Hepatocellular Carcinoma (HCC) is related to dysregulated lipid metabolism and immunosuppressive microenvironment. This study developed a genetic risk model using lipid metabolism-related genes to predict survival and immune patterns in HCC patients.

Differentially expressed genes (DEGs) related to lipid metabolism were identified in HCC via the TCGA-LIHC dataset. A risk model for survival prediction was constructed via DEGs related to survival. The immune signature associated with the risk model was also evaluated by the CIBERSORT algorithm, tumor immune dysfunction and exclusion algorithm, and single sample gene set enrichment analysis.

This study identified six lipid metabolism-related genes, ADH4, LCAT, CYP2C9, CYP17A1, LPCAT1, and ACACA, to construct a lipid metabolism-related gene risk model that can divide HCC patients into low- and high-risk groups. Internal and external validation verified that the risk model could be a signature that could effectively predict HCC patient prognosis. High-risk patients showed disrupted immune cell profiles, reduced tumor-killing capacity, and increased expression of immune checkpoint genes. However, they responded more favorably to immune checkpoint inhibitor (ICB) therapy. The top ten hub genes related to the risk model were associated with tumor progression and deteriorating prognosis. In vitro experiments verified that the downregulation of the top 1 hub gene CDK1 was correlated to the HCC cell proliferation.

The risk model constructed using lipid metabolism-related genes could effectively predict prognosis and was related to the immunosuppressive microenvironment and ICB immunotherapy. The hub genes related to the risk model were potential therapeutic targets.

Hepatocellular carcinoma (HCC) is a common primary liver malignancy, but only 20-30% of patients qualify for resection due to tumor stage and liver function. Postoperative wound pain is a critical concern that can impact patient recovery and hospital stay duration. This systematic review and meta-analysis assess the efficacy of multimodal analgesia (MMA) in managing postoperative pain following hepatectomy for HCC. Adhering to PRISMA guidelines, a comprehensive search was conducted across PubMed, Embase, Web of Science, and the Cochrane Library, identifying relevant randomized controlled trials (RCTs) without language or publication date restrictions. The inclusion criteria focused on adult patients with HCC undergoing hepatectomy, comparing the effects of MMA with standard pain management protocols. Primary outcomes included postoperative pain intensity, and adverse events, with secondary outcomes addressing hospital stay duration. Quality assessment utilized the Cochrane Collaboration's risk of bias tool, and a fixed or random-effects model was applied based on heterogeneity levels. Ten RCTs met the inclusion criteria, demonstrating MMA's significant reduction in postoperative pain scores (weighted mean difference [WMD] = - 1.08, P < 0.001) and hospital stay duration (WMD = - 1.19 days, P < 0.01), with a lower incidence of adverse events (RR = 0.63, P < 0.01). Sensitivity analysis confirmed the robustness of these findings, and no significant publication bias was detected. This meta-analysis shows that MMA effectively reduces postoperative pain, adverse events, and hospital stay in hepatectomy patients, including both open and laparoscopic procedures. Future studies should explore long-term outcomes and recovery optimization.Trial registration: CRD42024605076.

Insulin-like growth factor 2 mRNA binding protein 3 (IGF2BP3) is an oncofetal protein, is strongly associated with tumor initiation and progression due to its upregulation. However, the regulatory mechanisms driving IGF2BP3 upregulation and its contribution to the development and progression in hepatocellular carcinoma (HCC) remain unclear. In this study, we demonstrated that IGF2BP3 is re-expressed in HCC mouse models, with elevated levels correlating with a poor prognosis in patients with HCC. Our data revealed that histone acetylation at the IGF2BP3 promoter region drives transcription activation of IGF2BP3 in primary hepatocytes. Notably, histone acetylation and transcriptional reactivation of IGF2BP3 were observed in human HCC tissues as well. Mechanistically, IGF2BP3 knockdown modulated the cell cycle and cell proliferation by limiting G1/S phase transition, which is dependent on cyclin D1. We further showed that IGF2BP3 maintains CCND1 mRNA stability by directly interacting with its 3'UTR. Importantly, IGF2BP3 recruits the RNA stabilizer PABPC1 to potentiate CCND1 mRNA stability. These two proteins synergistically protect CCND1 mRNA from degradation. Furthermore, IGF2BP3-depleted HCC cells were unable to form tumors in the xenograft model. High IGF2BP3 and CCND1 levels predicted poor outcomes in patients. Collectively, our findings highlight the pivotal role of the IGF2BP3/cyclin D1 axis and reveal a new regulatory mechanism for IGF2BP3 re-expression via transcriptional activation during hepatocarcinogenesis. These results indicate that the IGF2BP3/CCND1 axis is a promising prognostic biomarker and potential therapeutic target for HCC.

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.

The formation of purinosomes, dynamic complexes involved in de novo purine biosynthesis, has been recognized as a critical process for cell growth. Although their upregulation in cancer cells suggests their potential as a therapeutic target, the specific role of purinosomes in hepatocellular carcinoma (HCC) remains uncertain. The purinosome score was found to have prognostic value. Enrichment analyses indicated a connection between purinosome-related genes and cell cycle regulation. Moreover, our research has demonstrated a correlation between the upregulation of genes associated with purinosomes and the enhanced formation of purinosomes in Huh-7 cells. Pyrimethamine has been identified as a promising therapeutic option for targeting purinosome to exert anti-cancer effects. Furthermore, the purinosome score exhibited an positive relationship with the response to immunotherapy. It may guide the stratification of liver cancer patients and screen for populations that may benefit from immunotherapy. This study examines the prognostic and predictive value of purinosome in liver cancer, suggesting that targeting purinosome formation with pyrimethamine or immunotherapy could benefit patients with high purinosome scores.

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.

Curcumol, a bioactive sesquiterpenoid extracted from traditional Chinese medicine (TCM), has demonstrated potential in overcoming tumor drug resistance. However, its mechanisms in reversing drug resistance, particularly in hepatocellular carcinoma (HCC) resistant to sorafenib, are not yet fully elucidated. This study aims to explore the molecular mechanisms by which curcumol reverses sorafenib resistance in HCC using a combination of network pharmacology, molecular docking, and in vivo and in vitro experiments.

We identified curcumol targets and genes associated with sorafenib-resistant HCC, resulting in a set of overlapping targets. These intersection targets underwent enrichment analysis using DAVID, and a protein-protein interaction (PPI) network was constructed via the STRING database and Cytoscape. Molecular docking confirmed the binding of curcumol to core targets. In vitro assays, including CCK-8, colony formation assay, apoptosis detection, wound healing, and Transwell assays, evaluated curcumol's effects on sorafenib-resistant HCC cells. Western blotting assessed the impact on PI3K/AKT and JAK/STAT3 signaling pathways. Additionally, a sorafenib-resistant HCC xenograft mouse model was established to observe the in vivo efficacy of curcumol combined with sorafenib.

