Comprehensive bioinformatics analysis for Identification of PotentialCrucial Genes and Key Pathways in Early Diagnosis of GastricCancer: Helicobacter pylori (Follicular gastritis) Induced Chronic Gastritis with Increasing Risk of Gastric Cancer

Chronic gastritis (CG) is an inflammatory disease in which the epithelium of the gastric mucosa is invaded by various pathogenic factors. CG can be divided into three categories: chronic non-atrophic, chronic atrophic, and “special” If not treated in a timely manner, CG can transform into gastric cancer. Microarray analysis has been used for more than ۱۰ years as a reliable technique to probe differentially expressed genes (DEGs) and identify potential clinical biomarkers. In this study, we used integrated bioinformatics to screen for key genes associated with the development of gastric cancer and reveal their potential molecular mechanisms. The gene chip dataset GSE۱۱۶۳۱۲ was downloaded from the GEO datasets and R software was used to identify DEGs. Kaplan Meier was used for estimating the survival function. A total of ۳۷۴ DEGs including ۹۴ upregulated and ۲۹۰ downregulated were identified. Protein-protein interaction network and module analyses were performed using Cytoscape software. The top ۱۰ hub genes identified from the PPI network were APOB, APOA۴, SLC۲A۲, DPP۴, SI, CFTR, SLC۵A, DGAT۱, EPCAM and CLCA۱. GO analysis showed that the biological process of DEGs mainly focused on digestion, transport, gastric acid secretion and cell adhesion. The main cellular components (CC) include basolateral plasmamembrane, apical plasma membrane, cell membrane. Molecular function (MF) include protease, aminotransferase, acyltransferase, lyase and hydrolase.KEGG analysis of the hub DEGs showed that were mainly enriched in the pancreatic secretion, gastric acid secretion, protein digestion and absorption and metabolic pathways. The results of examining the survival of key genes in patients with gastric cancer showed that there is a significant relationship between the genes and the survival of existing patients, except APOA۴ and DGAT۱.This study provides a new insight into the understanding of the molecular mechanisms associated with gastric cancer and suggested that the hub genes may serve as prognostic predictors.

کلیدواژه ها:

Chronic gastritis and Follicular gastritis ، Microarray ، Biomarkers ، Gene Expression Ombious (GEO) ، Survial