressed cell proliferation, invasion, epithelial-mesenchymal transition (EMT), and prevented the formation of immunosuppressive microenvironment. In vivo studies demonstrated that targeting PAQR5 attenuated tumorigenic potential, disrupted the invasion-metastasis cascade and inhibited the tumor immune escape. Mechanistically, PAQR5 was found to activate NF-κB signaling by inducing ERK phosphorylation, thereby driving proliferation, invasion, EMT, and immune escape in HCC through the pathway.

NCOA5 has been identified as a crucial factor in the progression of hepatocellular carcinoma (HCC). This study investigates the expression of NCOA5 in HCC, revealing its significant overexpression in tumor tissues compared to healthy liver tissues, as evidenced by analysis of the TCGA dataset and RT-qPCR in patient samples. Higher NCOA5 levels correlate with poor overall survival, highlighting its role as a prognostic indicator. Furthermore, our findings suggest that elevated NCOA5 is associated with resistance to sorafenib, a common chemotherapeutic agent for HCC, as shown through analysis of publicly available datasets and the establishment of sorafenib-resistant HCC cell lines. Mechanistically, NCOA5 appears to inhibit ferroptosis in HCC cells by modulating glutathione peroxidase 4 (GPX4) levels. Knockdown of NCOA5 sensitizes resistant cell lines to sorafenib and induces ferroptosis by decreasing GPX4 expression. Additionally, NCOA5 regulation of GPX4 is mediated through the transcription factor MYC. In vivo studies further validate that targeting NCOA5 enhances the efficacy of sorafenib in resistant HCC models by promoting ferroptosis. Collectively, these findings underscore the potential of NCOA5 as a therapeutic target to overcome drug resistance in HCC, providing insights into its role in modulating treatment responses and patient prognosis.

Hepatocellularcarcinoma (HCC), the primary form of liver cancer, is the second leading cause of cancer-related deaths worldwide. Current therapies have limited effectiveness, particularly in advanced stages of the disease, highlighting the need for innovative treatment options. Small-interfering RNA(siRNA) molecules show great promise as a therapeutic solution since they can inhibit the expression of genes promoting HCC growth. Their cost-effective synthesis has further encouraged their potential use as novel drugs. However, siRNAs are vulnerable to degradation in biological environments, necessitating protective delivery systems. Additionally, targeted delivery to HCC is critical for optimal efficacy and minimal undesired side effects.

This review addresses the challenges associated with the delivery of siRNA toHCC, discussing and focusing on delivery systems based on lipid and polymeric nanoparticles in publications from the past five years.

Future nano particles will need to effectively cross the vessel wall, migrate through the extracellular matrix and finally cross the HCC cell membrane. This may be achieved by optimizing nanoparticle size, the equipment of nanoparticles withHCC targeting moieties and loading nanoparticles with siRNAs againstHCC-specific oncogenes.

This study aimed to investigate the expression of BEND3 in hepatocellular carcinoma (HCC), its correlation with clinical characteristics, and its functional and mechanistic impacts on HCC progression.

Bioinformatics analyses identified BEND3 as highly expressed in HCC and associated with poor clinical prognosis, which was further validated using qRT-PCR, western blotting and immunohistochemistry. Stable BEND3-overexpressing and silenced cell lines were constructed to evaluate its functional effects. CCK-8 and colony formation assays assessed its influence on cell proliferation, while wound healing and Transwell assays evaluated its role in migration and invasion. WB and immunofluorescence were employed to analyze the effects of BEND3 on epithelial-mesenchymal transition (EMT) and the PI3K/AKT/mTOR signaling pathway.

Public database analysis, alongside qRT-PCR, western blotting, and immunohistochemical, confirmed that BEND3 expression is significantly elevated in HCC tissues compared to normal liver tissues and is closely associated with poor prognosis. Functional assays demonstrated that BEND3 promotes HCC cell proliferation, migration, and invasion. Mechanistic studies revealed that BEND3 drives HCC progression by inducing EMT and activating the PI3K/AKT/mTOR signaling pathway.

BEND3 is highly expressed in HCC and strongly correlates with poor clinical outcomes. Functional and mechanistic analyses indicate that BEND3 enhances HCC progression by promoting proliferation, migration and invasion via EMT induction and PI3K/AKT/mTOR pathway activation.

Actionable candidates of hepatocarcinogenesis remain elusive, and tools for early detection are suboptimal. Our aim was to demonstrate that serum metabolome profiles reflect the initiation of hepatocellular carcinoma (HCC) and enable the identification of biomarkers for early HCC detection and actionable candidates for chemoprevention.

This global cohort study included 654 patients and 801 biospecimens. Following serum metabolome profiling across the spectrum of hepatocarcinogenesis, we conducted a phase II biomarker case-control study for early HCC detection. Findings were independently validated through in silico analysis, mRNA sequencing, and proteome profiling of primary HCC and non-tumoral tissue, and in vitro experiments.

Aspartic acid, glutamic acid, taurine, and hypoxanthine were differentially abundant in the serum across chronic liver disease, cirrhosis, initial HCC, and progressed HCC, independent of sex, age, and etiology. In a phase II biomarker case-control study, a blood-based metabolite signature yielded an AUC of 94% to discriminate between patients with early-stage HCC and controls with cirrhosis, including independent validation. Unsupervised biclustering (MoSBi), lipid network analysis (LINEX2), and pathway enrichment analysis confirmed alterations in amino acid-, lipid-, and nucleotide-related pathways. In tumor tissue, these pathways were significantly deregulated regarding gene and protein expression in two independent datasets, including actionable targets RRM2, GMPS, BCAT1, PYCR2, and NEU1. In vitro knockdown confirmed a functional role in proliferation and migration, as exemplified for PYCR2.

These findings demonstrate that serum metabolome profiling indicates deregulated metabolites and pathways during hepatocarcinogenesis. Our liquid biopsy approach accurately detects early-stage HCC outperforming currently recommended surveillance tools and facilitates identification of actionable candidates for chemoprevention.

Deregulated cellular metabolism is a hallmark of cancer. In smaller studies, circulating metabolite profiles have been associated with HCC, although mainly in the context of fatty liver disease. Translation strategies for primary prevention or early detection are lacking. In this global study, we present an unsupervised landscape of the altered serum metabolome profile during hepatocarcinogenesis, independent of age, sex, and etiology. We provide a blood-based metabolite signature that accurately identifies early-stage HCC in a phase II biomarker study including independent validation. Further RRM2, GMPS, BCAT1, PYCR2, and NEU1 are identified in tumor tissue as actionable candidates for prevention. Our data provide the rationale for clinical trials testing liquid biopsy metabolome-based signatures for early HCC detection and the development of chemoprevention strategies.

Quercetin is a natural product with multiple activities, which possesses a promising antitumor effect on malignancies. The involvement of proline 4-hydroxylase II (P4HA2) in collagen synthesis is crucial in the growth of tumor cells. Apoptosis is a programmed cell death requisite for the stability of the intracellular environment. However, the relationship between quercetin and cell apoptosis, as well as the impact of P4HA2 in this connection, has not yet been specified in hepatocellular carcinoma(HCC).

The present study used HCC cells to investigate how quercetin regulates P4HA2 and influences cell proliferation and apoptosis.

The outcomes reveal that quercetin can impede the viability and growth of HCC cells and generate cell apoptosis in a dose-dependent manner. Additionally, quercetin prompts downregulation of P4HA2, leading to cell apoptosis in HCC cells, and knocking down P4HA2 can enhance this effect. Furthermore, we pretreated HCC cells with inhibitors (Z-VAD-FMK, LY294002) or activators (740Y-P) and found that the PI3K/Akt/mTOR pathway was occupied with quercetin-induced cell apoptosis.

This investigation reveals that quercetin compels apoptosis in HCC cells by diminishing P4HA2 and restraining the PI3K/Akt/mTOR axis.

Hepatocellular carcinoma (HCC) is the predominant form of primary liver cancer, accounting for 90% of all cases. Currently, early diagnosis of HCC can be achieved through serum alpha-fetoprotein detection, B-ultrasound, and computed tomography scanning; however, their specificity and sensitivity are suboptimal. Despite significant advancements in HCC biomarker detection, the prognosis for patients with HCC remains unfavorable due to tumor heterogeneity and limited understanding of its pathogenesis. Therefore, it is crucial to explore more sensitive HCC biomarkers for improved diagnosis, monitoring, and management of the disease. Long non-coding RNA (lncRNA) serves as an auxiliary carrier of genetic information and also plays diverse intricate regulatory roles that greatly contribute to genome complexity. Moreover, investigating gene expression regulation networks from the perspective of lncRNA may provide insights into the diagnosis and prognosis of HCC. We searched the PubMed database for literature, comprehensively classified regulated cell death mechanisms and systematically reviewed research progress on lncRNA-mediated cell death pathways in HCC cells. Furthermore, we prospectively summarize its potential implications in diagnosing and treating HCC.

Hepatocellular carcinoma (HCC) is a leading cause of cancer mortality. RNA-binding proteins (RBPs) are potential therapeutic targets because of their role in tumor progression. This study investigated the interactions between specific HCC progression-associated RBPs (HPARBPs), namely, ILF3, PTBP1, U2AF2, NCBP2, RPS3, and SSB, in HCC and their downstream targets, as well as their impact on the immune microenvironment and their clinical value.

Tissue samples from human HCC, collected from 28 patients who experienced recurrence following postoperative adjuvant therapy were examined. The mRNA levels of RBPs and their prospective targets were quantified through RNA isolation and quantitative real-time PCR. Data from two public datasets were scrutinized for both expression and clinical relevance. Through Student's t test and logistic regression, HPARBPs were identified. Enhanced cross-linking immunoprecipitation (eCLIP) experiments revealed RBP-RNA interactions in HepG2 cells. For functional enrichment, Metascape was used, whereas CIBERSORT was used to characterize the immune microenvironment.

Public database analysis confirmed widespread RBP expression abnormalities in HCC (false discovery rate < 0.00001 and fold change ≥ 1.15 or ≤ 0.85), leading to the identification of 42 HPARBPs and core modules. eCLIP data analysis revealed the specificity of downstream target genes and binding site features for core HPARBPs (signal value > 3, P value < 0.01). Four core HPARBPs may bind to RNAs of genes in the RSPO-LGR4/5-ZNRF3/RNF43 module, affecting the Wnt pathway and HCC progression. Immunoinfiltration analysis revealed changes in the HCC immune microenvironment due to altered expression of relevant genes.

In our study, we identified core HPARBPs that might contribute to HCC progression by binding to RNAs in the RSPO-LGR4/5-ZNRF3/RNF43 module. Changes in the expression of HPARBPs affect the HCC immune microenvironment. Our findings offer novel insights into the regulatory network of Wnt pathway-related RBPs and their potential clinical value in HCC.

Hepatocellular carcinoma (HCC) is a major contributor to cancer-related deaths globally. The progression of HCC is influenced by a range of intrinsic and extrinsic factors, necessitating further research into the molecular mechanisms involved. While Regulator of G-protein Signaling 14 (RGS14) has shown emerging roles in cancer biology, its function in HCC remains poorly characterized.

RGS14 expression and clinical significance were analyzed using TCGA-LIHC, HCCDB, and GEO datasets. Immunofluorescence (IF) staining was employed to validate protein expression. Functional assays, including cell proliferation, migration, invasion, and in vivo xenograft models, were conducted to assess the oncogenic role of RGS14. Bulk-mRNA sequencing was performed using in situ tumor tissues to identify RGS14-regulated pathways.

RGS14 was significantly upregulated in HCC tissues and positively associated with poor patient outcomes. In vitro experiments demonstrated that RGS14 enhanced HCC cell proliferation, migration, and invasion, while in vivo studies confirmed its tumor-promoting effects. Mechanistically, RGS14 activated the extracellular matrix (ECM)-receptor interaction pathway to drive HCC progression.

Our findings suggest that RGS14 could serve as a novel prognostic marker and therapeutic target for HCC, contributing to improved treatment strategies.

Hepatocellular carcinoma (HCC) is the main phenotype of liver cancer with a poor prognosis. Copper is vital in liver function, and HCC cells rely on it for growth and metastasis, leading to cuproplasia. Excessive copper can induce cell death, termed cuproptosis. Tumor microenvironment (TME) is pivotal in HCC, especially in immunotherapy, and copper is closely related to the TME pathogenesis. However, how these two mechanisms contribute to the TME is intriguing.

We conducted the latest progress literature on cuproplasia and cuproptosis in HCC, and summarized their specific roles in TME and treatment strategies. The mechanisms of cuproplasia and cuproptosis and their relationship and role in TME have been deeply summarized. Cuproplasia fosters TME formation, angiogenesis, and metastasis, whereas cuproptosis may alleviate mitochondrial dysfunction and hypoxic conditions in the TME. Inhibiting cuproplasia and enhancing cuproptosis in HCC are essential for achieving therapeutic efficacy in HCC.

An in-depth analysis of cuproplasia and cuproptosis mechanisms within the TME of HCC unveils their opposing nature and their impact on copper regulation. Grasping the equilibrium between these two factors is crucial for a deeper understanding of HCC mechanisms to shed light on novel directions in treating HCC.

Perturbation of mRNA splicing is commonly observed in human cancers and plays a role in various aspects of cancer hallmarks. Understanding the mechanisms and functions of alternative splicing (AS) not only enables us to explore the complex regulatory network involved in tumour initiation and progression but also reveals potential for RNA-based cancer treatment strategies. This review provides a comprehensive summary of the significance of AS in liver cancer, covering the regulatory mechanisms, cancer-related AS events, abnormal splicing regulators, as well as the interplay between AS and post-transcriptional and post-translational regulations. We present the current bioinformatic approaches and databases to detect and analyse AS in cancer, and discuss the implications and perspectives of AS in the treatment of liver cancer.

Rapid development of resistance to sorafenib and subsequent hyperprogression in patients with advanced hepatocellular carcinoma (HCC) pose significant challenges, with the underlying mechanisms still largely unknown. Herein, sorafenib-induced TRIB3 is identified as a liver-specific determinant driving secondary resistance to sorafenib by facilitating the accumulation of protumorigenic neutrophils within tumors. Mechanistically, TRIB3, triggered by the sorafenib-elicited ROS-ER stress axis, operates in an NF-κB-dependent manner to upregulate CXCR1/2 ligands, subsequently promoting neutrophil recruitment into tumors. These enriched neutrophils enhance epithelial-mesenchymal transition processes in malignant cells through the oncostatin M-STAT3 pathway, thereby repurposing the therapeutic efficacy of sorafenib away from anti-angiogenesis and toward lung metastasis. Clinically, elevated TRIB3 expression indicates inferior survival and unfavorable clinical efficacy of sorafenib in HCC patients. Correspondingly, strategies that either inhibiting TRIB3 upregulation or blocking its downstream signaling successfully augment the therapeutic efficacy of sorafenib and prevent sorafenib-induced hyperprogression in vivo. The study thus identifies a pivotal mechanism of sorafenib resistance in HCC, centered on the TRIB3-mediated recruitment of protumorigenic neutrophils and subsequent disease hyperprogression.

The distinction of focal nodular hyperplasia (FNH) and hepatocellular adenoma (HCA) from well-differentiated hepatocellular carcinoma (WD-HCC) in noncirrhotic liver can be challenging. High-grade dysplastic nodule (HGDN) in cirrhosis can have overlapping features with WD-HCC. In some cases, HCA diagnosis is evident but glutamine synthetase (GS) staining is indeterminate for β-catenin activation, which does not allow reliable risk assessment. This study examines the role of genomic analysis in better categorization of WD hepatocellular lesions (WDHL).

Genomic analysis using capture-based NGS assay was done in 23 WDHLs that could not be definitely classified based on morphology, reticulin stain and IHC, and were designated as 'atypical hepatocellular neoplasms' (AHNs). GS staining was classified as diffuse homogeneous (moderate to strong staining in >90 % of tumor cells), diffuse heterogeneous (50-90 %), not diffuse (<50 %) and borderline (not clear if more or less than 50 %).

The genomic profile provided additional information for the diagnosis and/or risk assessment enabling a benign diagnosis in 15/23 cases (66 %) and HCC in 4/23 cases (17 %), while the diagnosis remained as atypical in the remaining 4 cases. Of the 4 cases with final HCC diagnosis, findings were suspicious but not diagnostic based on morphology/IHC; additional changes like TERT promoter mutation (n = 2), AXIN mutation (n = 1), CDKN2A loss (n = 2) and copy number alterations (n = 3) helped to support HCC. Of the 15 cases with a final benign diagnosis, the status of β-catenin activation was unclear based on GS stain in 8 cases, 2 of which showed CTNNB1 exon 7 mutation, 1 showed CTNNB1 exon 8 mutation, while genomic changes in 5 cases did not show any evidence of Wnt activation. FNH-like features were seen in 2 cases, but the genomic changes excluded FNH (CTNNB1 and ARID1A mutation). The final diagnosis was unchanged from the initial diagnosis of AHN in 4/23 cases (17 %) as the molecular findings did not favor HCC.

Genomic changes were helpful in characterization of WDHLs, supporting HCC in 17 % of cases and clarifying β-catenin activation status in all 7 cases with borderline GS staining. Genomic changes are not specific but can provide diagnostic clues in selected challenging cases that cannot be classified on morphology and IHC. Given the significant treatment implications of distinguishing between HCC and benign/premalignant entities, routine use of genomic analysis in diagnostically challenging settings should be considered.

Despite atezolizumab plus bevacizumab being a standard treatment for advanced hepatocellular carcinoma (HCC), a significant proportion of patients do not achieve durable benefit. This study aimed to identify predictive biomarkers for this therapy by investigating the role of immune activation within the tumor microenvironment (TME).

We characterized the intratumoral TME of patients with advanced HCC treated with atezolizumab plus bevacizumab using single cell transcriptomics on pretreatment tumor biopsies from 12 patients. To complement and support these findings, we integrated our single cell data with publicly available bulk RNA-sequencing data from independent clinical trial cohorts.

Patients who responded to combination therapy with atezolizumab plus bevacizumab demonstrated an immune-activated TME, marked by enhanced cytotoxicity and a tumor-specific T cell response. These patients also exhibited an increased proportion of inflammatory cytokine-enriched tumor-associated macrophage clusters with stronger interactions with T cells, an increased population of conventional dendritic cells, and activated antigen-presenting function in tumor endothelial cells. When publicly available bulk RNA-sequencing data from independent clinical trial cohorts were analyzed, these immune activation features were associated with improved progression-free survival (median 10.8 months, 95% CI: 7.3-not reached versus 5.5 months, 95% CI: 4.0-6.7; p <0.001).

These findings suggest that the existence of an activated immune TME before treatment is crucial for a favorable clinical response in patients with HCC treated with atezolizumab plus bevacizumab.

Only a subset of patients with HCC benefit from combination therapy with atezolizumab plus bevacizumab, limiting its clinical utility. In this study, we used single cell RNA analysis to identify TME features associated with a clinical response to this therapy. Our findings suggest that a pre-existing immune-activated TME is crucial for predicting the response to atezolizumab plus bevacizumab. Specifically, features such as enhanced T cell cytotoxicity, inflammatory cytokine-enriched macrophage clusters, active antigen presentation in endothelial cells, and an increased presence of dendritic cells may aid patient selection and inform therapeutic strategies.

The liver, as the primary metabolic organ, is susceptible to an array of factors that can harm liver cells and give rise to different liver diseases. Epigallocatechin gallate (EGCG), a natural compound found in green tea, exerts numerous beneficial effects on the human body. Notably, EGCG displays antioxidative, antibacterial, antiviral, anti-inflammatory, and anti-tumor properties. This review specifically highlights the pivotal role of EGCG in liver-related diseases, focusing on viral hepatitis, autoimmune hepatitis, fatty liver disease, and hepatocellular carcinoma. EGCG not only inhibits the entry and replication of hepatitis B and C viruses within hepatocytes, but also mitigates hepatocytic damage caused by hepatitis-induced inflammation. Furthermore, EGCG exhibits significant therapeutic potential against hepatocellular carcinoma. Combinatorial use of EGCG and anti-hepatocellular carcinoma drugs enhances the sensitivity of drug-resistant cancer cells to chemotherapeutic agents, leading to improved therapeutic outcomes. Thus, the combination of EGCG and anti-hepatocellular carcinoma drugs holds promise as an effective approach for treating drug-resistant hepatocellular carcinoma. In conclusion, EGCG possesses hepatoprotective properties against various forms of liver damage and emerges as a potential drug candidate for liver diseases.

Clonorchis sinensis (Cs)-infected hepatocellular carcinoma (HCC) patients have a poorer prognosis than non-Cs-infected HCCs. However, the molecular mechanisms of Cs-infected HCC remain unclear. To address this, this study aims to uncover the tumor microenvironment and molecular features that may contribute to these poor outcomes.

The research involved bulk RNA sequencing of paired tumor and adjacent tissue samples from 10 Cs + HCC and 10 Cs - HCC patients. Differentially expressed genes were identified, followed by enrichment analyses to reveal functional changes. Survival analysis of the top 10 up- and down-regulated genes in Cs + HCC tumors was performed using TCGA database. Additionally, clinical data from 1,461 HCC patients were retrospectively analyzed to assess the impact of Cs infection on microvascular invasion and metastasis rates. In vitro assays were also conducted using Cs excretory/secretory products (CsESPs) to examine their effect on HCC cells and HUVECs.

We identified 785 up-regulated and 675 down-regulated genes in Cs + HCC tumors compared to Cs - HCC tumors, enriched in pathways related to extracellular matrix remodeling and immunosuppression. Survival analysis revealed that the top 10 up-regulated genes are associated with HCC poor prognosis. Clinical data from 1,461 HCC patients showed Cs infection increased microvascular invasion and metastasis rates. In vitro, CsESPs products enhanced migration and invasion in HCC cells and promoted tube formation in human umbilical vein endothelial cells.

This study provides novel insights into the molecular landscape of Cs-infected HCC and underscores the Cs infection's role in enhancing tumor migration, invasion and angiogenesis. The findings contribute to the understanding of parasitic infections in cancer progression and suggest potential prognostic markers for Cs + HCC.

Epithelial cell adhesion molecule (EpCAM) is an important biomarker in tumors. In hepatocellular carcinoma (HCC), EpCAM + cells exhibit high invasiveness, tumorigenic ability, therapeutic resistance, and self-renewal ability, often identified as liver cancer stem cells (CSCs). Detecting EpCAM + cells in tumor lesions and circulation is valuable for predicting patient prognosis and monitoring therapeutic outcomes, emphasizing its clinical significance. Given its broad expression in HCC, especially in CSCs and circulating tumor cells (CTCs), EpCAM-targeting agents have garnered substantial research interest. However, the role of EpCAM in HCC progression and its regulatory mechanisms remains poorly understood. Furthermore, clinical applications of EpCAM, such as liquid biopsy and targeted therapies, are still controversial. This review summarizes the biological properties of EpCAM + HCC cells, explores the regulatory mechanisms governing EpCAM expression, and discusses its clinical significance of using EpCAM as a prognostic marker and therapeutic target.

NAD(P)H dehydrogenase quinone 1 (NQO1) is overexpressed in various cancers and is strongly associated with an immunosuppressive microenvironment and poor prognosis. In this study, we explored the role of NQO1 in the microenvironment, prognosis and immunotherapy of Hepatocellular carcinoma (HCC) using multi-omics analysis and machine learning. The results revealed that NQO1 was significantly overexpressed in HCC cells. NQO1+HCC cells were correlated with poor prognosis and facilitated tumor-associated macrophages (TAMs) polarization to M2 macrophages. We identified core NQO1-related genes (NRGs) and developed the NRGs-related risk-scores in hepatocellular carcinoma (NRSHC). The comprehensive nomogram integrating NRSHC, age, and pathological tumor-node-metastasis (pTNM) Stage achieved an area under the curve (AUC) above 0.7, demonstrating its accuracy in predicting survival outcomes and immunotherapy responses of HCC patients. High-risk patients exhibited worse prognoses but greater sensitivity to immunotherapy. Additionally, a web-based prediction tool was designed to enhance clinical utility. In conclusion, NQO1 may play a critical role in M2 polarization and accelerates HCC progression. The NRSHC model and accompanying tools offer valuable insights for personalized HCC treatment.

This study sought to establish a risk score signature based on disulfidptosis-related genes (DRGs) to predict the prognosis of hepatocellular carcinoma (HCC) patients.

The expression data of DRGs from the Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC) was analyzed to develop and validate a DRG prognostic signature (DRGPS). In vitro, experiments were conducted to explore DRG expressions and roles in HCC tissues and cell lines. HCC tissue microarrays were employed to analyze SLC7A11 expression and its association with clinicopathological characteristics.

The DRGPS consisted of 5 DRGs (SLC7A11, MATN3, CLEC3B, CCNJL, and PON1). The survival rate of HCC patients in high-risk group was significantly lower than that in low-risk group. The DRGPS was also associated with the modulation of tumor microenvironment (TME), tumor mutation burden (TMB), stemness and chemosensitivity. Furthermore, pan-cancer analysis suggested that the DRGPS risk score was associated with immune infiltration and stemness in multiple cancers. Moreover, our DRGPS had potential for predicting treatment efficacy in HCC patients. Finally, we confirmed that downregulation of SLC7A11, a DRG, inhibited the proliferation and migration of HCC cells, while its high expression correlated with advanced TNM clinical stage and larger tumor size.

This study systematically describes a novel DRGPS constructed for predicting HCC prognosis, providing a new approach to risk stratification and treatment options. It also investigates the expression and function of SLC7A11, contributing to further exploration of the molecular mechanism underlying disulfidptosis in HCC, as well as its prognostic and therapeutic implications.

The peritoneal cavity (PerC) is a discrete anatomical compartment housing diverse peritoneal macrophage subpopulations. Nonetheless, there exists a paucity of knowledge concerning the distinct functions of these subpopulations in the context of hepatocellular carcinoma (HCC) and their evolution throughout tumor advancement. This investigation seeks to analyze the characteristics of two principal peritoneal macrophage subpopulations, specifically large peritoneal macrophage (LPM) and small peritoneal macrophage (SPM), in the context of HCC. The results of our research indicate a significant decrease in the proportion of LPM during the progression of HCC, accompanied by an increase in the quantity of SPM. Furthermore, SPM found in ascites exhibited a macrophage phenotype that supports tumor growth in HCC. Importantly, the dynamic decrease of LPM in murine models following lipopolysaccharide (LPS) stimulation led to a decrease in survival rate, highlighting the critical role of the altered LPM to SPM ratio in HCC survival. By employing clodronate liposomes (CL) to deplete peritoneal macrophage in murine models, followed by the adoptive transfer of LPM, we effectively prolonged the survival of HCC and attenuated tumor progression. Our results suggest that a decrease in the LPM to SPM ratio correlates with increased mortality in the HCC model. On the contrary, the maintenance of a high ratio of LPM to SPM has shown a positive effect on HCC survival. These findings have enhanced our understanding of the complex interaction between different subpopulations of peritoneal macrophage in the development of HCC. Furthermore, these results have important implications for the development of novel therapeutic strategies.

Exosomes are nanosized extracellular vesicles secreted by various cells, including natural killer (NK) cells, and are known for their low toxicity, high permeability, biocompatibility, and strong targeting ability. NK cell-derived exosomes (NK-exos) contain cytotoxic proteins that enhance tumor-targeting efficiency, making them suitable for treating solid tumors such as hepatocellular carcinoma (HCC). Despite their potential in drug delivery, the mechanisms of drug-loaded NK-exos, particularly those loaded with doxorubicin (NK-exos-Dox), remain unclear in HCC. This study explored the anti-tumor effects of NK-exos-Dox against Hep3B cells in vitro. NK-exos-Dox expressed exosome markers (CD9 and CD63) and cytotoxic proteins (granzyme B and perforin) and measured 170-220 nm in size. Compared to NK-exos, NK-exos-Dox enhanced cytotoxicity and apoptosis in Hep3B cells by upregulating pro-apoptotic proteins (Bax, cytochrome c, cleaved caspase 3, and cleaved PARP) and inhibiting the anti-apoptotic protein (Bcl-2). These findings suggest that NK-exos-Dox significantly boost anti-tumor effects by activating specific cytotoxic molecules, offering promising therapeutic opportunities for solid tumor treatment, including HCC.

Hepatocellular carcinoma (HCC) represents a global health challenge, and ranks among one of the most prevalent and deadliest cancers worldwide. Therapeutic advances have expanded the treatment armamentarium for patients with advanced HCC, but obstacles remain. Precision oncology, which aims to match specific therapies to patients who have tumours with particular features, holds great promise. However, its implementation has been hindered by the existence of numerous 'HCC influencers' that contribute to the high inter-patient heterogeneity. HCC influencers include tumour-related characteristics, such as genetic alterations, immune infiltration, stromal composition and aetiology, and patient-specific factors, such as sex, age, germline variants and the microbiome. This Review delves into the intricate world of HCC, describing the most innovative model systems that can be harnessed to identify precision and/or personalized therapies. We provide examples of how different models have been used to nominate candidate biomarkers, their limitations and strategies to optimize such models. We also highlight the importance of reproducing distinct HCC influencers in a flexible and modular way, with the aim of dissecting their relative contribution to therapy response. Next-generation HCC models will pave the way for faster discovery of precision therapies for patients with advanced HCC.

To explore the value of intravoxel incoherent motion (IVIM) sequences in predicting intra-tumoral tertiary lymphoid structures (TLSs).

This prospective study pre-operatively enrolled hepatocellular carcinoma (HCC) patients who underwent magnetic resonance imaging including IVIM sequences, between January 2019 and April 2021. Intra-tumoral TLSs presence was assessed on pathological slide images. Clinical and radiological characteristics were collected. IVIM quantitative parameters and radiomics features were obtained based on the whole delineated tumor volume. By using feature selection techniques, 22 radiomics features, clinical-radiological features (lymphocyte count and satellite nodules), and IVIM parameters (apparent diffusion coefficient (ADC_90Percentile), perfusion fraction (f_Maximum)) were selected. The logistic regression algorithm was used to construct the prediction model based on the combination of these features. The diagnostic performance was assessed using the area under the receiver operating characteristic (AUC). The recurrence-free survival (RFS) was evaluated with Kaplan-Meier curves.

A total of 168 patients were divided into training (n=128) and testing (n=40) cohorts (mean age: 56.83±14.43 years; 149 [88.69%] males; 130 TLSs+). In testing cohort, the model combining multimodal features demonstrated a good performance (AUC: 0.86) and significantly outperformed models based on single-modality features. The model based on radiomics features (AUC: 0.80) had better performance than other features, including IVIM parameter maps (ADC_90Percentile and f_Maximum, AUC: 0.72) and clinical-radiological characteristics (satellite nodules and lymphocyte counts, AUC: 0.59). TLSs+ patients had higher RFS than TSLs- patients (all p <0.05).

The nomogram based on the proposed model can be used as a pre-operative predictive biomarker of TLSs.

The nomogram incorporating IVIM sequences may serve as a pre-operative predictive biomarker of intra-tumoral tertiary lymphoid structure (TLS) status.

Hepatocellular carcinoma (HCC) is characterized by high incidence, significant mortality, and marked heterogeneity, making accurate molecular subtyping essential for effective treatment. Using multi-omics data from HCC patients, we applied diverse clustering algorithms to identify three HCC subtypes (HSs) with distinct prognostic characteristics. Among these, HS1 emerged as an immune-compromised subtype associated with the poorest prognosis. Additionally, we developed a novel, robust, and highly accurate machine learning-guided prognostic signature (MLPS) by integrating multiple machine learning algorithms and their combinations. Our study also identified SLC2A1, the core gene of MLPS, as being highly expressed during advanced stages of tumor progression. Knockdown experiments demonstrated that reducing SLC2A1 expression significantly suppressed the malignant behavior of HCC cells. Furthermore, SLC2A1 expression was linked to responsiveness to dasatinib and vincristine, suggesting potential therapeutic relevance. MLPS and SLC2A1 offer promising tools for individualized prognosis prediction and targeted therapy in HCC, providing new opportunities to improve patient outcomes.

The liver is one of the most frequent sites of primary malignancies in humans. Hepatocellular carcinoma (HCC) is one of the most prevalent solid tumors with poor prognosis. Current treatments showed limited efficacy in some patients, and, therefore, alternative strategies, such as immunotherapy, cancer vaccines, adoptive cell therapy (ACT), and recently chimeric antigen receptors (CAR)-T cells, are developed to offer better efficacy and safety profile in patients with HCC. Unlike other ACTs like tumor-infiltrating lymphocytes (TILs), CAR-T cells are equipped with engineered CAR receptors that effectively identify tumor antigens and eliminate cancer cells without major histocompatibility complex (MHC) restriction. This process induces intracellular signaling, leading to T lymphocyte recruitment and subsequent activation of other effector cells in the tumor microenvironment (TME). Until today, novel approaches have been used to develop more potent CAR-T cells with robust persistence, specificity, trafficking, and safety. However, the clinical application of CAR-T cells in solid tumors is still challenging. Therefore, this study aims to review the advancement, prospects, and possible avenues of CAR-T cell application in HCC following an outline of the CAR structure and function.

Abnormal alternative splicing (AS) contributes to aggressive intrahepatic invasion and metastatic spread, leading to the high lethality of hepatocellular carcinoma (HCC).

This study aims to investigate the functional implications of UPF3B-S (a truncated oncogenic splice variant) in HCC metastasis.

Basescope assay was performed to analyze the expression of UPF3B-S mRNA in tissues and cells. RNA immunoprecipitation, and in vitro and in vivo models were used to explore the role of UPF3B-S and the underlying mechanisms.

We show that splicing factor HnRNPR binds to the pre-mRNA of UPF3B via its RRM2 domain to generate an exon 8 exclusion truncated splice variant UPF3B-S. High expression of UPF3B-S is correlated with tumor metastasis and unfavorable overall survival in patients with HCC. The knockdown of UPF3B-S markedly suppresses the invasive and migratory capacities of HCC cells in vitro and in vivo. Mechanistically, UPF3B-S protein targets the 3'-UTR of CDH1 mRNA to enhance the degradation of CDH1 mRNA, which results in the downregulation of E-cadherin and the activation of epithelial-mesenchymal transition. Overexpression of UPF3B-S enhances the dephosphorylation of LATS1 and the nuclear accumulation of YAP1 to trigger the Hippo signaling pathway.

Our findings suggest that HnRNPR-induced UPF3B-S promotes HCC invasion and metastasis by exhausting CDH1 mRNA and modulating YAP1-Hippo signaling. UPF3B-S could potentially serve as a promising biomarker for the clinical management of invasive HCC.

Hepatocellular carcinoma (HCC) is a major global burden, ranking as the third leading cause of cancer-related mortality. HCC due to chronic hepatitis B virus (HBV) or C virus (HCV) infection has decreased due to universal vaccination for HBV and effective antiviral therapy for both HBV and HCV, but HCC related to metabolic dysfunction-associated steatotic liver disease and alcohol-associated liver disease is increasing. Biannual liver ultrasonography and serum α-fetoprotein are the primary surveillance tools for early HCC detection among high-risk patients (e.g., cirrhosis, chronic HBV). Alternative surveillance tools such as blood-based biomarker panels and abbreviated magnetic resonance imaging (MRI) are being investigated. Multiphasic computed tomography or MRI is the standard for HCC diagnosis, but histological confirmation should be considered, especially when inconclusive findings are seen on cross-sectional imaging. Staging and treatment decisions are complex and should be made in multidisciplinary settings, incorporating multiple factors including tumor burden, degree of liver dysfunction, patient performance status, available expertise, and patient preferences. Early-stage HCC is best treated with curative options such as resection, ablation, or transplantation. For intermediate-stage disease, locoregional therapies are primarily recommended although systemic therapies may be preferred for patients with large intrahepatic tumor burden. In advanced-stage disease, immune checkpoint inhibitor-based therapy is the preferred treatment regimen. In this review article, we discuss the recent global epidemiology, risk factors, and HCC care continuum encompassing surveillance, diagnosis, staging, and treatments.

Hepatocellular carcinoma (HCC) is a ubiquitous malignancy linked to significant mortality. The abnormal expression of β-1,4-N-acetyl-galactosaminyltransferase 1 (B4GALNT1) seemed to be implicated in tumorigenesis. Nonetheless, this enzyme's roles in HCC are unclear.

By analyzing the TCGA_LIHC, GSE77509, and GSE135631 datasets, the levels of B4GALNT1 expression in HCC and surrounding non-cancerous tissues were compared. The prognostic implications of B4GALNT1 were assessed using the Cox regression analysis (CRA). The relationship of B4GALNT1 mutations with CpG island methylation levels and prognosis was examined by analyzing the cBioPortal and MethSurv databases. We sifted the evidence of B4GALNT1 expression correlating with 28 immune cell types' infiltration by harnessing the "GSVA" R package. To delve into the influences of genes associated with B4GALNT1 on HCC, we implemented gene set enrichment analysis (GSEA). We constructed a lentiviral vector expressing B4GALNT1 and knocked down B4GALNT1 in HepG2 cells. The resulting effects on HCC cell proliferation and apoptosis were analyzed via cell proliferation assays and flow cytometry.

HCC tissues presented significant B4GALNT1 overexpression relative to surrounding non-cancerous tissues, marking it as a standalone risk factor for HCC progression. Methylation levels of two CpG islands were high, suggesting poor prognosis. It was detectable that B4GALNT1 expression interrelated with the infiltration extent of natural killer T cells in HCC tissues. B4GALNT1-fueled cell proliferation and enhanced resistance to apoptosis in HCC cells.

B4GALNT1 is a strong regulator of HCC progression and holds promise as a marker for prognosis and a hallmark for therapy in HCC.