Identification and validation of the fibrosis-related molecular subtypes of hepatocellular carcinoma by bioinformatics.

ABSTRACT: We identified novel Molecular subtypes according to the expression of fibrosis-related genes (FRGs) and constructed a prognostic model using different expression genes (DEGs) for patients with Hepatocellular carcinoma (HCC). We downloaded the clinical data and transcriptome data of HCC from The Cancer Genome Atlas (TCGA) database, Gene Expression Omnibus (GEO) database, and International Cancer Genome Consortium (ICGC) database. We identified two fibrosis-related molecular subtypes of HCC by consensus unsupervised clustering analysis. Interestingly, these two molecular subtypes significantly differed in overall survival (OS) and clinical characteristics. Besides, the most minor absolute shrinkage and selection operator (Lasso) and multivariate Cox regression analysis were performed to deve

SUBMITTER: Liu LL 

PROVIDER: S-EPMC12185811 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature