Screening and Survival Analysis of Hub Genes in Gastric Cancer Based on Bioinformatics
Zheng, Yang, Dai, Jiang, Wei, Wen, Xu (2019) Screening and Survival Analysis of Hub Genes in Gastric Cancer Based on Bioinformatics J Comput Biol (IF: 1.7) 26(11) 1316-1325Abstract
Screening for hub genes associated with gastric cancer and elucidating possible molecular mechanisms of gastric cancer. Five gastric cancer-related gene expression profiles were extracted from the GEO database, and differentially expressed genes (DEGs) were obtained using GEO2R. Gene ontology (GO) enrichment analyses were performed by DAVID, and protein-protein interaction (PPI) network of the DEGs was constructed by STRING and Cytoscape software. Survival value for hub gene comes from the Kaplan-Meier plotter platform. In addition, potential miRNAs of hub genes were predicted by miRWalk. Four hundred seventy-six DEGs were identified in the five expression profiles, these genes are mainly involved in extracellular matrix (ECM)-receptor interaction, chemical carcinogenesis, gastric acid secretion, and PI3K-Akt signaling pathway. Combined with the results of the PPI network and CytoHubba, six hub genes were screened: SERPINH1, NPY, PTGDR, GPER, ADHFE1, and AKR1C1. These genes are highly expressed in gastric cancer tissues, and the overexpression level of these genes is associated with poor survival. A series of miRNAs such as hsa-miRNA-92a-1, hsa-miRNA-647, and hsa-miRNA-507 may play a key role in hub gene regulation. Our studies indicate that SERPINH1, NPY, PTGDR, GPER, ADHFE1, and AKR1C1 may be potential biomarkers and therapeutic targets for gastric cancer in the future.
Links
http://www.ncbi.nlm.nih.gov/pubmed/31233344http://dx.doi.org/10.1089/cmb.2019.0119
