基于长链非编码RNA数据构建肺腺癌预后风险评估模型

Prognosmary Risk Model of Lung Adenocarcinoma Based on Long Non-coding RNA Data

目的肺腺癌(lung adenocarcinoma,LUAD)预后相关长链非编码RNA(long non-coding RNA,lncRNA)标志物的筛选及预后风险模型的构建。方法下载癌症基因组图谱(the cancer genome atlas,TCGA)数据库中LUAD患者的lncRNA表达数据和相关临床数据,随后将肿瘤样本和正常样本的lncRNA表达数据进行差异分析,并将差异lncRNA与临床信息合并,进行单因素和多因素Cox回归分析,筛选出与LUAD预后相关的lncRNA,构建预后风险模型。并运用Kaplan-Meier生存分析和受试者工作特征(receiver operating characteristic,ROC)曲线评估模型的预后价值。结果肿瘤样本与正常样本相比,差异表达的lncRNA有727个,其中277个上调,450个下调。单因素和多因素Cox回归分析,筛选出的8个lncRNA作为预测LUAD预后的生物标志物,以上特征的预后价值良好且与其他临床因素无关。结论筛选出的8个lncRNA可以作为预测LUAD患者生存的独立预后生物标志物。

Objective To investigate the prognostic value of the long non-coding RNA(lncRNA)in lung adenocarcinoma(LUAD)and construct a prognostic risk model.Methods lncRNA expression data and relevant clinical data of LUAD patients were downloaded from the cancer genome atlas(TCGA)database.Subsequently,differential lncRNA expression data of tumor samples and normal samples were analyzed,and differential lncRNA were combined with clinical information.Univariate and multivariate Cox regression analyses were performed to screen out lncRNA associated with the prognosis of LUAD and construct a prognostic risk model.The prognostic value of the model was evaluated by Kaplan-Meier survival analysis and receiver operating characteristic(ROC)curve.Results In LUAD,727 lncRNA were differentially expressed compared to normal lung tissues,of which 277 were up-regulated and 450 were down-regulated.Univariate and multivariate Cox regression analyses showed that 8 lncRNA were screened as biomarkers to predict the prognosis of LUAD.The prognostic value of the above characteristic was good,and it was not related to other clinical characteristics.Conclusion The 8 screened lncRNA can be used as independent prognostic biomarkers to predict the survival of LUAD patrents.