基于GEO数据库的膀胱癌差异表达基因的生物信息学分析  

Bioinformatics analysis of differentially expressed genes in bladder cancer based on GEO database

作　　者：孔钰琳 荣胜忠[1] 王慧单 高梦 李晓霞[1] KONG Yu-lin(Mudanjiang Medical University,Mudanjiang 157011,China)

机构地区：[1]牡丹江医学院流行病与统计学教研室,黑龙江牡丹江157011

出　　处：《牡丹江医学院学报》2022年第4期53-57,15,共6页Journal of Mudanjiang Medical University

基　　金：国家自然科学基金资助项目(81872703)。

摘　　要：目的通过综合生物信息学分析确定与不良结果相关的膀胱癌的重要基因,并阐明可能的分子机制。方法从GEO数据库下载数据集(GSE7476,GSE37815和GSE13507)利用GEO2R在线工具筛选出差异表达基因(differentially expressed genes,DEGs)。利用DAVID数据库对DEGs进行基因本体论(GO)注释以及京都基因与基因组百科全书(KEGG)通路富集,利用STRING数据库构架蛋白互作网络(PPI),利用Cytoscape软件进行可视化并利用MCODE插件筛选网络中的关键功能模块,结合Kaplan-Meier plotter数据库对筛选出的DEGs进行预后分析。结果共筛选出101个DEGs,其中95个上调,6个下调;通过对TPM1、ACTC1、ACTA2等9个关键基因进行预后分析发现这9个关键基因的上调差异表达均影响膀胱癌患者的总体生存率。结论TPM1、ACTC1、ACTA2、TPM2等DEGs可能参与了膀胱癌的发生发展,并与膀胱癌预后不良有关,具备作为膀胱癌潜在生物标志物和治疗靶点的潜力。Objective Bladder cancer is the most common malignant tumor of the urinary system,with high morbidity and mortality.Here,we aimed to identify significant genes associated with poor outcomes through integrated bioinformatics analysis and elucidate the possible molecular mechanism.Methods Datasets(GSE7476,GSE37815 and GSE13507)were downloaded from the GEO database and analyzed by the GEO2R web tool to screen out differentially expressed genes(DEGs).The DAVID database for Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment were used to analyze.Protein Interaction Network(PPI)was constructed by STRING database.Cytoscape software was used to visualize and the MCODE plug-in was used to screen the key functional modules in the network,combined with the Kaplan-Meier plotter database to analyze the prognosis of the selected DEGs.Results A total of 101 DEGs were identified,of which 95 were up-regulated and 6 were down-regulated.Through prognostic analysis of 9 key genes such as TPM1,ACTC1,ACTA2,it was found that the up-regulation and differential expression of these 9 hub genes all affected the overall survival of bladder cancer patients.Conclusion A total of 101 DEGs were identified,of which 95 were up-regulated and 6 were down-regulated.Through prognostic analysis of 9 key genes such as TPM1,ACTC1,ACTA2,it was found that the up-regulation and differential expression of these 9 hub genes all affected the overall survival of bladder cancer patients.

关 键 词：膀胱癌 生物信息学 差异表达基因 预后 

分 类 号：R737.14[医药卫生—肿瘤]