Identification of Potential Prognostic Biomarkers Associated With Macrophage M2 Infiltration in Gastric Cancer.

ABSTRACT: Gastric cancer is a common cancer afflicting people worldwide. Although incremental progress has been achieved in gastric cancer research, the molecular mechanisms underlying remain unclear. In this study, we conducted bioinformatics methods to identify prognostic marker genes associated with gastric cancer progression. Three hundred and twenty-seven overlapping DEGs were identified from three GEO microarray datasets. Functional enrichment analysis revealed that these DEGs are involved in extracellular matrix organization, tissue development, extracellular matrix-receptor interaction, ECM-receptor interaction, PI3K-Akt signaling pathway, focal adhesion, and protein digestion and absorption. A protein-protein interaction network (PPI) was constructed for the DEGs in which 25 hub genes were

SUBMITTER: Liu B 

PROVIDER: S-EPMC8802722 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature