A prognostic signature based on insulin-signaling-pathway genes for hepatocellular carcinoma.

ABSTRACT:

Background

Hepatocellular carcinoma (HCC) is the most common subtype of liver cancer. HCC occurrence, metastasis and therapeutic effect are closely related to tumor metabolic microenvironment. However, the role of insulin-related glucose metabolism in HCC has also not been extensively studied.

Method

Transcriptional profiles and clinical data of HCC samples were retrieved from The Cancer Genome Atlas (TCGA). The insulin signaling pathway related genes were derived from GeneCards and only the protein-coding genes with the top 100 relevance score were retained. Univariate Cox analysis, least absolute shrinkage and selection operator (LASSO) regression analysis and multivariate Cox analysis were conducted to develop the prognosis model. The predictive performance of our prognos

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC12528513 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature