Construction and validation of a prognostic signature using CNV-driven genes for hepatocellular carcinoma.

ABSTRACT:

Background

Hepatocellular carcinoma (HCC) is one of the major causes of cancer-related deaths worldwide. Copy number variations (CNVs) affect the expression of genes and play critical roles in carcinogenesis. We aimed to identify specific CNV-driven genes and establish a prognostic model for HCC.

Methods

Integrative analysis of CNVs difference data and differentially expressed genes (DEGs) data from The Cancer Genome Atlas (TCGA) were conducted to identify critical CNV-driven genes for HCC. A risk model was constructed based on univariate Cox regression analysis, Least Absolute Shrinkage and Selection Operator (LASSO), and multivariate Cox regression analyses. The associations between CNV-driven genes signature and infiltrating immune cells were explored. The International C

SUBMITTER: Bian J 

PROVIDER: S-EPMC8246234 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature