基于TCGA数据库分析代谢限速酶相关基因对胃癌患者预后的影响及生存模型预测

目的 采用生物信息学方法,构建胃癌(Gastric Cancer,GC)患者代谢限速酶表达的预后评估模型,并判断对GC患者预后情况.方法 从肿瘤基因组图谱(the cancer genome atlas program,TCGA)数据库中下载375例GC和32例正常组织标本的RNA测序数据,使用R语言筛选得到差异表达的...

Analysis of effect of metabolic rate limiting enzyme related genes on prognosis of patients with gastric cancer and prediction of survival model based on TCGA database

Objective To construct a prognostic model of metabolic rate limiting enzymes in patients with gastric cancer (GC) by bioinformatics method. Methods RNA sequencing data of 375 GC and 32 normal tissue samples were downloaded from the Cancer Genome Atlas (TCGA) program database, and differentially expressed metabolic rate limiting enzymes were screened by R language. Lasso regression model was used to analyze and construct the prognosis model of differential metabolic rate limiting enzymes, and the effectiveness of the prognosis model was verified. In addition, the univariate and multivariate Cox analyses were used to evaluate whether clinical characteristics and risk score could be used as independent risk factors for GC prognosis. Results Five differentially expressed metabolic rate limiting enzymes (DCK, GAD1, UCK2, GNE and SOAT1) were screened to establish the prognostic model related to GC metabolic rate limiting enzymes. The area under the receiver operator characteristic (ROC) curve of the model was 0.777, which confirmed that the model had a good prognostic value. The multivariate Cox regression analysis showed that the risk score we constructed was an independent factor affecting the overall survival of GC patients (HR=8.889, P<0.001). Conclusion The prognosis model of GC metabolic rate limiting enzymes is successfully constructed by TCGA database, which can help to judge the survival and prognosis of GC patients.