Purpose: Postsustained virologic response (SVR) screening following clinical guidelines does not address individual risk of hepatocellular carcinoma (HCC). Our aim is to provide tailored screening for patients using machine learning to predict HCC incidence after SVR.
Methods: Using clinical data from 1,028 SVR patients, we developed an HCC prediction model using a random survival forest (RSF).
Background: This study aims to identify biomarkers for treatment response of atezolizumab plus bevacizumab (Atezo+Bev) in patients with hepatocellular carcinoma (HCC).
Methods: 96 patients who received Atezo+Bev or lenvatinib as a first-line systemic therapy were enrolled as the training group after propensity score matching (PSM), and 42 patients treated with Atezo+Bev were enrolled as the validation group. 17 serum cytokines were measured by Luminex multiplex assay at the start of treatment.
Cross-sectional analyses using liver tissue from chronic hepatitis B patients make it difficult to exclude the influence of host immune responses. In this study, we performed next-generation sequencing using the livers of hepatitis B virus (HBV)-infected uPA/SCID mice with humanized livers before and after antiviral therapy (AVT) with entecavir and pegylated interferon, and then performed a comparative transcriptome analysis of gene expression alteration. After HBV infection, the expression of genes involved in multiple pathways was significantly altered in the HBV-infected livers.
View Article and Find Full Text PDFBackground: We have been able to use molecular targeted agents for unresectable hepatocellular carcinoma since 2009, and immune checkpoint inhibitors have been approved in recent years. We assessed the efficacy of systemic therapy in Hiroshima University Hospital by each era.
Methods: A total of 357 patients who were treated with sorafenib, lenvatinib, atezolizumab plus bevacizumab combination therapy, or durvalumab plus tremeliumab combination therapy as first-line systemic therapy in our hospital from November 2009 to December 2023 were enrolled in this retrospective cohort study.