Revealing Potential Therapeutic Targets in Gastric Cancer through Inflammation and Protein-Protein Interaction Hub Networks.

ABSTRACT: Background: Gastric cancer (GC) ranks second in incidence and mortality among digestive system cancer, following colorectal cancer. Currently treatment options are limited, and the prognosis for GC remains poor. Methods: Four bulk RNA sequencing (RNA-seq) datasets and two single-cell RNA sequencing (scRNA-seq) datasets were downloaded from the Gene Expression Omnibus (GEO) database. Initially, we identified differentially expressed genes (DEGs). The intersection list of inflammatory response-related DEGs (IRR-DEGs) was utilized for enrichment analyses. Hub genes were extracted from the protein-protein interaction (PPI) network of DEGs, exploring their expression in the context of scRNA-seq landscapes and cell-cell communication. IRR hub DEGs were identified, and pathway and r

SUBMITTER: Wu W 

PROVIDER: S-EPMC12170991 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature