非小细胞肺癌关键基因的生物信息学分析  

Bioinformatics analysis of key genes associated with non-small-cell lung cancer by using published microarray datasets

作　　者：宋旭辉[1] 黄敏[2] 王华国[1] 林胜[1] SONG Xuhui;HUANG Min;WANG Huaguo;LIN Sheng(Department of Clinical Laboratory,Ziyang First People's Hospital,Sichuan Ziyang 641300,China;Department of Blood Transfusion,Ziyang First People's Hospital,Sichuan Ziyang 641300,China)

机构地区：[1]资阳市第一人民医院检验科,四川资阳641300 [2]资阳市第一人民医院输血科,四川资阳641300

出　　处：《现代肿瘤医学》2021年第6期973-978,共6页Journal of Modern Oncology

摘　　要：目的:通过生物信息学方法挖掘非小细胞肺癌(NSCLC)基因表达谱芯片数据,筛选并验证与NSCLC发生和预后相关的关键基因。方法:从Gene Expression Omnibus(GEO)数据库中下载芯片数据(GSE101929和GSE27262)。采用GEO2R在线工具筛选癌组织和癌旁组织中的差异表达基因(DEGs);采用DAVID在线工具对差异表达基因进行GO和KEGG信号通路分析并用Cytoscape和FunRich软件进行可视化;采用GEPIA在线工具对差异表达基因进行验证和预后分析。结果:共筛选出1816个差异表达基因,其中上调基因数651个,下调基因数1165个。上调基因主要富集在“基质金属肽酶活性”,下调基因主要富集在“受体活性”等分子功能。KEGG信号通路分析显示上调基因主要富集在“有丝分裂前中期”等信号通路,而下调基因主要富集在“上皮-间质转化”信号通路。蛋白-蛋白交互作用(PPI)分析显示,上调基因中的前五位为TOP2A、CDK1、CCNB1、CCNA2和KIF11,而下调基因中的前五位为IL6、FGF2、LRRK2、EDN1和IL1B。总生存率分析显示,KIF11低表达与NSCLC预后呈负相关。结论:本研究鉴定出了与NSCLC相关的关键基因,有望作为NSCLC患者潜在治疗靶点或预后判断相关的生物标志。Objective:To identify and validate key genes associated with non-small-cell lung cancer(NSCLC)by using bioinformatics from two mRNA microarray datasets(GSE101929 and GSE27262)from the Gene Expression Omnibus(GEO)database.Methods:Differential expression genes(DEGs)were obtained from GEO2R online tool and the overlap DEGs were identified.GO analysis and KEGG pathway enrichment were performed by DAVID database and visualized by Cytoscape and FunRich software.Finally,GEPIA was employed to validate the hub genes and analyze the overall survival(OS)of NSCLC patients.Results:A total of 651 up-regulated and 1165 down-regulated overlap DEGs were obtained.The up-regulated DEGs were mainly enriched in molecular function of metallopeptidase activity,while down-regulated genes were mainly enriched in receptor activity.KEGG analysis showed that the up-regulated genes mainly enriched in mitotic prometaphase signaling pathway,while the down-regulated genes mainly enriched in epithelial to mesenchymal transition signaling pathway.The PPI network showed that the top 5 up-regulated genes were TOP2A,CDK1,CCNB1,CCNA2 and KIF11,while the top 5 down-regulated genes were IL6,FGF2,LRRK2,EDN1 and IL1B.The overall survival(OS)analysis revealed that only the up-regulated gene KIF11 was associated with worse OS of patients with NSCLC.Conclusion:The present study identified key genes associated with NSCLC,which might be used as prognostic biomarkers and therapeutic targets of NSCLC.

关 键 词：非小细胞肺癌 关键基因 微阵列 

分 类 号：R734.2[医药卫生—肿瘤]