Meta-analysis of chronic gastritis developing into gastric cancer by gene expression profiles

Backgrounds: Gastric adenocarcinoma is one of the most typical cancers in the world andthreatening many lives. The expression and function of genes implicated in the development ofchronic gastritis (cGAS) to gastric cancer (GC) remain unclear. Understanding how cGASdevelops into GC may lead to novel preventive and treatment approaches.Materials and Methods: Differentially Expressed Genes (DEGs) from cGAS samples ofGSE۱۰۶۶۵۶ and GSE۵۵۶۹۶ compared to primary GC samples of GSE۱۵۴۵۶ datasets wereidentified by integrated analysis using R software; following these criteria: |𝑙𝑜𝑔۲𝐹𝐶| > ۰.۵ andP-value <۰.۰۵. The protein-protein interaction (PPI) network was built using the STRINGdatabase and analyzed by Cytoscape software to discover hub genes. The R package“Clusterprofiler” was used to conduct pathway enrichment analysis.Results: ۲۳۷ DEGs (۲۷ up-regulated and ۲۱۰ down-regulated) were identified. DEGs enrichedmainly in cytosolic ribosome according to Gene Ontology (GO); Kyoto Encyclopedia of Genesand Genomes (KEGG) pathway analysis enriched in ribosome, coronavirus disease - COVID-۱۹,maturity onset diabetes of the young, and gastric acid secretion. Ribosomal protein S۱۰ (RPS۱۰),MDM۴ regulator of p۵۳ (MDM۴), actin alpha ۱, skeletal muscle (ACTA۱), and tryptophanhydroxylase ۱ (TPH۱) were identified as four hub genes and could be used as potentialtherapeutic targets.Conclusion: In conclusion, we identified four genes associated with the initiation andprogression of GC. Analyzing the de-regulation of genes can help us understand how cGASdevelops to GC and may provide novel biomarkers for early diagnosis of primary GC.

کلیدواژه ها:

Gastric cancer ، Chronic gastritis ، Gene expression analysis ، Bioinformatics ، Metaanalysis