基于免疫相关基因构建肝细胞癌患者的预后模型及效果分析

目的:构建基于免疫相关基因的预测肝细胞癌(hepatocellular carcinoma,HCC)患者预后的预后模型.方法:所有的组织样本均从癌症基因组图谱(The Cancer Genome Atlas,TCGA)项目下载.我们在R软件中对50例正常肝脏组织和373例HCC组织的所有免疫相关基因进行了差异表达分析....

Prognostic model construction and effect analysis of hepatocellular carcinoma patients based on immune-related genes

Objective:To construct a survival model for predicting the prognosis of patients with hepatocellular carcinoma(HCC)based on immune-related genes.Methods:The data were downloaded from The Cancer Genome Atlas(TCGA)project.We performed differential expression analysis of all immune-related genes in 50 normal liver tissues and 373 HCC tissues in R software.For the obtained differentially expressed genes,univariate and multivariate Cox analysis was used and established a prognostic signature based on prognosis-related genes.We then plotted survival curves and receiver operating characteristic(ROC)curves to evaluate the model's prediction level.In addition,we performed univariate and multivariate Cox regression analysis on the prognostic model and multiple clinical information to determine whether the model can be used as an independent predictor for judging HCC patients'survival time.Results:Based on univariate and multivariate Cox analysis,we obtained 10 immune-related genes and constructed the prognostic model.The survival curve indicated that patients with higher risk scores had shorter survival time.The ROC curve showed that these models had an area under the curve(AUC)of 0.826.The risk score of prognostic model could independently predict the patient's prognosis.Conclusion:Our results have screened 10 significant immune-related genes.These genes can be used potential prognostic markers in patients with HCC.The prognostic model can provide personalized predictions for patients'survival time.