Identification of basement membrane-based prognostic signature and potential therapeutic drugs in hepatocellular carcinoma.

ABSTRACT:

Background

The survival rate of hepatocellular carcinoma (HCC) is low and the prognosis is poor. The basement membrane (BM) is increasingly recognized as a significant player in HCC, although its potential impact on diagnosis, prognosis, and treatment remains unclear. The study aims to investigate the potential of BM-related genes as novel prognostic biomarkers in HCC.

Methods

In this study, we utilized BM-associated genes to classify cohorts of HCC from publicly available database The Cancer Genome Atlas (TCGA) into BM-associated clusters. Through machine learning regression processes, we established a 31-gene molecular classifier known as the BM-based prognostic signature (BMS), based on differentially expressed genes.

Results

We then assessed the prognostic efficac

SUBMITTER: Yu G 

PROVIDER: S-EPMC12554475 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature