基于TCGA及验证分析关键lncRNA作为胃癌患者的潜在预后生物标志物

Based on TCGA and validation analysis of key IncRNA as a potential prognostic biomarker for gastric cancer patients

目的:构建基于长链非编码RNA(lncRNA)的胃癌(GCa)患者预后风险模型。方法:从癌症基因组图谱(TCGA)数据库中检索GCa患者的RNA测序数据和临床信息,使用R软件筛选免疫相关基因及lncRNA,进行单变量和多变量Cox回归分析以构建预后风险模型、生存分析和受试者ROC曲线用于评估模型的敏感性和特异性。结果:从TCGA数据库收集的GCa患者的临床信息,以确定用于预后的lncRNA生物标志物。从375例胃腺癌(stomach adenocarcinoma,STAD)组织和32例非癌组织中根据单变量和多变量Cox回归分析,发现了6个lncRNA(AP003392.1、AL022316.1、AC005586.1、LINC01315、AP001318.2、AL161785.1)与GCa患者存活相关,被选择建立预后风险模型。基于该风险模型,高危患者和低危患者的总生存率存在显著差异。该模型的ROC曲线下面积(AUC)为0.686。基因表达谱数据动态分析(gene expression profiling interactive analysis,GE-PIA)结果证实了LINC01315在STAD中的表达和预后意义。临床数据证实胃癌中LINC01315的表达较健康人,群是高表达。结论:构建lncRNA预后风险模型,风险值可以作为独立预后因子预测GCa患者的预后情况,降低LINC01315表达可能在GCa患者的生存率方面发挥重要作用。

Objective:To construct a lncRNA-based prognostic risk model for patients with gastric cancer(GCa).Methods:RNA sequencing data and clinical information of GCa patients were retrieved from The Cancer Genome Atlas(TCGA)database,immune-related genes and lncRNA were screened using R software,and univariate and multivariate Cox regression analyses were performed to construct prognostic risk models,survival analyses and subject ROC curves for assessing the sensitivity and specificity of the models,Results:Collected clinical information on GCa patients from the TCGA database to identify lncRNA biomarkers for prognostic purposes.From375 stomach adenocarcinoma(STAD)tissues and32 non-cancerous tissues based on univariate and multivariate Cox regression analysis,six lncRNAs(AP003392.1,AL022316.1,AC005586.1,LINC01315,AP001318.2,andAL161785.1)were associated with survival in GCa patients andwereselectedfor prognostic risk modeling.Based on this risk model,therewas a significant difference in overall survival between high-risk and low-risk patients.The area under the curve(AUC)of the ROCcurve for this model was0.686.Gene Expression Profiling Interactive Analysis(GEPIA)results confirmed the expression and prognostic significance of LINC01315in STAD.The clinical dataconfirmed that theexpressionof LINC01315 inSTAD is high compared to the healthy population.Conclusion:LncRNA prognostic risk model was constructed,and the risk value could be used as an independent prognostic factor to predict the prognosisof GCa patients,and reducing LINCO1315 expression may play an important role in the survival ofGCapatients.