基于GEO数据库的生物信息学分析筛选食管腺癌发生发展关键基因及通路

Objective To investigate the potential genes and pathways associated with esophageal adenocarcinoma through microarray expression profiling data analysis and bioinformatics approaches. Methods The mRNA expression microarray data related to esophageal adenocarcinoma development were screened out with GEO database, and the biological processes, signaling pathways and network of these genes were statistically analyzed using "R" software. Results The GSE26886 was obtained from GEO database. A total of 1383 differentially expressed genes were associated with carcinogenesis of esophageal adenocarcinoma, including 607 up-regulated and 776 down-regulated genes. These genes were involved in metabolism, stimulate responses, cell adhesion, cell regeneration and immune biological processes. Eight significantly enriched pathways were identified by pathway analysis. Conclusion The bioinformatic method can analyze the gene chip data effectively. Multiple genes and signaling pathways are involved in the carcinogenesis of esophageal adenocarcinoma, which provides a new idea or approach for exploring biomarkers of early screening and therapeutic targets.