Identification of potential prognostic biomarkers for hepatocellular carcinoma.

ABSTRACT:

Background

The incidence of liver cancer is increasing every year. Hepatocellular carcinoma (HCC) accounts for nearly 90% of liver cancer, and the overall 5-year survival rate of become of Hepatocellular carcinoma patients less than 20%. However, the molecular mechanism of HCC progression and prognosis still requires further exploration.

Methods

In this study, we downloaded the gene expression data from the Cancer Genome Atlas (TCGA) Genomic Data and the official website of GEO database. Weighted gene co-expression network analysis (WGCNA) and Pearson's correlation coefficient were utilized to detect the gene modules. The shared differentially-expressed genes (DEGs) were screened out by a Venn diagram, and the hub genes were identified through protein-protein interaction (PP

SUBMITTER: Zhang L 

PROVIDER: S-EPMC9086056 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature