An immune-related biomarker index for predicting the effectiveness of immunotherapy and prognosis in hepatocellular carcinoma.

ABSTRACT:

Objective

Currently, there are no recognized biomarkers for predicting the immunotherapy response and prognosis of hepatocellular carcinoma (HCC). This study aimed to establish an immune-related gene prognostic index (IRGPI) for HCC, and to investigate the clinical, immune, molecular, and microenvironmental characteristics of the IRGPI subgroups, as well as their impact on the effectiveness of immune checkpoint inhibitors (ICIs) therapy and patients' prognosis.

Methods

We analyzed the LIHC dataset (n = 424) from the The Cancer Genome Atlas (TCGA) database and the GSE10140 dataset (n = 84) from the Gene Expression Omnibus (GEO) database using weighted gene co-expression network analysis (WGCNA) and univariate/multivariate Cox regression analysis to identify immune-related hub

SUBMITTER: Wu X 

PROVIDER: S-EPMC11797110 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature