基于GEO数据库分析食管癌差异表达基因

Analysis of differentially expressed genes of esophageal carcinoma based on GEO database

目的寻找食管癌的差异表达基因,进一步筛选与食管癌发生潜在靶点,为食管癌防治提供新思路。方法从基因表达综合(GEO)数据库下载GSE9982基因芯片,利用iDEP在线分析工具筛选食管癌患者与健康人群黏膜组织差异表达基因,并进行差异基因可视化展示。利用STRING数据库进行蛋白质相互作用分析,筛选关键基因。使用注释、可视化和综合发现数据库(DAVID)在线数据库对差异表达基因进行基因本体论(GO)富集分析。结果食管癌差异表达基因497个,上调基因191个,下调基因306个。基因富集分析显示在分子功能、细胞组分、生物过程方面蛋白结合、细胞核、细胞分裂富集结果显著。蛋白相互作用分析得出可视化结果并筛选出10个关键差异表达基因。结论本研究筛选得出食管癌发生主要基因并进行富集分析,结果显著为研究食管癌发病机制和治疗靶点提供方向。

Objective To find the differentially expressed genes of esophageal cancer,and further screen potential targets for esophageal cancer occurrence,so as to provide new ideas for the prevention and treatment of esophageal cancer.Methods GSE9982 gene chip was downloaded from gene expression omnibus(GEO)database,and the differentially expressed genes were screened by iDEP online analysis tool,and the differentially expressed genes were visualized.The STRING website performed protein-protein interaction analysis to screen for key genes.Gene oncology(GO)enrichment analysis of differentially expressed genes was performed using Database for Annotation,Visualization and Integrated Discovery(DAVID)online database.Results There were 497 differentially expressed genes in esophageal cancer,191 up-regulated genes and 306 down-regulated genes.Gene enrichment analysis showed significant enrichment results in protein binding,nucleus and cell division in molecular function,cell composition,biological process.Protein-protein interaction analysis was used to obtain visualized results and screen out 10 key differentially expressed genes.Conclusion The main genes of esophageal cancer are screened and enriched,and the results are significant in this study,which provides a direction for studying the pathogenesis and therapeutic targets of esophageal cancer.