Integrative Bioinformatics Analysis for Targeting Hub Genes in Hepatocellular Carcinoma Treatment.

ABSTRACT:

Background

The damage in the liver and hepatocytes is where the primary liver cancer begins, and this is referred to as Hepatocellular Carcinoma (HCC). One of the best methods for detecting changes in gene expression of hepatocellular carcinoma is through bioinformatics approaches.

Objective

This study aimed to identify potential drug target(s) hubs mediating HCC progression using computational approaches through gene expression and protein-protein interaction datasets.

Methodology

Four datasets related to HCC were acquired from the GEO database, and Differentially Expressed Genes (DEGs) were identified. Using Evenn, the common genes were chosen. Using the Fun Rich tool, functional associations among the genes were identified. Further, protein-protein interaction netw

SUBMITTER: Gudivada IP 

PROVIDER: S-EPMC11793067 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature