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Background: Sorafenib is a standard therapy for patients with advanced hepatocellular carcinoma (HCC). However, no predictive biomarkers of sorafenib efficacy have been discovered. Herein, we investigated the impact of body composition, such as skeletal muscle and visceral fat, on the prognosis of advanced HCC patients treated with sorafenib. Methods: We enrolled 100 patients with advanced HCC treated with sorafenib. Prior to receiving sorafenib therapy, skeletal muscle index (SMI) and visceral fat area (VFA) were measured using computed tomography at the third lumbar vertebra and umbilical level, respectively. Muscle depletion was defined as an SMI value < 42 cm²/m² in men and < 38 cm²/m² in women. High VFA (H-VFA) was defined as a value ≥100 cm². In addition to SMI and VFA, we also analyzed various clinical parameters as potential prognostic factors. Results: Multivariate analysis showed that having a tumor number < 7 (hazard ratio [HR] = 0.409, p < 0.001), absence of extrahepatic spread (EHS) (HR = 0.562, p < 0.001), absence of muscle depletion (HR = 0.498, p = 0.006), and H-VFA (HR = 0.556, p = 0.031) were significant factors for long-term survival. Therefore, we evaluated the prognosis of those with no muscle depletion with H-VFA. The no muscle depletion with H-VFA group showed significantly longer survival than the other group (median survival time 15.6 vs. 11.0 months, p = 0.003). Multivariate analysis showed that having a tumor number < 7 (HR = 0.454, p = 0.001), absence of EHS (HR = 0.511, p = 0.008), and no muscle depletion with H-VFA (HR = 0.454, p = 0.002) were significant predictors of survival. Conclusions: We identified no muscle depletion with H-VFA as a novel biomarker for advanced HCC patients treated with sorafenib.

Background & AimsHepatic arterial infusion chemotherapy (HAIC) is an option for treating advanced hepatocellular carcinoma (HCC). Because of the poor prognosis in HAIC non-responders, it is important to identify patients who may benefit from continuous HAIC treatment; however, there are currently no therapeutic assessment scores for this identification. Therefore, we aimed to establish a new therapeutic assessment score for such patients.MethodsWe retrospectively analyzed 90 advanced HCC patients with elevated baseline alpha-fetoprotein (AFP) and/or des-gamma-carboxy prothrombin (DCP) levels and analyzed various parameters for their possible use as predictors of response and survival. AFP and DCP responses were assessed after half a course of HAIC (2 weeks); a positive-response was defined as a reduction of ≥ 20% from baseline.ResultsMultivariate analysis identified DCP response (odds ratio 16.03, p < 0.001) as an independent predictor of treatment response. In multivariate analysis, Child-Pugh class A (hazard ratio [HR] 1.99, p = 0.018), AFP response (HR 2.17, p = 0.007), and DCP response (HR 1.90, p = 0.030) were independent prognostic predictors. We developed an Assessment for Continuous Treatment with HAIC (ACTH) score, including the above 3 factors, which ranged from 0 to 3. Patients stratified into two groups according to this score showed significantly different prognoses (≤1 vs. ≥2 points: median survival time, 15.1 vs. 8.7 months; p = 0.003).ConclusionsThe ACTH score may be useful in the therapeutic assessment of HCC patients receiving HAIC.

Hepatitis B virus (HBV) is a major cause of liver diseases, including hepatocellular carcinoma (HCC), and more than 650,000 people die annually due to HBV-associated liver failure. Extensive studies of individual promoters have revealed that heterogeneous RNA 5′ ends contribute to the complexity of HBV transcriptome and proteome. Here, we provide a comprehensive map of HBV transcription start sites (TSSs) in human liver, HCC, and blood, as well as several experimental replication systems, at a single-nucleotide resolution. Using CAGE (cap analysis of gene expression) analysis of 16 HCC/nontumor liver pairs, we identify 17 robust TSSs, including a novel promoter for the X gene located in the middle of the gene body, which potentially produces a shorter X protein translated from the conserved second start codon, and two minor antisense transcripts that might represent viral noncoding RNAs. Interestingly, transcription profiles were similar in HCC and nontumor livers, although quantitative analysis revealed highly variable patterns of TSS usage among clinical samples, reflecting precise regulation of HBV transcription initiation at each promoter. Unlike the variety of TSSs found in liver and HCC, the vast majority of transcripts detected in HBV-positive blood samples are pregenomic RNA, most likely generated and released from liver. Our quantitative TSS mapping using the CAGE technology will allow better understanding of HBV transcriptional responses in further studies aimed at eradicating HBV in chronic carriers.IMPORTANCE Despite the availability of a safe and effective vaccine, HBV infection remains a global health problem, and current antiviral protocols are not able to eliminate the virus in chronic carriers. Previous studies of the regulation of HBV transcription have described four major promoters and two enhancers, but little is known about their activity in human livers and HCC. We deeply sequenced the HBV RNA 5′ ends in clinical human samples and experimental models by using a new, sensitive and quantitative method termed cap analysis of gene expression (CAGE). Our data provide the first comprehensive map of global TSS distribution over the entire HBV genome in the human liver, validating already known promoters and identifying novel locations. Better knowledge of HBV transcriptional activity in the clinical setting has critical implications in the evaluation of therapeutic approaches that target HBV replication.