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

Identification of key genes and pathways associated with esophageal adenocarcinoma development based on GEO database and bioinformatics

目的通过生物信息学方法对GEO芯片数据进行分析,寻找食管腺癌发生发展的关键基因及信号通路。方法GEO数据库中下载食管腺癌基因表达谱芯片数据,使用R软件进行差异基因的统计学分析,并对这些基因进行生物学过程、信号通路及蛋白互作网络分析。结果在GEO中获得GSE26886芯片数据,1383个差异基因与食管腺癌发生发展相关,其中表达上调607个,表达下调776个。选择表达改变明显的前200个基因进行进一步分析,这些差异基因参与的生物学过程有代谢、刺激反应、细胞黏附、细胞再生及免疫过程,主要涉及8条信号通路。结论利用生物信息学方法能有效分析基因芯片数据;食管腺癌的发生与发展是多基因共同参与的结果。这为发掘食管癌早期诊断标志物与治疗相关靶标提供新思路。

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.