Prediction of targets for gastric cancer based on bioinformatics methods / 国际生物医学工程杂志

ABSTRACT

Objective:To analyze the differentially expressed genes related to gastric cancer and analyze their related signaling pathways.Methods:The gastric cancer-related gene expression chips GSE63121 (miRNA) and GSE2685 (mRNA) were selected from the GEO database. After setting the screening criteria, the differentially expressed genes were obtained, and then the miRDB database was used to predict the common genes related to gastric cancer. GO and KEGG enrichment analyses were performed on consensus genes in the DAVID database. Genes with interactions were visualized using the STRING database to construct a PPI of differentially expressed genes. The relationship between differentially expressed genes and the survival rate of gastric cancer patients were predicted by the GEPIA database, and the meaningful differentially expressed genes were screened according to prognosis. Finally, the TIMER2.0 database was used to analyze the correlation between the finally screened genes and immune cell infiltration.Results:A total of 734 differentially expressed genes were obtained, of which 261 and 473 genes were up-regulated and down-regulated, respectively, and a total of 20 differentially expressed miRNA genes were obtained, of which 1 and 19 genes were up-regulated and down-regulated, respectively. Among these genes, a total of 103 genes were mapped, which were mainly involved in the regulation of immune system and metabolic process in gastric cancer. The screened significantly differentially expressed genes were CREB1 and ESR1, and gastric cancer patients had better prognosis with low expression of CREB1 and ESR1. The expressions of CREB1 and ESR1 were both positively correlated in gastric cancer tissue with the infiltration level of regulatory T cells (Tregs) in the tumor microenvironment (all P<0.05). Conclusions:CREB1 and ESR1 affect immune infiltration during the occurrence and development of gastric cancer. The high expression of CREB1 and ESR1 is associated with poor prognosis. The possible reason is that there are more Tregs cells in the tumor microenvironment. CREB1 and ESR1 are expected to become important targets for studying the pathogenesis and molecular mechanism of gastric cancer and its clinical application.