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Dataset Information

A systems biology approach to pathogenesis of gastric cancer: gene network modeling and pathway analysis.


ABSTRACT:

Background

Gastric cancer (GC) ranks among the most common malignancies worldwide. This study aimed to find critical genes/pathways in GC pathogenesis.

Methods

Gene interactions were analyzed, and the protein-protein interaction network was drawn. Then enrichment analysis of the hub genes was performed and network cluster analysis and promoter analysis of the hub genes were done. Age/sex analysis was done on the identified genes.

Results

Eleven hub genes in GC were identified in the current study (ATP5A1, ATP5B, ATP5D, MT-ATP8, COX7A2, COX6C, ND4, ND6, NDUFS3, RPL8, and RPS16), mostly involved in mitochondrial functions. There was no report on the ATP5D, ND6, NDUFS3, RPL8, and RPS16 in GC. Our results showed that the most affected processes in GC are the metabolic pro

SUBMITTER: Mottaghi-Dastjerdi N 

PROVIDER: S-EPMC10364406 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature