基于生物信息学的乳腺癌潜在关键基因鉴定与预后分析  

Identification and prognosis analysis of potential key genes in breast cancer based on bioinformatics

作　　者：胡振良 何奉姣 邓霖萱 贺睿昕 唐亮[1] 向勤 HU Zhenliang;HE Fengjiao;DENG Linxuan;HE Ruixin;TANG Liang;XIANG Qin(School of Basic Medicine,Changsha Medical University,Hu'nan Province,Changsha410219,China)

机构地区：[1]长沙医学院基础医学院,湖南长沙410219

出　　处：《中国当代医药》2022年第33期14-18,23,共6页China Modern Medicine

基　　金：湖南省自然科学基金项目(2021JJ40641);湖南省教育厅科学研究项目(19B072);湖南省大学生创新创业训练计划项目[湘教通(2019)219号-2429,国家级(2020)s202010823018]。

摘　　要：目的利用生物信息学方法筛选乳腺癌发生发展过程中的关键基因和重要信号通路,为乳腺癌发病机制的解析和治疗提供新的候选靶点和理论依据。方法从基因表达数据库(GEO)下载数据集GSE139038,利用GEO2R筛选差异表达基因,用于注释、可视化和集成发现的数据库(DAVID)对差异表达基因进行基因本体论(GO)功能注释和京都基因与基因组百科全书(KEGG)信号通路注释,STRING在线分析工具和Cytoscape软件对差异基因构建蛋白质相互作用网络并筛选关键基因,利用基因表达谱分析(交互分析)(Gene GEPIA)和Kaplan-Meier Plotter在线分析工具对候选的关键基因进行表达验证和生存分析。结果筛选出519个显著差异表达基因(|log2FC|≥2,P<0.01),其中下调基因38个,上调基因481个。蛋白质相互作用网络分析共筛选出10个潜在的核心基因(CDK1、CDCA8、SSK1、BUB1、TOP2A、DLGAP5、NUF2、CT84、CDCA5、MELK)。这10个潜在的核心基因在乳腺癌样本中高表达且具有较差的预后。结论CDK1、CDCA8、SSK1、BUB1、TOP2A、DLGAP5、NUF2、CT84、CDCA5和MELK可能是乳腺癌发生发展的关键基因,为乳腺癌诊断、治疗和预后评估提供了潜在理论依据。Objective In order to provide new candidate targets and theoretical basis for the analysis and treatment of breast cancer pathogenesis,using bioinformatics methods to screen key genes and important signaling pathways in the development of breast cancer.Methods The dataset GSE139038 were downloaded from the Gene Expression Omnibus(GEO),and differentially expressed genes were screened by GEO2R.The Database for Annotation,Visualization and Integrated Discovery(DAVID)was applied for gene ontology(GO)functional annotation of differentially expressed genes and Kyoto Encyclopedia of Genes and Genomes(KEGG)signaling pathway annotation.STRING online analysis tools and Cytoscape software were used to build protein interaction network of differential genes and screen key genes,and expression verification and survival analysis of candidate key genes were performed by gene expression profile analysis(interaction analysis)(Gene GEPIA)and Kaplan MeierPlotter online analysis tools.Results A total of 519 significantly differentially expressed genes(|log2FC|2 or higher,P<0.01)were selected,which include 38 down-regulated genes,481 up-regulated genes,10 potential core genes(CDK1,CDCA8,SSK1,BUB1,TOP2A,DLGAP5,NUF2,CT84,CDCA5,MELK)were screened by protein interaction network analysis,which were highly expressed in breast cancer samples and had poor prognosis.Conclusion CDK1,CDCA8,SSK1,BUB1,TOP2A,DLGAP5,NUF2,CT84,CDCA5 and MELK may be key genes in the development and progression of breast cancer,providing potential theoretical basis for the diagnosis,treatment and prognosis assessment of breast cancer.

关 键 词：乳腺癌 生物信息学 差异表达基因 预后 

分 类 号：R737.9[医药卫生—肿瘤]