基于TCGA数据库构建肺腺癌相关免疫基因预后模型

Construction of Lung Adenocarcinoma-Related Immune Genes Prognostic Model Based on TCGA Database

从TCGA公共数据库中下载535个肺腺癌(lung adenocarcinoma, LUAD)肿瘤组织样品及59个正常组织样品及其相配的临床病例资料,提取样本全转录组测序结果.利用wilcox检验对两组样品进行差异表达分析,利用网址https://www.immport.org/下载免疫基因与肺腺癌转录组差异表达基因取交集,提取与肺腺癌相关的差异表达免疫基因.基于差异表达免疫基因,采用单因素和多因素Cox回归分析构建模型,并根据风险评分,将患者分为高风险组和低风险组;采用生存分析(K-M)和受试者工作特征(ROC)曲线分析检验模型预测效能.结果显示,共提取490个与肺腺癌相关的差异表达免疫基因,其中表达上调基因328个,表达下调基因162个,采用Cox单因素回归分析获得53个与生存时间相关的预后免疫基因,多因素Cox回归分析最终得到一个由15个预后免疫基因构建的风险评估模型.ROC曲线结果证实该模型对LUAD患者5 a内生存率的分析准确性较高(AUC=0.721),单因素和多因素Cox独立分析提示risk score(RS)能作为一个独立的预后指标(P<0.001).临床变量相关性的预后免疫基因表达分布分析发现,ANGPTL4、S100A16和SEMA4B 3个免疫基因表达量在恶性肿瘤中表达较高.以上结果表明,本文所构建的预后免疫基因风险评估模型,可用于评估肺腺癌病人的预后风险值,为肺腺癌病人的预后治疗提供参考依据.

535 lung adenocarcinoma(LUAD)tumor tissue samples and 59 normal tissue samples and their matching clinical case data were downloaded from the TCGA public database,and extracted the whole transcriptome sequencing results of the samples.Differential expression analysis was performed using wilcox test.Using the website https://www.immport.org/to download immune genes and lung adenocarcinoma transcriptome differentially expressed genes for intersection,the differentially expressed immune genes related to lung adenocarcinoma were extracted.Based on differentially expressed genes,a model was constructed using univariate and multivariate Cox regression analysis,and patients were divided into high-risk and low-risk groups according to risk scores.Survival analysis(K-M)and receiver operating characteristic(ROC)curve analysis were used to test the predictive performance of the model.Results show that Cox univariate regression analysis obtains 53 prognostic immune genes related to survival time,and multivariate Cox regression analysis finally obtain a risk assessment model constructed by 15 prognostic immune genes.The results of the ROC curve confirm that the model has a high analytical accuracy for the 5-year survival rate of LUAD patients(AUC=0.721).Univariate and multivariate Cox independent analyses suggest that RS can be used as an independent prognostic indicator(P<0.001).In addition,the expression analysis of prognostic immune gene correlated with clinical variables reveals that the expression levels of three immune genes,ANGPTL4,S100A16,and SEMA4B,are highly expressed in malignant tumors.The prognostic immune gene risk assessment model constructed in this paper can evaluate the prognostic risk value of lung adenocarcinoma patients and provide a reference for the prognosis and treatment of lung adenocarcinoma patients.