Hepatocellular carcinoma: clinical frontiers and perspectives

A novel nomogram based on machine learning predicting overall survival for hepatocellular carcinoma patients with dynamic α‑fetoprotein level changes after local resection

The principal aim of the present study was to develop and validate a nomogram predicting overall survival (OS) in patients with α-fetoprotein (AFP)-negative hepatocellular carcinoma (AFP-NHCC) who experience dynamic changes in AFP level after hepatectomy. A cohort of 870 patients were enrolled and randomly assigned into a training cohort (n=600) and a validation cohort (n=270) at a 7:3 ratio. The key variables contributing to the nomogram were determined through random survival forest analysis and multivariate Cox regression. The discriminative ability of the nomogram was evaluated using time-dependent receiver operating characteristic curves and the area under the curves. Furthermore, the nomogram was comprehensively assessed using the concordance index (C-index), calibration curves and clinical decision curve analysis (DCA). Kaplan-Meier (KM) curves analysis was employed to discern survival rates across diverse risk strata of patients. Ultimately, the nomogram incorporated critical factors including sex, tumor size, globulin levels, gamma-glutamyl transferase and fibrinogen levels. In the training and validation cohorts, the C-indexes were 0.72 [95% confidence interval (CI): 0.685-0.755) and 0.664 (95% CI: 0.611-0.717], respectively, attesting to its predictive validity. The nomogram demonstrated excellent calibration and DCA further confirmed its clinical usefulness. Additionally, KM curve analysis unveiled statistically significant differences in OS among three distinct risk groups. In conclusion, the present study successfully formulated a nomogram predicting 3-, 5- and 8-year OS in patients with AFP-NHCC with dynamic changes in AFP level post-local resection. This model serves as a valuable tool for clinicians to promptly identify high-risk patients, thereby facilitating timely interventions and potentially enhancing patient survival outcomes.

Comprehensive assessment of cleavage and polyadenylation specificity factors in hepatocellular carcinoma: Expression, prognostic significance and immune infiltration analysis

Hepatocellular carcinoma (HCC), a prevalent and highly malignant form of liver cancer, poses significant global health challenges. Previous studies have suggested that alterations in cleavage and polyadenylation specificity factors (CPSFs) play a role in the development and prognosis of HCC. Despite these insights, a thorough evaluation of CPSFs' expression levels, prognostic value and association with immune infiltration in HCC is lacking. To address this gap, the present study conducted a systematic analysis leveraging multiple bioinformatics databases to elucidate the functions of CPSFs in HCC. To comprehensively investigate the role of CPSFs in HCC, a diverse array of bioinformatics tools and publicly accessible datasets were utilized. The present study investigated the gene expression patterns, clinicopathological correlations, and diagnostic and prognostic capabilities of CPSFs. Furthermore, genetic variations, co-expression networks and the role of CPSFs in immune cell infiltration and tumor-related pathways were examined. To elucidate the biological functions of CPSF-associated genes, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses were integrated. For experimental validation, reverse transcription-quantitative polymerase chain reaction was used to assess gene expression and the Cell Counting Kit-8 assay was utilized to evaluate the effects of CPSFs on HCC cell proliferation. Our analysis offers valuable insights into the molecular mechanisms through which CPSFs contribute to HCC progression. The current findings suggest that CPSFs, particularly CPSF1, CPSF3, CPSF4 and CPSF6, exhibit significant transcriptional upregulation in HCC, with their overexpression closely tied to advanced tumor progression. These CPSFs showed diagnostic and prognostic significance in HCC. Additionally, CPSF expression was associated with immune cell infiltration and activation status. Functional enrichment analysis indicated that CPSF1, CPSF3, CPSF4, CPSF6 and CPSF7 are involved in cancer-related signaling pathways, highlighting their role in tumor immune modulation. Experimental validation demonstrated that the expression of CPSF3 and CPSF7 was notably greater in the HCC cell lines than in the normal liver cells. Knockdown of CPSF3 and CPSF7 inhibited HCC cell proliferation, suggesting their potential oncogenic roles. This research offers an in-depth evaluation of the expression patterns, prognostic relevance and immune modulation-related functions of CPSFs in HCC. The observed upregulation of CPSFs in HCC, coupled with their association with poor clinical outcomes and immune system activation, highlights their potential as prognostic indicators. Nonetheless, additional experimental studies are needed to fully elucidate the molecular mechanisms and clinical significance of CPSFs in HCC.

L-741626 inhibits hepatocellular carcinoma progression by targeting Ref-1 to suppress MAPK/ERK signalling pathway activity

Hepatocellular carcinoma (HCC) is a common and challenging malignancy of the digestive tract. Unfortunately, patients with advanced HCC frequently experience limited long-term benefits from current treatments, highlighting the critical need for innovative therapeutic agents. The discovery and development of new small-molecule compounds that target tumours have become crucial aspects of cancer research. In this study, we report on L-741626, a compound that has significant inhibitory effects on HCC. Both in vivo and in vitro experiments confirmed that L-741626 inhibited the growth of HCC by suppressing the MAPK/ERK signalling pathway. Molecular docking simulations and drug affinity responsive target stability assays further identified redox Factor 1 (Ref-1) as a target of L-741626. Ref-1 is overexpressed in HCC and is correlated with poor prognosis and high stage. Further studies demonstrated that Ref-1 interacts with CRAF, a crucial component of the MAPK/ERK signalling pathway. Knockdown of Ref-1 in HCC cells led to inhibition of the MAPK/ERK pathway. Sorafenib is a well-established targeted therapy for the treatment of HCC, with its primary antitumor mechanism being the inhibition of the MAPK/ERK signalling pathway. However, the presence of tumor stem cells is a key factor contributing to resistance to sorafenib. Our study demonstrates that L-741626 can suppress tumor stemness in HCC. The combination of L-741626 and sorafenib significantly enhances the sensitivity of HCC, resulting in increased tumoricidal effects. Our findings reveal a novel pharmacological effect of L-741626, which inhibits MAPK/ERK signalling activity in HCC by targeting Ref-1. Furthermore, L-741626 exhibits a synergistic effect when combined with sorafenib, suggesting a new potential approach for HCC treatment.

A nomogram for prognostic prediction and for therapeutic decision making of elderly HCC patients

BACKGROUND

Hepatocellular carcinoma (HCC) has a poor prognosis, especially in elderly HCC patients. A growing number of studies have confirmed that nomogram based on demographic information, pathologic information, and treatment modalities are effective in predicting the prognosis of cancer patients. We aimed to develop an individualized and clinically useful nomogram for elderly patients.We also aimed to investigate the prognostic significance of different treatment modalities.

METHODS

A total of 7694 eligible elderly patients with HCC were identified from the Surveillance, Epidemiology, and End Results (SEER) database between 2000 and 2020. The patients were randomized into the training cohort (n = 5385) and the validation cohort (n = 2309) at a 7:3 ratio. Univariate and multivariate COX regression analyses were performed in the training cohort. Based on the results of the regression analysis, a nomogram model for predicting the prognosis of elderly HCC patients was established and verified in the validation cohort. The performance of the nomogram was evaluated by using receiver operating characteristic curve (ROC) and calibration curve.Finally, we grouped patients by surgery, chemotherapy, radiotherapy separately, and then used Propensity Score Matching (PSM) to balance other variables to explore prognostic significance of different treatment modalities for elderly Hepatocellular carcinoma.

RESULTS

Regression analysis showed that Age, Grade, T.stage, N.stage, M.stage, Chemotherapy, Radiotherapy, and Surgery had significant prognosis and developed nomogram based on the above 8 variables.This nomogram showed good accuracy in predicting one-year OS of the training cohort (AUC = 0.745) and was confirmed in the validation cohort (AUC = 0.786). The calibration curve shows that the actual survival probability and the predicted survival probability are in good agreement. A risk classification system was established to risk-stratify elderly patients with HCC, ROC was used to validate the efficacy of nomogram model in differentiating between high and low risk groups(p < 0.01),and verify in the validation cohort(p < 0.01).Finally, after grouping elderly HCC patients according to different treatment modalities, subgroup analysis showed that: The survival time of the surgery group was longer than that of the no-surgery group. Median overall survival was longer in the chemotherapy group than in the no-chemotherapy group, but there was no advantage in long-term prognosis. Median overall survival was also significantly longer in the radiotherapy group than in the no-radiotherapy group, but when analyzed in subgroups, it was found that in the T4 stage and GradeIV subgroups, radiotherapy patients had a worse prognosis than those who did not receive radiotherapy.

CONCLUSIONS

The nomogram established based on demographic characteristics and other clinical parameters can be used as an effective tool to predict the prognosis of elderly HCC patients, and its good prediction efficiency can realize the individualized treatment plan formulation and follow-up management of elderly HCC patients.

Reconstructing the hepatocellular carcinoma microenvironment: the current status and challenges of 3D culture technology

Hepatocellular carcinoma (HCC), with high incidence and mortality rates among digestive system diseases, has become a focal point for researchers. However, the more we learn about HCC, the more apparent it becomes that our understanding is still superficial. The successes and failures of numerous studies underscore the urgent need for precision medicine in cancer treatment. A crucial aspect of preclinical research in precision medicine is the experimental model, particularly cell culture models. Among these, 3D cell culture models can effectively integrate and simulate the tumor microenvironment, closely reflecting the in vivo conditions of patients. This capability provides a solid theoretical foundation for personalized treatment approaches. In this review, we first outline the common in vitro 3D cell culture models and examine the essential elements within the tumor microenvironment, followed by insights into the current state and future developments of 3D in vitro cell models for HCC.

Does very high alpha-fetoprotein affect very early hepatocellular carcinoma receiving hepatectomy?

BACKGROUND

Following liver resection (LR), recurrence is critical to the prognosis of hepatocellular carcinoma (HCC). A higher level of alpha-fetoprotein (AFP) is typically associated with poor prognosis and recurrence concerns. Specifically, we attempted to determine whether high AFP (> 1,000ng/ml) and other potentially relevant factors affect survivals of patients with BCLC stage 0 HCC after LR.

METHODS

This retrospective study focused on 223 patients who received LR for stage 0 HCC of BCLC between 2004 and 2012. In patients with a low AFP (n = 200) and a high AFP (n = 23), we conducted chi-squares, independent t-test, Cox regression, and Kaplan-Meier survival analyses to investigate the relationship between clinicopathologic variables and outcomes.

RESULTS

The long-term disease-free survival (DFS) (p = 0.799) and the overall survival (OS) (p = 0.942) between the low and high AFP groups were comparable. The two groups' clinicopathologic features-tumor size, presence of a tumor capsule, cirrhosis, histology activity index (HAI), and microvascular invasion-appear to be similar. Additionally, we observed significant associations between HCC recurrence and ICG R15, HAI score, and cirrhosis, but not AFP.

CONCLUSIONS

In stage 0 HCC, the consideration of curative-intent therapy in these patients should begin as soon as possible, irrespective of AFP levels.

Insights into the history and trends of nanotechnology for the treatment of hepatocellular carcinoma: a bibliometric-based visual analysis

BACKGROUND

Nanotechnology has great potential and advantages in the treatment of hepatocellular carcinoma (HCC), but the research trends and future directions are not yet clear.

OBJECTIVES

Analyze the development trajectory, research hotspots, and future trends of nanotechnology and HCC research globally in the past 20 years, providing a more comprehensive and intuitive reference for researchers in this field.

METHODS

Retrieve relevant literature on nanotechnology and HCC research in the Web of Science (WOS) Core Collection database, and conduct bibliometric analysis using software such as CiteSpace, VOSviewer, and SCImago Graphica.

RESULTS

A total of 852 English publications meeting the criteria were retrieved from the WOS database, with an overall increasing trend in the number of publications and citation frequency over the years. China leads in the number of publications and international collaborations, followed by the USA and India. The most influential research institution is the Chinese Academy of Sciences, the most influential scholar/team is the Rahman, Mahfoozur team, and the journal with the most publications is the International Journal of Nanomedicine. A comprehensive analysis reveals that the current main research directions include new types of nanoparticles, targeted drug delivery systems, photothermal/photodynamic therapy, gene delivery systems, diagnostics, and imaging. It is anticipated that further collaboration among scholars, institutions, and countries will accelerate the development of nanotechnology in the field of HCC research.

CONCLUSION

This study provides an in-depth analysis of the research status and development trends of nanotechnology in treating HCC from a bibliometric perspective, offering possible guidance for researchers to explore hot topics and frontiers, select suitable journals, and partners in this field.

Histogram analysis of multiple mathematical diffusion-weighted imaging models for preoperative prediction of Ki-67 expression in hepatocellular carcinoma

Objective

To explore whether a combination of clinico-radiological factors and histogram parameters based on monoexponential, biexponential, and stretched exponential models derived from the whole-tumor volume on diffusion-weighted imaging (DWI) could predict Ki-67 expression in hepatocellular carcinoma(HCC).

Materials and Methods

Histogram parameters based on whole-tumor volumes were derived from monoexponential model, biexponential model, and stretched exponential model. Histogram parameters were compared between HCCs with high and low Ki-67 expression. Multivariate logistic regression and receiver operating characteristic curves were used to assess the ability to predict Ki-67 expression (expression index ≤ 20% vs. >20%).

Results

In the training and test set, the 5th percentile of distributed diffusion coefficient (DDC) yielded the area under the curve (AUC) value of 0.816 (95% CI 0.713 to 0.894) and 0.867 (95% CI 0.655 to 0.972), respectively. Multivariable analysis showed that alpha-fetoprotein (AFP) level, skewness of perfusion fraction(f), and 5th percentile of DDC were independent predictors of high Ki-67 expression in HCCs. In the training and test sets, the AUC of the combined model for predicting high Ki-67 expression in HCCs were 0.902 (95% CI 0.814 to 0.957) and 0.908 (95% CI 0.707 to 0.989), respectively.

Conclusion

Histogram parameters of multiple mathematical DWI models can be useful for predicting high Ki-67 expression in HCCs, and our combined model based on AFP level, skewness of f, and 5th percentile of DDC may be an effective approach for predicting Ki-67 expression in HCCs.

A deep learning-based psi CT network effectively predicts early recurrence after hepatectomy in HCC patients

BACKGROUND

Hepatocellular carcinoma (HCC) exhibits a high recurrence rate, and early recurrence significantly jeopardizes patient prognosis, necessitating reliable methods for early recurrence prediction.

METHODS

Utilizing multi-institutional data and integrating deep learning (DL) techniques, we established a neural network based on DenseNet capable of concurrently processing patients' triphasic enhanced CT scans. By incorporating an attention mechanism, the model automatically focuses on regions that significantly impact patient survival. Performance metrics were first evaluated using the concordance index (C-index), calibration curves, and decision curves based on the training and validation cohorts. Finally, class activation map (CAM) techniques were employed to visualize the regions of interest identified by the model. After model construction, five-fold cross-validation was performed to assess overfitting risks and further evaluate model stability.

RESULTS

We retrospectively collected data from 302 cases across five centers, including patients who underwent Partial Hepatectomy between December 2016 and December 2022. During model development, 180 patients from Institution I formed the training cohort, while the remaining patients comprised the validation cohort. The area under the ROC curve (AUC) for two-year outcomes was 0.797 in the validation cohort. Calibration curves, survival curves, and decision curve analysis (DCA) demonstrated the model's robust performance. CAMs revealed that the model primarily focuses on intra-abdominal solid organs, consistent with clinical experience. After model development, datasets were merged for cross-validation. The best model achieved a C-index of 0.774 in the validation cohort, with five-fold cross-validation yielding an average C-index of 0.778. The 95% confidence interval (CI) for the C-index, derived from cross-validation, ranged from 0.762 to 0.793.

CONCLUSION

Our DL-based enhanced CT network shows promise in predicting early recurrence in patients, representing a potential new strategy for early recurrence prediction in HCC.

CRAFITY score and nomogram predict the clinical efficacy of lenvatinib combined with immune checkpoint inhibitors in hepatocellular carcinoma

BACKGROUND

The CRAFITY score is mainly utilized for hepatocellular carcinoma (HCC) patients receiving atezolizumab and bevacizumab, with little investigation in its predictive capacity for alternative regimens, such as lenvatinib and programmed cell death protein 1 (PD-1) inhibitors, which are widely utilized in Chinese clinical practice.

AIM

To look at the predictive significance of the CRAFITY score in HCC patients taking lenvatinib and PD-1 inhibitors.

METHODS

The retrospective investigation consisted of 192 patients with incurable HCC who received lenvatinib and PD-1 inhibitors between January 2018 and January 2022. Patients were stratified according to CRAFITY score (based on baseline alpha-fetoprotein and C-reactive protein levels) into CRAFITY-low, CRAFITY-intermediate, and CRAFITY-high groups. Overall survival (OS) and progression-free survival (PFS) were assessed using Kaplan-Meier analysis, and independent prognostic factors were identified through Cox regression analysis. Nomograms were created to forecast survival for a year.

RESULTS

The median PFS and OS were the longest for patients in the CRAFITY-low group, followed by those in the CRAFITY-intermediate and CRAFITY-high groups (median PFS: 8.4 months, 6.0 months, and 3.1 months, P < 0.0001; median OS: 33.4 months, 19.2 months, and 6.6 months, P < 0.0001). Both the objective response rate (5%, 19.6%, and 22%, P = 0.0669) and the disease control rate (50%, 76.5%, and 80%, P = 0.0023) were considerably lower in the CRAFITY-high group. The findings from the multivariate analysis showed that a nomogram which included the tumor number, prior transarterial chemoembolization history, and CRAFITY score predicted 12-month survival with an area under the curve of 0.788 (95% confidence interval: 0.718-0.859), which was in good agreement with actual data.

CONCLUSION

The CRAFITY score is a valuable predictor of survival and treatment outcomes in patients receiving lenvatinib and PD-1 inhibitors.

The effect of perioperative probiotics and synbiotics on postoperative infections in patients undergoing major liver surgery: a meta-analysis of randomized controlled trials

Objective

To evaluate the effect of perioperative probiotics or synbiotics on the incidence of postoperative infections following major liver surgery.

Design

Meta-analysis.

Data sources

PubMed, Embase, Scopus, and the Cochrane Library for relevant English-language studies published up to February 21st, 2024.

Eligibility criteria

Randomized controlled trials evaluating perioperative probiotics or synbiotics for preventing postoperative infections in patients undergoing major liver surgery.

Data extraction and synthesis

Outcomes included postoperative infection incidence, antibiotic therapy duration, length of stay in intensive care unit (ICU) and hospital. A random-effect model was adopted for the meta-analysis. The quality of included studies was evaluated using the Cochrane risk of bias tool.

Results

Ten studies involving 588 patients were included. Pooled analyses revealed that perioperative probiotics or synbiotics significantly reduced postoperative infection incidence (RR 0.36, 95% CI [0.24-0.54], P < 0.0001, I2 = 6%) and antibiotic therapy duration (MD -2.82, 95% CI [-3.13 to -2.51], P < 0.001, I2 = 0%). No significant differences were observed in length of stay in ICU (MD -0.25, 95% CI [-0.84-0.34], P = 0.41, I2 = 64%) or length of stay in hospital (MD -1.25, 95% CI [-2.74-0.25], P = 0.10, I2 = 56%).

Conclusions

This meta-analysis suggests that perioperative administration of probiotics or synbiotics may reduce the incidence of postoperative infections and duration of antibiotic therapy. Their use as adjunctive therapy during the perioperative period could be considered for patients undergoing major liver surgery.

Emerging roles of CircRNA-miRNA networks in cancer development and therapeutic response

The complex interplay of epigenetic factors is essential in regulating the hallmarks of cancer and orchestrating intricate molecular interactions during tumor progression. Circular RNAs (circRNAs), known for their covalently closed loop structures, are non-coding RNA molecules exceptionally resistant to enzymatic degradation, which enhances their stability and regulatory functions in cancer. Similarly, microRNAs (miRNAs) are endogenous non-coding RNAs with linear structures that regulate cellular biological processes akin to circRNAs. Both miRNAs and circRNAs exhibit aberrant expressions in various cancers. Notably, circRNAs can function as sponges for miRNAs, influencing their activity. The circRNA/miRNA interaction plays a pivotal role in the regulation of cancer progression, including in brain, gastrointestinal, gynecological, and urological cancers, influencing key processes such as proliferation, apoptosis, invasion, autophagy, epithelial-mesenchymal transition (EMT), and more. Additionally, this interaction impacts the response of tumor cells to radiotherapy and chemotherapy and contributes to immune evasion, a significant challenge in cancer therapy. Both circRNAs and miRNAs hold potential as biomarkers for cancer prognosis and diagnosis. In this review, we delve into the circRNA-miRNA circuit within human cancers, emphasizing their role in regulating cancer hallmarks and treatment responses. This discussion aims to provide insights for future research to better understand their functions and potentially guide targeted treatments for cancer patients using circRNA/miRNA-based strategies.

Overexpression of MCM3 as a prognostic biomarker correlated with cell proliferation, cell cycle and immune regulation in hepatocellular carcinoma

Background: Hepatocellular carcinoma (HCC) is a common malignant tumor and has a poor prognosis. Minichromosome maintenance 3 (MCM3) protein is upregulated in several cancers, but the biological function, molecular mechanisms and the relationship with tumor immunity of MCM3 in HCC remain poorly understood. Methods: The expression levels and prognosis role of MCM3 in HCC were analyzed based on TCGA, GEO and LIHC databases, and 40 paired tissue samples. We conducted Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) analyses on these DEGs to explore the potential impact of MCM3 on the biological behavior of HCC. In addition, flow cytometry, CCK-8, EdU, colony formation and nude mice xenograft models were employed to investigate the biological functions of MCM3. Furthermore, immune cell infiltration, markers and checkpoint-associated genes were analyzed by TIMER 2.0, ACLBI and TCGA database. Results: In this study, we investigated the expression and function of MCM3 in HCC. MCM3 was highly expressed in a variety of tumors including HCC, and high MCM3 expression was positively associated with various clinicopathological parameters and acted as an independent factor of the poor prognosis for overall survival in HCC. Meanwhile, immune characteristics analysis indicated that high MCM3 expression was related to the level of immune cell infiltration and immune checkpoints in HCC. Our functional enrichment analysis indicated that MCM3 is mainly involved in the cell cycle and cell metabolic related pathways. Moreover, in vitro and in vivo experiments further confirmed that MCM3 could promote the proliferation of HCC by regulating cell cycle progression. Conclusions: Our results indicated that MCM3 was up-regulated in HCC and might become a biomarker in the diagnosis and treatment of patients with HCC.

Brazilian Stingless Bee Geopropolis Exhibit Antioxidant Properties and Anticancer Potential Against Hepatocellular Carcinoma Cells

Hepatocellular carcinoma (HCC) is the third most common cancer in terms of mortality and the sixth in incidence worldwide. Treatment varies by tumor stage, but low survival rates are common across all stages. Due to these poor outcomes, there is a critical need for new treatment options and lead compounds, prompting an active search. Geopropolis has been identified as a source of bioactive compounds with various pharmacological activities, including anticancer effects against different types of cancer. Since stingless bees may be selective for native botanical species, the geopropolis they produce can have an unusual chemical profile. In this study, we report the antioxidant properties and anticancer potential of geopropolis extracts produced by Melipona bicolor, M. marginata, and M. mondury using 2D- and 3D- cell culture models. The chemical profile of these samples using UPLC-QTOF HRMS/MS indicated ferreirin and dihydrokaempferide as the main flavonoids, along with cupressic acid and 15-acetoxyisocupressic acid as the most abundant diterpenoids. Interestingly, artepillin C, a main component of green propolis, was also detected. The geopropolis extracts showed good cell viability inhibition and selectivity indices in comparison to cisplatin used as an HCC treatment option. The antioxidant capacity of the geopropolis extracts was high and correlated with the cytotoxic effect against the HCC cells. Investigations into the mechanisms show the ability of the extracts to induce apoptosis and suppress the clonogenic potential of these cell lines. We also observed an inhibition of spheroid formation, viability, and morphology alterations. This is the first time the effects of geopropolis are described in a panel of HCC cell lines.

Resveratrol Enhances Anticancer Effects of Silybin on HepG2 Cells and H22 Tumor-bearing Mice via Inducing G2/M Phase Arrest and Increasing Bax/Bcl-2 Ratio

BACKGROUND

Silybin, a major flavonoid extracted from the seeds of milk thistle, has a strong hepatoprotective but weak anti-hepatoma activity. Screening another natural ingredient and combining it with silybin is expected to improve the anti-hepatoma efficacy of silybin.

OBJECTIVE

The objective of this study was to investigate the synergistic anti-hepatoma effect of resveratrol and silybin on HepG2 cells and H22 tumor-bearing mice in hepatocellular carcinoma (HCC) in vitro and in vivo, respectively.

METHODS

Cell viability, scratch wound, clone formation, cell apoptosis, cell cycle, and western blot analysis of HepG2 cells were used to investigate the synergistic effects in vitro of the combination resveratrol with silybin. Growth rates, tumor weights, organ indexes, and histological pathological examination in H22 tumor-bearing mice were used to investigate the synergistic effects in vivo.

RESULTS

The combination of resveratrol (50 μg/mL) and silybin (100 μg/mL) significantly suppressed cell viability, whose combination index (CI) was 1.63 (>1.15), indicating the best synergism. The combination exhibited the synergistic effect in blocking the migration and proliferative capacity of HepG2 cells in the measurement in vitro. In particular, resveratrol enhanced the upregulation of Bcl-2 expression and the downregulation of Bax expression with a concurrent increase in the Bax/Bcl-2 ratio. The combination of resveratrol (50 mg/kg) and silybin (100 mg/kg) reduced the tumor weight, inhibited the growth rate, increased the organ indexes, and destroyed the tumor tissue morphology in H22 tumor-bearing mice.

CONCLUSION

Resveratrol was found to exhibit synergistic anti-cancer effects with silybin on HepG2 cells and H22 tumor-bearing mice.

The miRNA-mRNA Regulatory Network in Human Hepatocellular Carcinoma by Transcriptomic Analysis From GEO

BACKGROUND

Bioinformatics analysis of hepatocellular carcinoma (HCC) expression profiles can aid in understanding its molecular mechanisms and identifying new targets for diagnosis and treatment.

AIM

In this study, we analyzed expression profile datasets and miRNA expression profiles related to HCC from the GEO using R software to detect differentially expressed genes (DEGs) and differentially expressed miRNAs (DEmiRs).

METHODS AND RESULTS

Common DEGs were identified, and a PPI network was constructed using the STRING database and Cytoscape software to identify hub genes. The reduced levels of tumor suppressor miRNAs or down regulated DEmiRs may be increased levels of oncogenes, the oncomirs or up regulated DEmiRs may be decreased levels of tumor suppressor genes in cancerous cells. According to this strategy, increased and decreased DEGs, also increased and decreased DEmiRs were selected. The multimir package was employed to predict target genes for DEmiRs then DEmiRs-hub gene network created. We identified approximately 1000 overlapping DEGs and 60 DEmiRs. Hub genes included RRM2, MELK, KIF11, KIF23, NCAPG, DLGAP5, BUB1B, AURKB, CCNB1, KIF20A, CCNA2, TTK, PBK, TOP2A, CDK1, MAD2L1, BIRC5, ASPM, CDCA8, and CENPF, all associated with significantly worse survival in HCC. miR-224, miR-24, miR-182, miRNA-1-3p, miR-30a, miR-27a, and miR-214 were identified as important DEmiRs with targeting more than six hub genes.

CONCLUSION

Generally, our findings offer insight into the interaction of hub genes and miRNAs in the development of HCC by bioinformatics analysis, information that may prove useful in identifying biomarkers and therapeutic targets in HCC.

Comprehensive analysis of bioinformatics and system biology reveals the association between Girdin and hepatocellular carcinoma

INTRODUCTION

Hepatocellular carcinoma is one of the leading causes of cancer-related mortality worldwide. The actin-binding protein Girdin is overexpressed in various tumors, promoting tumorigenesis and progression. However, the exact mechanisms by which Girdin regulates liver cancer remain poorly understood.

METHODS

This study comprehensively analyzed the expression level of Girdin in liver cancer and adjacent tissue, along with the correlation between Girdin expression and the clinical characteristics and prognosis of liver cancer. The analysis integrated data from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and Clinical Proteomic Tumor Analysis Consortium (CPTAC) database. Subsequently, Girdin expression was knocked down to elucidate its role in the progression of liver cancer. Transcriptome sequencing was employed to investigate the mechanistic underpinnings of Girdin's regulatory impact on liver cancer. Additionally, the Comparative Toxicogenomics Database (CTD) was utilized to identify potential drugs or molecules for liver cancer treatment.

RESULTS

The findings revealed elevated Girdin expression in liver cancer tissues, and heightened Girdin expression correlating with adverse clinical features and prognosis. Silencing of Girdin markedly impeded the proliferation and migration of hepatocellular carcinoma cells. Moreover, transcriptome sequencing demonstrated that silencing Girdin led to differential expression of 176 genes and inhibition of the PI3K/Akt signaling pathway, as well as its upstream pathways-Cytokine-cytokine receptor interaction and Chemokine signaling pathway. Ultimately, we propose that Imatinib Mesylate, Orantinib, Resveratrol, Sorafenib, and Curcumin may interact with Girdin, potentially contributing to the treatment of liver cancer.

CONCLUSION

This study reveals the association between Girdin and hepatocellular carcinoma, providing novel clues for future research and treatment of hepatocellular carcinoma.

Adjuvant sorafenib for hepatocellular carcinoma after radiofrequency ablation versus radiofrequency ablation: analysis of its efficacy and safety

Objectives

For the treatment of early hepatocellular carcinoma, we compared the efficacy and safety of radiofrequency ablation (RFA) alone and radiofrequency ablation combined with sorafenib (RFA+Sor).

Methods

A total of 164 patients with early HCC were included in the study. There were 87 patients who underwent RFA alone, and 77 patients who underwent RFA+Sor treatment. Overall survival (OS) was the primary endpoint of the study, and recurrence-free survival (RFS) and safety were the secondary endpoints.

Results

According to the RFA group, the RFS rates were 74.7%, 29.9%, and 11.5% at 1, 2, and 3 years, whereas in the RFA+Sor group, the RFS rates were 72.7%, 19.5%, and 11.7% at 1, 2, and 3 years (P>0.05). RFA and RFA+Sor groups had median OS of 35.0 and 41.0 months, respectively (P>0.05). For the RFA and RFA+Sor groups, the median RFS was 17.0 and 16.0 months, respectively (P>0.05). Based on the univariate regression analysis, there was no statistically significant difference between the subgroups (P>0.05). Skin rashes only occurred in the RFA+Sor group, and other adverse effects were not significantly different between the two groups (P>0.05).

Conclusions

Treatment with RFA+Sor treatment did not result in a longer OS than treatment with only RFA, however, the adverse effects of adjuvant Sorafenib were acceptable.

The assessment of impaired liver function and prognosis in hepatocellular carcinoma

INTRODUCTION

The impairment of liver function strongly limits the therapeutic options for hepatocellular carcinoma (HCC), and the assessment of liver function is key to finding the appropriate therapy for patients suffering from this disease. Furthermore, preexisting liver dysfunction has a negative impact on the prognosis of patients in addition to the malignant potential of HCC. Hence, defining the optimal treatment of patients with HCC requires a comprehensive examination with liver function being a crucial part of it.

AREAS COVERED

This review will provide an overview of the currently existing methods for evaluating the liver function in patients with HCC. Assessment of liver function includes scoring systems but also functional and technical methods. In addition, the role of these tests in different treatment facilities such as liver resection, transplantation, interventional and systemic therapy is summarized.

EXPERT OPINION

A comprehensive pretherapeutic assessment of the liver function includes laboratory-based scoring systems, as well as imaging- and non-imaging-based functional tests. Combining diverse parameters can help to improve the safety and efficacy of HCC therapy particularly in patients with compromised liver function. Future research should focus on optimizing pretherapeutic assessment recommendations for each therapy.

Immunotherapy Responses in Viral Hepatitis-Induced HCC: A Systematic Review and Meta-Analysis

Background: Hepatocellular carcinoma (HCC) is a prevalent liver cancer with poor prognosis, often linked to hepatitis B (HBV) and C (HCV) infections. This meta-analysis evaluates the efficacy of immunotherapy in HCC, particularly in cases arising from viral hepatitis. Methods: In adherence to PRISMA Statement 2020 guidelines, the immunotherapeutic outcomes comprised objective response rate (ORR), progression-free survival (PFS), and overall survival (OS). Data were analyzed from randomized controlled trials up to April 2024 using the fixed-effects models in R (V.4.3.3.) and RevMan (Cochrane). Results: This study included 9 trials with 5316 patients. The ORR was slightly higher in the viral group at 27.93% compared to 24.07% in the non-viral group, though this difference was not significant (p = 0.15). Viral HCC patients exhibited a median PFS of 7.3 months (IQR: 6.2-8.4) compared to 5.8 months (IQR: 5.48-6.13) in non-viral patients, a significant improvement (p = 0.005). Similarly, median OS was longer in the viral group at 16.8 months (IQR: 12.99-20.61) versus 15.2 months (IQR: 13.25-17.15) for non-viral HCC, which was also significant (p < 0.0001). The median OS for viral HCC was 16.8 months (IQR: 14.11-19.49 months), with HBV patients experiencing slightly higher survival at 17.15 months (IQR: 14.3-20 months) compared to 16.8 months (IQR: 12.99-20.61 months) for HCV patients; this difference was not statistically significant (p = 0.89). Conclusions: Immunotherapy shows potential in treating HCC, with significantly better outcomes in viral HCC, particularly HBV-associated cases. The heterogeneity highlights the need for personalized treatment approaches based on the viral background of HCC patients. Further research should aim to optimize these therapies to improve survival rates.

Regulatory Mechanism of Protein Crotonylation and Its Relationship with Cancer

Crotonylation is a recently discovered protein acyl modification that shares many enzymes with acetylation. However, it possesses a distinct regulatory mechanism and biological function due to its unique crotonyl structure. Since the discovery of crotonylation in 2011, numerous crotonylation sites have been identified in both histones and other proteins. In recent studies, crotonylation was found to play a role in various diseases and biological processes. This paper reviews the initial discovery and regulatory mechanisms of crotonylation, including various writer, reader, and eraser proteins. Finally, we emphasize the relationship of dysregulated protein crotonylation with eight common malignancies, including cervical, prostate, liver, and lung cancer, providing new potential therapeutic targets.

Vitamin U alleviates AFB1-induced hepatotoxicity in pregnant and lactating mice by regulating the Nrf2/Hmox1 pathway

This study investigated the protective effect of Vitamin U on liver injury induced by aflatoxin B1 (AFB1) in maternal mice. 25 pregnant ICR mice were randomly divided into five groups: the AFB1 group (AF, 0.3 mg AFB1/kg b.w.), the Vitamin U group (U, 50 mg Vitamin U/kg b.w.), the AFB1 + Vitamin U group (AU, 50 mg Vitamin U /kg b.w. + 0.3 mg AFB1/kg b.w.), the control group (DMSO), and the MOCK group (distilled water). They were administered substances by gavage every day for 28 days. Results indicated that exposure to AFB1 increased the liver index and caused histological disruptions. Elevated serum levels of ALT and ALP were observed, along with a significant increase in liver MDA content and a decrease in GSH-Px and T-SOD levels. Moreover, the Keap1 and Hmox1 gene was downregulated with statistical significance, while the IL1β and TNFα gene were significantly upregulated. Vitamin U was demonstrated by the organized structure of liver cells in tissue slices, effectively reducing liver cell necrosis. This intervention was associated with a significant decrease in serum ALT and ALP activities, as well as a significant decrease in liver MDA content. Additionally, there were significant increases in liver T-SOD and GSH-Px levels, along with upregulation of mRNA and protein expression of Nfr2, Hmox1 and Keap1, and downregulation of mRNA expression of the IL1β gene. In summary, Vitamin U mitigated oxidative stress-induced liver injury by modulating the Nrf2/Hmox1 signaling pathway and inflammatory factors affected by AFB1.

Radiogenomics of Intrahepatic Cholangiocarcinoma: Correlation of Imaging Features With BAP1 and FGFR Molecular Subtypes

PURPOSE

Clinical research has shown unique tumor behavioral characteristics of BRCA -associated protein-1- ( BAP1 -) and fibroblast growth factor receptor ( FGFR )-mutated intrahepatic cholangiocarcinomas (CCAs), with BAP1 -mutated tumors demonstrating more aggressive forms of disease and FGFR -altered CCAs showing more indolent behavior. We performed a retrospective case-control study to evaluate for unique imaging features associated with BAP1 and FGFR genomic markers in intrahepatic CCA (iCCA).

METHODS

Multiple imaging features of iCCA at first staging were analyzed by 2 abdominal radiologists blinded to genomic data. Growth and development of metastases at available follow-up imaging were also recorded, as were basic clinical cohort data. Types of iCCA analyzed included those with BAP1 , FGFR , or both alterations, as well as cases with low mutational burden or mutations with low clinical impact, which served as a control or "wild-type" group. There were 18 cases in the FGFR group, 10 with BAP1 mutations, and 31 wild types (controls).

RESULTS

Cases with BAP1 mutations showed significantly larger growth at first year of follow-up ( P = 0.03) and more frequent tumor-associated biliary ductal dilatation ( P = 0.04) compared with controls. FGFR -altered cases showed more infiltrative margins compared with controls ( P = 0.047) and demonstrated less enhancement between arterial to portal venous phases ( P = 0.02). BAP1 and FGFR groups had more cases with stage IV disease at presentation than controls ( P = 0.025, P = 0.006).

CONCLUSION

Compared with wild-type iCCAs, FGFR -mutated tumors often demonstrate infiltrative margins, and BAP1 tumors show increased biliary ductal dilatation at presentation. BAP1 -mutated cases had significantly larger growth at first-year restaging.

LncRNA SLC9A3-AS1 knockdown increases the sensitivity of liver cancer cell to triptolide by regulating miR-449b-5p-mediated glycolysis

Triptolide (TP) is involved in the progression of liver cancer. However, the detailed molecular network regulated through TP is still unclear. Long non-coding RNA (LncRNA) SLC9A3 exerts roles in various pathological progresses. Nevertheless, whether SLC9A3 affects the sensitivity of liver cancer cells to TP have not been uncovered. The content of SLC9A3-AS1 and miR-449b-5p was estimated by utilizing quantitative real-time polymerase-chain reaction (qRT-PCR). Cell counting kit 8 (CCK-8) assay was introduced to assess cell viability. Additionally, cell viability as well as invasion was tested via transwell assay. The direct binding between miR-449b-5p and SLC9A3-AS1 or LDHA was confirmed through luciferase reporter gene assay. Moreover, glycolysis rate was tested by calculating the uptake of glucose in addition to the production of lactate in Huh7 cells. LncRNA SLC9A3-AS1 was up-regulated in liver cancer tissue samples and cells. Knockdown of SLC9A3-AS1 notably further inhibited viability, migration as well as invasion in Huh7 cells. MiR-449b-5p was the direct downstream miRNA of SLC9A3-AS1 and was down-regulated by SLC9A3-AS1 in Huh7 cells. In addition, miR-449b-5p was reduced in liver cancer tissues and cells. Overexpressed miR-449b-5p increased the sensitivity of Huh7 cells to TP remarkably. Moreover, miR-449b-5p negatively regulated LDHA expression in Huh7 cells. This work proved that SLC9A3-AS1 increased the sensitivity of liver cancer cells to TP by regulating glycolysis rate mediated via miR-449b-5p/LDHA axis. These findings implied that TP is likely to be a potent agent for treating patients diagnosed with liver cancer.

Trapped in Endosome PEGylated Ultra-Small Iron Oxide Nanoparticles Enable Extraordinarily High MR Imaging Contrast for Hepatocellular Carcinomas

The early diagnosis of hepatocellular carcinomas (HCCs) remains challenging in the clinic. Primovist-enhanced magnetic resonance imaging (MRI) aids HCC diagnosis but loses sensitivity for tumors <2 cm. Therefore, developing advanced MRI contrast agents is imperative for improving the diagnostic accuracy of HCCs in very-early-stage. To address this challenge, PEGylated ultra-small iron oxide nanoparticles (PUSIONPs) are synthesized and employed as liver-specific T1 MRI contrast agents. Intravenous delivery produces simultaneous hyperintense HCC and hypointense hepatic parenchyma signals on T1 imaging, creating an extraordinarily high tumor-to-liver contrast. Systematic studies uncover PUSIONP distribution in hepatic parenchyma, HCC lesions at the organ, tissue, cellular, and subcellular levels, revealing endosomal confinement of PUSIONP without aggregation. By mimicking such situations, the dependency of relaxometric properties on local PUSIONP concentration is investigated, emphasizing the key role of different endosomal concentrations in liver and tumor cells for high tumor-to-liver contrast and clear tumor boundaries. These findings offer exceptional imaging capabilities for early HCC diagnosis, potentially benefiting real HCC patients.

Utilization of Microfluidic Droplet-Based Methods in Diagnosis and Treatment Methods of Hepatocellular Carcinoma: A Review

Hepatocellular carcinoma (HCC) is one of the most common cancers worldwide and is associated with high morbidity and mortality. One of the main challenges in the management of HCC is late clinical presentation and thus diagnosis of the disease, which results in poor survival. The pathogenesis of HCC is complex and involves chronic liver injury and genetic alterations. Diagnosis of HCC can be made either by biopsy or imaging; however, conventional tissue-based biopsy methods and serological biomarkers such as AFP have limited clinical applications. While hepatocellular carcinoma is associated with a range of molecular alterations, including the activation of oncogenic signaling pathways, such as Wnt-TGFβ, PI3K-AKT-mTOR, RAS-MAPK, MET, IGF, and Wnt-β-catenin and TP53 and TERT promoter mutations, microfluidic applications have been limited. Early diagnosis is crucial for advancing treatments that would address the heterogeneity of HCC. In this context, microfluidic droplet-based methods are crucial, as they enable comprehensive analysis of the genome and transcriptome of individual cells. Single-cell RNA sequencing (scRNA-seq) allows the examination of individual cell transcriptomes, identifying their heterogeneity and cellular evolutionary relationships. Other microfluidic methods, such as Drop-seq, InDrop, and ATAC-seq, are also employed for single-cell analysis. Here, we examine and compare these microfluidic droplet-based methods, exploring their advantages and limitations in liver cancer research. These technologies provide new opportunities to understand liver cancer biology, diagnosis, treatment, and prognosis, contributing to scientific efforts in combating this challenging disease.

CT-based multimodal deep learning for non-invasive overall survival prediction in advanced hepatocellular carcinoma patients treated with immunotherapy

OBJECTIVES

To develop a deep learning model combining CT scans and clinical information to predict overall survival in advanced hepatocellular carcinoma (HCC).

METHODS

This retrospective study included immunotherapy-treated advanced HCC patients from 52 multi-national in-house centers between 2018 and 2022. A multi-modal prognostic model using baseline and the first follow-up CT images and 7 clinical variables was proposed. A convolutional-recurrent neural network (CRNN) was developed to extract spatial-temporal information from automatically selected representative 2D CT slices to provide a radiological score, then fused with a Cox-based clinical score to provide the survival risk. The model's effectiveness was assessed using a time-dependent area under the receiver operating curve (AUC), and risk group stratification using the log-rank test. Prognostic performances of multi-modal inputs were compared to models of missing modality, and the size-based RECIST criteria.

RESULTS

Two-hundred seven patients (mean age, 61 years ± 12 [SD], 180 men) were included. The multi-modal CRNN model reached the AUC of 0.777 and 0.704 of 1-year overall survival predictions in the validation and test sets. The model achieved significant risk stratification in validation (hazard ratio [HR] = 3.330, p = 0.008), and test sets (HR = 2.024, p = 0.047) based on the median risk score of the training set. Models with missing modalities (the single-modal imaging-based model and the model incorporating only baseline scans) can still achieve favorable risk stratification performance (all p < 0.05, except for one, p = 0.053). Moreover, results proved the superiority of the deep learning-based model to the RECIST criteria.

CONCLUSION

Deep learning analysis of CT scans and clinical data can offer significant prognostic insights for patients with advanced HCC.

CRITICAL RELEVANCE STATEMENT

The established model can help monitor patients' disease statuses and identify those with poor prognosis at the time of first follow-up, helping clinicians make informed treatment decisions, as well as early and timely interventions.

KEY POINTS

An AI-based prognostic model was developed for advanced HCC using multi-national patients. The model extracts spatial-temporal information from CT scans and integrates it with clinical variables to prognosticate. The model demonstrated superior prognostic ability compared to the conventional size-based RECIST method.

Improving Hepatocellular Carcinoma Surveillance Outcomes in Patients with Cirrhosis after Hepatitis C Cure: A Modelling Study

BACKGROUND & AIMS

Hepatocellular carcinoma (HCC) presents a significant global health challenge, particularly among individuals with liver cirrhosis, with hepatitis C (HCV) a major cause. In people with HCV-related cirrhosis, an increased risk of HCC remains after cure. HCC surveillance with six monthly ultrasounds has been shown to improve survival. However, adherence to biannual screening is currently suboptimal. This study aimed to evaluate the effect of increased HCC surveillance uptake and improved ultrasound sensitivity on mortality among people with HCV-related cirrhosis post HCV cure.

METHODS

This study utilized mathematical modelling to assess HCC progression, surveillance, diagnosis, and treatment among individuals with cirrhosis who had successfully been treated for HCV. The deterministic compartmental model incorporated Barcelona Clinic Liver Cancer (BCLC) stages to simulate disease progression and diagnosis probabilities in 100 people with cirrhosis who had successfully been treated for hepatitis C over 10 years. Four interventions were modelled to assess their potential for improving life expectancy: realistic improvements to surveillance adherence, optimistic improvements to surveillance adherence, diagnosis sensitivity enhancements, and improved treatment efficacy Results: Realistic adherence improvements resulted in 9.8 (95% CI 7.9, 11.6) life years gained per cohort of 100 over a 10-year intervention period; 17.2 (13.9, 20.3) life years were achieved in optimistic adherence improvements. Diagnosis sensitivity improvements led to a 7.0 (3.6, 13.8) year gain in life years, and treatment improvements improved life years by 9.0 (7.5, 10.3) years.

CONCLUSIONS

Regular HCC ultrasound surveillance remains crucial to reduce mortality among people with cured hepatitis C and cirrhosis. Our study highlights that even minor enhancements to adherence to ultrasound surveillance can significantly boost life expectancy across populations more effectively than strategies that increase surveillance sensitivity or treatment efficacy.

A cellular senescence-related signature for predicting prognosis, immunotherapy response, and candidate drugs in patients treated with transarterial chemoembolization (TACE)

BACKGROUND

Cellular senescence is essential to TME development, progression, and remodeling. Few studies have examined cellular senescence in HCC after TACE. Investigating the relationship between cellular senescence, post-TACE prognosis, the TME, and immune treatment responses is crucial.

METHODS

We analyzed the GSE104580 dataset to identify DEGs. A cellular senescence-related signature was developed using LASSO Cox regression in the GSE14520 dataset and validated in the ICGC dataset. High- and low-risk subgroups were compared using GSVA and GSEA. Correlation studies were conducted to explore the relationship between the prognostic model, immune infiltration, immunotherapy response, and drug sensitivity.

RESULTS

A cellular senescence-related signature comprising FOXM1, CDK1, CHEK1, and SERPINE1 was created and validated. High-risk patients showed significantly lower OS than low-risk patients. High-risk patients had carcinogenetic pathways activated, immunosuppressive cells infiltrated, and immunomodulatory genes overexpressed. They also showed higher sensitivity to EPZ004777_1237 and MK-2206_1053 and potential benefits from GSK-3 inhibitor IX, nortriptyline, lestaurtinib, and JNK-9L.

CONCLUSIONS

This study constructed a cellular senescence-related signature that could be used to predict HCC patients' responses to and prognosis after TACE treatment, aiding in the development of personalized treatment plans.

Risk factors, patterns, and outcome predictors of late recurrence in patients with hepatocellular carcinoma after curative resection: A large cohort study with long-term follow-up results

BACKGROUND

Late recurrence of hepatocellular carcinoma after curative resection significantly influences long-term patient survival outcomes, and yet it remains understudied. This study aims to explore the risk factors and patterns of late recurrence and predictors of subsequent outcome.

METHODS

This single-center retrospective study analyzed 1,701 consecutive patients who achieved a disease-free survival period exceeding 2 years after curative resection for hepatocellular carcinoma between 2001 and 2018. Univariate and multivariate analyses of factors associated with late recurrence and death after recurrence were conducted using Cox's models.

RESULTS

The mean age of patients was 60.2 years, with 76.8% being male. During a median follow-up of 8.1 years, 653 patients (38.4%) experienced late recurrence, with median time to recurrence being 4.0 years (interquartile range, 2.7-6.0). Factors such as age >60, chronic hepatitis C, cirrhosis, high albumin-bilirubin grade, absence of family history, multiple tumors, satellite nodules, alpha-fetoprotein levels <400 ng/mL, and minor hepatic resection were identified as risk factors for late recurrence. Among patients with late recurrence, 131 (20.1%) underwent surgical treatment, 272 (41.7%) received radiofrequency ablation, and 27 (4.1%) exhibited extrahepatic lesions. A higher-high albumin-bilirubin grade, recurrent tumor >3 cm, and nonsurgical treatment emerged as predictors of death after late recurrence.

CONCLUSION

Over one-third of patients who remain disease-free for more than 2 years postresection will experience late recurrence during subsequent follow-up. For 2-year disease-free survivors, risk factors for late recurrence differ from early recurrence. Treating underlying hepatitis is of paramount importance, given its association with both the risk of late recurrence and survival outcomes post-recurrence.

A simple, rapid and sensitive sandwich immunoassay based on poly(N-isopropylacrylamide) for the detection of alpha-fetoprotein

Alpha-fetoprotein (AFP), as a tumor marker, plays a vital role in the diagnosis of liver cancer. In this work, a novel sandwich immunoassay based on a thermosensitive polymer, poly(N-isopropylacrylamide) (PNIPAM), was developed for the detection of AFP. This immunoassay could realize one-step rapid reaction within 1 h, and facilitate the separation of the target molecules by incorporating PNIPAM. In this method, a conjugate of PNIPAM and capture antibody (Ab1) was successfully synthesized as a capture probe and the synthetic method of PNIPAM-Ab1 was simple, while the detection antibody (Ab2) was labeled with fluorescein isothiocyanate (FITC) to form a fluorescent detection probe. By employing a sandwich immunoassay, the method achieved quantitative determination of AFP, exhibiting a wide linear range from 5 ng/mL to 200 ng/mL and a low detection limit of 2.44 ng/mL. Furthermore, it was successfully applied to the analysis of spiked human serum samples and the screening of patients with hepatic diseases in clinical samples, indicating its potential application prospect in the diagnosis of liver cancer.

Vanillin-Isatin Hybrid-Induced MARK4 Inhibition As a Promising Therapeutic Strategy against Hepatocellular Carcinoma

Microtubule affinity-regulating kinase 4 (MARK4) is a serine-threonine kinase that phosphorylates microtubule-associated proteins (MAPs) and increases the microtubule dynamics. Due to its direct involvement in initiation, cell division, progression, and cancer metastasis, MARK4 is considered a potential therapeutic target. Here, we designed, synthesized, and characterized vanillin-isatin hybrids and evaluated their MARK4 inhibitory potential. All of the compounds strongly bind to MARK4 and interact closely with the active site residues. Finally, the compound VI-9 was selected for further investigation due to its high binding affinity and strong MARK4 inhibitory potential. Tau-phosphorylation assay has further confirmed that VI-9 significantly reduced the activity of MARK4. Compared with vanillin, VI-9 showed a better binding affinity and MARK4 inhibitory potential. Cell viability assays on human hepatocellular carcinoma (HCC) cell lines C3A and SNU-475 revealed that VI-9 inhibited their growth and proliferation. In addition, these compounds were nontoxic (up to 200 μM) for noncancerous (HEK-293) cells. Interestingly, VI-9 induces apoptosis and decreases the metastatic potential of the C3A and SNU-475 cell lines. The present work opens a newer avenue for vanillin-isatin hybrids and their derivatives in developing MARK4-targeted anticancer therapies.

A novel single-cell model reveals ferroptosis-associated biomarkers for individualized therapy and prognostic prediction in hepatocellular carcinoma

BACKGROUND

Hepatocellular carcinoma (HCC) is a prevalent malignancy with a pressing need for improved therapeutic response and prognosis prediction. This study delves into a novel predictive model related to ferroptosis, a regulated cell death mechanism disrupting metabolic processes.

RESULTS

Single-cell sequencing data analysis identified subpopulations of HCC cells exhibiting activated ferroptosis and distinct gene expression patterns compared to normal tissues. Utilizing the LASSO-Cox algorithm, we constructed a model with 10 single-cell biomarkers associated with ferroptosis, namely STMN1, S100A10, FABP5, CAPG, RGCC, ENO1, ANXA5, UTRN, CXCR3, and ITM2A. Comprehensive analyses using these biomarkers revealed variations in immune infiltration, tumor mutation burden, drug sensitivity, and biological functional profiles between risk groups. Specific associations were established between particular immune cell subtypes and certain gene expression patterns. Treatment response analyses indicated potential benefits from anti-tumor immune therapy for the low-risk group and chemotherapy advantages for the high-risk group.

CONCLUSIONS

The integration of this single-cell level model with clinicopathological features enabled accurate overall survival prediction and effective risk stratification in HCC patients. Our findings illuminate the potential of ferroptosis-related genes in tailoring therapy and prognosis prediction for HCC, offering novel insights into the intricate interplay among ferroptosis, immune response, and HCC progression.

Assessment of safety and efficacy of transarterial chemoembolization combined with camrelizumab and donafenib in patients with hepatocellular carcinoma at BCLC stage C: A study of 20 cases

Camrelizumab, donafenib, and transarterial chemoembolization (TACE) are recommended for advanced hepatocellular carcinoma (HCC), but their combined efficacy remains unclear. From July 2021 to January 2023, 20 Barcelona Clinic Liver Cancer stage C HCC patients were prospectively enrolled. Inclusion criteria were Eastern Cooperative Oncology Group performance status of 0 or 1, Child-Pugh Score ≤ 7, and Barcelona Clinic Liver Cancer B or C. Surgical candidates were excluded. The treatment included TACE, camrelizumab, and donafenib. Endpoints were median overall survival, progression-free survival, and adverse events (AEs) related to donafenib. Among 20 patients, 85% experienced AEs from targeted therapy and programmed cell death protein-1, with 40% having grade 3 AEs. No grade 4 or 5 AEs occurred. Median follow-up was 9 months, with 15% achieving complete response, 65% partial response, and 15% stable disease. Disease control rate was 90%. Median progression-free survival and overall survival were 9 and 14 months, respectively. TACE, camrelizumab, and donafenib combination therapy in Chinese advanced HCC patients show effectiveness in extending survival with low severe AEs incidence.

Interaction between HOTTIP, H19, and HOTAIR long noncoding RNAs and miRNA-152 in cases of HCC caused by HCV infection

Background

Liver cancer (hepatocellular carcinoma “HCC”) remains a significant health issue without prompt detection and appropriate prevention. By interacting with each other, long noncoding RNAs (lncRNAs) and microRNAs (miRNAs) can form gene regulatory networks. Specifically, we aim to determine whether the lncRNAs (HOTTIP, H19, and HOTAIR) and miRNA-152 interact in a significant manner in the progression of Hepatitis C virus (HCV) patients to HCC. This is followed by the question of whether these biomarkers can be used to diagnose and prognose noninvasively. We used online computational techniques to predict which miRNA group is likely to affect the lncRNAs being examined. This study involved 133 participants. 103 patients with HCV were included in the study, which was divided into two groups: Group I, with 65 cases of chronic liver disease without HCC, and Group II, with 38 cases of chronic liver disease with HCC. In addition, 30 healthy volunteers served as controls. In this study, a qRT-PCR was used to test gene expression.

Results

A consistent reverse correlation has been observed between lncRNAs and miRNA-152 as the disease progresses.

Conclusion

According to our findings, the studied biomarkers may be useful as noninvasive biomarkers for prognosis in patients with HCV Genotype 4 who develop liver cirrhosis and HCC. Many miRNAs, including miRNA-19a and miRNA-106a, may interact with lncRNAs that have been investigated in addition to miRNA-152.

Clinical prediction of microvascular invasion in hepatocellular carcinoma using an MRI-based graph convolutional network model integrated with nomogram

OBJECTIVES

Based on enhanced MRI, a prediction model of microvascular invasion (MVI) for hepatocellular carcinoma (HCC) was developed using graph convolutional network (GCN) combined nomogram.

METHODS

We retrospectively collected 182 HCC patients confirmed histopathologically, all of them performed enhanced MRI before surgery. The patients were randomly divided into training and validation groups. Radiomics features were extracted from the arterial phase (AP), portal venous phase (PVP), and delayed phase (DP), respectively. After removing redundant features, the graph structure by constructing the distance matrix with the feature matrix was built. Screening the superior phases and acquired GCN Score (GS). Finally, combining clinical, radiological and GS established the predicting nomogram.

RESULTS

27.5% (50/182) patients were with MVI positive. In radiological analysis, intratumoural artery (P = 0.007) was an independent predictor of MVI. GCN model with grey-level cooccurrence matrix-grey-level run length matrix features exhibited area under the curves of the training group was 0.532, 0.690, and 0.885 and the validation group was 0.583, 0.580, and 0.854 for AP, PVP, and DP, respectively. DP was selected to develop final model and got GS. Combining GS with diameter, corona enhancement, mosaic architecture, and intratumoural artery constructed a nomogram which showed a C-index of 0.884 (95% CI: 0.829-0.927).

CONCLUSIONS

The GCN model based on DP has a high predictive ability. A nomogram combining GS, clinical and radiological characteristics can be a simple and effective guiding tool for selecting HCC treatment options.

ADVANCES IN KNOWLEDGE

GCN based on MRI could predict MVI on HCC.

Cuproptosis-associated genes (CAGs) contribute to the prognosis prediction and potential therapeutic targets in hepatocellular carcinoma

BACKGROUND

Cuproptosis is a novel form of cell death that exhibits close association with mitochondrial respiration and occurs through distinct mechanisms compared to previously characterized forms of cell death. However, the precise impact of cuproptosis-associated genes (CAGs) on prognosis, immune profiles, and treatment efficacy in hepatocellular carcinomas (HCC) remains poorly understood.

METHODS

A comprehensive analysis of CAGs in hepatocellular carcinoma (HCC) prognosis was conducted using genomic data from HCC patients. Consensus clustering analysis was performed to determine molecular subtypes related to cuproptosis in HCC. The single-sample gene set enrichment analysis (ssGSEA) algorithm was applied to quantify the infiltration levels of immune cells, while the "ESTIMATE" package was employed to calculate tumor purity, stromal scores, and immune scores in the tumor microenvironment (TME). Principal component analysis (PCA) algorithm was utilized to construct a risk score related to CAGs. Finally, CCK8, wound healing, Transwell migration/invasion, EDU and xenograft model were employed to explore the potential oncogenic role of MTF1.

RESULTS

Three distinct patterns of cuproptosis modification were identified, each associated with unique functional enrichments, clinical characteristics, immune cell infiltration, immune checkpoints, tumor microenvironment (TME), and prognosis. A CAGs-related risk score (Cuscore) was developed to predict prognosis in TCGA and validated in GSE76427 and ICGC datasets. Notably, patients with a low Cuscore had better prognoses and were more likely to benefit from immunotherapy.Additionally, the high Cuscore group in HCC also revealed three potential therapeutic targets (TUBA1B, CDC25B, and CSNK2A1) as well as several therapeutic compounds. Moreover, the experiment measured the expression levels of six prognosis-related CAGs, wherein knockdown of MTF1 exhibited suppression of proliferation, invasion, and migration formation in HCC cell lines.

CONCLUSION

The findings have enhanced our comprehension of the cuproptosis characteristics in HCC, and stratification based on CuScore may potentially enhance the prediction of patients' prognosis and facilitate the development of effective and innovative treatment strategies.

Nanoparticle/Engineered Bacteria Based Triple-Strategy Delivery System for Enhanced Hepatocellular Carcinoma Cancer Therapy

Background

New treatment modalities for hepatocellular carcinoma (HCC) are desperately critically needed, given the lack of specificity, severe side effects, and drug resistance with single chemotherapy. Engineered bacteria can target and accumulate in tumor tissues, induce an immune response, and act as drug delivery vehicles. However, conventional bacterial therapy has limitations, such as drug loading capacity and difficult cargo release, resulting in inadequate therapeutic outcomes. Synthetic biotechnology can enhance the precision and efficacy of bacteria-based delivery systems. This enables the selective release of therapeutic payloads in vivo.

Methods

In this study, we constructed a non-pathogenic Escherichia coli (E. coli) with a synchronized lysis circuit as both a drug/gene delivery vehicle and an in-situ (hepatitis B surface antigen) Ag (ASEc) producer. Polyethylene glycol (CHO-PEG2000-CHO)-poly(ethyleneimine) (PEI25k)-citraconic anhydride (CA)-doxorubicin (DOX) nanoparticles loaded with plasmid encoded human sulfatase 1 (hsulf-1) enzyme (PNPs) were anchored on the surface of ASEc (ASEc@PNPs). The composites were synthesized and characterized. The in vitro and in vivo anti-tumor effect of ASEc@PNPs was tested in HepG2 cell lines and a mouse subcutaneous tumor model.

Results

The results demonstrated that upon intravenous injection into tumor-bearing mice, ASEc can actively target and colonise tumor sites. The lytic genes to achieve blast and concentrated release of Ag significantly increased cytokine secretion and the intratumoral infiltration of CD4/CD8+T cells, initiated a specific immune response. Simultaneously, the PNPs system releases hsulf-1 and DOX into the tumor cell resulting in rapid tumor regression and metastasis prevention.

Conclusion

The novel drug delivery system significantly suppressed HCC in vivo with reduced side effects, indicating a potential strategy for clinical HCC therapy.

Construction of an Immunogenic Cell Death-Related Gene Signature and Genetic Subtypes for Predicting Prognosis, Immune Microenvironments, and Drug Sensitivity in Hepatocellular Carcinoma

Purpose

Immunogenic cell death (ICD) is a type of regulated cell death that modifies the immune response by releasing DAMPs or danger signals. Herein, we aimed to develop an ICD-related predictive model for patients with hepatocellular carcinoma (HCC) and investigate its applicability for predicting prognostic outcomes and immunotherapeutic responses.

Methods

Differentially expressed genes of ICD were identified in the HCC and normal liver samples. A prognostic risk model and a nomogram containing clinicopathological features were created. To validate the effectiveness of the model, an external dataset was used. Clinical characteristics, prognosis, tumor mutation burden, immune microenvironments, biological function and chemotherapeutic drug sensitivity were evaluated for different genetic subtypes and risk groups.

Results

A total of 35 ICD-related genes (ICDRGs) were identified between HCC and normal samples, 11 of which were significantly associated with overall survival (OS) in HCC patients. Four different genetic subtypes were formed and eight ICDRGs were selected to develop a risk prognostic model. The risk scores were shown to be an independent prognostic factor for HCC and positively correlated with pathological severity. Patients in the high-risk group had a higher frequency of TP53 mutations, increased expression of immune checkpoints and human leukocyte antigen genes. The inhibitory concentrations of chemotherapeutic drugs differed in different populations.

Conclusion

In this study, we developed an ICDRG risk model and demonstrated its applicability in predicting survival outcomes, immune and chemotherapeutic responses in HCC patients. ICDRGs are expected to be used as novel biomarkers in the medical decision-making of HCC.

Application of texture signatures based on multiparameter-magnetic resonance imaging for predicting microvascular invasion in hepatocellular carcinoma: Retrospective study

BACKGROUND

Despite continuous changes in treatment methods, the survival rate for advanced hepatocellular carcinoma (HCC) patients remains low, highlighting the importance of diagnostic methods for HCC.

AIM

To explore the efficacy of texture analysis based on multi-parametric magnetic resonance (MR) imaging (MRI) in predicting microvascular invasion (MVI) in preoperative HCC.

METHODS

This study included 105 patients with pathologically confirmed HCC, categorized into MVI-positive and MVI-negative groups. We employed Original Data Analysis, Principal Component Analysis, Linear Discriminant Analysis (LDA), and Non-LDA (NDA) for texture analysis using multi-parametric MR images to predict preoperative MVI. The effectiveness of texture analysis was determined using the B11 program of the MaZda4.6 software, with results expressed as the misjudgment rate (MCR).

RESULTS

Texture analysis using multi-parametric MRI, particularly the MI + PA + F dimensionality reduction method combined with NDA discrimination, demonstrated the most effective prediction of MVI in HCC. Prediction accuracy in the pulse and equilibrium phases was 83.81%. MCRs for the combination of T2-weighted imaging (T2WI), arterial phase, portal venous phase, and equilibrium phase were 22.86%, 16.19%, 20.95%, and 20.95%, respectively. The area under the curve for predicting MVI positivity was 0.844, with a sensitivity of 77.19% and specificity of 91.67%.

CONCLUSION

Texture analysis of arterial phase images demonstrated superior predictive efficacy for MVI in HCC compared to T2WI, portal venous, and equilibrium phases. This study provides an objective, non-invasive method for preoperative prediction of MVI, offering a theoretical foundation for the selection of clinical therapy.

The underlying mechanism and targeted therapy strategy of miRNAs cross-regulating EMT process through multiple signaling pathways in hepatocellular carcinoma

The consistent notion holds that hepatocellular carcinoma (HCC) initiation, progression, and clinical treatment failure treatment failure are affected by the accumulation of various genetic and epigenetic alterations. MicroRNAs (miRNAs) play an irreplaceable role in a variety of physiological and pathological states. meanwhile, epithelial-mesenchymal transition (EMT) is a crucial biological process that controls the development of HCC. miRNAs regulate the intermediation state of EMTor mesenchymal-epithelial transition (MTE)thereby regulating HCC progression. Notably, miRNAs regulate key HCC-related molecular pathways, including the Wnt/β-catenin pathway, PTEN/PI3K/AKT pathway, TGF-β pathway, and RAS/MAPK pathway. Therefore, we comprehensively reviewed how miRNAs produce EMT effects by multiple signaling pathways and their potential significance in the pathogenesis and treatment response of HCC. emphasizing their molecular pathways and progression in HCC initiation. Additionally, we also pay attention to regulatory mechanisms that are partially independent of signaling pathways. Finally, we summarize and propose miRNA-targeted therapy and diagnosis and defense strategies forHCC. The identification of the mechanism leading to the activation of EMT programs during HCC disease processes also provides a new protocol for the plasticity of distinct cellular phenotypes and possible therapeutic interventions. Consequently, we summarize the latest progress in this direction, with a promising path for further insight into this fast-moving field.

Plumbagin Regulates Snail to Inhibit Hepatocellular Carcinoma Epithelial-Mesenchymal Transition in vivo and in vitro

Background/Aims

Plumbagin (PL) has been shown to effe ctively inhibit autophagy, suppressing invasion and migration of hepatocellular carcinoma (HCC) cells. However, the specific mechanism remains unclear. This study aimed to investigate the effect of PL on tumor growth factor (TGF)-β-induced epithelial-mesenchymal transition (EMT) in HCC.

Methods

Huh-7 cells were cultured, and in vivo models of EMT and HCC-associated lung metastasis were developed through tail vein and in situ injections of tumor cells. In vivo imaging and hematoxylin and eosin staining were used to evaluate HCC modeling and lung metastasis. After PL intervention, the expression levels of Snail, vimentin, E-cadherin, and N-cadherin in the liver were evaluated through immunohistochemistry and Western blot. An in vitro TGF-β-induced cell EMT model was used to detect Snail, vimentin, E-cadherin, and N-cadherin mRNA levels through a polymerase chain reaction. Their protein levels were detected by immunofluorescence staining and Western blot.

Results

In vivo experiments demonstrated that PL significantly reduced the expression of Snail, vimentin, and N-cadherin, while increasing the expression of E-cadherin at the protein levels, effectively inhibiting HCC and lung metastasis. In vitro experiments confirmed that PL up-regulated epithelial cell markers, down-regulated mesenchymal cell markers, and inhibited EMT levels in HCC cells.

Conclusion

PL inhibits Snail expression, up-regulates E-cadherin expression, and down-regulates N-cadherin and vimentin expression, preventing EMT in HCC cells and reducing lung metastasis.

A novel CD8+ T cell-related gene signature as a prognostic biomarker in hepatocellular carcinoma

CD8+ T cells have great roles in tumor suppression and elimination of various tumors including hepatocellular carcinoma (HCC). Nonetheless, potential prognostic roles of CD8+ T cell-related genes (CD8Gs) in HCC remains unknown. In our study, 416 CD8Gs were identified in HCC, which were enriched in inflammatory and immune signaling pathways. Using The Cancer Genome Atlas dataset, a 5-CD8Gs risk model (KLRB1, FYN, IL2RG, FCER1G, and DGKZ) was constructed, which was verified in International Cancer Genome Consortium and gene expression omnibus datasets. Furthermore, we found that overall survival was independently correlated with the CD8Gs signature, and it was associated with immune- and cancer-related signaling pathways and immune cells infiltration. Finally, drug sensitivity data indicated that 10 chemotherapeutic drugs held promise as therapeutics for HCC patients with high-risk. In conclusion, multi-databases analysis showed that 5-CD8Gs and their signature could be an indicator to predict candidate drugs for HCC therapy.

Preoperative Contrast-Enhanced Ultrasound Predicts Microvascular Invasion in Hepatocellular Carcinoma as Accurately as Contrast-Enhanced MR

OBJECTIVES

Both contrast-enhanced ultrasound (CEUS) and contrast-enhanced magnetic resonance (CEMR) are important imaging methods for hepatocellular carcinoma (HCC). This study aimed to establish a model using preoperative CEUS parameters to predict microvascular invasion (MVI) in HCC, and compare its predictive efficiency with that of CEMR model.

METHODS

A total of 93 patients with HCC (39 cases in MVI positive group and 54 cases in MVI negative group) who underwent surgery in our hospital from January 2020 to June 2021 were retrospectively analyzed. Their clinical and imaging data were collected to establish CEUS and CEMR models for predicting MVI. The predictive efficiencies of both models were compared.

RESULTS

By the univariate and multivariate regression analyses of patients' clinical information, preoperative CEUS static and dynamic images, we found that serrated edge and time to peak were independent predictors of MVI. The CEUS prediction model achieved a sensitivity of 92.3%, a specificity of 83.3%, and an accuracy of 84.6% (Az: 0.934). By analyzing the clinical and CEMR information, we found that tumor morphology, fast-in and fast-out, peritumoral enhancement, and capsule were independent predictors of MVI. The CEMR prediction model achieved a sensitivity of 97.4%, a specificity of 77.8%, and an accuracy of 83.2% (Az: 0.900). The combination of the two models achieved a sensitivity of 84.6%, a specificity of 87.0%, and an accuracy of 86.2% (Az: 0.884). There was no significant statistical difference in the areas under the ROC curve of the three models.

CONCLUSION

The CEUS model and the CEMR model have similar predictive efficiencies for MVI of HCC. CEUS is also an effective method to predict MVI before operation.

Profiling of aberrant sialylated N-glycans in hepatocellular carcinoma by liquid chromatography mass spectrometry

BACKGROUND

Aberrant sialylation is closely associated with the tumorigenesis, progression, and metastasis, and may be of importance for disease diagnosis. However, the analysis of altered expression of sialylated glycans (SGs) in blood is particularly challenging due to the low content and poor ionization efficiency of sialylated glycans in mass spectrometry.

METHODS

An analytical strategy based on enrichment of SGs, liquid chromatography-high resolution mass spectrometric detection, and automatic glycan annotation was developed to profile the sialylated N-glycome in serum. The enrichment of sialylated glycans was accomplished using cationic cotton via electrostatic and hydrogen interaction. Using partial least squares-discriminant analysis (PLS-DA), the approach was applied for nontarget screening and profiling of aberrant sialylated N-glycans in hepatocellular carcinoma (HCC).

RESULTS

55 SGs were identified in human serum, and three important SGs (SG35, SG45, and SG46) were screened to have good diagnostic specificity for HCC. Their areas under the receiver operating characteristic (ROC) curve (AUC) were higher than α-fetoprotein (AFP)'s (AUC = 0.85), at 0.88, 0.87, and 0.91, respectively. When three SGs are combined, the diagnostic specificity for HCC may increase to 94 %. The fact that SGs biomarkers are sensitive to AFP-Negative HCC is very noteworthy.

CONCLUSIONS

The method significantly advanced the search for sialylated glycan-based cancer biomarkers. In comparison to traditional indicators like AFP and imaging tools, SGs showed a higher diagnostic sensitivity for HCC.

Immune landscape of hepatocellular carcinoma tumor microenvironment identifies a prognostic relevant model

Background

Various studies highlighted that immune cell-mediated inflammatory processes play crucial roles in the progression and treatment of hepatocellular carcinoma (HCC). However, the immune microenvironment of HCC is still poorly characterized. Exploring the role of immune-related genes (IRGs) and describing the immune landscape in HCC would provide insights into tumor-immune co-evolution along HCC progression.

Methods

We integrated the datasets with complete prognostic information from the Cancer Genome Atlas (TCGA) database and GEO DataSets (GSE14520, GSE76427, and GSE54236) to construct a novel immune landscape based on the Cibersort algorithm and reveal the prognostic signature in HCC patients.

Results

To describe the tumor microenvironment (TME) in HCC, immune infiltration patterns were defined using the CIBERSORT method, and a prognostic signature contains 5 types of immune cells, including 3 high-risk immune cells (T.cells. CD4. memory. resting, Macrophages.M0, Macrophages.M2) and 2 low-risk immune cells (Plasma. cells, T.cells.CD8), were finally constructed. A novel prognostic index, based on prognostic immune risk score (pIRG), was developed using the univariate Cox regression analyses and LASSO Cox regression algorithm. Furthermore, the ROC curve and KM curve showed that the TME signatures had a stable value in predicting the prognosis of HCC patients in the internal training cohort, internal validation, and external validation cohort. Differential genes analysis and qPCR experiment showed that the expression levels of AKR1B10, LAPTM4B, MMP9, and SPP1 were significantly increased in high-risk patients, while the expression of CD5L was lower. Further analysis found that AKR1B10 and MMP9 were associated with higher M0 macrophage infiltration, while CD5L was associated with higher plasma cell infiltration.

Conclusions

Taken together, we performed a comprehensive evaluation of the immune landscape of HCC and constructed a novel and robust prognostic prediction model. AKR1B10, LAPTM4B, MMP9, SPP1, and CD5L were involved in important processes in the HCC tumor microenvironment and were expected to become HCC prediction markers and potential targets of treatment.

Ubiquitination-specific protease 7 enhances stemness of hepatocellular carcinoma by stabilizing basic transcription factor 3

This study aims to explore the molecular regulation mechanism of ubiquitination-specific protease 7 (USP7) in facilitating the stemness properties of hepatocellular carcinoma (HCC). Gain-of-function and loss-of-function assays were conducted in SK-Hep1 and HepG2 cells transfected with USP7 overexpression/knockdown plasmids and USP7 inhibitor P22077. The proliferation, migration, invasion, and self-renewal capacity of hepatocellular carcinoma cells were detected by CCK-8, colony formation, Transwell, scratch, and tumor sphere formation, respectively. MS was performed to identify the potential substrate of USP7 following P22077 treatment. Co-IP assay was used to verify the interaction between USP7 and basic transcription factor 3 (BTF3) in HCC cells. The overexpression of USP7 could promote the proliferation, migration, invasion, and colony formation capacity of SK-Hep1 and HepG2 cells. Additionally, ectopic UPS7 enhanced the epithelial-mesenchymal transition (EMT) and stem-like characteristics of the HCC cells. In contrast, USP7 depletion by knockdown of USP7 or administrating inhibitor P22077 significantly inhibited these malignant phenotypes of SK-Hep1 and HepG2 cells. Following MS analysis, BTF3 was identified as a potential substrate for USP7. USP7 could interact with BTF3 and upregulate its protein level, while USP7 depletion significantly upregulated the ubiquitination levels. Overexpression of BTF3 partially rescue the inhibitory effects of USP7 depletion on the malignant phenotypes and stemness properties of SK-Hep1 and HepG2 cells. USP7 can promote the stemness and malignant phenotype of HCC by stabilizing BTF3.

Tumor microenvironment responsive nano-platform for overcoming sorafenib resistance of hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is a malignant tumor, which seriously jeopardizes human health. The 5-year relative survival rate of HCC is only about 18%. Sorafenib, a small molecule multi-targeted tyrosine kinase inhibitor (MTKI), has been classified as the first-line treatment scheme for HCC and has significantly extended the median survival time for patients with advanced HCC. Nevertheless, the emergence of sorafenib resistance has substantially hampered its further clinical application. Herein, the nano-platform based on phototherapy and small molecular targeted therapy (SMTT) was devised to overcome the sorafenib resistance and reduce the adverse effects. Hollow mesoporous manganese dioxide (H-MnO2) was prepared by hard template method, and the prepared H-MnO2 was used to load sorafenib and Chlorin e6 (Ce6). Subsequently, the nanoparticle (NPs) were modified with dopamine to optimize biocompatibility. The final prepared NPs (MCS NPs) exhibit regular spherical shape with a hydrated particle size of approximately 97.02 nm. MCS NPs can not only possess tumor microenvironment (TME) stimuli-responsive drug release performance but also can enhance the efficacy of photodynamic therapy and reverse sorafenib resistance by alleviating tumor hypoxia. Under the action of phototherapy (Ce6) combined with molecular targeted therapy (sorafenib), MCS NPs manifest a satisfactory antitumor effect for sorafenib-sensitive or sorafenib-resistant HCC cells, and retain the antiangiogenic properties of sorafenib. In the nude mouse subcutaneous tumor model constructed with sorafenib-resistant cells, MCS NPs demonstrated superior tumor imaging ability and excellent biocompatibility. The tumor inhibition rate of the MCS NPs group without laser irradiation was 53.4 %, while the MCS NPs group with laser irradiation was as high as 100 %. The novel smart TME-responsive nano-platform shows great potential for overcoming sorafenib resistance and realizes multimodality imaging and therapy of HCC.

Laparoscopic and open minor liver resection for hepatocellular carcinoma with clinically significant portal hypertension: a multicenter study using inverse probability weighting approach

BACKGROUND

Liver resection offers substantial advantages over open liver resection (OLR) for patients with hepatocellular carcinoma (HCC) in terms of reduced intraoperative blood loss and morbidity. However, there is limited evidence comparing the indications and perioperative outcomes with the open versus laparoscopic approach for resection. This study aimed to compare postoperative outcomes between patients undergoing laparoscopic liver resection (LLR) and OLR for HCC with clinically significant portal hypertension (CSPH).

METHODS

A total of 316 HCC patients with CSPH (the presence of gastroesophageal varices or platelet count < 100,000/ml and spleen diameter > 12 cm) undergoing minor liver resection at eight centers were included in this study. To adjust for confounding factors between the LLR and OLR groups, an inverse probability weighting method analysis was performed.

RESULTS

Overall, 193 patients underwent LLR and 123 underwent OLR. After weighting, LLR was associated with a lower volume of intraoperative blood loss and the incidence of postoperative complications (including pulmonary complications, incisional surgical site infection, and paralytic ileus) compared to the OLR group. The 3-, 5-, and 7-year postoperative recurrence-free survival rates were 39%, 26%, and 22% in the LLR group and 49%, 18%, and 18% in the OLR group, respectively (p = 0.18). And, the 3-, 5-, and 7-year postoperative overall survival rates were 71%, 56%, and 44% in the LLR group and 76%, 51%, 44% in the OLR group, respectively (p = 0.87).

CONCLUSIONS

LLR for HCC patients with CSPH is clinically advantageous by lowering the volume of intraoperative blood loss and incidence of postoperative complications, thereby offering feasible long-term survival.

Evaluation of patients treated with direct-acting anti-viral therapy for chronic hepatitis C and their risk of hepatocellular carcinoma in Hong Kong

BACKGROUND & AIM

To evaluate the risk of early hepatocellular carcinoma (HCC) in chronic hepatitis C patients treated with direct-acting antivirals (DAAs) in Hong Kong, as it has not been studied before in this locality.

METHODS

Three hundred thirty-three consecutive chronic hepatitis C patients treated with DAAs from two hospitals over the past 6 years were identified. Kaplan-Meier method was used to calculate cumulative HCC incidence. Cox regression was used to identify factors associated with HCC development.

RESULTS

During a median follow-up of 23.4 months after DAA started, 15 (5.4%, 95% CI 3.3-8.7%) out of 279 total included patients developed HCC. The overall sustained virological response (SVR) rate was 98.9%. The 1-year cumulative incidence for de-novo HCC and HCC recurrence were 0.8 and 30.9%, respectively (log-rank test p < 0.001). The 1-year cumulative HCC incidence for patients without and with cirrhosis were 0.7 and 5.1%, respectively (log-rank test p = 0.036). Univariate analysis showed that significant factors associated with HCC after DAA were: history of treated HCC, cirrhosis, evidence of portal hypertension, higher AFP at the start or end of DAA therapy, higher bilirubin, lower platelets, lower albumin, and older age. From receiver operating characteristic curve analysis, the optimal cut-off level of AFP for predicting HCC was 10.5 ng/mL at the start and 5.6 ng/mL at the end of DAA therapy.

CONCLUSIONS

The risk of early HCC recurrence remains high despite achieving SVR following DAA therapy, whereas the risk of early de-novo HCC occurence is low. AFP levels, both at the start and end of DAA therapy, can be useful in stratifying risks of HCC development.