Comparing barriers to early stage diagnosis of hepatocellular carcinoma between safety net hospitals and academic medical centers: An analysis from the United States Safety-Net Collaborative.

BACKGROUND AND OBJECTIVES: Early detection of hepatocellular carcinoma (HCC) is associated with improved survival. However, a greater proportion of patients treated at safety net hospitals (SNHs) present with late-stage disease compared to those at academic medical centers (AMCs). This study aims to identify barriers to diagnosis of HCC, highlighting differences between SNHs and AMCs. METHODS: The US Safety Net Collaborative-HCC database was queried. Patients were stratified by facility of diagnosis (SNH or AMC). Patient demographics and HCC screening rates were examined. The primary outcome was stage at diagnosis (AJCC I/II-"early"; AJCC III/IV-"late"). RESULTS: 1290 patients were included; 50.2% diagnosed at SNHs and 49.8% at AMCs. At SNHs, 44.4% of patients were diagnosed late, compared to 27.6% at AMCs. On multivariable regression, Black race was associated with late diagnosis in both facilities (SNH: odds ratio 1.96, p = 0.03; AMC: 2.27, <0.01). Screening was associated with decreased odds of late diagnosis (SNH: 0.46, p = 0.04; AMC: 0.37, p < 0.01). CONCLUSIONS: Black race was associated with late diagnosis of HCC, while screening was associated with early diagnosis across institutional types. These results suggest socially constructed racial bias in screening and diagnosis of HCC. Screening efforts targeting SNH patients and Black patients at all facilities are essential to reduce disparities.

The prognostic role of an optimal machine learning model based on clinical available indicators in HCC patients.

Although methods in diagnosis and therapy of hepatocellular carcinoma (HCC) have made significant progress in the past decades, the overall survival (OS) of liver cancer is still disappointing. Machine learning models have several advantages over traditional cox models in prognostic prediction. This study aimed at designing an optimal panel and constructing an optimal machine learning model in predicting prognosis for HCC. A total of 941 HCC patients with completed survival data and preoperative clinical chemistry and immunology indicators from two medical centers were included. The OCC panel was designed by univariate and multivariate cox regression analysis. Subsequently, cox model and machine-learning models were established and assessed for predicting OS and PFS in discovery cohort and internal validation cohort. The best OCC model was validated in the external validation cohort and analyzed in different subgroups. In discovery, internal and external validation cohort, C-indexes of our optimal OCC model were 0.871 (95% CI, 0.863-0.878), 0.692 (95% CI, 0.667-0.717) and 0.648 (95% CI, 0.630-0.667), respectively; the 2-year AUCs of OCC model were 0.939 (95% CI, 0.920-0.959), 0.738 (95% CI, 0.667-0.809) and 0.725 (95% CI, 0.643-0.808), respectively. For subgroup analysis of HCC patients with HBV, aged less than 65, cirrhosis or resection as first therapy, C-indexes of our optimal OCC model were 0.772 (95% CI, 0.752-0.792), 0.769 (95% CI, 0.750-0.789), 0.855 (95% CI, 0.846-0.864) and 0.760 (95% CI, 0.741-0.778), respectively. In general, the optimal OCC model based on RSF algorithm shows prognostic guidance value in HCC patients undergoing individualized treatment.

MAFLD-related hepatocellular carcinoma: Exploring the potent combination of immunotherapy and molecular targeted therapy.

Hepatocellular carcinoma (HCC) is a common cause of cancer-related mortality and morbidity globally, and with the prevalence of metabolic-related diseases, the incidence of metabolic dysfunction-associated fatty liver disease (MAFLD) related hepatocellular carcinoma (MAFLD-HCC) continues to rise with the limited efficacy of conventional treatments, which has created a major challenge for HCC surveillance. Immune checkpoint inhibitors (ICIs) and molecularly targeted drugs offer new hope for advanced MAFLD-HCC, but the evidence for the use of both types of therapy in this type of tumour is still insufficient. Theoretically, the combination of immunotherapy, which awakens the body's anti-tumour immunity, and targeted therapies, which directly block key molecular events driving malignant progression in HCC, is expected to produce synergistic effects. In this review, we will discuss the progress of immunotherapy and molecular targeted therapy in MAFLD-HCC and look forward to the opportunities and challenges of the combination therapy.

Efficacy and features of balloon-occluded transarterial chemoembolization for hepatocellular carcinoma: a narrative review.

Background and Objective: Systemic therapy for hepatocellular carcinoma (HCC) is recommended in transarterial chemoembolization (TACE)-refractory and unsuitable cases. In Japan, TACE is broadly classified into conventional TACE (C-TACE), balloon occluded TACE (B-TACE), and drug-eluting beads TACE. However, the type of TACE recommended for TACE-refractory or unsuitable cases has not been elucidated, and a targeted approach for individual cases and appropriate TACE selection is important. B-TACE is considered a valuable therapeutic option in the management of HCC. The technique involves the precise placement of a microcatheter with a balloon into the target hepatic artery, followed by selective occlusion of the hepatic artery, including tumor-feeding vessels, using the balloon. By leveraging the hemodynamic changes resulting from arterial occlusion, B-TACE enables effective accumulation of chemotherapeutic agents within the tumor. Incorporating B-TACE into the treatment strategy for HCC is of utmost importance. Therefore, this article provides an overview of the technique. Methods: A comprehensive review of all available literature in the English language through December 1, 2023 utilizing PubMed was conducted. Key Content and Findings: In the intermediate stage, TACE and systemic therapy play complementary roles, and it is important to select a treatment strategy that considers tumor status and hepatic reserve. However, no study has investigated the various types of TACE in the treatment of such patients. Currently, TACE in Japan is broadly classified into C-TACE, B-TACE, and drug-eluting beads TACE (DEB-TACE). This article outlines the evolution of B-TACE for HCC. We identified retrospective and prospective studies evaluating B-TACE. In this review, we evaluate data on B-TACE for HCC. Conclusions: In the era of systemic therapy, B-TACE may play a complementary and synergy effect role.

SEH1L siliencing induces ferroptosis and suppresses hepatocellular carcinoma progression via ATF3/HMOX1/GPX4 axis.

SEH1 like nucleoporin (SEH1L) is an important component of nuclear pore complex (NPC), which is crucial in the regulation of cell division. However, the interrelation between SEH1L expression and tumor progression is less studied. In this research, we performed a systematic bioinformatic analysis about SEH1L using TCGA, Timer 2.0, Cbioportal, UCLAN and CellMiner™ databases in pan-cancer. Besides, we further validated the bioinformatic results through in vitro and in vivo experiments in HCC, including transcriptome sequencing, real-time quantitative PCR (RT-qPCR), western blotting (WB), immunohistochemistry (IHC), cell proliferation assays, clone formation, EdU, transwell, flow cytometry and subcutaneous tumor model. Our results suggested that SEH1L was significantly up-regulated and related to poor prognosis in most cancers, and may serve as a potential biomarker. SEH1L could promote HCC progression in vitro and in vivo. Besides, the next generation sequencing suggested that 684 genes was significantly up-regulated and 678 genes was down-regulated after the knock down of SEH1L. SEH1L siliencing could activate ATF3/HMOX1/GPX4 axis, decrease mitochondrial membrane potential and GSH, but increase ROS and MDA, and these effects could be reversed by the knock down of ATF3. This study indicated that SEH1L siliencing could induce ferroptosis and suppresses hepatocellular carcinoma (HCC) progression via ATF3/HMOX1/GPX4 axis.

KCTD17-mediated Ras stabilization promotes hepatocellular carcinoma progression.

Background/Aims: Potassium channel tetramerization domain containing 17 (KCTD17) protein, an adaptor for the cullin3 (Cul3) ubiquitin ligase complex, has been implicated in various human diseases; however, its role in hepatocellular carcinoma (HCC) remains elusive. Here, we aimed to elucidate the clinical features of KCTD17, and investigate the mechanisms by which KCTD17 affects HCC progression. Methods: We analyzed transcriptomic data from patients with HCC. Hepatocyte-specific KCTD17 deficient mice were treated with diethylnitrosamine (DEN) to assess its effect on HCC progression. Additionally, we tested KCTD17-directed antisense oligonucleotides for their therapeutic potential in vivo. Results: Our investigation revealed the upregulation of KCTD17 expression in both tumors from patients with HCC and mouse models of HCC, in comparison to non-tumor controls. We identified the leucine zipper-like transcriptional regulator 1 (Lztr1) protein, a previously identified Ras destabilizer, as a substrate for KCTD17-Cul3 complex. KCTD17-mediated Lztr1 degradation led to Ras stabilization, resulting in increased proliferation, migration, and wound healing in liver cancer cells. Hepatocyte-specific KCTD17 deficient mice or liver cancer xenograft models were less susceptible to carcinogenesis or tumor growth. Similarly, treatment with KCTD17-directed antisense oligonucleotides (ASO) in a mouse model of HCC markedly lowered tumor volume as well as Ras protein levels, compared to those in control ASO-treated mice. Conclusions: KCTD17 induces the stabilization of Ras and downstream signaling pathways and HCC progression and may represent a novel therapeutic target for HCC.

Predictive Efficacy of the Advanced Lung Cancer Inflammation Index in Hepatocellular Carcinoma After Hepatectomy.

Background: Hepatocellular carcinoma (HCC) presents a significant global health challenge due to its poor prognosis and high recurrence rates post-surgery. This study examines the predictive efficacy of the Advanced Lung Cancer Inflammation Index (ALI) in assessing the post-hepatectomy prognosis of patients with HCC. Methods: A cohort comprising 1654 HCC patients who underwent hepatectomy at Guangxi Medical University Cancer Hospital from 2013 to 2019 was enrolled. Patients were stratified into two groups according to the median ALI level, and then subjected to propensity score matching (PSM) in a 1:1 ratio. Kaplan-Meier survival curves, the traditional Cox proportional hazards (CPH) model, and machine learning (ML) models were employed to analyze and evaluate ALI's prognostic significance. Furthermore, ALI's prognostic value in digestive system tumors was validated via analysis of the National Health and Nutrition Examination Survey (NHANES) database. Results: After applying PSM, a final cohort of 1284 patients, categorized into high and low ALI groups, revealed a significantly reduced survival time in the low ALI cohort. Univariate and multivariate Cox analyses identified ALI, BCLC stage, CK19, Hepatitis B virus (HBV) DNA, lymph node metastasis, and microvascular invasion (MVI) as independent predictors of prognosis. Both traditional CPH and ML models incorporating ALI demonstrated excellent predictive accuracy, validated through calibration curves, time-dependent ROC curves, and decision curve analysis. Furthermore, the prognostic value of ALI in digestive tumors was confirmed in the NHANES database. Conclusion: The ALI exhibits potential as a prognostic predictor in patients with HCC following hepatectomy, providing valuable insights into postoperative survival.

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.

Additional Hepatic Arterial Infusion Chemotherapy to Sorafenib Was Cost-Effective for Hepatocellular Carcinoma with Major Portal Vein Tumor Thrombosis.

Purpose: The combination of sorafenib and hepatic arterial infusion chemotherapy (SoHAIC) has shown to enhance overall survival rates in patients with advanced hepatocellular carcinoma and major portal vein tumor thrombosis (HCC-Vp3-4) compared to sorafenib alone. Our objective was to evaluate the cost-effectiveness of SoHAIC versus sorafenib for the treatment of HCC-Vp3-4, taking into account the viewpoint of Chinese healthcare payers. Methods: This pharmacoeconomic study employed a Markov model to assess the cost-effectiveness of treating HCC-Vp3-4 with SoHAIC in comparison to sorafenib. The patient characteristics were drawn from individuals from the trial conducted between June 2017 and November 2019, with cost and health value data sourced from published literature. The primary outcome measure in this research was the incremental cost-effectiveness ratio (ICER), which indicates the additional cost per quality-adjusted life year (QALY). The willingness-to-pay (WTP) threshold per QALY was set at $30,492.00. Furthermore, 1-way sensitivity and probabilistic sensitivity analyses were carried out to validate the consistency of the results. Results: In the baseline scenario, sorafenib resulted in 0.42 QALY at a cost of $10,507.89, while SoHAIC generated 1.66 QALY at a cost of $32,971.56. When comparing SoHAIC to sorafenib, the ICER was $18,237.20 per QALY, which was below the WTP threshold per QALY. Furthermore, the 1-way sensitivity analysis demonstrated that the ICER remained within the WTP threshold despite fluctuations in variables. In the probabilistic sensitivity analysis, SoHAIC had a 98.8% probability of being cost-effective at the WTP threshold, considering a wide range of parameters. Conclusion: In this cost-effectiveness evaluation, SoHAIC demonstrated cost-effectiveness over sorafenib for HCC with major portal vein tumor thrombosis, as observed from the perspective of a Chinese payer.

A Rare Case of Eccrine Carcinoma Demonstrating Intracranial Invasion in a Patient With Advanced Hepatocellular Carcinoma.

Eccrine carcinoma (EC) is a rare intraepidermal carcinoma of the eccrine sweat glands. Even more rare are instances of EC exhibiting intracranial invasion. Here, we describe the case of a metachronous EC mass demonstrating intracranial invasion in a patient with advanced-stage hepatocellular carcinoma (HCC), reporting CT head findings of a left frontal skull expansile destructive mass with soft tissue density and immunostain findings of the following: CEA: positive, granular, EMA: positive, AE1/AE3: positive, CK7: strongly positive, CK20: negative, GCDFP: negative, and HEPAR: negative. The only recommended treatment for EC is surgical excision with tumor-free margins, and no chemotherapy protocols currently exist. Due to socioeconomic factors, our patient was unable to receive adequate treatment for her HCC, nor surgical excision for her EC. However, the unique presentation of a rare intracranial EC tumor causing no neurological deficits in a patient with untreated HCC merits the need for a more thorough identification of secondary tumors via biopsy in patients with HCC to identify possible associations between these two tumors in future patients.

Conduction and validation of a novel mitotic spindle assembly related signature in hepatocellular carcinoma: prognostic prediction, tumor immune microenvironment and drug susceptibility.

Introduction: We have developed a risk-scoring model using gene expression levels related to mitotic spindle assembly (MSA) to predict the prognosis of liver cancer. Methods and results: Initially, we identified 470 genes related to MSA from public databases. Subsequently, through analysis of sequencing data from liver cancer patient samples in online databases, we identified 7 genes suitable for constructing the risk-scoring model. We validated the predictive accuracy and clinical utility of the model. Through drug sensitivity analysis, we identified SAC3D1 as a gene sensitive to the most common anti-tumor drugs among these 7 genes. We propose SAC3D1 as a significant target for future clinical treatment. Furthermore, we conducted in vivo and in vitro experiments to validate the relevance of SAC3D1 to MSA and found its significant impact on the PI3K/Akt signaling pathway and spindle function. Conclusion: Our research introduces a novel risk-scoring model that accurately predicts liver cancer prognosis. Additionally, our findings suggest SAC3D1 as a promising therapeutic target for hepatocellular carcinoma, potentially revealing new mechanisms underlying liver cancer development.

ZMAT2 condensates regulate the alternative splicing of TRIM28 to reduce cellular ROS accumulation, thereby promoting the proliferation of HCC cells.

Dysregulation of splicing factor expression plays a crucial role in the progression of hepatocellular carcinoma (HCC). Our research found that the expression level of splicing factor ZMAT2 was increased in HCC, promoting the proliferation of HCC cells. RNAseq data indicated that the absence of ZMAT2 induced skipping exon of mRNA, while RIPseq data further revealed the mRNA binding motifs of ZMAT2. A comprehensive analysis of RNAseq and RIPseq data indicateed that ZMAT2 played a crucial role in the maturation process of TRIM28 mRNA. Knocking down of ZMAT2 led to the deletion of 25 bases in exon 11 of TRIM28, ultimately resulting in nonsense-mediated decay (NMD). Our data revealed that ZMAT2 could regulate TRIM28 to reduce the accumulation of ROS in HCC cells, thereby promoting their proliferation. Our research also discovered that ZMAT2 was capable of undergoing phase separation, resulting in the formation of liquid droplet condensates within HCC cells. Additionally, it was found that ZMAT2 was able to form protein-nucleic acid condensates with TRIM28 mRNA. In summary, this study is the first to reveal that ZMAT2 and TRIM28 mRNA form protein-nucleic acid condensates, thereby regulating the splicing of TRIM28 mRNA. The increased expression of ZMAT2 in HCC leads to upregulated TRIM28 expression and reduced ROS accumulation, ultimately accelerating the proliferation of HCC cells.

RAD51 High-Expressed Hepatocellular Carcinomas are Associated With High Cell Proliferation.

INTRODUCTION: RAD51 is a pivotal DNA repair gene managing double-stranded DNA break recognition and repair. RAD51 high expression was associated with adverse outcomes in other cancer types. This study aims to investigate the tumor microenvironment and immune landscape in the RAD51 high-expressed Hepatocellular Carcinoma (HCCs). METHODS: A total of 467 patients from two large independent cohorts with clinical and transcriptomic data were obtained. The cohort was dichotomized based on the median RAD51 gene expression. xCell and Gene Set Enrichment Analysis (GSEA) were used. RESULTS: RAD51 high-expressed HCCs were associated with worse recurrence-free, progression-free, disease-specific, and overall survival (all P < 0.05). While RAD51 high-expressed HCCs were associated with intratumoral heterogeneity, homologous recombination deficiency, and fraction altered scores, mutation or neoantigens were not increased in this group. xCell analysis demonstrated inconsistent immune cell infiltration between two cohorts. Cytolytic activity as well as GSEA with immune-related gene sets also demonstrated inconsistent results between two cohorts as well. On the other hand, RAD51 expression was significantly increased in higher-grade tumors, larger tumors, and higher clinical stages. RAD51 high-expressed HCCs were found to have elevated proliferation score. Furthermore, GSEA exhibited significant enrichment of all the cell proliferation-related gene sets in the Hallmark collection, including E2F targets, G2M checkpoint, Mitotic spindle, MYC targets, and MTORC1 signaling consistently in both cohorts (all false discovery rate < 0.25). CONCLUSIONS: RAD51 high-expressed HCCs were associated with worse survival and with increased cell proliferation and were not necessarily associated with immune infiltration or inflammation.

Substituted indole derivatives as UNC-51-like kinase 1 inhibitors: Design, synthesis and anti-hepatocellular carcinoma activity.

The five-year survival rate for patients with hepatocellular carcinoma (HCC) is only 20 %, highlighting the urgent need to identify new therapeutic targets and develop potential therapeutic options to improve patient prognosis. One promising approach is inhibiting autophagy as a strategy for HCC treatment. In this study, we established a virtual docking conformation of the autophagy promoter ULK1 binding XST-14 derivatives. Based on this conformation, we designed and synthesized four series of derivatives. By evaluating their affinity and anti-HCC effects, we confirmed that these compounds exert anti-HCC activity by inhibiting ULK1. The structure-activity relationship was summarized, with derivative A4 showing 10 times higher activity than XST-14 and superior efficacy to sorafenib against HCC. A4 has excellent effect on reducing tumor growth and enhancing sorafenib activity in HepG2 and HCCLM3 cells. Moreover, we verified the therapeutic effect of A4 in sorafenib-resistant HCC cells both in vivo and in vitro. These results suggest that inhibiting ULK1 to regulate autophagy may become a new treatment method for HCC and that A4 will be used as a lead drug for HCC in further research. Overall, A4 shows good drug safety and efficacy, offering hope for prolonging the survival of HCC patients.

Value of hepatic artery digital subtraction angiography in the detection of small hepatocellular carcinoma lesions.

OBJECTIVE: To compare the detection rates of hepatic artery digital subtraction angiography (HA-DSA) and magnetic resonance imaging (MRI) gadolinium diethylenetriaminepentaacetic acid (MRI-Gd-DTPA) and MRI gadolinium diethylenetriaminepentaacetic acid (MRI-Gd-EOB-DTPA) for small (diameter ≤2 cm) hepatocellular carcinoma (HCC) lesions. METHODS: A prospective analysis of patients admitted to the Tumor Hospital of Guangxi Medical University between January 1, 2015, and December 30, 2016, was conducted. The detection rates of the three methods were analyzed. The diameter of small HCC lesions detected using HA-DSA and MRI-Gd-EOB-DTPA were evaluated. The diagnostic value of HCC Barcelona staging for HA-DSA was analyzed. RESULTS: For 107 small lesions detected in 57 patients, the detection rates of HA-DSA and MRI-Gd-DTPA were 86.0% (92/107) and 71.0% (76/107), respectively (p < .05). Of 77 small lesions detected in 42 patients using MRI-Gd-EOB-DTPA and HA-DSA, 67 were detected using HA-DSA, all of which had a rich blood supply, and 72 were detected using MRI-Gd-EOB-DTPA. The minimum diameter of lesions detected using MRI-Gd-EOB-DTPA was approximately 0.4 cm, whereas that of lesions detected using HA-DSA was approximately 0.5 cm. After HA-DSA, a change in the Barcelona staging occurred in 33.3% (62/186) of cases but not after MRI-Gd-DTPA; HA-DSA was significantly better than MRI-Gd-DTPA for staging (p = .03). CONCLUSION: HA-DSA and MRI-Gd-EOB-DTPA have high diagnostic values for the detection of small HCC lesions, which is helpful for accurate staging of HCC and provides the most valuable information for patient treatment and prognosis.

Discovering the lipid metabolism-related hub genes of HCC-treated samples with PPARα agonist through weighted correlation network analysis.

Liver cancer is the 4th most lethal form of cancer with a poor prognosis for patients worldwide. Dysregulation of lipid metabolism is related to FA oxidation alternation which can be modified by peroxisome proliferator-activated receptor-α (PPARα). Therefore, it is important to identify the lipid metabolism-related genes regulated by PPARα in liver cancer. Hub genes related to the lipid metabolism pathway of HCC samples treated with PPARα agonist (WY-14,643) were identified through a weighted gene co-expression network analysis (WGCNA). Gene expression and clinical information were obtained from the Gene Expression Omnibus (GEO) database. The network of top main hub genes was visualized by the Cytoscape software using MCODE and CytoHubba plugins. Finally, the expression and clinical association of each hub gene were evaluated using enrichment analysis, TCGA data, GEPIA, GSCA, and q-PCR. Based on our results, the top 5 co-expressed genes including (CPT2, ACSL1, ACSL3, ACOX1, and SLC27A2) were selected as the main hub genes participating in fatty acid metabolism, fatty acid beta-oxidation, and PPAR signaling pathway. All association of higher ACSL3 expression with lower outcomes and survival rates was detected in HCC patients. Therefore, lipid metabolism-related Hub genes regulated by PPARα are potential biomarkers, and they may offer a therapeutical foundation for targeted therapy directed against the HCC antitumor strategy.

Development and Validation of a Noninvasive Model for the Detection of High-Risk Varices in Patients with Unresectable HCC.

BACKGROUND & AIMS: Noninvasive variceal risk stratification systems have not been validated in patients with hepatocellular carcinoma (HCC), which presents logistical barriers for patients in the setting of systemic HCC therapy. We aimed to develop and validate a noninvasive algorithm for the prediction of varices in patients with unresectable HCC. METHODS: We performed a retrospective cohort study in 21 centers in the United States including adult patients with unresectable HCC and Child-Pugh A5-B7 cirrhosis diagnosed between 2007 and 2019. We included patients who completed an esophagogastroduodonoscopy (EGD) within 12 months of index imaging but before HCC treatment. We divided the cohort into a 70:30 training set and validation set, with the goal of maximizing negative predictive value (NPV) to avoid EGD in low-risk patients. RESULTS: We included 707 patients (median age, 64.6 years; 80.6% male; 74.0% White). Median time from HCC diagnosis to EGD was 47 (interquartile range, 114) days, with 25.0% of patients having high-risk varices. A model using clinical variables alone achieved an NPV of 86.3% in the validation cohort, whereas a model integrating clinical and imaging variables had an NPV 97.4% in validation. The clinical and imaging model would avoid EGDs in more than half of low-risk patients while misclassifying 7.7% of high-risk patients. CONCLUSIONS: A model incorporating clinical and imaging data can accurately predict the absence of high-risk varices in patients with HCC and avoid EGD in many low-risk patients before the initiation of systemic therapy, thus expediting their care and avoiding treatment delays.

