Exploring novel independent prognostic biomarkers for hepatocellular carcinoma based on TCGA and GEO databases.

ABSTRACT:

Background

Hepatocellular carcinoma (HCC) has become the fifth most common cancer globally, with the second-highest mortality rate and poor survival outcomes. In our research, we aimed to use The Cancer Genome Atlas and gene expression omnibus databases to identify potential genetic biomarkers to predict and improve the survival rate of HCC patients.

Methods

In GSE60502, GSE76427, and GSE84402, we performed differential expression analysis to obtain differentially expressed genes (DEGs). In the The Cancer Genome Atlas database, the FPKM expression profile was subjected to weighted gene co-expression analysis to obtain modules closely related to HCC. We received common genes by intersecting the genes in the module with the differential genes. Then, we fused the common genes'

SUBMITTER: Hou M 

PROVIDER: S-EPMC9622571 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature