Identification and Analysis of Crucial Genes Underlying Gastric Cancer via Bioinformatics Techniques

Introduction: Gastric cancer (GC) has become a significant concern globally, particularly inEast Asian nations, in recent times. According to the GLOBOCAN database, GC is the fourth mostcommon cancer and the third leading cause of cancer-related deaths worldwide. This study aimed toexplore biomarkers based on differentially expressed genes (DEGs) that may act as a driver factor intumorigenesis .Two sets (۴۰۰ samples) of data were obtained from the GEO database, and each of these sets underwentquality analysis through the application of PCA. Subsequently, the LIMMA package was utilized toidentify genes that exhibited differential expression. To determine the common DEGs between them, aVenn diagram was employed. Furthermore, the TCGA RNA-seq results were employed to validate ourfindings. Lastly, the relationship between the DEGs and the survival time of the disease was assessedusing the Kaplan-Meier plotter .In two datasets, ۱۴ genes were found to be significantly dysregulated (adj.P.val < ۰.۰۵). Among them,three genes ATP۴A, ESRRG, and ADIPOQ show a significant decrease in expression in both datasets.Based on the information provided by the GeneCards and Reactome pathway databases, these genesexert regulatory control over various crucial pathways, including Ion channel transport, NuclearReceptor transcription pathway, and AMPK Signaling Pathway. According to Kaplan-Meier plots DEGsare correlated with poor prognosis in GC.Our investigation revealed that the three genes ATP۴A, ESRRG, and ADIPOQ play significant roles inGC and they are correlated with poor prognosis in GC.

کلیدواژه ها:

Gastric Cancer ، Biomarker ، Microarray ، Bioinformatics Analysis