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PubMed2026

Integrated multi-omics analysis of metabolomics and proteomics uncovers dysregulated amino acid metabolism in HCC metastasis.

BACKGROUND: Metastasis is the primary cause of treatment failure and adverse prognosis in hepatocellular carcinoma (HCC), and the molecular basis of HCC metastasis remains poorly defined. This work investigated the potential mechanisms underlying HCC metastasis through integrated multi-omics analysis of metabolomics and proteomics. METHOD: This retrospective study included 105 individuals with HCC, with comparative analysis between metastatic and non-metastatic cases. We further evaluated the effects of metastasis on serum metabolomics and proteomics in HCC patients. RESULT: Widespread disturbances in amino acid metabolism were identified via untargeted metabolomics in HCC patients with metastasis, closely governing inflammation-related metabolic remodeling and oxidative stress responses. Specifically, we identified 91 and 59 distinct differential metabolites capable of indicating HCC metastasis, with the screening criteria set as log2 fold change > 1.5, adjusted P value < 0.05, and VIP > 1.5 in positive and negative modes, respectively. The alanine, aspartate and glutamate metabolism pathway correlated with HCC-associated lung metastasis, while the gluconeogenesis pathway was linked to HCC-associated bone metastasis. Compared with HCC (non-metastatic hepatocellular carcinoma), the key molecular alterations in the multi-omics network of HCC_M (HCC with metastasis) are implicated in inflammatory metabolic reprogramming, oxidative stress response, gluconeogenesis, glycolysis, and the tricarboxylic acid (TCA) cycle. Twenty-five proteins, including PKM2, PERCK, ALDH2, CPS1, GLS1, GLUD1, GOT1, and SLC38A2, were identified as potential biomarkers for HCC metastasis. CONCLUSION: By integrating untargeted metabolomic and proteomic profiling, we identified distinct metabolic and proteomic changes linked to HCC metastasis. This work also characterized the pathological characteristics and core pathways underlying HCC metastasis, while identifying potential therapeutic candidates.

Humans↗
PubMed2025

Proteomic profiling identifies miR-423-5p as a modulator of oncogenic metabolism in HCC.

BACKGROUND: Hepatocellular carcinoma (HCC) remains a significant clinical challenge due to limited diagnostic and therapeutic options. Non-coding RNAs (ncRNAs), such as microRNAs (miRNAs), play key roles in cancer biology. Our previous findings showed that miR-423-5p enhances anti-cancer effects on HCC patients treated with sorafenib by promoting autophagy. Here, we investigated the molecular mechanisms underlying miR-423-5p function through a comprehensive proteomic approach. METHODS: We generated an HCC cell line stably overexpressing miR-423-5p via lentiviral transduction. Total proteins were extracted from SNU-387 cells, enzymatically digested into peptides, and subsequently analysed by liquid chromatography-tandem mass spectrometry (LC-MS/M). Raw spectral data were processed and quantified using MaxQuant. Differentially expressed proteins (DEPs) were defined based on fold-change (|log2FC| &#x2265; 1) and false discovery rate (FDR < 0.05). The full proteomic dataset is available via the ProteomeXchange repository (identifier: PXD064869). Functional enrichment analysis of DEPs were performed using DAVID and Reactome. To assess clinical relevance, predicted and validated miR-423-5p targets were integrated with The Cancer Genome Atlas (TCGA) Liver Hepatocellular Carcinoma (LIHC) dataset using GEPIA platform. Survival analyses were performed using the Kaplan-Meier method. RESULTS: Proteomic profiling identified 698 DEPs in miR-423-5p-overexpressing cells compared to controls with significant enrichment in metabolic pathways, related to purine/pyrimidine metabolism and gluconeogenesis. Integration with bioinformatic predictions and miRTarBase validation identified 43 DEPs as potential direct targets of miR-423-5p. Among these, seven proteins (ACACA, ANKRD52, DVL3, MCM5, MCM7, RRM2, SPNS1, and SRM) were significantly associated with patient prognosis in the TCGA-LIHC cohort. These targets were downregulated in miR-423-5p-overexpressing cells but upregulated in advanced-stage HCC tissues, suggesting a potential role for miR-423-5p in the regulation of HCC pathogenesis. Stage-specific expression analysis showed increased levels from stage I to III, followed by a decline at stage IV. Notably, we experimentally confirmed miR-423-5p-mediated suppression of MCM7, DVL3, IMPDH1, and SRM (SPEE), supporting their functional involvement in HCC progression. CONCLUSION: Overall, our findings support a tumour-suppressive role for miR-423-5p in HCC, mediated by modulation of metabolic pathways and suppression of oncogenic proteins. These results suggest that miR-423-5p and its downstream effectors may serve as promising biomarkers and potential therapeutic targets in HCC. HIGHLIGHTS: miR-423-5p acts as a tumor suppressor in HCC by targeting key nodes of pro-tumorigenic signalling. miR-423-5p significantly altered metabolic pathways, including purine/pyrimidine metabolism and gluconeogenesis. Seven miR-423-5p targets correlate with poor prognosis in TCGA-LIHC patients and are downregulated in miR-423-5p overexpressing HCC cells. miR-423-5p over-expression induces a significant downregulation of MCM7, DVL3, IMPDH1, SPEE in HCC cell models. miR-423-5p limits tumor metabolic plasticity, suggesting therapeutic potential.

MicroRNAs↗
PubMed2025

NME2 modulates HCC progression through 4EBP1 phosphorylation and autophagy regulation independent of mTOR.

BACKGROUND: To investigate the role of nucleoside diphosphate kinase 2 (NME2) in HCC progression, assessing its therapeutic potential. METHODS: Utilizing transcriptome sequencing data from The Cancer Genome Atlas (TCGA) and immunohistochemical staining of tissue microarrays, we analyzed NME2 expression in HCC tumor tissues. The effects of NME2 on HCC cell proliferation and autophagy flux were assessed through knockdown and overexpression experiments. Additionally, the relationship between NME2 and 4EBP1 phosphorylation was explored through specific site mutation analysis. RESULTS: NME2 overexpression in HCC correlated with poor prognosis. NME2 knockdown significantly hindered HCC cell proliferation and induced autophagy flux. Notably, NME2 modulates 4EBP1 phosphorylation (Thr37/46) independently of mTOR, unveiling a novel axis in HCC pathogenesis. Additionally, NME2 modulates eukaryotic translation initiation factor 4F (eIF4F) complex formation and autophagy flux. CONCLUSIONS: NME2 plays a crucial role in HCC development by modulating 4EBP1 phosphorylation and autophagy through an mTOR-independent pathway. Our research underscores NME2's significance as a potential therapeutic target in HCC, meriting further exploration of its underlying mechanisms and clinical applicability.

Humans↗
PubMed2024

DGKH-mediated phosphatidic acid oncometabolism as a driver of self-renewal and therapy resistance in HCC.

BACKGROUND AND AIMS: HCC is characterized by metabolic pathway aberrations, which enable cancer cells to meet their energy demands and accelerate malignant progression. Identifying novel metabolic players governing therapy resistance and self-renewal in HCC is crucial, as these properties are likely responsible for tumor recurrence. APPROACH AND RESULTS: Clinical traits and RNA-seq of patients with HCC in The Cancer Genome Atlas were used for weighted gene coexpression network analysis, where 1 module was significantly correlated with advanced pathological stage and stem cell population maintenance. Further analysis of this module by integrating data obtained from HCC patient nonresponders to tyrosine kinase inhibitors identified 361 commonly deregulated genes. Intriguingly, these genes are significantly enriched in the intracellular signal transduction pathway, with diacylglycerol kinase eta (DGKH) ranked as the most enriched gene in poorly differentiated HCC tumors. Clinically, DGKH was elevated in tumor tissues compared to nontumor tissues. Patients with higher DGKH expression exhibited a more undifferentiated state and were less responsive to tyrosine kinase inhibitors. Functional assays using DGKH-manipulated HCC cell lines demonstrated that DGKH augmented aggressive features, including cancer stemness, therapy resistance, and metastasis. Upstream of DGKH , we discovered that the E1A-associated protein p300 (EP300) binds to DGKH's promoter region, thereby increasing its transcriptomic expression. Mechanistically, DGKH promotes mTOR signaling by producing phosphatidic acid. In an immunocompetent mouse model, cotreatment with sorafenib and liver-directed AAV8-mediated Dgkh depletion significantly reduced tumor burden, self-renewal, phosphatidic acid production, and mTOR signaling. CONCLUSIONS: Our research demonstrated that DGKH is a crucial oncometabolic regulator of cancer stemness and therapy resistance, suggesting that inhibiting DGKH may lead to more effective HCC treatment.

Humans↗
PubMed2026

Multi-Target HCC Blood Test Demonstrates Consistent Performance Across Subgroups of Patients with Chronic Liver Disease.

BACKGROUND: Early detection of hepatocellular carcinoma (HCC) is critical for improving patient outcomes; however, ultrasound-based surveillance has limited sensitivity and variable performance across patient populations. We evaluated the performance of a multitarget HCC blood test (mt-HBT), incorporating methylated DNA markers, alpha-fetoprotein (AFP), and patient sex, across clinically relevant subgroups. METHODS: We performed a subgroup analysis of a multicenter, prospective case-control study that included 159 patients with early-stage HCC (Barcelona Clinic Liver Cancer Stage 0/A) and 649 control patients with cirrhosis or chronic hepatitis B without HCC. The mt-HBT combined methylated HOXA1, TSPYL5, and B3GALT6 markers with AFP and sex. Sensitivity and specificity were evaluated overall and according to age, sex, obesity, liver disease etiology, Child Pugh class, and tumor size. Performance was compared with AFP and GALAD. RESULTS: Overall sensitivity and specificity of mt-HBT for early-stage HCC detection were 76.7% (95% CI, 69.6-82.6) and 87.5% (95% CI, 84.8-89.8), respectively. Sensitivity was significantly higher than that of AFP (35.2%, p < 0.001) and comparable to that of GALAD (78.6%, p = 0.56), whereas specificity was lower than that of AFP (98.5%, p < 0.001) but higher than that of GALAD (76.9%, p < 0.001). Sensitivity was maintained across key subgroups, including patients with obesity (68.9%), Child Pugh B cirrhosis (75.0%), hepatitis C (80.0%), hepatitis B (72.2%), alcohol-associated liver disease (80.5%), and metabolic dysfunction-associated steatotic disease (69.0%) (all p > 0.05 between subgroups). Specificity exceeded 80% in all examined populations and was significantly higher in women than in men (92.5% vs. 83.9%, p < 0.001). Sensitivity increased with tumor size, ranging from 60.0% for tumors < 2 cm to 100% for tumors > 5 cm. CONCLUSIONS: The mt-HBT demonstrated robust, consistent performance for early-stage HCC detection across diverse patient populations, including subgroups in which ultrasound surveillance commonly underperforms. These findings support the prospective validation of mt-HBT as a blood-based surveillance strategy for HCC.

liver cancer↗
PubMed2026

PSMA1, PSMA5, and PSMB2 serve as prognostic biomarkers and are correlated with tumor-infiltrating leukocytes in HCC.

Hepatocellular carcinoma (HCC) ranks as the third leading cause of cancer-related death. Proteasome (PSM) is the main intracellular proteolytic system in higher eukaryotic cells. It has been reported to be involved in the tumor's onset, metabolism, and survival, and it has been recognized as a therapeutic target for many human cancers. The 20S proteasome subunits, specifically proteasome 20S subunit alpha 1 (PSMA1), proteasome 20S subunit alpha 5 (PSMA5), and proteasome 20S subunit beta 2 (PSMB2), are overexpressed in various malignancies, including HCC. Nevertheless, the exact role of these genes in HCC prognosis remains only partially understood. Moreover, a reliable predictive biomarker for HCC is essential for supporting the implementation of personalized therapies. Therefore, this study employed a comprehensive bioinformatics approach, integrating data from cBioPortal, Human Protein Atlas (HPA), Oncomine, STRING Viruses, Kaplan-Meier plotter, and other established high-throughput databases and tools. The current study thoroughly examined the expression levels, methylation, and genomic alterations of PSM and their correlation with tumor-infiltrating leukocytes. PSMA1, PSMA5, and PSMB2 are overexpressed in various cancers, including HCC, and their expression levels are associated with tumor grade and stage. The abundance of these genes is linked to diminished DNA methylation levels and genome alterations. Moreover, there was a significant association between the expression levels of these genes and poor prognosis and immune cell infiltration. In conclusion, this study proposes PSMA1, PSMA5, and PSMB2 as biomarkers for HCC.

Humans↗
PubMed2026

A refined MASH-HCC model identifies macrophage Gadd45b as a key orchestrator of inflammation-driven neoplastic progression.

Metabolic dysfunction-associated steatohepatitis (MASH) is emerging as a leading driver of hepatocellular carcinoma (HCC), yet the molecular mechanisms linking metabolic stress, chronic inflammation and tumorigenesis remain poorly understood. Here we established a metabolically relevant, time-efficient MASH-to-HCC model in C57BL/6N mice by combining a MASH diet with controlled CCl4 administration, enabling stepwise recapitulation of MASH-associated neoplastic progression. Using this model, we identified growth arrest and DNA damage 45b (Gadd45b) as a novel MASH-derived protumorigenic regulator selectively activated under metabolic stress. Integrated analyses of human bulk and single-cell transcriptomic datasets and mouse transcriptomic deconvolution revealed concordant macrophage remodeling and GADD45B/Gadd45b expression dynamics during MASH-to-HCC progression. Mechanistically, fatty acids and TNF&#x3b1; preferentially induced Gadd45b in macrophages, where it amplified TNF&#x3b1;-NF-&#x3ba;B signaling. Macrophage-derived inflammatory signals subsequently induced Gadd45b and NF-&#x3ba;B activation in hepatocytes, establishing a feed-forward inflammatory loop that promoted fibrogenic and partial EMT-like programs and tumor spheroid formation. Importantly, temporal profiling during spheroid formation and progression revealed transient induction of Gadd45b during early spheroid establishment, but not during later progression, indicating that Gadd45b-mediated inflammatory signaling primarily promotes tumor initiation rather than subsequent growth. Consistent with human data, Gadd45b expression increased with disease severity and positively correlated with inflammatory factors in the MASH-HCC model, whereas pharmacological inhibition attenuated the Gadd45b-inflammation signaling axis. Collectively, our findings establish macrophage Gadd45b as a key orchestrator linking metabolic stress, chronic inflammation, and neoplastic transformation during MASH-to-HCC progression. Our refined MASH-HCC model provides a robust platform for mechanistic studies and preclinical evaluation of inflammation-targeted therapies.

Journal Article↗
PubMed2024

Value of HCC surveillance in a landscape of emerging surveillance options: Perspectives of a multi-stakeholder modified Delphi panel.

HCC surveillance is recommended by liver professional societies but lacks broad acceptance by several primary care and cancer societies due to limitations in the existing data. We convened a diverse multidisciplinary group of cancer screening experts to evaluate current and future paradigms of HCC prevention and early detection using a rigorous Delphi panel approach. The experts had high agreement on 21 statements about primary prevention, HCC surveillance benefits, HCC surveillance harms, and the evaluation of emerging surveillance modalities. The experts agreed that current data have methodologic limitations as well as unclear generalizability to Western populations. Although a randomized clinical trial of surveillance versus no surveillance is unlikely feasible, they concurred that alternative designs, such as a comparison of 2 surveillance modalities, could provide indirect evidence of surveillance efficacy. The panel acknowledged the presence of surveillance harms, but concurred the overall value of surveillance appears high, particularly given a greater emphasis on benefits over harms by both patients and clinicians. The experts underscored the importance of a framework for measuring both benefits and harms when evaluating emerging surveillance strategies. The panel acknowledged performance metrics of emerging methods may differ from other cancer screening programs given differences in populations, including higher risk of cancer development and competing risk of morality, and differences in diagnostic workflow in patients at risk of HCC. These data provide insights into the perceived value of HCC surveillance in an era of emerging blood- and imaging-based surveillance strategies.

Humans↗
PubMed2026

Chromatin-binding protein HMGN1 promotes HCC tumorigenesis via histone methylation-induced RALB transcriptional suppression.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related death worldwide, with metastasis being the primary cause of its high mortality. The chromatin-binding protein, high mobility group nucleosome binding domain 1 (HMGN1), has been implicated in tumour progression, but its specific role and mechanism in HCC metastasis remain unclear. This study investigates the function of HMGN1 and its potential as a therapeutic target. Analysis of patient samples confirms an upregulation of HMGN1 in HCC tissues, correlating with advanced disease and poor prognosis. Functional assays demonstrate that HMGN1 promotes HCC metastasis in vitro and in vivo. Mechanistically, integrated RNA sequencing and chromatin immunoprecipitation sequencing analyses reveal that HMGN1 binds to the promoter of RAS-like proto-oncogene B (RALB) gene, recruiting the repressive histone mark H3K9me2 to epigenetically silence its transcription and drive metastasis. Therapeutically, a nanoparticle delivery system for siRNA against HMGN1 effectively silences its expression and inhibits metastasis in orthotopic liver xenograft tumour models. Our findings establish HMGN1 as a key epigenetic driver of HCC metastasis and highlight siRNA-nanoparticle targeting of HMGN1 as a promising precision therapeutic strategy.

Humans↗
PubMed2026

PCBP2 facilitates miR-93-5p-mediated repression of GDF11 in HCC cell lines.

Growth differentiation factor 11 (GDF11), a member of the transforming growth factor-&#x3b2; superfamily, functions in skeletal muscle and neuronal regeneration and has been implicated in tumor suppression. In hepatocellular carcinoma (HCC), GDF11 expression is markedly downregulated, but the mechanisms responsible for this repression remain unclear. In this study, we examined whether the oncogenic miR-106b-25 cluster contributes to GDF11 suppression in HCC. We found that this cluster decreases GDF11 expression at both the mRNA and protein levels, with miR-93-5p acting as the dominant regulator. Inhibition of miR-93-5p with antisense oligonucleotides restored GDF11 expression and reduced HCC cell proliferation, migration, and invasion. Mechanistically, we identified the RNA-binding protein (RBP) PCBP2 as a key facilitator of miR-93-5p targeting of GDF11. PCBP2 binds a C-rich element adjacent to the miR-93-5p target site in the GDF11 3' UTR, thereby enhancing miR-93-5p-mediated repression. PCBP2 knockout attenuated miR-93-5p-mediated repression, whereas re-expression of PCBP2 restored it, supporting its modulatory role. Collectively, these findings identify PCBP2 as a modulator of miR-93-5p-mediated GDF11 repression and suggest that this regulatory interaction contributes to HCC cell proliferation, migration, and invasion. This work provides insights into the post-transcriptional control of the tumor suppressor and highlights the therapeutic potential of targeting miRNA-RBP interactions.

GDF11↗
PubMed2026

HIF-1 signaling contributes to lenvatinib resistance in patient-derived HCC organoids.

Resistance to lenvatinib remains an important limitation in hepatocellular carcinoma treatment. Six patient-derived organoid lines were established and classified as sensitive or resistant according to ex vivo drug responses, retaining histological and immunophenotypic features of matched parental tumors. Resistant organoids showed unchanged ATP activity, whereas sensitive ones exhibited pronounced morphological changes and reduced ATP activity at higher concentrations. Transcriptome sequencing identified 408 upregulated and 269 downregulated genes in resistant versus sensitive organoids, with HIF-1 signaling among altered pathways. In resistant organoids, lenvatinib increased HIF-1&#x3b1;, ANGPT2, and HK3 mRNA, whereas comparable changes were not detected in sensitive organoids. KC7F2 reduced these transcripts and further decreased ATP activity when combined with lenvatinib. In organoid-derived xenografts, this combination suppressed tumor growth and HIF-1 target expression more than lenvatinib alone, indicating HIF-1 signaling contributes to the resistant phenotype and its inhibition may enhance response.

Drug resistance↗
PubMed2024

Genomic landscape of hepatocellular carcinoma in Egyptian patients by whole exome sequencing.

BACKGROUND: Hepatocellular carcinoma (HCC) is the most common primary liver cancer. Chronic hepatitis and liver cirrhosis lead to accumulation of genetic alterations driving HCC pathogenesis. This study is designed to explore genomic landscape of HCC in Egyptian patients by whole exome sequencing. METHODS: Whole exome sequencing using Ion Torrent was done on 13 HCC patients, who underwent surgical intervention (7 patients underwent living donor liver transplantation (LDLT) and 6 patients had surgical resection}. RESULTS: Mutational signature was mostly S1, S5, S6, and S12 in HCC. Analysis of highly mutated genes in both HCC and Non-HCC revealed the presence of highly mutated genes in HCC (AHNAK2, MUC6, MUC16, TTN, ZNF17, FLG, MUC12, OBSCN, PDE4DIP, MUC5b, and HYDIN). Among the 26 significantly mutated HCC genes-identified across 10 genome sequencing studies-in addition to TCGA, APOB and RP1L1 showed the highest number of mutations in both HCC and Non-HCC tissues. Tier 1, Tier 2 variants in TCGA SMGs in HCC and Non-HCC (TP53, PIK3CA, CDKN2A, and BAP1). Cancer Genome Landscape analysis revealed Tier 1 and Tier 2 variants in HCC (MSH2) and in Non-HCC (KMT2D and ATM). For KEGG analysis, the significantly annotated clusters in HCC were Notch signaling, Wnt signaling, PI3K-AKT pathway, Hippo signaling, Apelin signaling, Hedgehog (Hh) signaling, and MAPK signaling, in addition to ECM-receptor interaction, focal adhesion, and calcium signaling. Tier 1 and Tier 2 variants KIT, KMT2D, NOTCH1, KMT2C, PIK3CA, KIT, SMARCA4, ATM, PTEN, MSH2, and PTCH1 were low frequency variants in both HCC and Non-HCC. CONCLUSION: Our results are in accordance with previous studies in HCC regarding highly mutated genes, TCGA and specifically enriched pathways in HCC. Analysis for clinical interpretation of variants revealed the presence of Tier 1 and Tier 2 variants that represent potential clinically actionable targets. The use of sequencing techniques to detect structural variants and novel techniques as single cell sequencing together with multiomics transcriptomics, metagenomics will integrate the molecular pathogenesis of HCC in Egyptian patients.

Humans↗
PubMed2026

A multi-analyte cfDNA-based blood test for early detection of hepatocellular carcinoma.

BACKGROUND & AIMS: Patients at high risk for hepatocellular carcinoma (HCC) are recommended to undergo biannual abdominal ultrasound surveillance; however, ultrasound has low sensitivity for small HCC nodules and is associated with poor adherence. To address these limitations, the multianalyte HelioLiver Dx blood test was developed to aid in the detection of HCC in patients with cirrhosis who are at high risk for HCC. METHODS: The performance of the HelioLiver Dx test and ultrasound for the detection of HCC in adults with cirrhosis was evaluated in a cross-sectional, prospective, blinded, multicenter validation study. All participants provided blood specimens for the HelioLiver Dx test and underwent ultrasound. All participants also underwent multiphasic MRI, which served as the reference standard for determining HCC status. RESULTS: Of 1,268 evaluable participants, 46 (3.6%) were considered to have HCC as determined by MRI, with many (46%) having small HCC lesions &#x2264;2 cm in diameter. The HelioLiver Dx test had a sensitivity of 47.8% (95% CI 32.9-63.1) for all HCC lesions and 28.6% (95% CI 11.3-52.2) for HCC lesions &#x2264;2 cm. In contrast, ultrasound demonstrated a lower sensitivity of 28.3% (95% CI 16.0-43.5) for all HCC lesions and failed to detect any (0%; 95% CI 0.0-16.1) HCC lesions &#x2264;2 cm. The specificity of HelioLiver Dx and ultrasound were 87.6% (95% CI 85.6-89.4) and 93.9% (95% CI 92.5-95.2), respectively. The HelioLiver Dx test met prespecified co-primary endpoints for superior sensitivity and non-inferior specificity compared to ultrasound. CONCLUSION: Compared with ultrasound and alpha-fetoprotein, the HelioLiver Dx test identified more HCC lesions overall, including more small lesions. A convenient and accurate blood-based test may improve HCC surveillance by facilitating earlier detection and reducing patient barriers to testing. GOV IDENTIFIER: NCT03694600 IMPACT AND IMPLICATIONS: There is a significant, unmet clinical need for more sensitive and accessible methods for the early detection of hepatocellular carcinoma (HCC) in high-risk patient populations. The current study is the first blinded, multicenter, prospective study to evaluate the performance of a multianalyte blood test compared to abdominal ultrasound for the detection of HCC among patients with cirrhosis. The multianalyte HelioLiver Dx test met prespecified co-primary endpoints for superior sensitivity and non-inferior specificity compared to ultrasound for detection of HCC lesions. The availability of a more accessible, convenient and sensitive blood test to aid in the detection of HCC may improve utilization and consequently clinical outcomes for high-risk patients via reduction of care barriers and improved early HCC detection. CLINICALTRIALS: gov identifier: NCT03694600.

Humans↗
PubMed2026

Genome-scale CRISPR screening uncovers SRSF6 as a target to sensitize hepatocellular carcinoma to radiotherapy.

BACKGROUND & AIMS: Radiotherapy confers clinical benefits to patients with hepatocellular carcinoma (HCC) across all stages, yet its clinical efficacy is limited by radioresistance. This study aimed to identify key regulators of HCC radiosensitivity through genome-wide functional screening. METHODS: A genome-wide CRISPR-Cas9 screen in Huh7 cells identified radiosensitivity regulators, with SRSF6 validated by siRNA knockdown and &#x3b3;-H2AX assessment. Stable shRNA-mediated SRSF6 knockdown was established in Huh7 and HepG2 cells, followed by clonogenic, EdU incorporation, apoptosis, micronucleus, and comet assays. Mechanistically, RNA-seq, Western blotting, mRNA stability assays, RIP-qPCR, and RAD51 overexpression rescue assays were performed. The therapeutic potential of the SRSF6 inhibitor indacaterol was evaluated using MTS assays, HCC xenograft mouse models (BALB/c-nu/nu, n = 28), and HCC patient-derived organoids (PDOs) (n = 3). In addition, SRSF6 expression and its correlation with patient survival were analyzed using data from The Cancer Genome Atlas and a tissue microarray (n = 14 HCC and 14 paired adjacent non-tumorous liver samples). RESULTS: We identified the RNA-binding protein SRSF6 as a driver of HCC radioresistance. SRSF6 depletion enhanced the radiosensitivity of HCC cells (p <0.05-0.0001) by post-transcriptionally destabilizing the mRNAs of critical DNA repair genes (p <0.05-0.0001), thereby impairing radiation-induced DNA damage repair. The radiosensitizing effect of SRSF6 depletion was partially abrogated by ectopic overexpression of the core DNA repair protein RAD51 (p <0.05-0.001). Indacaterol exhibited cytotoxic effects on HCC cells (p <0.05-0.0001) and enhanced the antitumor efficacy of radiation in vivo (p <0.05-0.0001), as further validated across multiple HCC patient-derived organoids (p <0.05-0.0001). CONCLUSIONS: SRSF6 is a key regulator of HCC radioresistance through its post-transcriptional control of DNA repair capacity, and represents a novel therapeutic target to sensitize HCC to radiotherapy. IMPACT AND IMPLICATIONS: In this study, we performed a genome-wide CRISPR-Cas9 knockout library screen to dissect the molecular determinants governing HCC radiosensitivity, and identified RNA-binding protein SRSF6 as a driver of HCC radioresistance. We demonstrate that SRSF6 depletion disrupts the post-transcriptional stability of key DNA repair gene mRNAs and enhances HCC radiosensitivity. These findings are important for radiation oncologists and translational researchers, as they identify SRSF6-dependent RNA regulation as a critical determinant of radiotherapy response in HCC. Practically, we show that the clinically approved bronchodilator indacaterol suppresses SRSF6 function and enhances the antitumor efficacy of radiotherapy, offering a readily repurposable pharmacological strategy to overcome radioresistance. These implications are based on preclinical evidence across multiple models; however, future clinical trials are needed to validate the safety and efficacy of indacaterol-based radiosensitization in patients with HCC.

DNA repair↗
PubMed2025

Phosphoproteomics delineates hepatocellular carcinoma subtypes and pinpoints therapeutic targets.

BACKGROUND AND AIMS: Only a minority of patients could benefit from systemic therapy owing to the high heterogeneity of HCC. Therefore, a deeper understanding of the pathogenesis of HCC is essential for precision therapy. Genomic and proteomic studies of HCC have enhanced our understanding of HCC. However, the phosphoproteomic characterization of HCC remains poorly understood. APPROACH AND RESULTS: We conducted an in-depth analysis of a clinical cohort of HCC using high-coverage phosphoproteomic. Effective therapeutic targets were validated using liver cancer cell lines and HCC patient-derived xenograft mouse models that correspond to the phosphoproteomic subtypes of HCC. Phosphoproteomic analysis classified HCC into 3 subtypes, A, B, and C, with increasing malignancy and correlation with clinical features, including patient prognosis, tumor staging, serum alpha-fetoprotein levels, tumor thrombus, and tumor size. Phosphoproteomic subtyping deeply reflected the biological characteristics and clinical features of patients with HCC&#x200b;&#x200b;&#x200b;&#x200b;&#x200b;&#x200b;. The profiles of HCC-dysregulated kinase activities inferred from the different phosphoproteomic subtypes consistently identify increased kinase activity related to cell proliferation. Subtype-C HCC patients showed the most significant dysregulation, indicating a potential therapeutic target. The corresponding drug, bosutinib, demonstrated efficacy in inhibiting the growth of subtype C tumors in liver cancer cell lines and HCC patient-derived xenograft mouse models representative of the phosphoproteomic HCC subtypes. CONCLUSIONS: Our study provides a comprehensive exploration of the phosphoproteomic landscape of HCC, establishing new subtypes that match clinical features and identifying potential therapeutic targets for the most malignant C subtype.

Carcinoma, Hepatocellular↗
PubMed2025

Redistribution of super-enhancers promotes malignancy in human hepatocellular carcinoma.

INTRODUCTION: Super-enhancers (SEs) are defined as the regulatory region where intensive transcriptional cofactors bind. Dysregulation of SEs is related to multiple diseases, however, its role in hepatocellular carcinoma (HCC) remains elusive. OBJECTIVES: This work aimed to reveal the dysregulation of SEs in HCC and the therapeutic potential for HCC treatment. METHODS: Fifteen HCC and twelve paracancerous samples underwent chromatin immunoprecipitation (ChIP) sequencing targeting H3K27ac, and subsequently the SEs were identified by the Rank Ordering of Super-Enhancers algorithm. Differential SEs featured by tumor or paracancerous tissues were identified, and cross-referenced with the differential expression genes and prognosis-related genes in 2 independent public or in-house HCC cohorts. The SE region of HSPA4 was deleted in the genome of HCCLM3 cell by CRISPR-Cas9, named HSPA4-SE-KO cells. The potential druggable transcriptional factors were identified by CRCmapper, GeneMANIA and Drug Gene Interaction Database (DGID). RESULTS: Five targets, including CDKN2C, HSPA4, GGH, PDGFA, and CAP2, were identified as HCC-gain SEs with oncogenic potential, which were further validated experimentally by SE inhibitors and ChIP targeting H3K27ac and BRD4. Cell proliferation and migration assays further confirmed that silencing of these HCC-gain SEs significantly suppressed the malignant phenotype of HCC cell lines. HSPA4 appeared strongest oncogenic functions among these targets, which was further verified by HCC mouse xenograft models and clinical sample investigation. Moreover, HSPA4-SE-KO cells obtained significantly suppressed HSPA4 expression and retarded tumorigenic capability. Finally, dysregulation of transcriptional factors engaged in the oncogenic role of SEs, and Danthron that targeting RXRA were identified from DGID for HCC treatment. CONCLUSION: The dysregulated SE landscape of HCC promoted the malignancy phenotype by the upregulation of oncogenes, and SE-regulatory network might be potential drug targets for HCC treatment. Our study deepened the insight of epigenetic dysregulation in HCC, offering the groundwork for SEs as potential therapeutic targets of HCC treatment.

Humans↗
PubMed2024

Integrated ubiquitomics characterization of hepatocellular carcinomas.

BACKGROUND AND AIMS: Patients with aggressive HCC have limited therapeutic options. Therefore, a better understanding of HCC pathogenesis is needed to improve treatment. Genomic studies of HCC have improved our understanding of cancer biology. However, the ubiquitomic characteristics of HCC remain poorly understood. We aimed to reveal the ubiquitomic characteristics of HCC and provide clinical feature biomarkers of the aggressive HCC that may be used for diagnosis or therapy in the clinic. APPROACH AND RESULTS: The comprehensive proteomic, phosphoproteomic, and ubiquitomic analyses were performed on tumors and adjacent normal liver tissues from 85 patients with HCC. HCCs displayed overexpression of drugable targets CBR1-S151 and CPNE1-S55. COL4A1, LAMC1, and LAMA4 were highly expressed in the disease free survival-poor patients. Phosphoproteomic and ubiquitomic features of HCC revealed cross talk in metabolism and metastasis. Ubiquitomics predicted diverse prognosis and clarified HCC subtype-specific proteomic signatures. Expression of biomarkers TUBA1A, BHMT2, BHMT, and ACY1 exhibited differential ubiquitination levels and displayed high prognostic risk scores, suggesting that targeting these proteins or their modified forms may be beneficial for future clinical treatment. We validated that TUBA1A K370 deubiquitination drove severe HCC and labeled an aggressive subtype of HCCs. TUBA1A K370 deubiquitination was at least partly attributed to protein kinase B-mediated USP14 activation in HCC. Notably, targeting AKT-USP14-TUBA1A complex promoted TUBA1A degradation and blocked liver tumorigenesis in vivo. CONCLUSIONS: This study expands our knowledge of ubiquitomic signatures, biomarkers, and potential therapeutic targets in HCC.

Humans↗