肺腺癌竞争内源性RNA网络的综合分析:基于肿瘤基因组图谱数据库

目的:基于肿瘤基因组图谱数据库（TCGA）架构肺腺癌（LUAD）竞争内源性RNA（ceRNA）网络，鉴定潜在的生存关联性生物标志物，并确定特异性治疗的小分子药物。方法:依据纳入研究标准，利用Edger软件筛选LUAD组织与正常组织(mRNA、lncRNA和miRNA)差异表达的基因。通过miRcode、miRDB、TargetScan和miRanda数据库对差异表达的RNA之间的关系进行分析，构建ceRNA网络。采用Kaplan-Meier方法分析ceRNA网络中的RNA表达量与生存预后的关系，通过富集分析对网络中的mRNA基因功能和调控通路进行分析。通过Cmap数据库筛选治疗LUAD的特异性小分子药物。利用D-lnc软件确定与关键的lncRNA相关的特异性小分子药物。结果:mRNAs(ELAVL2和PBK)、miRNAs(miR-13和miR-210)和lncRNAs(AP002478.1、DSCAM-AS1、LINC00269、LINC00470和LINC00483)与总生存期(OS)关系密切。喜树碱和甲萘醌有可能逆转LUAD的状态。卡铂、多西紫杉醇、帕比司他被确定为与关键lncRNA密切相关的药物。结论:ceRNA网络在LUAD中发挥重要作用，多种差异表达RNA与LUAD预后相关，可能成为潜在的肿瘤诊断标志物和治疗靶点。

Comprehensive analysis of the competing endogenous RNA network in lung adenocarcinoma:Base on TCGA database

Objective:To construct lung adenocarcinoma (LUAD) competitive endogenous RNA (ceRNA) network based on TCGA to identify potential survival-related biomarkers and identify small molecular drugs for targeted therapy.Methods:According to the inclusion criteria,Edger software was used to screen the differentially expressed genes between lung adenocarcinoma and normal tissues (mRNA,lncRNA and miRNA).By analyzing the relationships between miRcode,miRDB,TargetScan and miRanda database,to construct the ceRNA network.Kaplan-Meier method was used to analyze the relationship between RNA in ceRNA network and survival prognosis.The gene enrichment analysis method was used to analyze the mRNA gene function and regulatory pathway in network.The small molecular drugs for LUAD were screened by Cmap database.D-lnc software was used to identify small molecular drugs related to the key lncRNA.Results:mRNAs (ELAVL2 and PBK),miRNAs (miR-13 and miR-210) and lncRNAs (AP002478.1,DSCAM-AS1,LINC00269,LINC00470 and LINC00483) were closely related to the overall survival time (OS).Camptothecin and menadione may reverse the state of LUAD.Carboplatin,docetaxel,and pabstat were identified as drugs closely related to key lncRNA.Conclusion:ceRNA network plays an important role in LUAD.Multiple differentially expressed genes are associated with LUAD prognosis,which may be potential targets for tumor diagnosis and treatment．