We identified 117 potential targets for curcumol in reversing sorafenib resistance in HCC. Among them, five core targets-ALB, STAT3, HSP90AA1, HSP90AB1, and SRC-showed strong binding affinity with curcumol. KEGG pathway analysis of the intersecting genes highlighted significant involvement of the PI3K/AKT, JAK/STAT3, Ras, Rap1, HIF-1, FoxO, and mTOR signaling pathways. In vitro experiments revealed that curcumol significantly enhanced the sensitivity of sorafenib-resistant HCC cells to sorafenib, inhibiting cell proliferation, invasion, and migration while promoting apoptosis. In vivo studies further confirmed that curcumol combined with sorafenib effectively inhibited tumor growth in sorafenib-resistant HCC models.

This study provides compelling evidence that curcumol can reverse sorafenib resistance in HCC by modulating multiple signaling pathways, including PI3K/AKT and JAK/STAT3 pathways. Our findings suggest that curcumol holds promise as a novel therapeutic agent for overcoming drug resistance in HCC, offering a new avenue for clinical intervention.

Hepatoma is the sixth most malignant tumor in the world and the second leading cause of cancer death. Among the types of hepatoma, hepatocellular carcinoma (HCC) is the most important pathological type. For patients with early-stage HCC, the curative treatment is tumor resection. However, early diagnosis and treatment of HCC are difficult; the disease progresses rapidly, and the prognosis is poor. Due to the current limited treatment options for advanced HCC, the identification of new targeted agents is critical for the development of novel approaches to HCC treatment. Histone deacetylases (HDACs) is a protease that removes acetyl groups from histone lysine residues in proteins, and it plays an important role in the structural modification of chromosomes and the regulation of gene expression. Abnormally expressed HDACs can promote tumorigenesis by inducing biological processes such as cell proliferation, migration, and apoptosis inhibition. Since HDACs activity is upregulated in HCC, treatment regimens specifically inhibiting various HDACs have shown good efficacy. This article reviews the application of HDAC inhibitors in the treatment of HCC and explains their mechanisms of action. KEY MESSAGES: HDAC network and cellular effects of HDAC inhibitors. Role and mechanism of HDAC inhibitors in HCC. HDAC inhibitor combined with other ways to treat HCC. The side effects of HDACis in the treatment of HCC.

Antisense circular RNA is a special type of circular RNA that is derived from the antisense complementary strand of parental mRNA. However, the function of antisense circRNA in hepatocellular carcinoma (HCC) is still unclear. Here, we reported that CSF3R-AS was upregulated in HCC and correlated with a poor prognosis. CSF3R-AS promoted the proliferation, angiogenesis, and metastasis of HCC, and inhibited apoptosis. Mechanistically, CSF3R-AS has a 180-base complementary pairing sequence with its parental mRNA CSF3R, which can directly bind to CSF3R and recruit RBMS3 to stabilize its parental mRNA, and finally activate JAK2/STAT3 signaling pathway. Interestingly, STAT3 can act as a transcription factor of CSF3R-AS, which means that there is a CSF3R-AS/CSF3R/JAK2/STAT3 positive feedback loop in HCC. Finally, the CSF3R-AS/CSF3R/JAK2/STAT3 positive feedback loop was also activated in HCC sorafenib-resistant cells, and blocking this loop was expected to improve the sensitivity of HCC to sorafenib. These findings suggested that the CSF3R-AS/CSF3R/JAK2/STAT3 positive feedback loop could promote HCC progression and sorafenib resistance. Blocking this loop is expected to provide new research directions and therapy targets for HCC.

Although various malignant tumors have been associated with the aberrant expression of Neural Epidermal Growth Factor-Like 2 (NELL2), its involvement in hepatocellular carcinoma (HCC) has not been previously documented. In this study, NELL2, recognized as a crucial tumor-suppressor gene, was found to be infrequently expressed in HCC. In vitro experiments demonstrated that the overexpression of NELL2 significantly inhibited the proliferation, migration, and invasion of liver cancer cells, whereas the suppression of NELL2 markedly enhanced these oncogenic properties. Further investigation revealed that NELL2 impedes epithelial-mesenchymal transition (EMT) via the Notch signaling pathway. Inhibition of the Notch pathway reversed the increased tumor proliferation, migration, and invasion observed following the downregulation of NELL2 expression. Notably, gene enrichment analysis and in vitro studies indicated that NELL2 effectively induced ferroptosis in HCC cells, as evidenced by increased levels of cellular malondialdehyde (MDA), iron, and Reactive Oxygen Species (ROS), alongside decreased glutathione (GSH) levels. The blockade of the Notch signaling pathway substantially diminished NELL2's capacity to induce ferroptosis. In summary, our findings suggest that NELL2 modulates the Notch signaling pathway to inhibit EMT and promote ferroptosis. Consequently, NELL2 may serve as a novel therapeutic target, potentially functioning as a tumor suppressor gene in HCC.

This study pioneers a pH-responsive core-shell nanoplatform integrating magnetic Fe3O4-hydroxyapatite (Fe/HAP) with polysuccinimide (PSI) polymer, engineered to enhance tumor-targeted delivery of fluorouracil (5-FU) for liver cancer therapy.

The individual components-hydroxyapatite (HAP), magnetite (F3O4), iron-doped hydroxyapatite (Fe/HAP), and polysuccinimide (PSI)-were synthesized and systematically characterized through Fourier-transform infrared (FTIR) spectroscopy and scanning electron microscopy (SEM). Through a combination of single-factor experiments and Box-Behnken design (BBD) response surface methodology, the formulation parameters were optimized for two nanoparticle systems: (1) non-magnetic 5-FU-loaded PSI-HAP (designated as 5-FU@DC, where DC denotes "drug carrier") and (2) magnetic-targeted formulations 5-FU@PSI-Fe/HAP with varying iron content (5-FU@FeDC20, 5-FU@FeDC30, 5-FU@FeDC40). The engineered nanoparticles were thoroughly characterized for their morphological characteristics, hydrodynamic properties (particle size distribution and zeta potential), magnetic responsiveness (vibrating sample magnetometry), and pH-dependent drug release profiles. Nile Red was used to label the drug-loaded nanoparticles, and small animal imaging technology was employed to track their distribution in mice in vivo. Furthermore, in vitro studies examined the effects of these formulations on the proliferation, apoptosis, and migration of Huh-7 liver cancer cells.

