Morphologic criteria, such as the Barcelona Clinic Liver Cancer staging system often fail to accurately predict long-term survival among patients undergoing liver resection for hepatocellular carcinoma. We sought to develop a continuous risk score that incorporates established markers of tumor biology and liver function to improve the prediction of overall survival.

Data from a multi-institutional database were used to identify patients who underwent curative-intent hepatectomy for hepatocellular carcinoma. A predictive score for overall survival was developed using weighted beta-coefficients from a multivariable Cox regression model.

Among 850 patients, 595 (70.0%) were assigned to the training cohort, and 255 (30.0%) to the test cohort. In the training cohort, multivariable analysis identified the Model of End-Stage Liver Disease (hazard ratio, 1.04; 95% confidence interval, 1.01-1.07), log-transformed alpha-fetoprotein (hazard ratio, 1.07; 95% confidence interval, 1.02-1.13), and tumor burden score (hazard ratio, 1.07; 95% confidence interval, 1.03-1.11) as independent predictors of worse overall survival. The Model of End-Stage Liver Disease-alpha-fetoprotein-tumor burden score, based on the Cox model, stratified patients into low-risk (n = 466, 78.3%) with a 5-year OS of 70.5% and high-risk (n = 129, 21.7%) with a 5-year OS of 47.0% (P < .001). In the test cohort, the Model of End-Stage Liver Disease-alpha-fetoprotein-tumor burden score demonstrated superior discriminative accuracy (C-index: 0.72, time-dependent area under the curve 1-year: 0.80, 3-year 0.76, 5-year 0.70) compared with the Barcelona Clinic Liver Cancer staging system (C-index: 0.53, time-dependent area under the curve 1-year: 0.61, 3-year 0.55, 5-year 0.56). An online tool was made accessible at https://jk-osu.shinyapps.io/MELD_AFP_TBS/.

The Model of End-Stage Liver Disease-alpha-fetoprotein-tumor burden score provides a novel, accurate tool for prognostic stratification of patients with hepatocellular carcinoma, identifying high-risk patients who may benefit from alternative treatments to improve outcomes.

Objective: The primary objective of this study was to develop and validate a predictive nomogram that integrates radiomic features derived from contrast-enhanced computed tomography (CECT) images with clinical variables to predict overall survival (OS) in patients with hepatocellular carcinoma (HCC) after surgical resection. Methods: This retrospective study analyzed the preoperative enhanced CT images and clinical data of 202 patients with HCC who underwent surgical resection at the Affiliated Hospital of North Sichuan Medical College (Institution 1) from June 2017 to June 2021 and at Nanchong Central Hospital (Institution 2) from June 2020 to June 2022. Among these patients, 162 patients from Institution 1 were randomly divided into a training cohort (112 patients) and an internal validation cohort (50 patients) at a 7:3 ratio, whereas 40 patients from Institution 2 were assigned as an independent external validation cohort. Univariate and multivariate Cox proportional hazards regression analyses were performed to identify clinical risk factors associated with OS after HCC resection. Using 3D-Slicer software, tumor lesions were manually delineated slice by slice on preoperative non-contrast-enhanced (NCE) CT, arterial phase (AP), and portal venous phase (PVP) images to generate volumetric regions of interest (VOIs). Radiomic features were subsequently extracted from these VOIs. LASSO Cox regression analysis was employed for dimensionality reduction and feature selection, culminating in the construction of a radiomic signature (Radscore). Cox proportional hazards regression models, including a clinical model, a radiomic model, and a radiomic-clinical model, were subsequently developed for OS prediction. The predictive performance of these models was assessed via the concordance index (C-index) and time-ROC curves. The optimal performance model was further visualized as a nomogram, and its predictive accuracy was evaluated via calibration curves and decision curve analysis (DCA). Finally, the risk factors in the optimal performance model were interpreted via Shapley additive explanations (SHAP). Results: Univariate and multivariate Cox regression analyses revealed that BCLC stage, the albumin-bilirubin index (ALBI), and the NLR-PLR score were independent predictors of OS after HCC resection. Among these three models, the radiomic-clinical model exhibited the highest predictive performance, with C-indices of 0.789, 0.726, and 0.764 in the training, internal and external validation cohorts, respectively. Furthermore, the time-ROC curves for the radiomic-clinical model showed 1-year and 3-year AUCs of 0.837 and 0.845 in the training cohort, 0.801 and 0.880 in the internal validation cohort, and 0.773 and 0.840 in the external validation cohort. Calibration curves and DCA demonstrated the model's excellent calibration and clinical applicability. Conclusions: The nomogram combining CECT radiomic features and clinical variables provides an accurate prediction of OS after HCC resection. This model is beneficial for clinicians in developing individualized treatment strategies for patients with HCC.

We sought to develop a predictive model to preoperatively identify patients with hepatocellular carcinoma (HCC) at risk of undergoing futile upfront liver resection (LR).

Patients undergoing curative-intent LR for HCC were identified from a large multi-institutional database. Futile LR was defined by death or disease recurrence within six months postoperatively. Backward logistic regression was performed to identify factors associated with futility. Additionally, binary criteria were established for surgical candidacy, aiming to keep the likelihood of futility below 20 %.

Among 1633 patients with HCC, 264 (16.2 %) underwent futile upfront LR. Tumor burden score (TBS) (coefficient: 0.083, 95%CI: 0.067-0.099), alpha-fetoprotein (AFP) (coefficient: 0.254, 95%CI: 0.195-0.310), and albumin-bilirubin (ALBI) grade 2/3 (coefficient: 0.566, 95%CI: 0.420-0.718) were independently associated with an increased risk of futile LR. The model demonstrated strong discrimination and calibration in both derivation and validation cohorts. Low, intermediate, and high-risk groups were determined based on the risk model, each with an escalating likelihood of futility, worse histological features, and worse survival outcomes. Six distinct conditions based on AFP-adjusted-to-TBS criteria were established, all with a futility likelihood of less than 20 %. Patients fulfilling these criteria had significantly better long-term recurrence-free and overall survival. The futility risk model was made available online for wide clinical applicability: (https://altaf-pawlik-hcc-futilityofsurgery-calculator.streamlit.app/).

