肺腺癌中关键RNA结合蛋白预后评估模型的构建

目的 基于生物信息学方法,评估肺腺癌中关键RNA结合蛋白的表达及预后作用.方法 从癌症基因组图谱(TCGA)数据库中下载526例肺腺癌组织、59例正常组织,以及从基因型-组织表达(GTEx)数据库中下载288例正常组织的RNA测序数据,筛选差异表达RNA结合蛋白;单因素和多因素Cox回归分析筛选关键RNA结合蛋白并构建...

Construction of key RNA binding protein prognostic evaluation model in lung adenocarcinoma

Objective Based on bioinformatics methods,to evaluate the expression and prognosis effect of key RNA binding protein in lung adenocarcinoma.Methods From The Cancer Genome Atlas(TCGA),the RNA sequencing data of 526 cases of lung adenocarcinoma tissues,59 cases of normal tissues and 288 cases of the Genotype-Tissue Expression(GTEx)normal tissues were downloaded to screen the differentially expressed RNA binding proteins.Univariate and multivariate Cox regression analysis were used to screen the key RNA binding proteins and construct the prognostic evaluation model.Results A total of 375 differentially expressed RNA binding proteins were found,and 8 key RNA binding proteins related to prognosis were screened(WDR3,SMG9,DARS2,CARHSP1,LARP6,GAR1,INTS7 and EXO1).The construction of a prognostic evaluation model based on 8 key RNA binding proteins found that the overall survival time of the high-risk patients of the experimental group and the validation group model was shorter than the lower-risk patients(P<0.05),and the areas under the receiver operating characteristic curve of the two groups were 0.761 and 0.666,respectively,the prognostic model had validity and accuracy.Conclusion The study successfully constructed an RNA binding protein prognostic evaluation model in lung adenocarcinoma.The above 8 key RNA-binding proteins can be used as molecular markers for the prognosis of lung adenocarcinoma.