Dynamic microbiome and metabolome analyses reveal the interaction between gut microbiota and anti-PD-1 based immunotherapy in hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is a severe disease with high mortality and global incidence. However, the interaction between the gut microbiome and combined immunotherapy for HCC is yet unclear. In this prospective clinical study, patients with unresectable HCC who had not received systemic treatment previously were recruited. Fecal and serum samples were collected at the baseline point and before each subsequent administration as specified. Between 20 October 2019 and 2 February 2021, 61 patients were screened for eligibility, of whom 35 patients were finally included in this study. Alpha diversity of fecal samples from patients who responded to immunotherapy was higher than that of nonresponders at baseline. However, the prominent alpha-diversity between responders and nonresponders became similar as early as week 6 after treatment. The beta diversity of intergroup did not show significant difference at the ninth week after treatment. Alpha-d-Glucose was the only serum metabolite that differed between the responders and nonresponders after 3 months. Responder-enriched Ruminococcus showed a positive correlation with serum galactaric acid, while Klebsiella was positively associated with 3-methylindole and lenticin (all P < .01). The machine learning classifier based on serum metabolites were more able to discriminate HCC patients who potentially benefited from immunotherapy at baseline (AUC 0.793, 95% CI: 0.632-0.954) than the classifier of gut microbiome. In conclusion, gut microbiome biomarkers are associated with the response to anti-PD-1 based immunotherapy in HCC patients. Classifiers based on gut microbiota and serum metabolites are feasible.

Virological Changes of Chronic Hepatitis B Patients with Minimally Elevated Levels of Alanine Aminotransferase: A Meta-Analysis and Systematic Review.

Background: Chronic hepatitis B (CHB) patients with normal or minimally increased levels of alanine aminotransferase (ALT) are still at the risk of hepatocellular carcinoma, cirrhotic events, and mortality. However, there is a debate over the initiation of antiviral treatment for these patients. This systematic review and mate-analysis aimed to explore this problem. Methods: MEDLINE (PubMed), EMBASE, Cochrane Central Register of Controlled Trials, and Web of Science databases were systematically searched for retrieving relevant studies with risk ratios (RRs) or risk differences (RDs) for virological changes between antivirus-treated and no antivirus-treated CHB patients with ALT levels less than two-fold of the upper limit of normal. Retrieved data ranged from January 1990 to October 2020. Results: Of 6783 abstracts screened, 9 studies met the criteria for inclusion in the systematic review and had a low risk of bias. Among studies that were involved in the meta-analyses, it was found that the rates of HBsAg loss (RR = 12.22, 95% confidence interval (CI): 4.28-34.95, P < 0.001), HBsAg seroconversion (RR = 19.90, 95% CI: 2.75-144.09, P=0.003), and undetectable HBV DNA (RR = 11.89, 95% CI: 2.44-57.89, P=0.002) were both higher in the antiviral treatment group compared with placebo or no treatment group. Subgroup analysis suggested that patients who received interferon (IFN)-based therapy were more inclined to achieve HBsAg loss (P=0.010), HBsAg seroconversion (P=0.020), and HBeAg loss (P=0.002). Conclusion: From a sizable population, it was revealed that CHB patients with normal or minimally increased levels of ALT could benefit from the antiviral therapy, especially those who received IFN-based treatment.

Mean arterial pressure drop is an independent risk factor of hepatorenal syndrome in patients with HBV-ACLF.

BACKGROUND/AIMS: In patients with acute-on-chronic liver failure (ACLF), type 1 hepatorenal syndrome (HRS) is a critical organ failure complication that resulted in rapid mortality. There are no efficient parameters to predict HRS in hepatitis B virus (HBV)-related ACLF. To assess HBV-ACLF risk factors and evaluate the association between mean arterial pressures (MAP), HRS and survival in patients with HBV-ACLF. METHODS: A total of 420 ACLF patients were screened from June 2015 to June 2016, and 57 HBV-ACLF patients were included in the study. Clinical data and MAP measurements of these patients were collected. Multivariate analyses, Cox proportional hazards regression and receiver operator characteristic (ROC) curves were used to analyze. RESULTS: In a 30-day study period, 43 (75.44%) patients survived. Patients in the HRS group were older and had higher Model for End-Stage Liver Disease (MELD) scores than patients in the non-HRS group. A MAP drop of ≥9.5 mmHg was an independent predictor of HRS with a sensitivity and specificity of 92.86 and 69.77%, respectively. The baseline MELD score was also an independent risk factor of HRS. MAP drop (OR, 1.582; P = 0.000), prothrombin time, HRS, MELD and FIB were independent prognostic factors for 30-day mortality. The area under the ROC curve of MAP drop was 0.808 (P = 0.001). CONCLUSION: A decrease in MAP was a valuable predictor of HRS in patients with HBV-related ACLF. MAP drop ≥9.5 mmHg may be useful for predicting patient prognosis and exploring new treatment measures in patients with HBV-related ACLF.

A novel panel based on immune infiltration and tumor mutational burden for prognostic prediction in hepatocellular carcinoma.

Tumor mutation burden (TMB) has been associated with prognosis in various malignancies, but it has yet to be elucidated in hepatocellular carcinoma (HCC). We aimed to investigate the prognostic effects of TMB and its relationship with immune infiltration through multiple databases and whole-exome sequencing, so as to establish a panel model capable of predicting prognosis. The results demonstrated that the prognosis of high TMB group was worse than that of low TMB group, with a cutoff TMB value of 4.9. Enrichment analysis demonstrated that differentially expressed genes were mainly related to T cell activation, cell membrane localization and matrix composition. Tumor immune infiltration analysis revealed the infiltrations of Th2, Th17, and Tgd were up-regulated in high TMB group, while those of Tr1, MAIT, and DC were up-regulated in low TMB group. TMB-Infiltration model fit well with the actual survival observation, with a C-index 0.785 (0.700-0.870), which verified in ICGC-LIRI-JP was 0.650 (0.553-0.747). Additionally, these screened immune genes performed well in predicting tumor vascular invasion with a C-index of 0.847 (0.778-0.916). Overall, these results indicated that patients with high mutation frequency of immune-related genes and high TMB were prone to have worse prognosis and relapse after radical treatment.

Forkhead box (FOX) G1 promotes hepatocellular carcinoma epithelial-Mesenchymal transition by activating Wnt signal through forming T-cell factor-4/Beta-catenin/FOXG1 complex.

BACKGROUND: Forkhead box G1 (FOXG1) is a member of the Fox transcription factor family involved in regulation of many cancers. However, the role of FOXG1 in hepatocellular carcinogenesisis largely unclear. The present study aimed at examining the biological function and underlying mechanism of FOXG1 on hepatocellular carcinoma (HCC) tumor metastasis as well as its clinical significance. METHODS: Levels of FOXG1 were determined by immunohistochemical and real-time PCR analysis in HCC cell lines and human HCC samples. The effect of FOXG1 on cancer cell invasion and metastasis was investigated in vitro and in vivo in either FOXG1-silenced or overexpressing human HCC cell lines. Immunoprecipitation and chromatin immunoprecipitation assays were performed to investigate the interaction of FOXG1, ß-catenin, TCF4 and the effect on Wnt target-gene promoters. RESULTS: In human HCC, the level of FOXG1 progressively increased from surrounding non tumorous livers to HCC, reaching the highest levels in metastatic HCC. Furthermore, expression levels of FOXG1 directly correlated with cancer cell epithelial-mesenchymal transition (EMT) phenotype. In FOXG1-overexpressing cells, FOXG1 promotes the stabilization and nuclear accumulation of ß-catenin by directly binding to ß-catenin and it associates with the lymphoid enhancer factor/T cell factor proteins (LEF/TCFs) on Wnt responsive enhancers (WREs) in chromatin. CONCLUSIONS: The results show that FOXG1 plays a key role in mediating cancer cell metastasis through the Wnt/ß-catenin pathway in HCC cells and predicts HCC prognosis after surgery. Targeting FOXG1 may provide a new approach for therapeutic treatment in the future.