The formulations (5-FU@DC and 5-FU@FeDC) were found to form uniform spherical or near-spherical nanoparticles. Vibrating sample magnetometer (VSM) analysis confirmed that the 5-FU@FeDC formulations displayed paramagnetic properties. Zeta potential measurements showed that all prepared systems had negative charges, similar to human biological membranes. All nanoparticles gradually released the drug at pH levels above 5, with the release rate increasing as the pH increased. Compared to the non-magnetic 5-FU@DC formulation, the magnetic 5-FU@FeDC formulations showed significantly longer distribution and retention times in liver tissue and more effectively inhibited the proliferation of Huh-7 cells.

The current study developed a magnetic targeting nano-delivery system using PSI and Fe/HAP as formulation excipients. The system offers uniform particle size, a simple preparation process, and a cost-effective method for targeted drug delivery. It is not only suitable for liver-targeted drug delivery but also applicable for drug delivery to other tissues in the body for anti-tumor drugs.

Our study aimed to develop a machine learning (ML) model utilizing grayscale ultrasound (US) to distinguish ≤3 cm small hepatocellular carcinoma (sHCC) from non-HCC lesions.

A total of 1052 patients with 1058 liver lesions ≤3 cm from 55 hospitals were collected between May 2017 and June 2021, and 756 liver lesions were randomly allocated into train and internal validation cohorts at a 8:2 ratio for the development and evaluation of ML models based on multilayer perceptron (MLP) and extreme gradient boosting (XGBoost) methods (ModelU utilizing US imaging features; ModelUR adding US radiomics features; ModelURC employing clinical features further). The diagnostic performance of three models was assessed in external validation cohort (312 liver lesions from 14 hospitals). The diagnostic efficacy of the optimal model was compared to that of radiologists in external validation cohort. The SHapley Additive exPlanations (SHAP) method was employed to interpret the optimal ML model by ranking feature importance. The study was registered at ClinicalTrials.gov (NCT03871140).

ModelURC based XGBoost showed the best performance (AUC = 0.934; 95% CI: 0.894-0.974) in the internal validation cohort. In the external validation cohort, ModelURC also achieved optimal AUC (AUC = 0.899, 95% CI: 0.861-0.931). Upon conducting a subgroup analysis, no statistically significant differences were observed in the diagnostic performance of the ModelURC neither between tumor sizes of ≤2.0 cm and 2.1-3.0 cm nor across different HCC risk stratifications. ModelURC exhibited superior ability compared to all radiologists and ModelURC assistance significantly improved the diagnostic AUC for all radiologists (all P < 0.0001).

A diagnostic model for sHCC was developed and validated using ML and grayscale US from large cohorts. This model significantly improved the diagnostic performance of grayscale US for sHCC compared with experts.

This work was supported by National Key Research and Development Program of China (2022YFC2405500), Major Research Program of the National Natural Science Foundation of China (92159305), National Science Fund for Distinguished Young Scholars (82325027), Key project of National Natural Science Foundation of China (82030047), Military Fund for Geriatric Diseases (20BJZ42), National Natural Science Foundation of China Special Program (82441011). National Natural Science Foundation of China (82402280), National Natural Science Foundation of China (32171363), Key Research and Development Program for Social Development of Yunnan Science and Technology Department (202403AC100014).

γ-Glutamylcyclotransferase (GGCT) is implicated in multiple types of cancer diseases. Nevertheless, the roles and relevant mechanisms of GGCT in hepatocellular carcinoma (HCC) remain vague.

GGCT expression in HCC and its effect on patient survival curve in HCC were evaluated utilizing the UALCAN database, along with western blot. CCK-8, EdU, and wound healing, together with transwell and western blot assays were adopted to assess the capabilities of cells to proliferate, migrate, invade, and epithelial-mesenchymal transition (EMT). Cell apoptosis was appraised utilizing TUNEL as well as western blot. Glycolysis was measured by western blot and kits. Enhancer of zeste homolog 2 (EZH2) expression in HCC cells was detected by western blot. Co-IP verified the combination of GGCT and EZH2. Moreover, PI3K/AKT pathway-related proteins were assessed employing western blot.

GGCT expression was conspicuously upregulated in HCC samples and HCC cells. GGCT silencing repressed HuH-7 cell proliferative, invasive, and migratory capabilities as well as EMT, whereas facilitated cell apoptosis. In addition, GGCT silencing inhibited PTEN/PI3K/AKT pathway-mediated glycolysis. EZH2 was highly expressed in HCC cells and the interaction of GGCT and EZH2 was verified. Overexpression of EZH2 reversed the effects of GGCT silencing on HuH-7 cell proliferation, migration, invasion, cell apoptosis, and glycolysis. Moreover, the PTEN inhibitor SF1670 reversed the effects of GGCT silencing and EZH2 overexpression on the glycolysis and malignant process in HuH-7 cells.

In conclusion, GGCT silencing restrained the proliferation and metastasis, and promoted apoptotic levels of HCC cells via regulating PTEN/PI3K/AKT pathway-mediated glycolysis, which might offer a prospective candidate in treating HCC.

Primary liver cancer is a common malignant tumor of the digestive system, with hepatocellular carcinoma (HCC) being the most prevalent type. It is characterized by high malignancy, insidious onset, and a lack of specific early diagnostic and therapeutic markers, posing a serious threat to human health. The occurrence and development of HCC are closely related to its metabolic processes. Similar to other malignant tumors, metabolic reprogramming occurs extensively in tumor cells, with glucose metabolism reprogramming being particularly prominent. This is characterized by abnormal activation of glycolysis and inhibition of oxidative phosphorylation and gluconeogenesis, among other changes. Glucose metabolism reprogramming provides intermediates and energy for HCC to meet its demands for rapid growth, proliferation, and metastasis. Additionally, various enzymes and signaling molecules involved in glucose metabolism reprogramming play irreplaceable roles. Therefore, regulating key metabolic enzymes and pathways in these processes is considered an important target for the diagnosis and treatment of HCC. This paper reviews the current status and progress of glucose metabolism reprogramming in HCC, aiming to provide new insights for the diagnosis, detection, and comprehensive treatment strategies of HCC involving combined glucose metabolism intervention in clinical settings.

Tislelizumab has emerged as a promising therapy for unresectable hepatocellular carcinoma (uHCC), although its economic viability across different healthcare systems remains uncertain.

This study compared the cost-effectiveness of tislelizumab versus sorafenib as a first-line treatment for uHCC from the perspectives of the healthcare systems of China, the United States and Europe.

A partitioned survival model was developed using data from the RATIONALE-301 trial. Costs and utilities were sourced from local healthcare charges, publicly available databases, and published literature. Total costs, quality-adjusted life years, and incremental cost-effectiveness ratios (ICERs) were assessed. Price simulations were conducted to identify cost-effective pricing within established willingness-to-pay (WTP) thresholds. Sensitivity and scenario analyses were performed to test the robustness of the model.

Tislelizumab (priced at $1587.45/100 mg) was cost-effective in the US at a WTP threshold of $150,000, with an ICER of $108,812.52. In Europe, tislelizumab was cost-effective at a WTP threshold of $100,000, with an ICER of $94,880.40. For $186.18/100 mg in China, tislelizumab was cost-effective with an ICER of $14,206.80. Price simulation analyses showed that in the US, tislelizumab was favored when priced below $1438.30/100 mg at a $100,000 WTP threshold and below $2284.56/100 mg at a $150,000 WTP threshold. In Europe, it was favored below $1661.82/100 mg and $2501.93/100 mg for the same thresholds. In China, tislelizumab was cost-effective at a WTP threshold of $38,184 when priced below $582.11/100 mg.

Tislelizumab presents a cost-effective first-line treatment option for uHCC, potentially supporting its broader adoption in health policy. Future research should focus on long-term efficacy and real-world data to further validate these findings.

By inducing apoptosis, promoting differentiation and reducing the migration of cancer cells, arsenic has a higher therapeutic effect and lower risk of recurrence and metastasis than conventional anticancer drugs. However, the low bioavailability and adverse side effects of arsenic hinder its application in hepatocellular carcinoma (HCC). Therefore, a M1 macrophage membrane-coated nickel-arsenic/polydopamine nanocomplex (NiAsOx@P@M) was constructed to enhance the combined antitumor effects of chemotherapy and immunotherapy. The nanocomplex consisted of a nickel-arsenic oxide core, a polydopamine (PDA) shell and a M1 macrophage membrane (MM) coating. MM endowed the nanocomplex with natural tumor homing and immune escape properties, and the nanocomplex was gradually accumulated in the tumor tissue during the internal circulation. The acid response of PDA led to its degradation in the tumor microenvironment (TME). The degradation product dopamine (DA) and MM jointly promoted tumor immunity and regulated tumor-associated macrophages (TAMs) to repolarization M1 phenotype. The nickel-arsenic oxide core dissociated in an acid environment and released arsenic, thus killing tumor cells. In summary, the nanocomplex provided a promising delivery strategy for arsenic therapy of HCC and a novel design idea for the conversion of inorganic drugs into organic preparations.

Immune checkpoint inhibitors have proven efficacy against hepatitis B-virus positive hepatocellular. However, Immunotherapy-related adverse reactions are still a major challenge faced by tumor immunotherapy, so it is urgent to establish new methods to effectively predict immunotherapy-related adverse reactions.

Multi-machine learning model were constructed to screen the risk factors for irAEs in ICIs for the treatment of HBV-related hepatocellular and build a prediction model for the occurrence of clinical IRAEs.

Data from 274 hepatitis B virus positive tumor patients who received PD-1 or/and CTLA4 inhibitor treatment and had immune cell detection results were collected from Henan Cancer Hospital for retrospective analysis. Models were established using Lasso, RSF (RandomForest), and xgBoost, with ten-fold cross-validation and resampling methods used to ensure model reliability. The impact of influencing factors on irAEs (immune-related adverse events) was validated using Decision Curve Analysis (DCA). Both uni/multivariable analysis were accomplished by Chi-square/Fisher's exact tests. The accuracy of the model is verified in the DCA curve.

A total of 274 HBV-related liver cancer patients were enrolled in the study. Predictive models were constructed using three machine learning algorithms to analyze and statistically evaluate clinical characteristics, including immune cell data. The accuracy of the Lasso regression model was 0.864, XGBoost achieved 0.903, and RandomForest reached 0.961. Resampling internal validation revealed that RandomForest had the highest recall rate (AUC = 0.892). Based on machine learning-selected indicators, antiviral therapy and The HBV DNA copy number showed a significant correlation with both the occurrence and severity of irAEs. Antiviral therapy notably reduced the incidence of IRAEs and may modulate these events through regulation of B cells. The DCA model also demonstrated strong predictive performance. Effective control of viral load through antiviral therapy significantly mitigates the occurrence of irAEs.

ICIs show therapeutic potential in the treatment of HBV-HCC. Following antiviral therapy, the incidence of severe irAEs decreases. Even in cases where viral load control is incomplete, continuous antiviral treatment can still mitigate the occurrence of irAEs.

Dysregulation of SF3A3 has been related to the development of many cancers. Here, we investigated the functional role of SF3A3 in hepatocellular carcinoma (HCC).

SF3A3 expression in HCC tissues and cell lines was examined using RT-qPCR. Changes in malignant behavior of HCC cells after downregulation of SF3A3 were assessed by EdU, colony formation, flow cytometry, wound healing, and Transwell invasion assays. Multiple datasets were combined to identify the upstream modifiers of SF3A3. The binding relationship between STIL and FOXM1 was explored by co-IP assay, and the effect of STIL and FOXM1 on the binding of FOXM1 at the SF3A3 promoter was detected by ChIP-qPCR assay. A xenograft tumor model was established to explore the changes of tumors in vivo, and the expression of Ki67, GPC3, and p53 in tumor tissues was detected by immunohistochemistry.

SF3A3 and STIL were overexpressed in HCC tissues and cells, and downregulation of SF3A3 or STIL inhibited the malignant behavior of HCC cells by promoting the expression of p53. An interaction between STIL and FOXM1 regulated the SF3A3 expression in HCC cells. Knockdown of FOXM1 further enhanced the anti-tumor effects of STIL loss on HCC cells in vitro and in vivo, whereas SF3A3 overexpression overturned the impact of STIL loss on HCC cells in vitro and in vivo.

Our findings indicate that STIL/FOXM1 expedites HCC development by activating SF3A3, which highlights the importance of SF3A3 as a promising prognostic marker and therapeutic target for HCC.

Cellular senescence, an emerging hallmark of cancer, has garnered increasing attention in recent years. However, its role in hepatocellular carcinoma (HCC) is still not well understood. Furthermore, there is a lack of comprehensive biomarkers to predict prognosis and assess senescence and immune characteristics in HCC patients. To address these gaps, we conducted functional studies on bleomycin-induced senescent Hepa1-6 cells and developed the Cellular Senescence Score (CSS) based on four core cellular senescence-related genes. We found that the cellular senescence signaling pathway was enriched among the risk genes associated with unfavorable prognosis in HCC patients. The senescence associated secretory phenotype (SASP) derived from senescent Hepa1-6 cells induced an increase in CD3+ CD8+ CD279+ T cells. The senescent Huh7 cells expressed higher levels of pro-angiogenic genes compared to their immortal counterparts. The CSS was constructed on the basis of BMI1, EZH2, NPM1, and ME1. HCC Patients in the high-CSS group had significantly shorter overall survival compared to those in the low-CSS group. In contrast to the low-CSS group, the high-CSS group exhibited more senescence characteristics at both the overall tumor microenvironment and single-cell levels. Three distinct senescence patterns were identified in hepatoma cells: oxidative stress related senescence, metabolism related senescence, and immune related senescence. The high-CSS group showed elevated TP53 mutation rate, diminished immune cell infiltration, and enhanced expression levels of immune checkpoint molecules compared to the low-CSS group. Moreover, the high-CSS group displayed a greater proportion of patients responsive to immune checkpoint therapy compared to the low-CSS group. In summary, the impacts of cellular senescence on HCC are multifaceted, and the tumor-promoting effects may be caused by SASP remodeling the HCC microenvironment rather than by the senescent hepatoma cells themselves. The CSS is a promising biomarker capable of predicting prognosis and assessing senescence and immune characteristics in HCC.

Young adults contribute substantially to the social economy. However, the number of young adults with liver cancer has increased recently. In addition, the mortality rate of these patients is high.

This retrospective study investigated the risk factors of young patients diagnosed with liver cancer over the past 12 years.

The risk factors of liver cancer, including male, HBV infection, and family history of diseases, were more common in young patients. Nearly 80% of young patients (198/253) were tested as positive HBsAg. However, most of these patients did not visit doctors regularly, as recommended. Thus, 55.7% of young patients were diagnosed with advanced liver cancer. The aspartate aminotransferase (AST) levels were independently associated with advanced liver cancer (OR = 4.262, 95% CI = 1.559-11.65, P = 0.005) in the multivariable logistic regression. The 1-year survival rate of these patients was 19.4%.

The high-risk factors of liver cancer are common in young patients. The poor adherence to regularly visited doctors in young patients might contribute to the high ratio of advanced liver cancer. The 1-year survival rate of these patients is low. Improving patient's adherence via mobile healthcare platform and monitoring serum AST levels might decrease the incidence and mortality of liver cancer in young adults.

Hepatocellular carcinoma (HCC) represents the most prevalent form of primary liver cancer and has a high mortality rate. Caspase-8 plays a pivotal role in an array of cellular signaling pathways and is essential for the governance of programmed cell death mechanisms, inflammatory responses, and the dynamics of the tumor microenvironment. Dysregulation of caspase-8 is intricately linked to the complex biological underpinnings of HCC. In this manuscript, we provide a comprehensive review of the regulatory roles of caspase-8 in apoptosis, necroptosis, pyroptosis, and PANoptosis, as well as its impact on inflammatory reactions and the intricate interplay with critical immune cells within the tumor microenvironment, such as tumor-associated macrophages, T cells, natural killer cells, and dendritic cells. Furthermore, we emphasize how caspase-8 plays pivotal roles in the development, progression, and drug resistance observed in HCC, and explore the potential of targeting caspase-8 as a promising strategy for HCC treatment.

Hepatocellular carcinoma (HCC) is a complex disease, further exacerbated by coexisting diabetes. With the rising incidence of HCC-diabetes cases, alternative treatment strategies are urgently needed. Traditional Chinese Medicine (TCM) offers promising options, and quercetin, a bioactive flavonoid, has shown significant antitumor and antidiabetic effects. This study aimed to investigate the efficacy of quercetin in treating HCC with diabetes using bioinformatics and network pharmacology. We constructed a prognostic model for HCC-diabetes using multivariate Cox proportional hazards regression and identified potential targets for quercetin by intersecting quercetin target genes with HCC-diabetes genes. Molecular docking and molecular dynamics simulations screened these potential targets, and in vitro experiments verified quercetin's targets and pathways. The results revealed a prediction model with four essential genes that effectively predict HCC prognosis in diabetic patients. IL6 and MMP9 were identified as potential targets of quercetin through molecular docking and dynamics simulations. In vitro experiments revealed that quercetin promotes apoptosis, inhibits cell proliferation, and suppresses epithelial-mesenchymal transition (EMT) in HepG2 cells under high-glucose conditions by reducing IL6 expression and inhibiting the MEK/ERK pathway. In summary, quercetin may delay the progression of HCC-diabetes by modulating IL6 to inhibit the MEK/ERK signaling pathway, thereby promoting apoptosis and inhibiting the proliferation and EMT of HepG2 cells.

Hypoxia plays an important role in the metastasis of hepatocellular carcinoma (HCC). Exosomes have been widely studied as mediators of communication between tumours and immune cells. However, the specific mechanism by which hypoxic HCC cell-derived exosomes suppress antitumor immunity is unclear. Hypoxia scores were determined for The Cancer Genome-Liver Hepatocellular Carcinoma (TCGA-LIHC) dataset patients, and HCC patients in the hyperhypoxic group had a higher degree of M2 macrophage infiltration. Patients in the M2 high-invasion group had a lower probability of survival than those in the low-invasion group. In vivo and in vitro experiments demonstrated that exosomes secreted by hypoxic HCC cells promote M2 macrophage polarization. This polarization induces apoptosis in CD8+ T cells. Additionally, it encourages epithelial-mesenchymal transition (EMT), which increases HCC migration. Exosomal miRNA sequencing revealed that miR-1290 was highly expressed in exosomes secreted by hypoxic HCC cells. Mechanistically, miR-1290 in macrophages inhibited Akt2 while upregulating PD-L1 to promote M2 polarization, induce apoptosis in CD8+ T cells, and enhance EMT in HCC. Animal studies found that the miR-1290 antagomir in combination with the immune checkpoint inhibitor produced better antitumor effects than the monotherapies. In conclusion, the secretion of exosome-derived miR-1290 from HCC cells in a hypoxic environment supported immune escape by HCC cells by promoting M2 macrophage polarization to induce apoptosis in CD8+ T cells and enhance EMT that promoted HCC metastasis. Therefore, miR-1290 is an important molecule in antitumor immunity in HCC, and inhibition of miR-1290 could provide a novel immunotherapeutic approach for HCC treatment.

Portal vein tumor thrombus (PVTT) formed by cancer cell invasion is a major cause of high mortality in hepatocellular carcinoma (HCC), and the formation of thrombus will be accelerated by bacterial colonization on the surface of the implant after surgery. In this work, Polypyrrole-coated arsenic-loaded layered double hydroxide films were in situ constructed on the nickel-titanium alloy for the efficient killing of tumour cells by thermo-therapeutic synergistic chemotherapy. The good near-infrared photothermal conversion ability of polypyrrole enables the sample surface temperature to be raised to about 51 °C at a low photothermal power (0.5 w/cm2), while the elevated temperature could further accelerate the release of drug arsenic. In addition, when NIR light is not applied, the polypyrrole coating also cleverly acts as a "barrier layer" to reduce the natural release of arsenic in normal tissues to avoid toxicity issues. In vivo and in vitro experiments have demonstrated that the platform exhibits excellent antitumor and antibacterial abilities. In contrast to the systemic toxicity issues associated with systemic circulation of nanotherapeutic drugs, this in situ functional film is expected to be used in localised interventions for precise drug delivery, and is also more suitable for surgical treatment scenarios in PVTT surgeries.

Our study aims to develop and validate a novel molecular marker for the prognosis and diagnosis of hepatocellular carcinoma (HCC) MATERIALS & METHODS: We retrospectively analyzed mRNA expression profile and clinicopathological data of HCC patients fetched from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO) and The International Cancer Genome Consortium (ICGC) datasets. Univariate Cox regression analysis was performed to collect differentially expressed mRNA (DEmRNAs) from HCC and non-tumor tissues, and YEATS2, a prognostic marker, was identified by further analysis. ROC curve, survival analysis and multivariate Cox regression analysis as well as nomograms were used to evaluate the prognosis of this gene. Finally, the biological function of this gene was preliminarily discussed by using single gene Gene Set Enrichment Analysis (GSEA), and the YEATS2 overexpression and knockdown hepatoma cell line was used to verify the results in vitro and in vivo.

Based on the clinical information of HCC in TCGA, GEO and ICGC databases, the gene YEATS2 with significant differences from HCC was identified. There was a statistical difference in the survival prognosis between the two databases and the ROC curve showed that the survival of HCC in both TCGA, GSE14520 and ICGC groups had a satisfactory predictive effect. Univariate and multivariate Cox regression analysis showed that YEATS2 was an independent prognostic factor for HCC, and Nomograms, which combined this prognostic feature with significant clinical features, provided an important reference for the clinical prognostic diagnosis of HCC. Next, we constructed overexpression and knockdown YEATS2 cell line in Hep3B and LM3 cells, and further proved that overexpression YEATS2 promote the proliferation and migration of HCC cells by CCK8, colony formation experiment, and transwell assays, and knockdown YEATS2 inhibited the proliferation and migration of HCC cells by CCK8, colony formation experiment, and transwell assays. Finally, the biological function of YEATS2 was preliminarily explored through GSEA analysis of a single gene, and it was found that it was significantly correlated with cell cycle and DNA repair, which provided us with ideas for further analysis. Furthermore, the knockdown of YEATS2 promoted radiation-induced DNA damage, enhanced radiosensitivity, and ultimately inhibited the proliferation of hepatocellular carcinoma cells in vitro and in vivo.

Our study identified a promising prognostic marker for hepatocellular carcinoma that is useful for clinical decision-making and individualized treatment.

Increasing evidence supports the connection between the progression of several cancers and BRK1. However, the clinical significance of aberrant BRK1 gene expression in cancer is unknown. This study is conducted to investigate the possibility and effect of BRK1 as a potential immunotherapy target, to deliver a better option for liver cancer immunotherapy. We explored the predictive role of BRK1 expression in a variety of cancers from different bioinformatics, including differential expression in different cancers, tumor microenvironment (TME), microsatellite instability (MSI), tumor mutational burden (TMB), immune checkpoint molecules, immune-related and cell cycle-related signalling pathways, and drug response sensitivity. Finally, we verified the expression of BRK1 in hepatocellular carcinoma using immunohistochemistry. BRK1 is overexpressed in multiple cancers and displays a negative association with prognosis and progression of disease in a wide range of main cancer types. Additionally, the expression of BRK1 is related to MSI and TMB of tumors. There was also a remarkable correlation between the expression of BRK1 and immune score, immune infiltration, immune checkpoint molecules and a stromal score of tumors. In hepatocellular carcinoma, BRK1 is associated with several signaling pathways and immune cell infiltration may affect several key immune-related regulatory genes, making it an excellent biomarker and may be a sensitive target for immune drugs.Our research suggests that BRK1 may be a potential prognostic marker and target for immunotherapy and may be associated with poor prognosis in diverse malignancies, including hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is the second leading cause of cancer-related deaths worldwide, with more than 800,000 deaths each year, and its 5-year survival rate is less than 12%. The role of the HN1 gene in HCC has remained elusive, despite its upregulation in various cancer types. In our investigation, we identified HN1's heightened expression in HCC tissues, which, upon overexpression, fosters cell proliferation, migration, and invasion, unveiling its role as an oncogene in HCC. In addition, silencing HN1 diminished the viability and metastasis of HCC cells, whereas HN1 overexpression stimulated their growth and invasion. Gene expression profiling revealed HN1 silencing downregulated 379 genes and upregulated 130 genes, and suppressive proteins associated with the lipogenic signaling pathway networks. Notably, suppressing HN1 markedly decreased the expression levels of SREBP1 and SREBP2, whereas elevating HN1 had the converse effect. This dual modulation of HN1 affected lipid formation, hindering it upon HN1 silencing and promoting it upon HN1 overexpression. Moreover, HN1 triggers the Akt pathway, fostering tumorigenesis via SREBP1-mediated lipogenesis and silencing HN1 effectively curbed HCC tumor growth in mouse xenograft models by deactivating SREBP-1, emphasizing the potential of HN1 as a therapeutic target, impacting both external and internal factors, it holds promise as an effective therapeutic strategy for HCC.

The precise clinical diagnosis of prostate cancer still presents inherent challenges, and usually a monitoring of multiple biomarkers is required. In this study, a new aggregation-induced emission (AIE)-based bifunctional strategy was developed for the simultaneous detection of prostate cancer-specific in situ membrane antigens (PSMA) and free antigens (PSA). First, a bifunctional fluorescent probe with double sensing sites (a PSA-specific sensing site and a PSMA-targeted ligand) was constructed. In the presence of PSA, it specifically binds to the PSA-specific sensing site of the probe, resulting in the restoration of the fluorescence signal, enabling linear sensing of PSA. For the detection of PSMA, the PSMA-targeted ligand modified on the probe can specifically recognize PSMA, inducing the aggregation of the AIE material and resulting in an enhanced fluorescence signal. Moreover, a liposome-based artificial cell was developed to simulate the real prostate cancer cell, and it was used to investigate the feasibility of monitoring the two types of antigens. Utilizing this bifunctional fluorescent strategy, a dual-analysis of free serum antigen biomarker of PSA and in-situ membrane antigen of PSMA was achieved. The assay exhibited a wide linearity range for PSA detection from 0.0001 to 0.1 μg/mL, with a low limit of detection (LOD) of 6.18 pg/mL. For PSMA, the obtained LOD is 8.79 pg/mL, with a linearity range from 0.0001 to 0.1 μg/mL. This strategy allows us to simultaneously assess the levels of two types of biomarkers in living human prostatic cancer cells, providing a highly accurate and selective tool for early screening and monitoring of prostatic cancer.

Transcatheter Arterial Chemoembolization (TACE) is the first choice for the treatment of advanced-stage hepatocellular carcinoma (HCC). However, TACE suffers from a lack of specificity and rapid drug release. Herein, a targeted redox-responsive peptide (TRRP) was synthesized and used as a carrier of doxorubicin (DOX) to enhance the efficacy of TACE through tumor cells targeting and controlled drug release.

TRRP has a high loading capacity of DOX and a sensitive drug release behavior at high glutathione (GSH) concentration. Moreover, TRRP could bind to the transferrin receptor on the surface of tumor cells, which enhanced the efficacy of TACE and reduced side effects of TACE. TACE with TRRP@DOX dispersed in lipiodol shows an enhanced therapeutic outcome compared to the treatment with DOX + lipiodol emulsion in orthotopic rat HCC models.

TRRP has a high loading capacity of DOX and a sensitive drug release behavior at GSH concentration. Moreover, TRRP could bind to the transferrin receptor on the surface of tumor cells, which enhanced the efficacy of TACE and reduced side effects of TACE. TACE with TRRP@DOX dispersed in lipiodol shows an enhanced therapeutic outcome compared to the treatment with DOX + lipiodol emulsion in orthotopic rat HCC models.

This study demonstrated that TRRP was a promising therapeutic agent for enhancing TACE therapy for HCC treatment.

The purpose of this study was to interpret real-world clinical data to analyze the surgical safety and survival outcomes of patients with initial unresectable hepatocellular carcinoma (uHCC) after conversion therapy.

A retrospective analysis was performed on 2984 hepatocellular carcinoma (HCC) patients hospitalized in Shandong Cancer Hospital Affiliated to Shandong First Medical University from June 1st, 2019 to June 1st, 2023. Clinicopathological features, response to systemic and/or loco-regional treatments, surgical resection rate after conversion therapy, surgical safety, and postoperative recurrence were analyzed.

A total of 38 patients were successfully converted to obtain surgical resection. 35 patients underwent radical resection. A high objective response rate (ORR) (52.6% under RECIST v1.1 and 78.9% under mRECIST criteria) was observed in patients under conversion therapy, and the disease control rate (DCR) was 100%. Pathologic complete response (pCR) was 42.9%. Treatment-related adverse events (TRAEs) of any grade were observed in 37 patients (97.4%). Safety of conversion or direct surgery continues to improve. The median follow-up time was 19.3 months. The 1-year Disease-free survival (DFS) rate of patients with direct surgery and patients with conversion surgery were 91.4% and 86.8%, respectively.

With conversion therapy, a small percentage (1.81%) of uHCC patients are likely to be converted to radical resection. Local combined systemic therapy is a relatively safe and effective conversion therapy, and the safety of surgery is gradually improved after successful conversion. Preliminary follow-up data showed satisfactory survival benefits for patients undergoing conversion surgery.

This was a retrospective study and it did not interfere with treatment decisions.

Endoplasmic reticulum stress (ERS) and cuproptosis have remarkable effects on hepatocellular carcinoma (HCC) leading to a poor prognosis. The current study aimed to explore credible signature for predicting the prognosis of HCC based on ERS and cuproptosis-related lncRNAs. In our study, clinical and transcriptomic profiles of HCC patients were obtained from the Cancer Genome Atlas (TCGA) database. An ERS and cuproptosis-related lncRNA prognostic signature, including NRAV, SNHG3, LINC00839 and AC004687.1, was determined by correlation tests, Cox regression analysis, least absolute shrinkage, and selection operator (LASSO) methods. Survival and predictive value were evaluated using Kaplan-Meier and receiver operating characteristic (ROC) curves, while calibration and nomograms curves were developed. Besides the enrichment analyses for ERS and cuproptosis-related lncRNAs, mutational status and immune status were assessed with TMB and ESTIMATE. Additionally, consensus cluster analysis was employed to compare cancer subtype differences, while drug sensitivity and immunologic efficacy were evaluated for further exploration. qRT-PCR and CCK-8 were utilized to verify the alteration of the prognostic lncRNAs expression and proliferation in vitro. High-risk groups exhibited poorer prognosis. The signature exhibited robust predictive value as an independent prognostic indicator and showed significant correlation with clinicopathological features. In the enriched analysis, biological membrane pathways were enriched. Low-risk patients had lower TMB and higher immune status. A cluster analysis revealed that cluster 2 had the best clinical immunological efficacy and most active immune function. In brief, our constructed signature with ERS and cuproptosis-related lncRNAs was associated survival outcomes of HCC, and can be used to predict the clinical classification and curative effect.

Since 2020, atezolizumab plus bevacizumab (Ate/Bev) has been the standard first-line therapy for unresectable hepatocellular carcinoma (HCC), but long-term treatment studies are limited. This study evaluated the clinical characteristics and effects of Ate/Bev for over 1 year.

This study included patients with unresectable HCC treated with first-line Ate/Bev between May 2020 and April 2022. Those receiving Ate/Bev for 1 year or more were classified as the long-term treatment group.

