Identification of hub genes and biological pathways in hepatocellular carcinoma by integrated bioinformatics analysis.

ABSTRACT:

Background

Hepatocellular carcinoma (HCC), the main type of liver cancer in human, is one of the most prevalent and deadly malignancies in the world. The present study aimed to identify hub genes and key biological pathways by integrated bioinformatics analysis.

Methods

A bioinformatics pipeline based on gene co-expression network (GCN) analysis was built to analyze the gene expression profile of HCC. Firstly, differentially expressed genes (DEGs) were identified and a GCN was constructed with Pearson correlation analysis. Then, the gene modules were identified with 3 different community detection algorithms, and the correlation analysis between gene modules and clinical indicators was performed. Moreover, we used the Search Tool for the Retrieval of Interacting Genes (STRIN

SUBMITTER: Zhao Q 

PROVIDER: S-EPMC7821758 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature