Epidemiology of Hepatocellular Carcinoma

miR-10b-5p promotes tumor growth by regulating cell metabolism in liver cancer via targeting SLC38A2

Metabolic reprogramming plays a critical role in hepatocarcinogenesis. However, the mechanisms regulating metabolic reprogramming in primary liver cancer (PLC) are unknown. Differentially expressed miRNAs between PLC and normal tissues were identified using bioinformatic analysis. RT-qPCR was used to determine miR-10b-5p and SCL38A2 expression levels. IHC, WB, and TUNEL assays were used to assess the proliferation and apoptosis of the tissues. The proliferation, migration, invasion, and apoptosis of PLC cells were determined using the CCK-8 assay, Transwell assay, and flow cytometry. The interaction between miR-10b-5p and SLC38A2 was determined using dual-luciferase reporter assay. A PLC xenograft model in BALB/c nude mice was established, and tumorigenicity and SLC38A2 expression were estimated. Finally, liquid chromatography - mass spectrometry (LC-MS) untargeted metabolomics was used to analyze the metabolic profiles of xenograft PLC tissues in nude mice. miR-10b-5p was a key molecule in the regulation of PLC. Compared with para-carcinoma tissues, miR-10b-5p expression was increased in tumor tissues. miR-10b-5p facilitated proliferation, migration, and invasion of PLC cells. Mechanistically, miR-10b-5p targeted SLC38A2 to promote PLC tumor growth. Additionally, miR-10b-5p altered the metabolic features of PLC in vivo. Overexpression of miR-10b-5p resulted in remarkably higher amounts of lumichrome, folic acid, octanoylcarnitine, and Beta-Nicotinamide adenine dinucleotide, but lower levels of 2-methylpropanal, glycyl-leucine, and 2-hydroxycaproic acid. miR-10b-5p facilitates the metabolic reprogramming of PLC by targeting SLC38A2, which ultimately boosts the proliferation, migration, and invasion of PLC cells. Therefore, miR-10b-5p and SLC38A2 are potential targets for PLC diagnosis and treatment.

Establishment and characterization of a highly metastatic hepatocellular carcinoma cell line

The prevalence of alcohol-related hepatocellular carcinoma (HCC) has been increasing during the last decade. Cancer research requires cell lines suitable for both in vitro and in vivo assays. However, there is a lack of cell lines with a high in vivo metastatic capacity for this HCC subtype. Herein, a new HCC cell line was established, named HCC-ZJ, using cells from a patient diagnosed with alcohol-related HCC. The karyotype of HCC-ZJ was 46, XY, del (p11.2). Whole-exome sequencing identified several genetic variations in HCC-Z that occur frequently in alcohol-associated HCC, such as mutations in TERT, CTNNB1, ARID1A, CDKN2A, SMARCA2, and HGF. Cell counting kit-8 assays, colony formation assays, and Transwell assays were performed to evaluate the proliferation, migration, and sensitivity to sorafenib and lenvatinib of HCC-Z in vitro. HCC-ZJ showed a robust proliferation rate, a weak foci-forming ability, a strong migration capacity, and a moderate invasion tendency in vitro. Finally, the tumorigenicity and metastatic capacity of HCC-Z were evaluated using a subcutaneous xenograft model, an orthotopic xenograft model, and a tail-veil injection model. HCCZJ exhibited strong tumorigenicity in the subcutaneous xenograft and orthotopic tumor models. Moreover, HCC-ZJ spontaneously formed pulmonary metastases in the orthotopic tumor model. In summary, a new HCC cell line derived from a patient with alcohol-related HCC was established, which showed a high metastatic capacity and could be applied for in vitro and in vivo experiments during pre-clinical research.Highlights• An alcohol-related HCC cell line, HCC-ZJ, was established• HCC-ZJ was applicable for in vitro functional experiment and gene editing• HCC-ZJ was applicable for in vivo tumor growth and spontaneous metastasis models.

SIGIRR suppresses hepatitis B virus X protein-induced chronic inflammation in hepatocytes

Although antiviral drugs can effectively inhibit hepatitis B virus (HBV) replication, the maintenance of chronic inflammation in the liver is still considered to be an important cause for the progression of HBV-related liver disease to liver fibrosis and advanced liver disease. As an endogenous inhibitory receptor of IL-1R and TLR signaling pathways, single immunoglobulin interleukin-1-related receptor (SIGIRR) has been proven to reduce inflammation in tissues to maintain system homeostasis. However, the relationship between SIGIRR expression and HBV replication and inflammatory pathway activation in hepatocytes remains unclear. In this study, hepatitis B virus X protein (HBx) upregulated MyD88 in liver cells, promoting NF-κB signaling and inflammatory factor production with LPS treatment, and the cell supernatant accelerated the activation and collagen secretion of hepatic stellate cells. However, SIGIRR overexpression suppressed HBx-mediated MyD88/NF-κB inflammatory signaling activation and inflammatory cytokine production induced by LPS in hepatocytes and HBV replication hepatocytes. Although we did not find any effect of SIGIRR on HBV replication in vitro, this study investigated the role of SIGIRR in blocking the proinflammatory function of HBx, which may provide a new idea for the treatment of chronic hepatitis B.

Living Donor Liver Transplantation for Hepatocellular Carcinoma

Liver transplantation (LT) offers the best chance of cure for patients with hepatocellular carcinoma (HCC), as it addresses simultaneously the underlying disease and the tumour. The Milan criteria has been the standard for over 3 decades in selecting patients with HCC who will benefit from LT. While, early studies showed higher recurrence rates for HCC following living donor LT (LDLT), recent series, especially in the past decade have shown LDLT to have equal oncological outcomes as compared to deceased donor LT (DDLT) for HCC, even in patients beyond Milan criteria. Further, the intention to treat analysis data suggests that LDLT may actually provide a survival advantage. In the west, factors such as improved outcomes on par with DDLT, ability to time the LT etc., have led to a steadily increased number of LDLTs being performed for this indication. On the other hand, in the east, given its geo-socio-cultural idiosyncrasies, LDLT has always been the predominant form of LT for HCC, consequently resulting in an increased number of LDLTs being performed for this indication across the world. While LDLT in HCC has its distinctive advantages compared to DDLT, the double equipoise of balancing the donor risk with the recipient outcomes has to be considered while selecting patients for LDLT. There have been several advances including the application of downstaging therapies and the use of biological markers, which have further helped improve outcomes of LDLT for this indication. This review aims to provide an update on the current advances in the field of transplant oncology related to the practice of LDLT in HCC.

LncRNA DARS-AS1 in human cancers: A comprehensive review of its potency as a biomarker and therapeutic target

Long non-coding RNAs have emerged as important players in cancer biology. Increasing evidence has uncovered their potency in improving cancer management as they can be used as a credible prognostic and diagnostic biomarker. Recently, DARS-AS1 has gained significant attention for its involvement in facilitating tumor progression. So far, numerous research has been reported its upregulation in different malignancies of human body systems and revealed its association with cancer hallmarks as well as clinicopathological characteristics. Importantly, targeting DARS-AS1 holds promise in cancer therapy. In the current study, we provide an in-depth analysis of its expression status and explore the underlying mechanisms through which DARS-AS1 contributes to tumor initiation, growth, invasion, and metastasis. Additionally, we examine the correlation between DARS-AS1 expression and clinicopathological features of cancer patients, shedding light on its potential as a cancer biomarker. Furthermore, we discuss the therapeutic potential of targeting DARS-AS1 in cancer treatment, highlighting emerging strategies, such as RNA interference and small molecule inhibitors. Boosting the understanding of its functional role can open new avenues for precision medicine, thus resulting in better outcomes for cancer patients.

Association of GLP-1 Receptor Agonists and Hepatocellular Carcinoma Incidence and Hepatic Decompensation in Patients With Type 2 Diabetes

BACKGROUND & AIMS

Hepatocellular carcinoma (HCC) is a leading cause of cancer death. HCC is preventable with about 70% of HCC attributable to modifiable risk factors. Glucagon-like peptide-1 receptor agonists (GLP-1RAs), Food and Drug Administration-approved medications for treating type 2 diabetes mellitus (T2DM), have pleiotropic effects on counteracting risk factors for HCC. Here we evaluate the association of GLP-1RAs with incident HCC risk in a real-world population.

METHODS

This retrospective cohort included 1,890,020 patients with a diagnosis of T2DM who were prescribed GLP-1RAs or other non-GLP-1RA anti-diabetes medications and had no prior diagnosis of HCC. Incident (first-time) diagnosis of HCC and hepatic decompensating events during a 5-year follow-up was compared between cohorts of patients prescribed GLP-1 RAs vs other anti-diabetes medications. Time-to-first-event analysis was performed using Kaplan-Meier survival analysis with hazard ratio and 95% confidence interval calculated.

RESULTS

GLP-1RAs were associated with a lower risk of incident HCC with hazard ratio of 0.20 [0.14-0.31], 0.39 [0.21-0.69], 0.63 [0.26-1.50] compared with insulin, sulfonylureas, and metformin, respectively. GLP-1RAs were associated with a significantly lower risk of hepatic decompensation compared with 6 other anti-diabetes medications. Reduced risks were observed in patients without and with different stages of fatty liver diseases, with more profound effects in patients without liver diseases. Similar findings were observed in patients with and without obesity and alcohol or tobacco use disorders. GLP-1RA combination therapies were associated with decreased risk for HCC and hepatic decompensations compared with monotherapies.

CONCLUSIONS

GLP-1RAs were associated with a reduced risk of incident HCC and hepatic decompensation compared with other anti-diabetes medications in patients with T2DM. These findings provide supporting evidence for future studies to investigate the underlying mechanisms and their clinical use.

Phenotypes of Metabolic Dysfunction-Associated Steatotic Liver Disease-Associated Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) typically develops as a consequence of liver cirrhosis, but HCC epidemiology has evolved drastically in recent years. Metabolic dysfunction-associated steatotic liver disease (MASLD), including metabolic dysfunction-associated steatohepatitis, has emerged as the most common chronic liver disease worldwide and a leading cause of HCC. A substantial proportion of MASLD-associated HCC (MASLD-HCC) also can develop in patients without cirrhosis. The specific pathways that trigger carcinogenesis in this context are not elucidated completely, and recommendations for HCC surveillance in MASLD patients are challenging. In the era of precision medicine, it is critical to understand the processes that define the profiles of patients at increased risk of HCC in the MASLD setting, including cardiometabolic risk factors and the molecular targets that could be tackled effectively. Ideally, defining categories that encompass key pathophysiological features, associated with tailored diagnostic and treatment strategies, should facilitate the identification of specific MASLD-HCC phenotypes. In this review, we discuss MASLD-HCC, including its epidemiology and health care burden, the mechanistic data promoting MASLD, metabolic dysfunction-associated steatohepatitis, and MASLD-HCC. Its natural history, prognosis, and treatment are addressed specifically, as the role of metabolic phenotypes of MASLD-HCC as a potential strategy for risk stratification. The challenges in identifying high-risk patients and screening strategies also are discussed, as well as the potential approaches for MASLD-HCC prevention and treatment.

Heterogeneity of hepatocellular carcinoma that responds differently to combination therapy with TACE and Sorafenib as determined by digital spatial gene expression profiling

BACKGROUND

The combination of Sorafenib and transcatheter arterial chemoembolization (TACE) exhibits limited efficacy in the treatment of certain advanced hepatocellular carcinomas (HCC), and the molecular mechanisms underlying resistance to this combination remain unclear.

OBJECTIVE

This study aims to underscore the distinctive contribution of GeoMx DSP technology in elucidating the molecular intricacies of HCC resistance to the Sorafenib and TACE combination.

METHODS

Patients with advanced HCC during the waiting period before liver transplantation were classified into sensitive and resistant groups based on their response to Sorafenib and TACE combination therapy. Employing GeoMx DSP technology for comprehensive gene expression profiling, we identified pivotal molecular targets linked to resistance against combination therapy.

RESULTS

The investigation scrutinized intra-tumoral and inter-individual variances, unveiling a spectrum of crucial molecular targets, such as PLG, PLVAP, immunoglobulin genes, ORM1, and NR4A1, among others. Additionally, we explored signaling pathways associated with treatment responsiveness, including the PPAR signaling pathway. Notably, we emphasized the significance of the immune microenvironment characterized by heightened SPP1 expression in HCC resistance to combination therapy. In the resistant group, SPP1+ tumor-associated macrophage (TAM) infiltration was notably pronounced (p = 0.037), while T-cell depletion showed a mitigated presence (p = 0.013).

CONCLUSION

The study reveals intra- and inter-individual heterogeneity in HCC that is differentially responsive to the combination of Sorafenib and TACE, highlighting multiple key molecular targets associated with treatment resistance. The immune microenvironment is important, and in particular, SPP1+ TAM infiltration may play a key role. Meanwhile, the introduction of immunotherapy in patients resistant to combination therapy may lead to positive results.

Organoid as a promising tool for primary liver cancer research: a comprehensive review

Primary liver cancer (PLC) is one of the most common malignant gastrointestinal tumors worldwide. Limited by the shortage of liver transplantation donors and the heterogeneity of tumors, patients with liver cancer lack effective treatment options, which leads to rapid progression and metastasis. Currently, preclinical models of PLC fall short of clinical reality and are limited in their response to disease progression and the effectiveness of drug therapy. Organoids are in vitro three-dimensional cultured preclinical models with a high degree of heterogeneity that preserve the histomorphological and genomic features of primary tumors. Liver cancer organoids have been widely used for drug screening, new target discovery, and precision medicine; thus representing a promising tool to study PLC. Here, we summarize the progress of research on liver cancer organoids and their potential application as disease models. This review provides a comprehensive introduction to this emerging technology and offers new ideas for researchers to explore in the field of precision medicine.

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.

IL-22 in Atopic Dermatitis

Atopic dermatitis (AD) is a prevalent and chronic inflammatory skin condition characterized by a multifaceted pathophysiology that gives rise to diverse clinical manifestations. The management of AD remains challenging due to the suboptimal efficacy of existing treatment options. Nonetheless, recent progress in elucidating the underlying mechanisms of the disease has facilitated the identification of new potential therapeutic targets and promising drug candidates. In this review, we summarize the newest data, considering multiple connections between IL-22 and AD. The presence of circulating IL-22 has been found to correlate with the severity of AD and is identified as a critical factor driving the inflammatory response associated with the condition. Elevated levels of IL-22 in patients with AD are correlated with increased proliferation of keratinocytes, alterations in the skin microbiota, and impaired epidermal barrier function. Collectively, these factors contribute to the manifestation of the characteristic symptoms observed in AD.

Changes in the epidemiological trends of primary liver cancer in the Asia-Pacific region

Primary liver cancer is the third leading cause of cancer-related mortality. The increasing prevalence of metabolic syndrome and alcohol consumption, along with the existing burden of viral hepatitis, could significantly heighten the impact of primary liver cancer. However, the specific effects of these factors in the Asia-Pacific region, which comprises more than half of the global population, remain largely unexplored. This study aims to analyze the epidemiology of primary liver cancer in the Asia-Pacific region. We evaluated regional and national data from the Global Burden of Disease study spanning 2010 to 2019 to assess the age-standardized incidence, mortality, and disability-adjusted life years associated with primary liver cancer in the Asia-Pacific region. During the study period, there were an estimated 364,700 new cases of primary liver cancer and 324,100 deaths, accounting for 68 and 67% of the global totals, respectively. Upward trends were observed in the age-standardized incidence rates of primary liver cancer due to metabolic dysfunction-associated fatty liver disease (MASLD) and alcohol-associated liver disease (ALD) in the Asia-Pacific region, as well as an increase in primary liver cancer from Hepatitis B virus infection in the Western Pacific region. Notably, approximately 17% of new cases occurred in individuals aged 15-49 years. Despite an overall decline in the burden of primary liver cancer in the Asia-Pacific region over the past decade, increases in incidence were noted for several etiologies, including MASLD and ALD. However, viral hepatitis remains the leading cause, responsible for over 60% of the total burden. These findings underscore the urgent need for comprehensive strategies to address the rising burden of primary liver cancer in the Asia-Pacific region.

Epidemiology, Treatment Patterns and Survival in Canadian Patients With Chronic Hepatitis B-Related Hepatocellular Carcinoma

Chronic hepatitis B (CHB) is the leading cause of hepatocellular carcinoma (HCC) globally. We described and evaluated the outcomes of patients with CHB-HCC in Canada. In this retrospective cross-sectional cohort study, data were analysed from CHB mono-infected subjects seen between 1 January 2012 and 31 December 2022, and entered the Canadian Hepatitis B Network Registry. Descriptive analysis and chi-squared modelling were used to compare cohorts, followed by multivariable survival analysis regarding survival post-diagnosis. Statistical analyses were completed in R version 2.2. Of the 6711 patients with CHB who met inclusion criteria, 232 (3.5%) developed HCC. Compared with the CHB cohort, the majority of CHB-HCC cohort were male, SEA and HBeAg negative and born in endemic area (80% vs. 56%, 73% vs. 55%, 84% vs. 54%, 64% vs. 40% and all p < 0001). Overall, median HBV DNA level was log 2.54 (IQR: 0-4.04). Advanced liver disease, defined as minimum Fibrosis stage F3, was seen in 9.4% of overall cohort, but 92% of HCC cohort. At diagnosis, median tumour size was 2.5 cm (IQR: 1.7-4.0) and mean tumour number was 1.33 (SD: 1.33), with 81% of patients BCLC 0-A. Fifty-three per cent of patients were diagnosed with HCC as part of surveillance protocols. The survival rate after HCC diagnosis was 78.7%, during the median follow-up of 52.9 months (IQR: 17-90). In multivariable analysis, survival was significantly correlated with diagnosis through the screening programme. In this large cohort of patients with CHB-HCC, the majority of patients were detected with early-stage HCC and received treatment with curative intent, resulting in strong survival rates.

Development of machine learning-based personalized predictive models for risk evaluation of hepatocellular carcinoma in hepatitis B virus-related cirrhosis patients with low levels of serum alpha-fetoprotein

INTRODUCTION AND OBJECTIVES

The increasing incidence of hepatocellular carcinoma (HCC) in China is an urgent issue, necessitating early diagnosis and treatment. This study aimed to develop personalized predictive models by combining machine learning (ML) technology with a demographic, medical history, and noninvasive biomarker data. These models can enhance the decision-making capabilities of physicians for HCC in hepatitis B virus (HBV)-related cirrhosis patients with low serum alpha-fetoprotein (AFP) levels.

PATIENTS AND METHODS

A total of 6,980 patients treated between January 2012 and December 2018 were included. Pre-treatment laboratory tests and clinical data were obtained. The significant risk factors for HCC were identified, and the relative risk of each variable affecting its diagnosis was calculated using ML and univariate regression analysis. The data set was then randomly partitioned into validation (20%) and training sets (80%) to develop the ML models.

RESULTS

Twelve independent risk factors for HCC were identified using Gaussian naïve Bayes, extreme gradient boosting (XGBoost), random forest, and least absolute shrinkage and selection operation regression models. Multivariate analysis revealed that male sex, age >60 years, alkaline phosphate >150 U/L, AFP >25 ng/mL, carcinoembryonic antigen >5 ng/mL, and fibrinogen >4 g/L were the risk factors, whereas hypertension, calcium <2.25 mmol/L, potassium ≤3.5 mmol/L, direct bilirubin >6.8 μmol/L, hemoglobin <110 g/L, and glutamic-pyruvic transaminase >40 U/L were the protective factors in HCC patients. Based on these factors, a nomogram was constructed, showing an area under the curve (AUC) of 0.746 (sensitivity=0.710, specificity=0.646), which was significantly higher than AFP AUC of 0.658 (sensitivity=0.462, specificity=0.766). Compared with several ML algorithms, the XGBoost model had an AUC of 0.832 (sensitivity=0.745, specificity=0.766) and an independent validation AUC of 0.829 (sensitivity=0.766, specificity=0.737), making it the top-performing model in both sets. The external validation results have proven the accuracy of the XGBoost model.

CONCLUSIONS

The proposed XGBoost demonstrated a promising ability for individualized prediction of HCC in HBV-related cirrhosis patients with low-level AFP.

Hepatocellular carcinoma and lipid metabolism: Novel targets and therapeutic strategies

Hepatocellular carcinoma (HCC) is an increasingly prevalent disease that is associated with high and continually rising mortality rates. Lipid metabolism holds a crucial role in the pathogenesis of HCC, in which abnormalities pertaining to the delicate balance of lipid synthesis, breakdown, and storage, predispose for the pathogenesis of the nonalcoholic fatty liver disease (NAFLD), a disease precursor to HCC. If caught early enough, HCC treatment may be curative. In later stages, treatment is only halting the inevitable outcome of death, boldly prompting for novel drug discovery to provide a fighting chance for this patient population. In this review, we begin by providing a summary of current local and systemic treatments against HCC. From such we discuss hepatic lipid metabolism and highlight novel targets that are ripe for anti-cancer drug discovery. Lastly, we provide a targeted summary of current known risk factors for HCC pathogenesis, providing key insights that will be essential for rationalizing future development of anti-HCC therapeutics.

The interaction between m6A modification and noncoding RNA in tumor microenvironment on cancer progression

Cancer development is thought to be closely related to aberrant epigenetic regulation, aberrant expression of specific non-coding RNAs (ncRNAs), and tumor microenvironment (TME). The m6A methylation is one of the most abundant RNA modifications found in eukaryotes, and it can determine the fate of RNA at the post-transcriptional level through a variety of mechanisms, which affects important biological processes in the organism. The m6A methylation modification is involved in RNA processing, regulation of RNA nuclear export or localisation, RNA degradation and RNA translation. This process affects the function of mRNAs and ncRNAs, thereby influencing the biological processes of cancer cells. TME accelerates and promotes cancer generation and progression during tumor development. The m6A methylation interacting with ncRNAs is closely linked to TME formation. Mutual regulation and interactions between m6A methylation and ncRNAs in TME create complex networks and mediate the progression of various cancers. In this review, we will focus on the interactions between m6A modifications and ncRNAs in TME, summarising the molecular mechanisms by which m6A interacts with ncRNAs to affect TME and their roles in the development of different cancers. This work will help to deepen our understanding of tumourigenesis and further explore new targets for cancer therapy.

Association between obesity and liver cancer from 2012 to 2023: Bibliometric analysis and global trends

Incidence rates of liver cancer have increased worldwide in recent decades, making it a major public health problem globally. Obesity can be caused by multiple factors and promotes the development of liver cancer in many ways. Although the research on the association between obesity and liver cancer was previously explored, we first employed bibliometrics to analyze the current research status. From 2012 to 2023, the Web of Science Core Collection database was searched for studies regarding the association between obesity and liver cancer. To evaluate worldwide trends and research hotspots in this topic, bibliometric analysis tools such as VOSviewer, CiteSpace, and R Package were employed. Altogether 233 eligible publications, consisting of 167 articles and 66 reviews, were analyzed. The yearly number of publications and average citation numbers have increased over the last 11 years, particularly the last 6 years. The great majority of published articles on this topic originated from the United States (n = 89, 38.20%), followed by China (n = 60, 25.75%), and England (n = 23, 9.87%). In this subject's research, American scholars embodied considerable production, great prominence, and high academic influence. The most cited article was Yoshimoto, S et al of Japan Science and Technology Agency published in 2013 with a citation number of 1410. We apply bibliometric analysis for the first time in this field, expecting to help scholars efficiently and effectively retrieve the association between obesity and liver cancer.

Alcohol does not impact chronic hepatitis C treatment outcomes but increases risk for progressive liver disease: Findings from a prospective multicentre Australian study (OPERA-C)

INTRODUCTION

Alcohol use is common in patients with chronic hepatitis C virus (HCV) infection. We examined the impact of alcohol use on direct-acting antiviral (DAA) therapy outcome and the clinical course of liver disease and 2-year survival for patients receiving HCV DAA therapy.

METHODS

Adults (n = 2624) recruited from 26 Australian hospital liver clinics during 2016-2021 were followed up for 2 years. Risky alcohol use was defined by a combination of self-report (≥40 g/day of ethanol), physician-reported history of problematic alcohol use, and anti-craving medication prescription via population-based database linkage. We examined factors associated with advanced liver fibrosis and survival using multivariable logistic and Cox regression.

RESULTS

Among 1634 patients (62.3%) with risky alcohol use, 24.6% reported consuming ≥40 g/day of alcohol, 98.3% physician-reported problematic alcohol use; only 4.1% were dispensed naltrexone/acamprosate. One hundred and forty-three patients with cirrhosis reported ≥40 g/day of alcohol, 6 (4.3%) were prescribed naltrexone/acamprosate. Risky alcohol use was associated with advanced fibrosis (adjusted-odds ratio 1.69, 95% confidence interval 1.32-2.17) and patients were over-represented for cirrhosis (45.1% vs. 25.6% in no-risky alcohol use [p < 0.001]) and hepatocellular carcinoma (5.7% vs. 2.5% [p < 0.001]). Sustained viral response (p = 0.319) and 2-year survival (adjusted-hazard ratio 1.98, 95% confidence interval 0.84-4.63) after DAA therapy were not associated with risky alcohol use.

DISCUSSION AND CONCLUSIONS

Risky alcohol use in HCV patients was prevalent, but did not reduce HCV cure. Treatment for alcohol dependence was low. Risky alcohol use may be under-recognised in liver clinics. Better integration of addiction medicine into liver services and increased resourcing and addiction medicine training opportunities for hepatologists may help address this.

Testosterone, β-estradiol, and hepatocellular carcinoma: stimulation or inhibition? A comparative effect analysis on cell cycle, apoptosis, and Wnt signaling of HepG2 cells

Unlike breast and prostate cancers, which are specifically affected by estrogens or androgens, hepatocellular carcinoma has been reported to be influenced by both sex hormones. Given the coincidental differences of hepatocellular carcinoma in men and women, we investigated the effects of β-estradiol and testosterone on the cell cycle, apoptosis, and Wnt signaling in a model of hepatocellular carcinoma to understand the sex hormone-related etiology. To determine the effective concentration of both hormones, an MTT assay was performed. The effects of β-estradiol and testosterone on cell proliferation and death were evaluated by specific staining and flow cytometry. In addition, gene expression levels of estimated factors involved in GPC3-Wnt survival signaling were analyzed using quantitative real-time polymerase chain reaction. Both hormones inhibited hepatic cell proliferation through arresting the cell cycle at S/G2 and increased the apoptosis rate in HepG2 cells. Both hormones dose-dependently decreased GPC3, Wnt, and DVL expression levels as activators of the Wnt-signaling pathway. In the case of Wnt-signaling inhibitors, the effects of both hormones on WIF were negligible, but they increased DKK1 levels in a dose-dependent manner. In each of the effects mentioned above, β-estradiol was notably more potent than testosterone. In contrast to the primary hypothesis of the project, in which testosterone was considered a stimulating carcinogenic factor in HCC pathogenesis, testosterone inhibited the occurrence of HCC similarly to β-estradiol. However, this inhibitory effect was weaker than that of β-estradiol and requires further study.

High plasma interleukin-6 level, but not IL-6 gene variants, as a predictive marker for the development of hepatocellular carcinoma in a Moroccan population

Chronic inflammation triggered by hepatitis B (HBV) and hepatitis C (HCV) viruses elevates interleukin 6 (IL-6) levels, activating pathways that cause liver damage and contribute to hepatocellular carcinoma (HCC) development. In this study, we assessed IL-6 levels and explored the correlation between the rs1800795 and rs1800797 variants of the IL-6 gene and the risk of developing HCC. We conducted a case-control study involving 314 participants. Among them, 157 were HCC patients (94 anti-HCV, 22 HBsAg and 41 metabolic dysfunction-associated steatotic liver disease [MASLD]) and 157 controls. Genotyping for IL-6 rs1800795 and rs1800797 polymorphisms was performed using real-time polymerase chain reaction (PCR). Additionally, plasma IL-6 levels were determined using enzyme-linked immunosorbent assay. The IL-6 levels were notably higher in patients compared to controls (p < .0001). Among HCC patients, those with MASLD exhibited higher plasma IL-6 levels than those with HCV and HBV (p = .003). In male HCC patients, IL-6 levels were significantly elevated compared to controls (p < .0001). Similarly, female patients showed significantly higher IL-6 levels compared to female controls, though still lower than in male HCC patients (p = .023). However, no significant difference was observed in IL-6 levels between male and female HCC patients (p = .129). Contrastingly, the genotype and allele distributions of the rs1800795 and rs1800797 polymorphisms in the IL-6 gene displayed no association with HCC development (all p > .05). In Moroccan HCC patients, chronic liver inflammation is characterized by elevated levels of IL-6, potentially playing a role in the progression of liver disease and tumourigenesis.

Potential role of Vitamin D in immune response in patients with viral hepatitis

BACKGROUND

To study the relationship of Vitamin D with innate and adaptive immune response parameters in chronic hepatitis B and C patients.

METHODS

The laboratory data between January 1, 2013 and February 1, 2023, for patients with chronic hepatitis B (CHB), and chronic hepatitis C (CHC) were extracted. Serum 25-hydroxyl vitamin D, hepatitis B virus serological markers, complements, and subsets of T lymphocytes were determined. Study cohorts were divided into groups based on serum 25-hydroxyl vitamin D levels with further evaluation of laboratory data.

RESULTS

In CHB and CHC patients the percentage of CD4+ T lymphocytes and the CD4+/CD8+ ratio significantly decreased (P < 0.05), but the percentage of CD8+ increased (P < 0.05) compared to the control group. In CHB patients Vitamin D decrease was significant (P < 0.001) but not in CHC patients. Vitamin D showed a moderate negative influence on the CD8 cell count in CHB patients. The positive ratio of HBV DNA and HBsAg decreased with increasing serum vitamin D levels. The vitamin D deficient group showed significantly lower antibody production compared to the normal group, and exhibited significantly decreased CD4 numbers and increased CD8 numbers (P < 0.05 and P < 0.001, respectively), while the CD4/CD8 ratio was also significantly decreased in the insufficiency group (P < 0.001). Complement C3 levels were not associated with CD4 and CD8, but had an inverse relation with Vitamin D. Vitamin D levels were significantly associated with complement C3, CD8+, CD4+, CD19+ cells, and HBV DNA levels.

CONCLUSIONS

Vitamin D may be a modulator of immune function not only via CD8+ and CD4+ cells but also via CD19+ cells in the course of chronic HBV infection. The negative relationship between vitamin D and complement C3 needs elucidation. Moreover, the increased proportion of B cells and decreased CD4+ cells in Vitamin D deficiency disrupt the immune response against HBV since the expected antibody response was not obtained despite the increase in B cell ratio. This indicates an influence of CD4+ cells for B cell functionality. In summary, sufficient levels of Vitamin D may lead to a sustained virological response that is debatable by artificially correcting the deficiency.

Body-Mounted MR-Conditional Robot for Minimally Invasive Liver Intervention

MR-guided microwave ablation (MWA) has proven effective in treating hepatocellular carcinoma (HCC) with small-sized tumors, but the state-of-the-art technique suffers from sub-optimal workflow due to the limited accuracy provided by the manual needle insertions. This paper presents a compact body-mounted MR-conditional robot that can operate in closed-bore MR scanners for accurate needle guidance. The robotic platform consists of two stacked Cartesian XY stages, each with two degrees of freedom, that facilitate needle insertion pose control. The robot is actuated using 3D-printed pneumatic turbines with MR-conditional bevel gear transmission systems. Pneumatic valves and control mechatronics are located inside the MRI control room and are connected to the robot with pneumatic transmission lines and optical fibers. Free-space experiments indicated robot-assisted needle insertion error of 2.6 ± 1.3 mm at an insertion depth of 80 mm. The MR-guided phantom studies were conducted to verify the MR-conditionality and targeting performance of the robot. Future work will focus on the system optimization and validations in animal trials.

EASL position paper on clinical follow-up after HCV cure

Following the advent of direct-acting antivirals (DAAs), hepatitis C virus (HCV) infection can be cured in almost all infected patients. This has led to a number of clinical questions regarding the optimal management of the millions of patients cured of HCV. This position statement provides specific guidance on the appropriate follow-up after a sustained virological response in patients without advanced fibrosis, those with compensated advanced chronic liver disease, and those with decompensated cirrhosis. Guidance on hepatocellular carcinoma risk assessment and the management of extrahepatic manifestations of HCV is also provided. Finally, guidance is provided on the monitoring and treatment of reinfection in at-risk patients. The recommendations are based on the best available evidence and are intended to help healthcare professionals involved in the management of patients after treatment for HCV.

Zanthoxylum zanthoxyloides (Lam.) B. Zepernick & Timler alkaloidal extract exerts hepatoprotective effects in rats with a CCl4/olive oil-induced hepatocellular carcinoma-like phenotype

Objective

This study assessed the prophylactic anti-HCC effects of a combined stem and root alkaloidal extract of Zanthoxylum zanthoxyloides (Z. zanthoxyloides) (SRAEZZ) in rats with a CCl4/olive oil-induced HCC-like phenotype.

Methods

SRAEZZ was prepared from dried stems and roots of Z. zanthoxyloides in a 1:1 proportion and chemically characterized. A total of 30 healthy male Wistar rats (weighing 210-280 g) were randomly assigned to six groups (control, model, capecitabine, and SRAEZZ [50, 100, or 200 mg/kg]). All groups except the control received CCl4/olive oil (3 mL/kg, po) in the morning, whereas in the afternoon of the same dosing day, the model group received normal saline (5 mL/kg, po), the capecitabine group received capecitabine (50 mg/kg, po), and the SRAEZZ groups received SRAEZZ (50, 100, or 200 mg/kg, po, respectively) once per week for 36 days. Survival rate, serum α-fetoprotein (AFP), and C-reactive protein (CRP) were monitored. Gross liver anatomy, liver histology, liver enzymes (ALP, AST, and ALT), bilirubin, creatinine, urea, albumin, globulins, and hematological parameters were assessed.

Results

SRAEZZ yield was 0.58% from the initial stem and root sample (520 g). Quaternary phenanthridin alkaloids were detected in SRAEZZ. Control rats had a 100% survival rate compared with rats in the model group. SRAEZZ treatment improved the survival rate with respect to that in the model group. Serum AFP, CRP, and bilirubin levels were greater in the model group than the control group. SRAEZZ decreased serum AFP, CRP, and bilirubin below the levels observed in the model group. ALP, AST, and AST were higher in the model group, but lower in SRAEZZ-treated group, than the control group.

Conclusion

SRAEZZ demonstrated prophylactic anti-HCC effects against CCl4/olive oil-induced HCC-like phenotypes in rats. These findings highlight the potential of crude alkaloids from Z. zanthoxyloides as natural templates for semi-synthesis of anti-HCC pharmacotherapeutics.

Preclinical human and murine models of hepatocellular carcinoma (HCC)

Hepatocellular carcinoma (HCC) is the most frequent liver cancer, which account for more than 90 % of all liver cancer cases. It is the fifth leading cause of cancer globally and the second leading cause of cancer-related mortality in men. The availability of competent HCC preclinical models is fundamental to the success of mechanistic studies, molecular target identification, and drug testing. However, there are challenges associated with the use of these models. In this review, we provided updates on various cell lines, animals, and human HCC models, their specific preclinic use and associated potential challenges. Overall, the understanding of the merits and demerits of a particular HCC model will improve model selection for various preclinical studies.

Synergistic upregulation of PD‑L1 in tumor cells and CD39 in tumor‑infiltrating CD8+ T cells leads to poor prognosis in patients with hepatocellular carcinoma

The immune escape of tumor cells and functional status of tumor-infiltrating T cells may serve pivotal roles in the tumor immune microenvironment and progression of hepatocellular carcinoma (HCC). The present study enrolled 91 patients with HCC and examined programmed cell death ligand 1 (PD-L1) expression in tumor cells and CD39 expression in tumor-infiltrating CD8+ T cells in patient samples using multiplex immunofluorescence assays. The impact of PD-L1 and CD39 expression levels on the prognosis of patients with HCC was investigated utilizing Kaplan-Meier analyses. The individual upregulation of PD-L1 in tumor cells, as well as the individual upregulation of CD39 expression in tumor-infiltrating CD8+ T cells did not significantly affect the prognosis of patients with HCC. However, the simultaneous upregulation of both PD-L1 in tumor cells and CD39 in tumor-infiltrating CD8+ T cells was associated with reduced overall survival in patients with HCC. Therefore, the results of the present study suggested that the interplay between tumor cell immune escape and tumor-infiltrating immune cell functional status within the tumor immune microenvironment may have had a substantial impact on the prognosis of patients with HCC. Mechanistically, increased expression levels of PD-L1 in tumor cells may improve the immune escape capacity of tumors, whilst upregulation of CD39 in tumor-infiltrating T cells may be associated with T cell exhaustion. Therefore, the upregulation of PD-L1 expression in tumor cells, in conjunction with the exhaustion of tumor-infiltrating CD8+ T cells, could serve as a future potential prognostic indicator of patients with HCC.

Heterogeneity of hepatocellular carcinoma: from mechanisms to clinical implications

Hepatocellular Carcinoma (HCC) is one of the most common types of primary liver cancer. Current treatment options have limited efficacy against this malignancy, primarily owing to difficulties in early detection and the inherent resistance to existing drugs. Tumor heterogeneity is a pivotal factor contributing significantly to treatment resistance and recurrent manifestations of HCC. Intratumoral heterogeneity is an important aspect of the spectrum of complex tumor heterogeneity and contributes to late diagnosis and treatment failure. Therefore, it is crucial to thoroughly understand the molecular mechanisms of how tumor heterogeneity develops. This review aims to summarize the possible molecular dimensions of tumor heterogeneity with an emphasis on intratumoral heterogeneity, evaluate its profound impact on the diagnosis and therapeutic strategies for HCC, and explore the suitability of appropriate pre-clinical models that can be used to best study tumor heterogeneity; thus, opening new avenues for cancer treatment.

Impact of Neoadjuvant Immunotherapy on Recurrence-Free Survival in Patients with High-Risk Localized HCC

Surgical resection for localized hepatocellular carcinoma (HCC) is typically reserved for a minority of patients with favorable tumor features and anatomy. Neoadjuvant immunotherapy can expand the number of patients who are candidates for surgical resection and potentially reduce the chance for recurrence, but its role in HCC not defined. We retrospectively examined the outcomes of patients who underwent surgical resection for HCC at the Johns Hopkins Hospital and compared the clinical outcomes of patients who received neoadjuvant immunotherapy with those who underwent upfront resection. The clinical cohort included a total of 92 patients, 36 of whom received neoadjuvant immune checkpoint inhibitor (ICI)-based treatment. A majority of patients (61.1%) who received neoadjuvant ICI-based therapy were outside of standard resectability criteria and were more likely to have features known to confer risk of disease recurrence, including α-fetoprotein ≥ 400 ng/mL (P = 0.02), tumor diameter ≥ 5 cm (P = 0.001), portal vein invasion (P < 0.001), and multifocality (P < 0.001). Patients who received neoadjuvant immunotherapy had similar rates of margin-negative resection (P = 0.47) and recurrence-free survival (RFS) as those who underwent upfront surgical resection (median RFS 44.8 months compared with 49.3 months, respectively, log-rank P = 0.66). There was a nonsignificant trend toward superior RFS in the subset of patients with a pathologic response (tumor necrosis ≥ 70%) with neoadjuvant immunotherapy. Neoadjuvant ICI-based therapy may allow high-risk patients, including those who are outside traditional resectability criteria, to achieve comparable clinical outcomes with those who undergo upfront resection.

SIGNIFICANCE

Surgical resection for localized HCC is typically only reserved for those with solitary tumors without vascular invasion. In this retrospective analysis, we show that neoadjuvant immunotherapy may allow high-risk patients, including those who are outside of standard resection criteria, to undergo successful margin-negative resection and achieve comparable long-term clinical outcomes compared with upfront resection. These findings highlight need for prospective studies on neoadjuvant immunotherapy in HCC.

RNA-binding protein QKI promotes the progression of HCC by interacting with long non-coding RNA EGOT

BACKGROUND

RNA-binding proteins are revealed to play important roles during the progression of hepatocellular carcinoma (HCC). However, the regulatory mechanisms of RNA-binding protein Quaking (QKI) in the expression and role of long non-coding RNAs (lncRNAs) in HCC cells remain not well understood.

METHODS

Cell Counting Kit-8, wound-healing, Transwell and colony-forming assays were performed to evaluate the effects of QKI and lncRNA EGOT on proliferation and migration of HCC cells. Tumor growth of HCC was analyzed using a mouse xenograft model. Immunoprecipitation (RIP) assay was used to investigate the interaction between QKI and EGOT.

RESULTS

The expression of QKI was significantly upregulated in HCC tissues and the higher QKI level was significantly associated with a poorer prognosis. Overexpression of QKI promoted the proliferation, migration, and colony-forming ability of HCC cells in vitro and tumor growth of HCC in vivo. Mechanistically, QKI protein could bind to EGOT RNA and increase its expression. Inhibition of EGOT attenuated the effects of QKI on the malignant phenotypes of HCC cells. In addition, both QKI and EGOT could activate the SAPK/JNK signaling pathway in HCC cells.

CONCLUSIONS

Our findings indicated that QKI exerted promotive effects on the malignant phenotypes of HCC through its interaction with EGOT.

Use of cholesterol-lowering medications in relation to risk of primary liver cancer in the Clinical Practice Research Datalink

BACKGROUND

Although the relation between statin use and liver cancer risk has been extensively examined, few studies have examined other cholesterol-lowering medications in relation to liver cancer risk. The authors examined five classes of nonstatin medications and liver cancer risk.

METHODS

A nested case-control including 3719 cases and 14,876 matched controls was conducted within the Clinical Practice Research Datalink. Additional matches on type 2 diabetes and chronic liver disease were also implemented. The medications examined included cholesterol absorption inhibitors, bile acid sequestrants, fibrates, niacin, and omega-3 fatty acids. Conditional logistic regression estimated odds ratios and 95% confidence intervals.

RESULTS

Cholesterol absorption inhibitor use was associated with reduced liver cancer risk in the overall analysis (odds ratio, 0.69; 95% confidence interval, 0.50-0.96) and in analyses based on type 2 diabetes and chronic liver disease status. Although bile acid sequestrant use was associated with increased liver cancer risk in the overall analysis (odds ratio, 5.31; 95% confidence interval, 3.534-7.97), the results of the analyses based on type 2 diabetes and chronic liver disease status were inconsistent. No associations were observed for the other medications.

CONCLUSIONS

Cholesterol absorption inhibitors may be associated with reduced liver cancer risk. Whether bile acid sequestrant use was associated with increased risk was only partially supported in the current study.

A comprehensive review on lncRNA LOXL1-AS1: molecular mechanistic pathways of lncRNA LOXL1-AS1 in tumorigenicity of cancer cells

Long non-coding RNAs (lncRNAs) are versatile RNAs that regulate various cellular processes, such as gene regulation, by acting as signals, decoys, guides, and scaffolds. A novel recognized lncRNA, LOXL1-antisense RNA 1 (LOXL1-AS1), is dysregulated in some diseases, including cancer, and acts as an oncogenic lncRNA in many types of cancer cells. Upregulation of LOXL1-AS1 has been involved in proliferation, migration, metastasis, and EMT, as well as inhibiting apoptosis in cancer cells. Most importantly, the malignant promoting activity of LOXL1-AS1 can be mostly mediated by sequestering specific miRNAs and inhibiting their binding to the 3´UTR of their target mRNAs, thereby indirectly regulating gene expression. Additionally, LOXL1-AS1 can decoy transcription factors and proteins and prevent their binding to their regulatory regions, inhibiting their mechanistic activity on the regulation of gene expression and signaling pathways. This review presents the mechanistic pathways of the oncogenic role of LOXL1-AS1 by modulating its target miRNAs and proteins in various cancer cells. Having information about the molecular mechanisms regulated by LOXL1-AS1 in cancer cells can open ways to find out particular prognostic biomarkers, as well as discover novel therapeutic approaches for different types of cancer.

Optimizing the resveratrol fragments for novel in silico hepatocellular carcinoma de novo drug design

Hepatocellular carcinoma (HCC) incidence varies widely around the world and is impacted by factors such as the prevalence of chronic hepatitis B and C infections, alcohol intake, and access to healthcare. The proteins (BRAF_human, VGFR3_human, EGFR_human and UFO_human) play a vital role in hepatocellular carcinoma prognosis, which involves cell proliferation, cell growth, transmission of extracellular signals to the cell nucleus and consequently regulating many other cellular processes. Fostamatinib has been studied for its possible use in the treatment of hepatocellular cancer because it is a more convenient therapy choice for patients and has minor side effects on the human body. However, resveratrol phytochemical has been investigated for its potential use in the prevention and treatment of a wide range of disorders, including cancer, cardiovascular disease, diabetes, and neurological problems due to its frequently antioxidant, anti-inflammatory, and immune-modulating characteristics, which can aid in the prevention of chronic illnesses. This study developed de novo-based fragment-optimized resveratrol (FOR), enhancing therapeutic potential and lowering toxicity. The docking study was performed with four target proteins, and the findings reveal that the vascular endothelial growth factor receptor 3 protein possessed the highest binding energy values of -7.6 kcal/mol with FOR. Additionally, it completely fulfills the criteria of drug-likeliness rules. Thus, FOR proves to be an efficient drug candidate for future in-vivo studies against hepatocellular carcinoma.

Deep learning model based on contrast-enhanced ultrasound for predicting vessels encapsulating tumor clusters in hepatocellular carcinoma

OBJECTIVES

To establish and validate a non-invasive deep learning (DL) model based on contrast-enhanced ultrasound (CEUS) to predict vessels encapsulating tumor clusters (VETC) patterns in hepatocellular carcinoma (HCC).

MATERIALS AND METHODS

This retrospective study included consecutive HCC patients with preoperative CEUS images and available tissue specimens. Patients were randomly allocated into the training and test cohorts. CEUS images were analyzed using the ResNet-18 convolutional neural network for the development and validation of the VETC predictive model. The predictive value for postoperative early recurrence (ER) of the proposed model was further evaluated.

RESULTS

A total of 242 patients were enrolled finally, including 195 in the training cohort (54.6 ± 11.2 years, 178 males) and 47 in the test cohort (55.1 ± 10.6 years, 40 males). The DL model (DL signature) achieved favorable performance in both the training cohort (area under the receiver operating characteristics curve [AUC]: 0.92, 95% confidence interval [CI]: 0.88-0.96) and test cohort (AUC: 0.90, 95% CI: 0.82-0.99). The stratified analysis demonstrated good discrimination of DL signature regardless of tumor size. Moreover, the DL signature was found independently correlated with postoperative ER (hazard ratio [HR]: 1.99, 95% CI: 1.29-3.06, p = 0.002). C-indexes of 0.70 and 0.73 were achieved when the DL signature was used to predict ER independently and combined with clinical features.

CONCLUSION

The proposed DL signature provides a non-invasive and practical method for VETC-HCC prediction, and contributes to the identification of patients with high risk of postoperative ER.

CLINICAL RELEVANCE STATEMENT

This DL model based on contrast-enhanced US displayed an important role in non-invasive diagnosis and prognostication for patients with VETC-HCC, which was helpful in individualized management.

KEY POINTS

Preoperative biopsy to determine VETC status in HCC patients is limited. The contrast-enhanced DL model provides a non-invasive tool for the prediction of VETC-HCC. The proposed deep-learning signature assisted in identifying patients with a high risk of postoperative ER.

Identification and characterization of TM4SF1+ tumor self-seeded cells

Tumor self-seeding is a process whereby circulating tumor cells (CTCs) recolonize the primary tumor, which promotes tumor growth, angiogenesis, and invasion. However, the detailed nature and functions of tumor self-seeded cells (TSCs) have not been well defined due to challenges in tracking and isolating TSCs. Here, we report an accurate animal model using photoconvertible tagging to recapitulate the spontaneous process of tumor self-seeding and identify TSCs as a subpopulation of primary tumor cells with enhanced invasiveness and survival. We demonstrate transmembrane-4-L-six-family-1 (TM4SF1) as a marker of TSCs, which promotes migration, invasion, and anchorage-independent survival in cancer cells. By analyzing single-cell RNA sequencing datasets, we identify a potential TSC population with a metastatic profile in patients with cancer, which is detectable in early-stage disease and expands during cancer progression. In summary, we establish a framework to study TSCs and identify emerging cell targets with diagnostic, prognostic, or therapeutic potential in cancers.

Insights into the Correlation between Toll-Like Receptor 2 Polymorphism and HBV-Related Disease Progression and Occurrence of Hepatocellular Carcinoma: A Case-Control Study in Egyptian Patients

Methods

In total, 170 chronic HBV patients and 50 healthy controls of comparable age and gender were included in this case-control study. Clinical, laboratory, and imaging evaluations were conducted. ELISA was used to determine serum IL-6 levels, and TLR2 (rs3804099) genotyping allelic discrimination assay was performed using real-time PCR.

Results

IL-6 values were significantly higher in the HCC group, followed by the cirrhotic group, than those in chronic hepatitis and control groups (p < 0.001), with a significant correlation with disease activity and progression parameters. TRL2 homozygous TT was the most frequent in the control group, but the CC genotype was significantly more prevalent in the HCC group than that in the other groups. Furthermore, the CC genetic variant was associated with higher levels of IL-6 and viral load in all HBV patients, whereas the TT genotype was associated with larger tumor size. Multivariate regression analysis demonstrated that in chronic HBV patients, viral load and TRL2 polymorphism are independent risk factors associated with the progression from chronic hepatitis to liver cirrhosis and to HCC. Similarly, the HBV viral load (p=0.03, OR = 2.45, and 95% CI: 1.69-3.65), IL-6 levels (p=0.04, OR = 3.45, and 95% CI: 2.01-6.9), and TRL2 variants (p=0.01, OR = 4.25, and 95% CI: 2.14-13.5) are independent risk factors associated with disease progression from cirrhosis to HCC.

Conclusion

In chronic HBV patients, TRL2 polymorphism and higher IL-6 levels were positively correlated with a higher likelihood of HCC and chronic hepatitis B disease activity and progression.

Why Liver Cancer Hits Home: Bridging Healthcare Disparities in the Asian American and Pacific Islander Community

Asian Americans and Pacific Islanders have an increased risk of developing liver cancer and higher risk of death compared to non-Hispanic White individuals. The role of individual-level risk factors, social determinants of health, and barriers navigating health systems present unique challenges in obtaining liver cancer care for these patients. Additionally, the Asian American and Pacific Islander population is a heterogenous group originating from several different countries and speaking various languages, and they are often underrepresented in cancer clinical trial populations. This article describes the challenges faced by Asian American and Pacific Islander patients with liver cancer from the clinician, research, and patient advocacy perspectives and proposes targeted solutions to reduce healthcare disparities in this group.

Fatty Acid Synthase Promotes Hepatocellular Carcinoma Growth via S-Phase Kinase-Associated Protein 2/p27KIP1 Regulation

Background and Objectives: Aberrant upregulation of fatty acid synthase (FASN), catalyzing de novo synthesis of fatty acids, occurs in various tumor types, including human hepatocellular carcinoma (HCC). Although FASN oncogenic activity seems to reside in its pro-lipogenic function, cumulating evidence suggests that FASN's tumor-supporting role might also be metabolic-independent. Materials and Methods: In the present study, we show that FASN inactivation by specific small interfering RNA (siRNA) promoted the downregulation of the S-phase kinase associated-protein kinase 2 (SKP2) and the consequent induction of p27KIP1 in HCC cell lines. Results: Expression levels of FASN and SKP2 directly correlated in human HCC specimens and predicted a dismal outcome. In addition, forced overexpression of SKP2 rendered HCC cells resistant to the treatment with the FASN inhibitor C75. Furthermore, FASN deletion was paralleled by SKP2 downregulation and p27KIP1 induction in the AKT-driven HCC preclinical mouse model. Moreover, forced overexpression of an SKP2 dominant negative form or a p27KIP1 non-phosphorylatable (p27KIP1-T187A) construct completely abolished AKT-dependent hepatocarcinogenesis in vitro and in vivo. Conclusions: In conclusion, the present data indicate that SKP2 is a critical downstream effector of FASN and AKT-dependent hepatocarcinogenesis in liver cancer, envisaging the possibility of effectively targeting FASN-positive liver tumors with SKP2 inhibitors or p27KIP1 activators.

SerpinB3: A Multifaceted Player in Health and Disease-Review and Future Perspectives

SerpinB3, a member of the serine-protease inhibitor family, has emerged as a crucial player in various physiological and pathological processes. Initially identified as an oncogenic factor in squamous cell carcinomas, SerpinB3's intricate involvement extends from fibrosis progression and cancer to cell protection in acute oxidative stress conditions. This review explores the multifaceted roles of SerpinB3, focusing on its implications in fibrosis, metabolic syndrome, carcinogenesis and immune system impairment. Furthermore, its involvement in tissue protection from oxidative stress and wound healing underscores its potential as diagnostic and therapeutic tool. Recent studies have described the therapeutic potential of targeting SerpinB3 through its upstream regulators, offering novel strategies for cancer treatment development. Overall, this review underscores the importance of further research to fully elucidate the mechanisms of action of SerpinB3 and to exploit its therapeutic potential across various medical conditions.

Glypican-3 deficiency in liver cancer upregulates MAPK/ERK pathway but decreases cell proliferation

Glypican-3 (GPC3) is overexpressed in hepatocellular carcinomas and hepatoblastomas and represents an important therapeutic target but the biologic importance of GPC3 in liver cancer is unclear. To date, there are limited data characterizing the biological implications of GPC3 knockout (KO) in liver cancers that intrinsically express this target. Here, we report on the development and characterization of GPC3-KO liver cancer cell lines and compare to them to parental lines. GPC3-KO variants were established in HepG2 and Hep3B liver cancer cell lines using a lentivirus-mediated CRISPR/Cas9 system. We assessed the effects of GPC3 deficiency on oncogenic properties in vitro and in murine xenograft models. Downstream cellular signaling pathway changes induced by GPC3 deficiency were examined by RNAseq and western blot. To confirm the usefulness of the models for GPC3-targeted drug development, we evaluated the target engagement of a GPC3-selective antibody, GC33, conjugated to the positron-emitting zirconium-89 (89Zr) in subcutaneous murine xenografts of wild type (WT) and KO liver cancer cell lines. Deletion of GPC3 significantly reduced liver cancer cell proliferation, migration, and invasion compared to the parental cell lines. Additionally, the tumor growth of GPC3-KO liver cancer xenografts was significantly slower compared with control xenografts. RNA sequencing analysis also showed GPC3-KO resulted in a reduction in the expression of genes associated with cell cycle regulation, invasion, and migration. Specifically, we observed the downregulation of components in the AKT/NFκB/WNT signaling pathways and of molecules related to cell cycle regulation with GPC3-KO. In contrast, pMAPK/ERK1/2 was upregulated, suggesting an adaptive compensatory response. KO lines demonstrated increased sensitivity to ERK (GDC09994), while AKT (MK2206) inhibition was more effective in WT lines. Using antibody-based positron emission tomography (immunoPET) imaging, we confirmed that 89Zr-GC33 accumulated exclusively in GPC3-expression xenografts but not in GPC3-KO xenografts with high tumor uptake and tumor-to-liver signal ratio. We show that GPC3-KO liver cancer cell lines exhibit decreased tumorigenicity and altered signaling pathways, including upregulated pMAPK/ERK1/2, compared to parental lines. Furthermore, we successfully distinguished between GPC3+ and GPC3- tumors using the GPC3-targeted immunoPET imaging agent, demonstrating the potential utility of these cell lines in facilitating GPC3-selective drug development.

A contemporary view on vascular resections and reconstruction during hepatectomies

Oncological hepatic surgery carries the possibility to perform vascular reconstructions for advanced tumours with vessel invasion since surgery often represents the only potentially curative approach for these tumours. An extended review was conducted in an attempt to understand and clarify the latest trends in hepatectomies with vascular resections. We searched bibliographic databases including PubMed, Scopus, references from bibliographies and Cochrane Library. Information and outcomes from worldwide clinical trials were collected from qualified institutions performing hepatectomies with vascular resection and reconstruction. Careful patient selection and thorough preoperative imaging remain crucial for correct and safe surgical planning. A literature analysis shows that vascular resections carry different indications in different diseases. Despite significant advances made in imaging techniques and technical skills, reports of hepatectomies with vascular resections are still associated with high postoperative morbidity and mortality. The trend of complex liver resection with vascular resection is constantly on the increase, but more profound knowledge as well as further trials are required. Recent technological developments in multiple fields could surely provide novel approaches and enhance a new era of digital imaging and intelligent hepatic surgery.

Research trends and hotspots in exercise interventions for liver cirrhosis: A bibliometric analysis via CiteSpace

Cirrhosis is a chronic liver disease with severe consequences for a patient's health and survival. Exercise is an essential therapeutic strategy for both cirrhosis prevention and treatment. On the other hand, information regarding the present status of exercise-related research in cirrhosis is limited. Therefore, this study seeks to close the information gap in the scientific literature by using bibliometric techniques to analyze the trends, focal points, and cutting-edge research areas on exercise and cirrhosis. On September 22, 2023, research articles and reviews on exercise intervention for cirrhosis were obtained and downloaded from the Web of Science Core Collection (WoSCC). Subsequently, we employed CiteSpace (version 6.1.R6) to conduct bibliometric and knowledge graph analyses. 588 papers in 301 scholarly journals were written by 673 authors from 460 institutions spread over 63 countries and regions. The most productive nation among them is the United States. Not only is Zobair M. Younossi 1 of the most prolific writers, but he also receives the most co-citations. Most articles were published by the University of Michigan in the US, with the University of Alberta in Canada coming in second. Meanwhile, the WORLD JOURNAL OF GASTROENTEROLOGY has the most published articles, whereas HEPATOLOGY has the greatest number of co-citations. Apart from the theme words, the most frequently utilized keywords were "quality of life," "insulin resistance," and "mortality." Future research may concentrate on "obesity," "sarcopenia," and "Mediterranean diet," according to the analysis of keyword emergence. CiteSpace is used in this work to visually represent the topic of exercise intervention in cirrhosis, offering valuable information to researchers regarding the field's current status and possible future direction.

Targeted redox-responsive peptide for arterial chemoembolization therapy of orthotropic hepatocellular carcinoma

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Circ_0000069 promotes the development of hepatocellular carcinoma by regulating CCL25

BACKGROUND

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths globally, influenced by aberrant circRNA expression. Investigating circRNA-miRNA-mRNA interactions can unveil underlying mechanisms of HCC and identify potential therapeutic targets.

METHODS

In this study, we conducted differential analyses of mRNAs, miRNAs, and circRNAs, and established their relationships using various databases such as miRanda, miRDB, and miTarBase. Additionally, functional enrichment and immune infiltration analyses were performed to evaluate the roles of key genes. We also conducted qPCR assays and western blotting (WB) to examine the expression levels of circRNA, CCL25, and MAP2K1 in both HCC cells and clinical samples. Furthermore, we utilized overexpression and knockdown techniques for circ_0000069 and conducted wound healing, transwell invasion assays, and a tumorigenesis experiment to assess the migratory and invasive abilities of HCC cells.

RESULTS

Our findings revealed significant differential expression of 612 upregulated genes and 1173 downregulated genes in HCC samples compared to normal liver tissue. Additionally, 429 upregulated circRNAs and 453 downregulated circRNAs were identified. Significantly, circ_0000069 exhibited upregulation in HCC tissues and cell lines. The overexpression of circ_0000069 notably increased the invasion and migration capacity of Huh7 cells, whereas the downregulation of circ_0000069 reduced this capability in HepG2 cells. Furthermore, this effect was counteracted by CCL25 silencing or overexpression, separately. Animal studies further confirmed that the overexpression of hsa_circ_0000069 facilitated tumor growth in xenografted nude mice, while the inhibition of CCL25 attenuated this effect.

CONCLUSION

Circ_0000069 appears to promote HCC progression by regulating CCL25, suggesting that both circ_0000069 and CCL25 can serve as potential therapeutic targets.

Investigating the causal association between obesity and risk of hepatocellular carcinoma and underlying mechanisms

Obesity is a global health concern and independent risk factor for cancers including hepatocellular carcinoma (HCC). However, evidence on the causal links between obesity and HCC is limited and inconclusive. This study aimed to investigate the causal relationship between obesity-related traits and HCC risk and explore underlying mechanisms using bioinformatics approaches. Two-sample Mendelian randomization analysis was conducted leveraging publicly available genome-wide association study summary data on obesity traits (body mass index, body fat percentage, waist circumference, waist-to-hip ratio, visceral adipose tissue volume) and HCC. Associations of obesity with primary mechanisms (insulin resistance, adipokines, inflammation) and their effects on HCC were examined. Differentially expressed genes in obesity and HCC were identified and functional enrichment analyses were performed. Correlations with tumor microenvironment (TME) and immunotherapy markers were analyzed. Genetically predicted higher body mass index and body fat percentage showed significant causal relationships with increased HCC risk. Overall obesity also demonstrated causal links with insulin resistance, circulating leptin levels, C-reactive protein levels and risk of severe insulin resistant type 2 diabetes. Four differentially expressed genes (ESR1, GCDH, FAHD2A, DCXR) were common in obesity and HCC. Enrichment analyses indicated their roles in processes like RNA capping, viral transcription, IL-17 signaling and endocrine resistance. They exhibited negative correlations with immune cell infiltration and immunotherapy markers in HCC. Overall obesity likely has a causal effect on HCC risk in Europeans, possibly via influencing primary mechanisms. The identified differentially expressed genes may be implicated in obesity-induced hepatocarcinogenesis through regulating cell cycle, inflammation and immune evasion. Further research on precise mechanisms is warranted.

Perioperative impact of liver cirrhosis on robotic liver resection for hepatocellular carcinoma: a retrospective cohort study

BACKGROUND

The safety and efficacy of robotic liver resection (RLR) for patients with hepatocellular carcinoma (HCC) have been reported worldwide. However, the exact role of RLR in HCC patients with liver cirrhosis is not sufficiently determined.

METHODS

We conducted a retrospective study on consecutive patients with cirrhosis or non-cirrhosis who received RLR for HCC from 2018 to 2023. Data on patients' demographics and perioperative outcomes were collected and analyzed. Propensity score matching (PSM) analysis was performed. Multivariate logistic regression analysis was performed to determine the risk factors of prolonged postoperative length of stay (LOS) and morbidity.

RESULTS

Of the 571 patients included, 364 (64%) had cirrhosis. Among the cirrhotic patients, 48 (13%) were classified as Child-Pugh B. After PSM, the cirrhosis and non-cirrhosis group (n = 183) had similar operative time, estimated blood loss, postoperative blood transfusion, LOS, overall morbidity (p > 0.05). In addition, the intraoperative and postoperative outcomes were similar between the two groups in the subgroup analyses of patients with tumor size ≥ 5 cm, major hepatectomy, and high/expert IWATE difficulty grade. However, patients with Child-Pugh B cirrhosis had longer LOS and more overall morbidity than that of Child-Pugh A. Child-Pugh B cirrhosis, ASA score > 2, longer operative time, and multiple tumors were risk factors of prolonged LOS or morbidity in patients with cirrhosis.

CONCLUSION

The presence of Child-Pugh A cirrhosis didn't significantly influence the difficulty and perioperative outcomes of RLR for selected patients with HCC. However, even in high-volume center, Child-Pugh B cirrhosis was a risk factor for poor postoperative outcomes.

Machine learning-based decision support model for selecting intra-arterial therapies for unresectable hepatocellular carcinoma: A national real-world evidence-based study

IMPORTANCE

Intra-arterial therapies(IATs) are promising options for unresectable hepatocellular carcinoma(HCC). Stratifying the prognostic risk before administering IAT is important for clinical decision-making and for designing future clinical trials.

OBJECTIVE

To develop and validate a machine learning(ML)-based decision support model(MLDSM) for recommending IAT modalities for unresectable HCC.

DESIGN, SETTING, AND PARTICIPANTS

Between October 2014 and October 2022, a total of 2,959 patients with HCC who underwent initial IATs were enroled retrospectively from 13 tertiary hospitals. These patients were divided into the training cohort (n = 1700), validation cohort (n = 428), and test cohort (n = 200).

MAIN OUTCOMES AND MEASURES

Thirty-two clinical variables were input, and five supervised ML algorithms, including eXtreme Gradient Boosting (XGBoost), Categorical Gradient Boosting (CatBoost), Gradient Boosting Decision Tree (GBDT), Light Gradient Boosting Machine (LGBM) and Random Forest (RF), were compared using the areas under the receiver operating characteristic curve (AUC) with the DeLong test.

RESULTS

A total of 1856 patients were assigned to the IAT alone Group(I-A), and 1103 patients were assigned to the IAT combination Group(I-C). The 12-month death rates were 31.9% (352/1103) in the I-A group and 50.4% (936/1856) in the I-C group. For the test cohort, in the I-C group, the CatBoost model achieved the best discrimination when 30 variables were input, with an AUC of 0.776 (95% confidence intervals [CI], 0.833-0.868). In the I-A group, the LGBM model achieved the best discrimination when 24 variables were input, with an AUC of 0.776 (95% CI, 0.833-0.868). According to the decision trees, BCLC grade, local therapy, and diameter as top three variables were used to guide clinical decisions between IAT modalities.

CONCLUSIONS AND RELEVANCE

The MLDSM can accurately stratify prognostic risk for HCC patients who received IATs, thus helping physicians to make decisions about IAT and providing guidance for surveillance strategies in clinical practice.

Prediction power of radiomics in early recurrence of hepatocellular carcinoma: A systematic review and meta-analysis

BACKGROUND

Raiomics is an emerging auxiliary diagnostic tool, but there are still differences in whether it can be applied to predict early recurrence of hepatocellular carcinoma (HCC). The purpose of this meta-analysis was to systematically evaluate the predictive power of radiomics in the early recurrence (ER) of HCC.

METHODS

Comprehensive studies on the application of radiomics to predict ER in HCC patients after hepatectomy or curative ablation were systematically screened in Embase, PubMed, and Web of Science.

RESULTS

Ten studies which is involving a total of 1929 patients were reviewed. The overall estimates of radiomic models for sensitivity and specificity in predicting the ER of HCC were 0.79 (95% confidence interval [CI]: 0.68-0.87) and 0.83 (95% CI: 0.73-0.90), respectively. The area under the summary receiver operating characteristic curve (SROC) was 0.88 (95% CI: 0.85-0.91).

CONCLUSIONS

The imaging method is a reliable method for diagnosing HCC. Radiomics, which is based on medical imaging, has excellent power in predicting the ER of HCC. With the help of radiomics, we can predict the recurrence of HCC after surgery more effectively and provide a useful reference for clinical practice.

The Role of DNA Methylation in Gastrointestinal Disease: An Expanded Review of Malignant and Nonmalignant Gastrointestinal Diseases

Esophageal, colorectal, pancreatic, hepatocellular, and gastric cancer together impact millions of patients worldwide each year, with high overall mortality rates, and are increasing in incidence. Additionally, premalignant gastrointestinal diseases, such as Barrett's esophagus and inflammatory bowel disease, are also increasing in incidence. However, involvement of aberrant DNA methylation in these diseases is incompletely understood, especially given recent research advancements in this field. Here, we review knowledge of this epigenetic mechanism in gastrointestinal preneoplasia and neoplasia, considering mechanisms of action, genetic and environmental factors, and 5'-C-phosphate-G-3' island methylator phenotype. We also highlight developments in translational research, focusing on genomic-wide database data, methylation-based biomarkers and diagnostic tests, machine learning, and therapeutic epigenetic strategies.