Of 246 patients, 69 (28.0%) were in the long-term treatment group, which comprised more proportions of intrahepatic tumor burden < 25%, Eastern Cooperative Oncology Group 0, and a lower proportion of portal vein tumor thrombosis than the short-term treatment group. The long-term treatment group had a higher incidence of atezolizumab-related thyroid dysfunction (31.9% vs. 10.7%, p < 0.001; median time to onset [mTTO], 2.8 months), dermatologic toxicity (29.0% vs. 14.7%, p=0.017; mTTO, 3.3 months), bevacizumab-related hypertension (44.9% vs. 22.0%, p=0.001; mTTO, 4.2 months), and proteinuria (69.6% vs. 38.4%, p < 0.001; mTTO, 6.8 months), compared to the short-term treatment group. Regarding liver function in the long-term treatment group, patients initially classified as Child-Pugh class A decreased from 87.0% to 75.4%, and albumin-bilirubin grade 1 decreased from 68.1% to 50.7% after 1 year of treatment.

The Ate/Bev long-term treatment group had a lower intrahepatic tumor burden, less portal vein tumor thrombosis, and better performance status and liver function at baseline. Atezolizumab-related immunological adverse events emerged relatively early in treatment compared to the bevacizumab-related. Additionally, some patients demonstrated liver function deterioration during long-term Ate/Bev treatment.

Chemotherapeutic drugs, such as cisplatin (cis-dichlorodiamineplatinum [II], cDDP) and 5-fluorouracil (5Fu), are widely used in transarterial chemoembolization (TACE), which is a standard therapy for patients with hepatocellular carcinoma (HCC). Chemoresistance is a major cause of TACE treatment failure in HCC patients. Our previous studies have identified the expression levels of miR-101 responsive genes, such as EED, EZH2, STMN1 and JUNB, exhibit significant correlation with the occurrence and progression of HCC, while the role of miR-101 responsive gene signatures in the chemoresistance of HCC treatment remains unclear. In this study, we identified ubiquitin-coupled enzyme E2D1 (UBE2D1) as a crucial regulatory factor in the chemoresistance of HCC, which is a direct target of miR-101 and exhibits significant correlation with miR-101-responsive gene signatures. The bioinformatics analysis showed the expression of UBE2D1 was significantly increased in HCC tissues and was closely correlated with the poor prognosis. In addition, we analyzed the role of miR-101/UBE2D1 axis in regulating chemo-sensitive of HCC cells. Our results showed that miR-101 increases the DNA damage and apoptosis of HCC cells by inhibiting the expression of UBE2D1, which in turn increases the sensitivity of HCC cells to cDDP and 5Fu both in vitro and in vivo. Therefore, simultaneous assessment of miR-101 and UBE2D1 expression levels might provide an effective approach in preselecting HCC patients with survival benefit from TACE treatment. Moreover, further elucidation of the underlying molecular mechanisms of the miR-101/UBE2D1 axis could provide novel insight for targeted therapy of HCC.

Malnutrition, which is often underestimated in patients with hepatocellular carcinoma (HCC), has a proven adverse effect on survival rates. The purpose of this study was to verify the effectiveness of the cholesterol-modified prognostic nutritional index (CPNI) in determining the nutritional status and predicting overall survival (OS) and recurrence-free survival (RFS) in patients with HCC by comparing it with several other nutritional indicators. This retrospective single-center study enrolled 1450 consecutive HCC patients who underwent curative liver resection from January 2015 to November 2019. We evaluated the prognostic significance of several nutritional indicators, including CPNI, the controlling nutritional status (CONUT), the nutritional risk index (NRI), and the prognostic nutritional index (PNI), by applying time-dependent receiver operating characteristic (ROC) curves, Kaplan-Meier survival analysis, and Cox proportional hazards regression analysis. Among several objective nutrition evaluations (including CPNI, CONUT, NRI, and PNI), CPNI demonstrated the greatest prognostic predictive power for predicting OS. Meanwhile, CPNI demonstrated marginally higher accuracy in predicting RFS compared to PNI, and significantly outperformed CONUT and NRI. Univariate and multivariate analyses suggested that CPNI was an independent risk factor for the OS and RFS of patients with HCC undergoing curative liver resection. In most subgroups, malnutrition as identified by CPNI demonstrates strong stratification ability in predicting both OS and RFS. CPNI serves as an accurate and stable instrument for evaluating nutritional status and forecasting survival outcomes in HCC patients following liver resection, which has the potential to markedly influence clinical decision-making processes and the management of patient care.

N6-methyladenosine (m6A) serves as the most abundant posttranscription modification. However, the role of m6A in tumorigenesis and chemotherapeutic drugs sensitivity remains largely unclear. Present research focuses on the potential function of the m6A writer KIAA1429 in tumor development and sorafenib sensitivity in liver cancer. We found that the level of KIAA1429 was significantly elevated in liver cancer tissues and cells and was closely associated with poorer prognosis. Functionally, KIAA1429 promoted the proliferation and Warburg effect of liver cancer cells in vitro and in vivo. RNA-seq and MeRIP-seq analysis revealed the glycolysis was one of the most affected pathways by KIAA1429, and m6A-modified HK1 was the most likely targeted gene to regulate the Warburg effect. KIAA1429 depletion decreased Warburg effect and increased sorafenib sensitivity in liver cancer. Mechanistically, KIAA1429 could affect the m6A level of HK1 mRNA through directly binding with it. Moreover, KIAA1429 cooperated with the m6A reader HuR to enhance HK1 mRNA stability, thereby upregulating its expression. These findings demonstrated that KIAA1429/HK1 axis decreases the sensitivity of liver cancer cells to sorafenib by regulating the Warburg effect, which may provide a novel therapeutic target for liver cancer treatment.

Hepatocellular carcinoma (HCC) accounts for 85% of liver cancer cases and is the third leading cause of cancer death. Regorafenib is a multi-target inhibitor that dramatically prolongs progression-free survival in HCC patients who have failed sorafenib therapy. However, one of the primary factors limiting regorafenib's clinical utilization is toxicity. Using Clinical Trials.gov and PubMed, we gathered clinical data on regorafenib and conducted a extensive analysis of the medication's adverse reactions and mechanisms. Next, we suggested suitable management techniques to improve regorafenib's effectiveness.

We have reviewed the mechanisms by which regorafenib-induced toxicity occurs and general management strategies through clinical trials of regorafenib. Furthermore, by examining the literature on regorafenib and other tyrosine kinase inhibition, we summarized the mechanics of the onset of regorafenib toxicity and mechanism-based intervention strategies by reviewing the literature related to regorafenib and other tyrosine kinase inhibition.

One of the primary factors restricting regorafenib's clinical utilization and combination therapy is its toxicity reactions. To optimize regorafenib treatment regimens, it is especially important to further understand the specific toxicity mechanisms of regorafenib as a multi-kinase inhibitor.