Identification of the regulatory interactions related to gastric cancer via integrated bioinformatics analysis

Gastric cancer (GC) is a significant global health issue due to being the third-leading cause of cancer deaths worldwide. MicroRNAs (miRNAs) are small non-coding RNAs that post-transcriptionally regulate gene expression and play a role in pathogenesis of many cancers, including gastric cancer. In this study, we aim to Identifying the molecular signatures and specific biomarkers of GC using integrated bioinformatics analysis. The GC-related gene expression profiles were extracted from the Gene Expression Omnibus database. The identification of the differentially expressed genes (DEGs), was performed by the GEO۲R tool. Toppfun database was used to investigate the Gene Ontology and prediction of miRNAs targets mRNAs. Hub genes were identified based on the protein-protein interactions (PPI) constructed in the STRING database with Cytoscape software. Centrality metrics such as degree, betweenness, closeness, and eigenvector centrality determined hub genes in PPI. Then, miRNA-mRNA reconstructed with Cytoscape. A total of ۲۰۰۰ DEGs were identified between six GC datasets. ITGB۱, HIF۱A, SOX۲, STAT۳, EGFR, FN۱, and BRCA۱ were selected as hub genes in PPI. The majority of the DEGs were enriched in Interleukin-۴ and ۱۳ signaling, RAC۱/PAK۱/p۳۸/MMP۲ pathway, Signaling by Interleukins. In the miRNA-mRNA bipartite network let-۷b, miR-۱۰a, miR-۱۴۴, miR۱۷, miR-۱۵۳, miR-۱۲۹۰ were found as hub. The hub miRNAs (let-۷b and miR-۱۰a) in the mRNA-miRNA bipartite network played a key role in GC progression; however, these findings need further investigation

کلیدواژه ها:

mRNA-miRNA bipartite network ، microRNA ، bioinformatic analysis ، gastric cancer