Growth differentiation factor 15: Emerging role in liver diseases.

Growth differentiation factor 15 (GDF15) is a cell stress-response cytokine within the transforming growth factor-ß (TGFß) superfamily. It is known to exert diverse effects on many metabolic pathways through its receptor GFRAL, which is expressed in the hindbrain, and transduces signals through the downstream receptor tyrosine kinase Ret. Since the liver is the core organ of metabolism, summarizing the functions of GDF15 is highly important. In this review, we assessed the relevant literature regarding the main metabolic, inflammatory, fibrogenic, tumorigenic and other effects of GDF15 on different liver diseases, including Metabolic dysfunction-associated steatotic liver disease(MASLD), alcohol and drug-induced liver injury, as well as autoimmune and viral hepatitis, with a particular focus on the pathogenesis of MASLD progression from hepatic steatosis to MASH, liver fibrosis and even hepatocellular carcinoma (HCC). Finally, we discuss the prospects of the clinical application potential of GDF15 along with its research and development progress. With better knowledge of GDF15, increasing in-depth research will lead to a new era in the field of liver diseases.

Metabolic dysfunction-associated steatotic liver disease and its link to cancer.

Metabolic-dysfunction associated steatotic liver disease (MASLD), formerly known as nonalcoholic fatty liver disease (NAFLD), is a growing global health concern with significant implications for oncogenesis. This review synthesizes current evidence on the association between MASLD and cancer risk, highlighting its role as a risk factor for both intrahepatic and extrahepatic malignancies. MASLD is increasingly recognized as a major cause of hepatocellular carcinoma (HCC), with its incidence rising in parallel with the prevalence of metabolic dysfunction. Furthermore, MASLD is associated with an elevated risk of various gastrointestinal cancers, including colorectal, esophageal, stomach, and pancreatic cancers. Beyond the digestive tract, evidence suggests that MASLD may also contribute to an increased risk of other cancers such as breast, prostate, thyroid, gynecological, renal and lung cancers. Understanding the mechanisms underlying these associations and the impact of MASLD on cancer risk is crucial for developing targeted screening and prevention strategies.

METTL5 enhances the mRNA stability of TPRKB through m6A modification to facilitate the aggressive phenotypes of hepatocellular carcinoma cell.

N6-methyladenosine (m6A) modification plays an important role in RNA molecular functions, therefore affecting the initiation and development of hepatocellular carcinoma (HCC). Herein, multiple datasets were applied to conduct a comprehensive analysis of DEGs within HCC and the analysis revealed significant dysregulation of numerous genes. Functional and signaling pathway enrichment analyses were performed. Further, TP53RK binding protein (TPRKB) emerged as a significant factor, exhibiting high expression level within HCC tissue samples and cells which could predict HCC patients' poor OS. Knockdown investigations of TPRKB in vitro demonstrated the effect of TPRKB knockdown on attenuating the aggressiveness of HCC cells by suppressing the viability, colony formation, invasive ability, and migratory ability, inducing cell cycle arrest, and facilitating the apoptosis of HCC cells. Investigations in vivo revealed that TPRKB knockdown significantly suppressed tumor growth in mice model. Additionally, the study identified methyltransferase 5, N6-adenosine (METTL5) as a potential regulator of TPRKB expression via m6A modification, positively regulating TPRKB expression by enhancing TPRKB mRNA stability. The dynamic effects of METTL5 and TPRKB upon the phenotypes of HCC cells further confirmed that TPRKB overexpression partially abolished the anti-cancer effects of METTL5 knockdown upon the aggressiveness of HCC cells. Conclusively, our findings uncover that TPRKB, significantly overexpressed in HCC, exerts a critical effect on promoting tumor aggressiveness, and its expression shows to be positively regulated by METTL5 via m6A methylation. These insights deepen the understanding of HCC pathogenesis and open new avenues for targeted therapies, highlighting that METTL5-TPRKB axis is an underlying new therapeutic target in HCC management.