A preoperative risk model and AFP-adjusted-to-TBS criteria were developed and validated to predict the likelihood of futile LR among patients with HCC. This pragmatic clinical tool may assist clinicians in preoperative decision-making, helping them avoid futile surgery unlikely to offer long-term benefits.

Data on the impact of antiviral therapy(AVT) on the long-term outcomes of hepatitis B virus(HBV)-related hepatocellular carcinoma(HCC) patients with historically-proved cirrhosis after hepatectomy are limited. We aimed to determine the effect of AVT on resected HCC in the background of HBV-related cirrhosis.

A total of 1396 patients with HBV-related cirrhotic HCC undergoing curative resection were categorized into AVT and no-AVT groups retrospectively. Recurrence rates were compared, especially according to the initiation time of AVT, virological response, and low HBV levels. Early and late recurrence was stratified by 2 years postoperatively.

The 1-, 3-, 5- and 10-year recurrence rates in AVT group(n = 432) were lower than those in no-AVT group(n = 964, 26 %, 49 %, 65 % and 76 % vs. 29 %, 69 %, 87 % and 92 %,p < 0.001). AVT was an independent factor for late, but not early, recurrence(p < 0.001). The late recurrence rates were similar between patients with only postoperative AVT and those with both pre-and postoperative AVT(p = 0.772). In the AVT group, the late recurrence rates in patients with persistent virological response(PVR) were lower than those in patients with low detectable viral levels(LDV, p = 0.003). Logistic regression analysis showed that the time to virological response(p < 0.001) and HBeAg positivity(p < 0.001) were independently associated with LDV. Patients with spontaneous or treatment-induced undetectable HBV showed the lowest and similar late recurrence rates(p = 0.796). Results were similar in multiple sensitivity analyses.

Long-term AVT, regardless of preoperative or postoperative initiation, reduced post-resection late recurrence in patients with HCC and cirrhosis, especially in those with PVR.

Hepatocellular carcinoma arises in the setting of cirrhosis in most cases, requiring multidisciplinary input to define resectability. In this regard, more precise surgical management considers patient factors and anatomical states, including resection margins, tumour biology, and perioperative therapy. Together with advances in surgical techniques, this integrated approach has resulted in considerable improvements in patient morbidity and oncological outcomes. Despite this, recurrence rates in hepatocellular carcinoma remain high. As the systemic treatment landscape in hepatocellular carcinoma continues to evolve and locoregional options are increasingly used, we review current and future opportunities to individualise the surgical management of patients with hepatocellular carcinoma.

Transarterial chemoembolization (TACE) based neoadjuvant therapy was proven effective in hepatocellular carcinoma (HCC). Recently, tyrosine kinase inhibitors (TKIs) and immune checkpoint inhibitors (ICIs) also showed promise in HCC treatment. However, the prognostic benefits associated with these treatments remain uncertain. This study aimed to explore the relationship between pathologic response and prognostic features in HCC patients who received neoadjuvant therapy.

HCC patients who received TACE either with or without TKIs/ICIs as neoadjuvant therapy before liver resection were retrospectively collected from the First Affiliated Hospital, Zhejiang University School of Medicine in China. Pathologic response was determined by calculating the proportion of non-viable area within the tumor. Major pathologic response (MPR) was defined as the presence of non-viable tumor cells reaching a minimum of 90%. Complete pathologic response (CPR) was characterized by the absence of viable cells observed in the tumor.

A total of 481 patients meeting the inclusion criteria were enrolled, with 76 patients (15.8%) achieving CPR and 179 (37.2%) reaching MPR. The median recurrence-free survival (mRFS) in the CPR + MPR group was significantly higher than the non-MPR group (31.3 vs. 25.1 months). The difference in 3-year overall survival (OS) rate was not significant. Multivariate Cox regression analysis identified failure to achieve MPR (hazard ratio = 1.548, 95% confidence interval: 1.122-2.134; P = 0.008), HBsAg positivity (HR = 1.818, 95% CI: 1.062-3.115, P = 0.030), multiple lesions (HR = 2.278, 95% CI: 1.621-3.195, P < 0.001), and baseline tumor size > 5 cm (HR = 1.712, 95% CI: 1.031-2.849, P = 0.038) were independent risk factors for RFS. Subgroup analysis showed that 67 of 93 (72.0%) patients who received the combination of TACE, TKIs, and ICIs achieved MPR + CPR.

In individuals who received TACE-based neoadjuvant therapy for HCC, failure to achieve MPR emerges as an independent risk factor for RFS. Notably, the combination of TACE, TKIs, and ICIs demonstrated the highest rate of MPR.

Hepatocellular carcinoma (HCC) is the most prevalent liver cancer, with a 5-year survival rate below 20% and an average survival time of 3-6 months. Identifying new biomarkers is crucial for early diagnosis and prognosis. The function of PDZ domain protein 11 (PDZD11) in HCC remains unclear.

In this study, PDZD11 was investigated as a potential biomarker for HCC using bioinformatic analysis of the TCGA and ICGC datasets. Furthermore, we assessed the potential of serum PDZD11 as a clinical diagnostic marker by enrolling a cohort comprising 78 HCC patients and 62 healthy controls (HC) using the ELISA analysis and combining its expression with common tumor markers.

Our research found significantly higher PDZD11 mRNA expression in HCC tissues compared to tumor-adjacent tissues (p < 0.001), which was associated with lower overall survival (OS) rates (p < 0.01). Multivariate evaluation methods established PDZD11 as a standalone predictor of prognosis. A nomogram incorporating PDZD11 expression and clinicopathological factors predicted OS rates for HCC patients over various years. Patients with HCC exhibited notably elevated serum PDZD11 levels compared to HC, with these levels rising further in advanced disease stages and deteriorating performance status (PS). ROC analysis showed high diagnostic accuracy when PDZD11 is combined with AFP (AUC = 0.958).

PDZD11 is more sensitive than AFP in assessing HCC prognosis. In conclusion, PDZD11 is a promising supplementary biomarker for HCC diagnosis and prognosis alongside AFP.

Existing prognostic staging systems depend on expensive manual extraction by pathologists, potentially overlooking latent patterns critical for prognosis, or use black-box deep learning models, limiting clinical acceptance. This study introduces a novel deep learning-assisted paradigm that complements existing approaches by generating interpretable, multi-view risk scores to stratify prognostic risk in hepatocellular carcinoma (HCC) patients.

510 HCC patients were enrolled in an internal dataset (SYSUCC) as training and validation cohorts to develop the Hybrid Deep Score (HDS). The Attention Activator (ATAT) was designed to heuristically identify tissues with high prognostic risk, and a multi-view risk-scoring system based on ATAT established HDS from microscopic to macroscopic levels. HDS was also validated on an external testing cohort (TCGA-LIHC) with 341 HCC patients. We assessed prognostic significance using Cox regression and the concordance index (c-index).

The ATAT first heuristically identified regions where necrosis, lymphocytes, and tumor tissues converge, particularly focusing on their junctions in high-risk patients. From this, this study developed three independent risk factors: microscopic morphological, co-localization, and deep global indicators, which were concatenated and then input into a neural network to generate the final HDS for each patient. The HDS demonstrated competitive results with hazard ratios (HR) (HR 3.24, 95% confidence interval (CI) 1.91-5.43 in SYSUCC; HR 2.34, 95% CI 1.58-3.47 in TCGA-LIHC) and c-index values (0.751 in SYSUCC; 0.729 in TCGA-LIHC) for Disease-Free Survival (DFS). Furthermore, integrating HDS into existing clinical staging systems allows for more refined stratification, which enables the identification of potential high-risk patients within low-risk groups.

This novel paradigm, from identifying high-risk tissues to constructing prognostic risk scores, offers fresh insights into HCC research. Additionally, the integration of HDS complements the existing clinical staging system by facilitating more detailed stratification in DFS and Overall Survival (OS).

Ribosome biogenesis (RiboSis) and ribosomal stress are critical in tumor progression, positioning RiboSis as a promising therapeutic target for cancer treatment and for overcoming drug resistance. In this study, we examined the role of RiboSis in the progression from hepatitis B virus (HBV) infection to HBV-related hepatocellular carcinoma (HCC), focusing specifically on nucleolar protein 9 (NOL9) and its influence on HCC pathogenesis and therapeutic response. Our findings showed that NOL9 was significantly upregulated in HCC tissues, correlating with larger tumor sizes and more advanced pathological grades. High levels of NOL9 expression were associated with unfavorable prognosis in both the TCGA-LIHC and our HCC cohorts. Functional assays indicated that NOL9 regulated HCC cell proliferation and apoptosis; specifically, NOL9 knockdown inhibited cell proliferation and promoted apoptosis, while overexpression enhanced these processes. In vivo studies confirmed that NOL9 depletion reduced tumor growth. Mechanistically, NOL9 expression was regulated by DNA methylation and the transcription factor ZNF384. Our DNA methylation analysis revealed an inverse correlation between NOL9 expression and methylation at specific CpG sites, implicating DNMT1 in its epigenetic regulation. Additionally, NOL9-mediated cell proliferation was dependent on activation of the Wnt/β-catenin signaling pathway. This study highlights the multifaceted role of NOL9 in HCC pathogenesis, underscoring its potential as a diagnostic biomarker and therapeutic target.

Liver transplantation (LT) has been accepted as a cornerstone of care in hepatocellular carcinoma (HCC) for almost three decades. In recent years, its role has been evolving to include patients with disease burden beyond the widely used Milan criteria. The integration of dynamic biomarkers such as alpha-fetoprotein together with downstaging approaches and tumor evolution after enlistment has allowed the selection of patients most likely to benefit, resulting in 5-year survival rates greater that 70%. With the increasing use of immune checkpoint inhibitors (ICIs) across all stages of disease, alone or in combination with locoregional therapies, there is now the potential to further expand the patient population with HCC who may benefit from LT. This brings challenges, given the global shortage of organs and the need to better understand the optimal use of ICIs before transplantation. Furthermore, the field of transplant oncology awaits additional biomarkers that can predict those likely to benefit from ICIs. More than ever, a multidisciplinary approach for liver cancer management is critical to ensure all patients are considered for LT where appropriate, and do not miss the opportunity for long-term survival.

Promoting the early detection and diagnosis of hepatocellular carcinoma (HCC) is a critical strategy to improve patient outcomes as this can lead to greater access to curative treatments. This review highlights the diagnostic tests for HCC, including the use of the Liver Imaging Reporting and Data System systems and histopathology. Staging is essential for informing prognosis and guiding treatment decisions; this review also covers a widely used and well-validated staging system called the Barcelona-Clinic Liver Cancer (BCLC) algorithm. The BCLC incorporates tumor status, liver function, and patient performance to stage patients with newly diagnosed HCC.

To evaluate the efficacy of transarterial chemoembolization (TACE) combined with radiofrequency ablation (RFA) for both primary and recurrent early-stage hepatocellular carcinoma (HCC) and to analyze the significant prognostic factors.

Data from patients with early-stage primary or recurrent HCC who underwent TACE plus RFA between August 2019 and May 2024 were collected from three major general hospitals. 158 patients were divided into a primary group and a recurrent group on the basis of their baseline characteristics. Compared the objective response rate (ORR), 1-, 3-, and 5-year progression-free survival (PFS) rates, 1-, 3-, and 5-year overall survival (OS) rates, and complication rate between the two groups. Multivariate analyses were used to evaluate the factors influencing PFS and OS.

One hundred fifty-eight patients were enrolled. The ORRs of the primary and recurrent groups were 98.2% and 95.1%, respectively, with no statistically significant difference (χ2= 2.032, Ρ = 0.362). The primary group having a significantly longer PFS time than the recurrent group (Ρ < 0.001). However, there was no significant difference in the 1-, 3-, and 5-year OS rates between the two groups (Ρ = 0.218). Multivariate analysis revealed that primary or recurrent HCC and the Child‒Pugh score were significant prognostic factors for PFS, whereas the serum albumin level was a significant prognostic factor for OS.

TACE plus RFA has similar clinical efficacy and safety for both primary and recurrent early HCC. Compared with patients with primary HCC, those with recurrent disease had significantly shorter PFS times.

Hepatocellular carcinoma (HCC) is the most common primary liver cancer, the incidence of which is rising globally. Despite recent advancements in immunotherapeutic and surgical treatment modalities, the prognosis for HCC remains poor. The surgical treatment strategy for HCC comprises a multimodal effort that ranges from ablative therapy and surgical resection to liver transplantation. Thanks to collective efforts from the surgical society, there have been rapid advances in resection strategies, such as 3D printing for surgical planning and minimally invasive techniques to minimize surgical trauma. This review examines recent advancements in surgical techniques, patient selection criteria, and perioperative management for HCC resection. The purpose of this review was to provide clinicians and researchers with an up-to-date perspective on the evolving role of surgical resection in HCC treatment, and to identify key areas for future investigation to improve patient outcomes.

Hepatocellular carcinoma (HCC) is the sixth most common malignancy worldwide and the third leading cause of cancer-related deaths. Imaging plays a crucial role in the screening, diagnosis, and monitoring of HCC; however, the potential mechanism regarding phenotypes or molecular subtyping remains underexplored. Radiomics significantly expands the selection of features available by extracting quantitative features from imaging data. Radiogenomics bridges the gap between imaging and genetic/transcriptomic information by associating imaging features with critical genes and pathways, thereby providing biological annotations to these features. Despite challenges in interpreting these connections, assessing their universality, and considering the diversity in HCC etiology and genetic information across different populations, radiomics and radiogenomics offer new perspectives for precision treatment in HCC. This article provides an up-to-date summary of the advancements in radiomics and radiogenomics throughout the HCC care continuum, focusing on the clinical applications, advantages, and limitations of current techniques and offering prospects. Future research should aim to overcome these challenges to improve the prognosis of HCC patients and leverage imaging information for patient benefit.

Hepatocellular carcinoma (HCC) presents a significant global health burden, with varying survival rates across regions. The presence of pulmonary metastases (PM) in HCC predicts a poorer prognosis, yet the global understanding of the progression and management is limited.

This study aims to systematically review the burden of PM in HCC, document current treatment approaches, and evaluate treatment effectiveness through meta-analysis. A comprehensive literature search was conducted across multiple databases. Articles were screened, and data extraction was performed independently by two reviewers. Statistical analyses were conducted to synthesise data and assess treatment outcomes.

A total of 82 articles were included, comprising a population of 3241 participants with documented PM. Our analysis revealed a linear relationship between the HCC population size and the occurrence of PM (p < 0.005). Surgical intervention demonstrated the lowest hazard ratio (0.128) and significantly improved survival rates compared to other treatment modalities. However, data quality limitations underscore the need for further research to delineate patient subsets benefitting from surgical intervention for PM.

Our findings advocate for continued investigation into PM management strategies, notably the role of surgical resection alongside systemic therapies, to improve outcomes in HCC patients with PM.

Previous studies showed that 42% to 50% of patients with locally advanced hepatocellular carcinoma (HCC) achieved complete remission (CR) after combined locoregional therapy (LRT) plus immunotherapy (IO). However, data on predictors of CR and long-term clinical outcomes without surgery and after discontinuation of IO are lacking.

To assess the long-term clinical outcomes among patients with unresectable HCC who achieved CR after LRT-IO and were placed on a watch-and-wait protocol.

This cohort study included patients with unresectable HCC who achieved CR after LRT-IO in 2 prospective studies between January 2018 and December 2022. The time of data cutoff was June 2023. Radiologic CR was defined per modified Response Evaluation Criteria in Solid Tumors. All patients underwent close surveillance after CR without surgical interventions, and IO was discontinued.

All patients had received stereotactic body radiotherapy followed by anti-programmed cell death protein 1 or anti-programmed death ligand 1 therapy. Forty-nine patients had received a dose of transarterial chemoembolization before stereotactic body radiotherapy.

The primary outcome was the 3-year overall survival (OS) rate. Secondary outcomes included the 3-year time-to-progression rate, 3-year local control rate, and relapse pattern. Factors associated with CR were analyzed using multivariate analyses.

A total of 63 patients were enrolled (58 male [92.1%]; median age, 69 years [range, 18-90 years]); 38 patients (60.3%) had macrovascular invasion, and the median tumor diameter was 10 cm (range, 3.8-31.1 cm). The median follow-up time was 34.7 months (95% CI, 6.5-64.6 months). Twenty-nine patients (46.0%) achieved CR. The patients achieving CR had a significantly better 3-year OS rate than patients not achieving CR (75.5% [95% CI, 58.2%-98.3%] vs 28.1% [95% CI, 7.4%-29.4%]; P < .001). Among the 29 patients with CR, the 3-year time-to-progression rate was 58.7% (95% CI, 38.7%-79.1%) and the 3-year local control rate was 90.5% (95% CI, 78.2%-100%). Ten patients (34.5%) developed recurrence; among them, 6 (60.0%) with solitary intrahepatic disease relapse underwent curative surgical treatment. The absence of tumor vascular invasion (odds ratio, 0.30; 95% CI, 0.10-0.89) and the sum of the largest lesion diameters of 8 cm or less (odds ratio, 0.26; 95% CI, 0.07-0.98) were associated with CR.

This cohort study of LRT-IO with long-term follow-up data found a durable response in patients with locally advanced unresectable HCC. Long-term survival was attainable in patients with radiologic CR. Further randomized clinical trials are warranted.

Hepatic, biliary, and pancreatic cancer pose significant challenges in the field of digestive system diseases due to their highly malignant nature. Traditional Chinese medicine (TCM) has gained attention as a potential therapeutic approach with long-standing use in China and well-recognized clinical benefits. In this review, we systematically summarized the clinical applications of TCM that have shown promising results in clinical trials in treating hepatic, biliary, and pancreatic cancer. We highlighted several commonly used TCM therapeutics with validated efficacy through rigorous clinical trials, including Huaier Granule, Huachansu, and Icaritin. The active compounds and their potential targets have been thoroughly elucidated to offer valuable insights into the potential of TCM for anti-cancer drug discovery. We emphasized the importance of further research to bridge the gap between TCM and modern oncology, facilitating the development of evidence-based TCM treatment for these challenging malignancies.

Abnormal activation of the YAP transcriptional signaling pathway drives proliferation in many hepatocellular carcinoma (HCC) and hepatoblastoma (HB) cases. Current treatment options often face resistance and toxicity, highlighting the need for alternative therapies. This article reports the discovery of a hit compound C-3 from docking-based virtual screening targeting TEAD lipid binding pocket, which inhibited TEAD-mediated transcription. Optimization led to the identification of a potent and covalent inhibitor CV-4-26 that exhibited great antitumor activity in HCC and HB cell lines in vitro, xenografted human HCC, and murine HB in vivo. These outcomes signify the potential of a highly promising therapeutic candidate for addressing a subset of HCC and HB cancers. In the cases of current treatment challenges due to high upregulation of YAP-TEAD activity, these findings offer a targeted alternative for more effective interventions against liver cancer.

The heterogeneity of hepatocellular carcinoma (HCC) can prevent effective treatment, emphasizing the need for more effective therapies. Herein, we employed arsenene nanosheets coated with manganese dioxide and polyethylene glycol (AMPNs) for the degradation of Pin1, which is universally overexpressed in HCC. By employing an "AND gate", AMPNs exhibited responsiveness toward excessive glutathione and hydrogen peroxide within the tumor microenvironment, thereby selectively releasing AsxOy to mitigate potential side effects of As2O3. Notably, AMPNs induced the suppressing Pin1 expression while simultaneously upregulation PD-L1, thereby eliciting a robust antitumor immune response and enhancing the efficacy of anti-PD-1/anti-PD-L1 therapy. The combination of AMPNs and anti-PD-1 synergistically enhanced tumor suppression and effectively induced long-lasting immune memory. This approach did not reveal As2O3-associated toxicity, indicating that arsenene-based nanotherapeutic could be employed to amplify the response rate of anti-PD-1/anti-PD-L1 therapy to improve the clinical outcomes of HCC patients and potentially other solid tumors (e.g., breast cancer) that are refractory to anti-PD-1/anti-PD-L1 therapy.

Hepatocellular carcinoma (HCC) in autoimmune hepatitis (AIH) was considered rare but is increasing with prolonged prognosis. Its impact on the overall prognosis of AIH is unknown, and treatment has not been established.

To investigate the risk factors and prognosis of HCC in patients with AIH and identify appropriate management strategies.

We studied patients with AIH including background liver disease, sex, age, complications, treatment, response to treatment, liver fibrosis, prognosis, and treatment.

In 131 patients, deaths due to liver failure were more common early after the onset of AIH; however, deaths due to HCC increased gradually. HCC was observed in 12 patients (median age, 70 years; male/female, 4/8; cirrhosis at onset, 11; median time to carcinogenesis, 7 years). Cirrhosis at diagnosis was identified as a risk factor for carcinogenesis in the multivariate analysis (odds ratio, 41.36; p < 0.0001) and cumulative cancer rates were high. Multidisciplinary therapy other than immune checkpoint inhibitors was administered as treatment for HCC. Two of the three patients who used molecular-targeted drugs discontinued the treatment because of adverse events.

HCC is an important cause of death in patients with AIH. Currently available drug therapies are limited and early detection is desirable.

This trial was retrospectively registered in the Ethics Committee of Kagawa University School of Medicine under the identifier 2019 - 238, registered on 4 Feb 2020.

Liver cancer, specifically hepatocellular carcinoma (HCC), is the sixth most common cancer and the third leading cause of cancer mortality worldwide. The development of effective systemic therapies, particularly those involving immune-checkpoint inhibitors (ICIs), has substantially improved the outcomes of patients with advanced-stage HCC. Approximately 30% of patients are diagnosed with early stage disease and currently receive potentially curative therapies, such as resection, liver transplantation or local ablation, which result in median overall survival durations beyond 60 months. Nonetheless, up to 70% of these patients will have disease recurrence within 5 years of resection or local ablation. To date, the results of randomized clinical trials testing adjuvant therapy in patients with HCC have been negative. This major unmet need has been addressed with the IMbrave 050 trial, demonstrating a recurrence-free survival benefit in patients with a high risk of relapse after resection or local ablation who received adjuvant atezolizumab plus bevacizumab. In parallel, studies testing neoadjuvant ICIs alone or in combination in patients with early stage disease have also reported efficacy. In this Review, we provide a comprehensive overview of the current approaches to manage patients with early stage HCC. We also describe the tumour immune microenvironment and the mechanisms of action of ICIs and cancer vaccines in this setting. Finally, we summarize the available evidence from phase II/III trials of neoadjuvant and adjuvant approaches and discuss emerging clinical trials, identification of biomarkers and clinical trial design considerations for future studies.

There are limited data on antiviral treatment utilization and its impact on long-term outcomes of hepatitis B virus (HBV)- and hepatitis C virus (HCV)-related hepatocellular carcinoma (HCC) after hepatic resection. We aimed to determine the utilization and impact of antivirals in HBV- and HCV-related HCC.

This cohort study included 1,906 participants (1,054 HBV-related HCC and 852 HCV-related HCC) from 12 international sites. All participants had HBV- or HCV-related HCC and underwent curative surgical resection. The primary outcome was the utilization of antiviral therapy, and the secondary outcome was long-term overall survival (OS).

The mean (±standard deviation [SD]) age was 62.1 (±11.3) years, 74% were male, and 84% were Asian. A total of 47% of the total cohort received antiviral therapy during a mean (±SD) follow-up of 5.0 (±4.3) years. The overall antiviral utilization for participants with HBV-related HCC was 57% and declined over time, from 65% before 2010, to 60% from 2010 to 2015, to 47% beyond 2015, P < .0001. The overall utilization of antivirals for HCV-related HCC was 35% and increased over time, from 24% before 2015 to 74% from 2015 and beyond, P < .0001. The 10-year OS was lower in untreated participants for both HBV (58% v 61%) and HCV participants (38% v 82%; both P < .0001). On multivariable Cox regression analysis adjusted for relevant confounders, antiviral therapy initiated before or within 6 months of HCC diagnosis was independently associated with lower mortality in both HBV- (adjusted hazard ratio [aHR], 0.60 [95% CI, 0.43 to 0.83]; P = .002) and HCV-related HCC (aHR, 0.18 [95% CI, 0.11 to 0.31]; P < .0001).

Antiviral therapy is associated with long-term survival in people with HBV- or HCV-related HCC who undergo curative resection but is severely underutilized.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality and often arises in the setting of cirrhosis. The present series reviews outcomes following 791 operations.

Retrospective review surgical MWA for HCC from March 2007 through December 2022 at a high-volume institution was performed using a prospective database. Primary outcome was overall survival.

A total of 791 operations in 623 patients and 1156 HCC tumors were treated with surgical MWA. Median tumor size was 2 cm (range 0.25-10 cm) with an average of 1 tumor ablated per operation (range 1-7 tumors). Nearly 90 % of patients had cirrhosis with a median MELD score of 8 (IQR = 6-11). Mortality within 30 days occurred in 13 patients (1.6 %). Per tumor, the rate of incomplete ablation was 2.25 % and local recurrence was 2.95 %. Previous ablation and tumor size were risk factors for recurrence. One-year overall survival was 82.0 % with a median overall survival of 36.5 months (95 % CI 15.7-93.7) and median disease-free survival of 15.9 months (range 5.7-37.3 months).

Surgical MWA offers a low-morbidity approach for treatment of HCC, affording low rates of incomplete ablation and local recurrence.

With the development of guidance technology and ablation equipment, ablative procedures have emerged as important loco-regional alternatives to surgical resection for recurrent hepatocellular carcinoma (rHCC) patients. Currently, ablation modalities used in clinical practice mainly include radiofrequency ablation (RFA), microwave ablation (MWA), laser ablation (LA), cryoablation (CRA), high-intensity focused ultrasound (HIFU), and irreversible electroporation (IRE). Accumulated comparative data of ablation versus surgical resection reveal noninferior responses and outcomes but superior adverse effects. Moreover, studies demonstrate that ablation may serve as an excellent procedure for rHCC given its exact minimal invasiveness and immune modulation. We focus on the current status of ablation in clinical practice for rHCC and discuss new research in the field, including ablation combined with these other modalities, such as targeted therapy and immunotherapy.

Liver cancer is the third leading cause of cancer-related deaths and ranks as the sixth most prevalent cancer type globally. NAFLD or metabolic dysfunction-associated steatotic liver disease, and its more severe manifestation, NASH or metabolic dysfunction-associated steatohepatitis (MASH), pose a significant global health concern, affecting approximately 20%-25% of the population. The increased prevalence of metabolic dysfunction-associated steatotic liver disease and MASH is parallel to the increasing rates of obesity-associated metabolic diseases, including type 2 diabetes, insulin resistance, and fatty liver diseases. MASH can progress to MASH-related HCC (MASH-HCC) in about 2% of cases each year, influenced by various factors such as genetic mutations, carcinogen exposure, immune microenvironment, and microbiome. MASH-HCC exhibits distinct molecular and immune characteristics compared to other causes of HCC and affects both men and women equally. The management of early to intermediate-stage MASH-HCC typically involves surgery and locoregional therapies, while advanced HCC is treated with systemic therapies, including anti-angiogenic therapies and immune checkpoint inhibitors. In this comprehensive review, we consolidate previous research findings while also providing the most current insights into the intricate molecular processes underlying MASH-HCC development. We delve into MASH-HCC-associated genetic variations and somatic mutations, disease progression and research models, multiomics analysis, immunological and microenvironmental impacts, and discuss targeted/combined therapies to overcome immune evasion and the biomarkers to recognize treatment responders. By furthering our comprehension of the molecular mechanisms underlying MASH-HCC, our goal is to catalyze the advancement of more potent treatment strategies, ultimately leading to enhanced patient outcomes.

Hepatocellular carcinoma (HCC) patients have a poor prognosis after radio-frequency ablation (RFA), and investigating the risk factors affecting RFA and establishing predictive models are important for improving the prognosis of HCC patients.

Patients with HCC undergoing RFA in Shenzhen People's Hospital between January 2011 and December 2021 were included in this study. Using the screened independent influences on recurrence and survival, predictive models were constructed and validated, and the predictive models were then used to classify patients into different risk categories and assess the prognosis of different categories.

Cox regression model indicated that cirrhosis (hazard ratio [HR] = 1.65), alpha-fetoprotein (AFP) ⩾400 ng/mL (HR = 2.03), tumor number (multiple) (HR = 2.11), tumor diameter ⩾20 mm (HR = 2.30), and platelets (PLT) ⩾ 244 (109/L) (HR = 2.37) were independent influences for recurrence of patients after RFA. On the contrary, AFP ⩾400 ng/mL (HR = 2.48), tumor number (multiple) (HR = 2.52), tumor diameter ⩾20 mm (HR = 2.25), PLT ⩾244 (109/L) (HR = 2.36), and hemoglobin (HGB) ⩾120 (g/L) (HR = 0.34) were regarded as independent influences for survival. The concordance index (C-index) of the nomograms for predicting disease-free survival (DFS) and overall survival (OS) was 0.727 (95% confidence interval [CI] = 0.770-0.684) and 0.770 (95% CI = 0.821-7.190), respectively. The prognostic performance of the nomograms was significantly better than other staging systems by analysis of the time-dependent C-index and decision curves. Each patient was scored using nomograms and influencing factors, and patients were categorized into low-, intermediate-, and high-risk groups based on their scores. In the Kaplan-Meier survival curve, DFS and OS were significantly better in the low-risk group than in the intermediate- and high-risk groups.

The 2 prediction models created in this work can effectively predict the recurrence and survival rates of HCC patients following RFA.

Hepatocellular carcinoma (HCC) is the third leading cause of cancer death worldwide. Surveillance for HCC is critical for early detection and treatment, but fewer than one-quarter of individuals at risk of HCC undergo surveillance. Multiple failures across the screening process contribute to the underutilization of surveillance, including limited disease awareness among patients and health-care providers, knowledge gaps, and difficulty recognizing patients who are at risk. Non-alcoholic fatty liver disease and alcohol-associated liver disease are the fastest-rising causes of HCC-related death worldwide and are associated with unique barriers to surveillance. In particular, more than one-third of patients with HCC related to non-alcoholic fatty liver disease do not have cirrhosis and therefore lack a routine indication for HCC surveillance on the basis of current practice guidelines. Semi-annual abdominal ultrasound with measurement of α-fetoprotein levels is recommended for HCC surveillance, but the sensitivity of this approach for early HCC is limited, especially for patients with cirrhosis or obesity. In this Review, we discuss the current status of HCC surveillance and the remaining challenges, including the changing aetiology of liver disease. We also discuss strategies to improve the utilization and quality of surveillance for HCC.

Hepatocellular carcinoma (HCC) mortality rates are increasing globally, and particularly in the Western world. Cirrhosis remains the predominant risk factor for HCC. However, epidemiological shifts in the incidence of HCC from patients with virus-related liver disease to those with non-viral aetiologies, including alcohol-associated and metabolic dysfunction-associated steatotic liver disease, have important implications for prevention, surveillance and treatment. Hepatitis B vaccination and antiviral therapy for hepatitis B and C are effective for primary prevention of virus-related HCCs, but chemoprevention strategies for non-viral liver disease remain an unmet need. Emerging data suggest associations between aspirin, statins, metformin and coffee and reduced HCC incidence, although none has been proved to be causally related. Secondary prevention of HCC via semi-annual surveillance is associated with improvements in early detection and thus reduced mortality; however, current tools, including abdominal ultrasonography, have suboptimal sensitivity for the detection of early stage HCC, particularly in patients with obesity and/or non-viral liver disease. Promising blood-based or imaging-based surveillance strategies are emerging, although these approaches require further validation before adoption in clinical practice. In the interim, efforts should be focused on maximizing use of the existing surveillance tools given their prevalent underuse globally. Remarkable advances have been made in the treatment of HCC, including expanded eligibility for surgical therapies, improved patient selection for locoregional treatments and increased systemic treatment options, including immune-checkpoint inhibitors. In this Review, we discuss trends in the epidemiology of HCC and their implications for screening, prevention and therapy.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related death worldwide. The incidence of HCC is affected by genetic and non-genetic factors. Genetically, mutations in the genes, tumor protein P53 (TP53), catenin beta 1 (CTNNB1), AT-rich interaction domain 1A (ARIC1A), cyclin dependent kinase inhibitor 2A (CDKN2A), mannose 6-phosphate (M6P), smooth muscle action against decapentaplegic (SMAD2), retinoblastoma gene (RB1), cyclin D, antigen presenting cells (APC), AXIN1, and E-cadherin, have been shown to contribute to the occurrence of HCC. Non-genetic factors, including alcohol consumption, exposure to aflatoxin, age, gender, presence of hepatitis B (HBV), hepatitis C (HCV), and non-alcoholic fatty liver disease (NAFLD), increase the risk of HCC.

The severity of the disease and its occurrence vary based on geographical location. Furthermore, men and minorities have been shown to be disproportionately affected by HCC, compared with women and non-minorities. Ethnicity has been reported to significantly affect tumorigenesis and clinical outcomes in patients diagnosed with HCC. Generally, differences in gene expression and/or the presence of comorbid medical diseases affect or influence the progression of HCC. Non-Caucasian HCC patients are significantly more likely to have poorer survival outcomes, compared to their Caucasian counterparts. Finally, there are a number of factors that contribute to the success rate of treatments for HCC.

Assessment and treatment of HCC must be consistent using evidence-based guidelines and standardized outcomes, as well as international clinical practice guidelines for global consensus. Standardizing the assessment approach and method will enable comparison and improvement of liver cancer research through collaboration between researchers, healthcare providers, and advocacy groups. In this review, we will focus on discussing epidemiological factors that result in deviations and changes in treatment approaches for HCC.

Minimally invasive surgery may confer perioperative benefit to patients with resectable Hepatocellular Carcinoma (HCC) but published data are limited. Robotic resection for HCC has recently been introduced in our institution, and the goal of this study is to benchmark patient outcomes against open and laparoscopic surgery.

A retrospective evaluation was performed of all patients undergoing liver resection for HCC in our institution between September 2012 and November 2022 using a prospectively maintained database. Data were collected relating to demographics, pre-operative staging, co-morbidities, type of resection, operative time, surgical technique, histology, length of stay, and post-operative complications. A propensity score matched analysis was performed to compare outcomes for open, laparoscopic, and robotic surgery.

106 patients were identified. 66 (62%) had open, 26 (25%) laparoscopic, and 14 (13%) had a robotic resection. Using propensity matched analysis, robotic liver resections for HCC were associated with a non-significantly lower risk of ICU admission than open surgery (0 v 21%, p = 0.16). A lower risk of conversion to open than laparoscopic surgery was seen within the unmatched cohort (0 v 23%, p = 0.07), albeit there was a significantly longer median operative times than open or laparoscopic resection (285 min v 192 and 147 respectively, p<0.001).

Our data show that robotic hepatectomy is a safe alternative to open and laparoscopic resection for HCC in terms of perioperative outcomes despite increased operative times. Longer-term data will be needed to confirm the oncological safety of this approach.

Vessels that encapsulate tumor clusters (VETC) is a newly discovered vascular pattern in hepatocellular carcinoma (HCC), representing high biological aggressiveness. However, it remains unclear whether the prognostic impact of VETC differs in patients with different staged HCC. This study aimed to evaluate the effect of VETC on the prognosis of patients with HCC at different stages after hepatectomy.

Patients who underwent hepatectomy for HCC between January 2005 and December 2019 were assessed, and stratified according to their Barcelona Clinic Liver Cancer (BCLC) stage. Overall survival (OS) and disease-free survival (DFS) were compared between patients with and without VETC. Independent risk factors of OS and DFS were determined by multivariable Cox regression analyses.

A total of 837 consecutive patients undergoing curative hepatectomy were enrolled, and VETC pattern was found in 339 (40.5%) patients. The incidence of VETC in patients at BCLC-0, BCLC-A, BCLC-B and BCLC-C stage was 17.8%, 40.2%, 53.7% and 66.0%, respectively. In the entire patients, VETC+ patients had significantly lower OS and DFS than VETC- patients. After stratification of patients according to BCLC stage, VETC was associated with worse OS and DFS only in patients at BCLC-A and BCLC-B stages, but not in those at BCLC-0 and BCLC-C stages. Multivariable analyses also revealed that VETC was an independent risk factor for OS and DFS in both the patients at BCLC-A and BCLC-B stages.

VETC is associated with poor OS and DFS in patients with HCC at BCLC-A and BCLC-B stage after hepatectomy, but it does not affect the survival of patients with HCC at BCLC-0 and BCLC-C stage after hepatectomy.

Incidence of hepatocellular carcinoma (HCC) is increasing globally. Radioembolization (RE)/selective internal radiotherapy (SIRT) is a promising treatment for inoperable HCC. RE triggers an immune response, involving extracellular vesicles (EVs) which are crucial for cell communication and tumor development. This study explores EV immune profiles and origins in patients with inoperable HCC before and after SIRT/RE. Blood samples from 50 HCC-patients treated with SIRT/RE were collected before and after therapy to determine cytokines and isolate EVs using size exclusion chromatography. The dynamic range and EV quality required for detecting variations in surface markers were assessed. Thirty-seven EV surface markers were analyzed using flow cytometry and correlated with clinical parameters. Several immunological markers (CD4, CD2, CD40, CD45, CD49e, CD69, CD209-EVs) were present in the circulation of HCC patients. These markers positively correlated with therapy response and survival. Conversely, B cell CD20, endothelial cell CD146, platelet CD49e, and CD41b EV markers negatively correlated with 60-day survival. Elevated levels of IL-6 and IL-8 before therapy correlated negatively with patient survival, coinciding with a positive correlation with CD20-positive EVs. Plasma EVs from HCC patients exhibit immunological, cancer, and coagulation markers, including potential biomarkers (CD4, CD20, CD49e, CD146). These may enhance our understanding of cancer biology and facilitate SIRT therapy monitoring.

Olea europaea L. leaves contain a wide variety of pentacyclic triterpenes (TTPs). TTPs exhibit many pharmacological activities, including antihyperlipidemic effects. Metabolic alterations, such as dyslipidemia, are an established risk factor for hepatocellular carcinoma (HCC). Therefore, the use of TTPs in the adjunctive treatment of HCC has been proposed as a possible method for the management of HCC. However, TTPs are characterized by poor water solubility, permeability, and bioavailability. In this work, a microemulsion (ME) loading a TTP-enriched extract (EXT) was developed, to overcome these limits and obtain a formulation for oral administration. The extract-loaded microemulsion (ME-EXT) was fully characterized, assessing its chemical and physical parameters and release characteristics, and the stability was evaluated for two months of storage at 4 °C and 25 °C. PAMPA (parallel artificial membrane permeability assay) was used to evaluate the influence of the formulation on the intestinal passive permeability of the TTPs across an artificial membrane. Furthermore, human hepatocarcinoma (HepG2) cells were used as a cellular model to evaluate the effect of EXT and ME-EXT on de novo lipogenesis induced by elevated glucose levels. The effect was evaluated by detecting fatty acid synthase expression levels and intracellular lipid accumulation. ME-EXT resulted as homogeneous dispersed-phase droplets, with significantly increased EXT aqueous solubility. Physical and chemical analyses showed the high stability of the formulation over 2 months. The formulation realized a prolonged release of TTPs, and permeation studies demonstrated that the formulation improved their passive permeability. Furthermore, the EXT reduced the lipid accumulation in HepG2 cells by inhibiting de novo lipogenesis, and the ME-EXT formulation enhanced the inhibitory activity of EXT on intracellular lipid accumulation.

The present study aimed to determine the expression levels of p53 in patients with hepatocellular carcinoma (HCC) and to evaluate its association with several HCC-related prognostic factors and in particular, with tumor stage, grade and subtype. Therefore, a cross-sectional study, involving 41 patients with HCC, who underwent surgical resection between January, 2013 and December, 2020 was conducted. To assess the expression levels of p53 in all patients with HCC, immunohistochemical staining was performed. In addition, the association between p53 expression and the clinicopathological characteristics of patients with HCC, including prognostic factors, was evaluated by applying the appropriate statistical analysis methods. The results revealed that among the 41 patients enrolled, 35 patients (85.4%) were positive for p53 expression. A higher percentage of positive p53 expression was observed in male patients >60 years old, with single HCC nodules >5 cm in diameter and vascular invasion, compared with their counterparts. A positive p53 expression was associated with well- and poorly differentiated HCC, but not with tumor stage and subtype. No differences in p53 expression were observed across different tumor stages and subtypes. Additionally, patients with moderately and poorly differentiated HCC exhibited significantly higher p53 expression levels compared with those suffering from well-differentiated HCC. Overall, the results demonstrated that the rate of p53 immuno-positive cells was increased in patients with HCC. In addition, p53 expression was associated with well- and poorly differentiated HCC, thus suggesting its association with a poorer prognosis.

As the most common malignant tumor worldwide, hepatocellular carcinoma (HCC) has a high rate of death and recurrence, and microvascular invasion (MVI) is considered to be an independent risk factor affecting its early recurrence and poor survival rate. Accurate preoperative prediction of MVI is of great significance for the formulation of individualized treatment plans and long-term prognosis assessment for HCC patients. However, as the mechanism of MVI is still unclear, existing studies use deep learning methods to directly train CT or MR images, with limited predictive performance and lack of explanation. We map the pathological "7-point" baseline sampling method used to confirm the diagnosis of MVI onto MR images, propose a vision-guided attention-enhanced network to improve the prediction performance of MVI, and validate the prediction on the corresponding pathological images reliability of the results. Specifically, we design a learnable online class activation map (CAM) to guide the network to focus on high-incidence regions of MVI guided by an extended tumor mask. Further, an attention-enhanced module is proposed to force the network to learn image regions that can explain the MVI results. The generated attention maps capture long-distance dependencies and can be used as spatial priors for MVI to promote the learning of vision-guided module. The experimental results on the constructed multi-center dataset show that the proposed algorithm achieves the state-of-the-art compared to other models.