Combined bioinformatics technology to explore pivot genes and related clinical prognosis in the development of gastric cancer.

ABSTRACT: To screen the key genes in the development of gastric cancer and their influence on prognosis. The GEO database was used to screen gastric cancer-related gene chips as a training set, and the R packages limma tool was used to analyze the differential genes expressed in gastric cancer tissues compared to normal tissues, and then the selected genes were verified in the validation set. The String database was used to calculate their Protein-protein interaction (PPI) network, using Cytoscape software's Centiscape and other plug-ins to analyze key genes in the PPI network. The DAVID database was used to enrich and annotate gene functions of differential genes and PPI key module genes, and further explore correlation between expression level and clinical stage and prognosis. Based on clinical da

SUBMITTER: Xu J 

PROVIDER: S-EPMC8322082 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature