膀胱癌miRNAs风险预后模型建立与应用

目的:通过筛选与膀胱癌生存预后相关的非编码小分子核糖核酸(microRNAs,miRNAs),构建风险预后模型评价患者预后.方法:从人类癌症基因图谱(The Cancer Genome Atlas,TCGA)数据库下载膀胱癌miRNAs与mRNAs数据及对应的临床相关信息,筛选差异的miRNAs和mRNAs.对差异的m...

Construction and application of a miRNA risk prognosis model for bladder cancer

Objective:To screen biomarkers of non-coding microRNAs(miRNAs)related to survival and prognosis of bladder cancer,and construct a risk prognosis model to evaluate the prognosis of patients.Methods:The number of miRNAs and mRNAs of bladder cancer and the corresponding clinical related information were downloaded from The Cancer Genome Atlas,and the differential miRNAs and mRNAs were screened.The miRNAs related to prognosis were screened by Kaplan-Meier(K-M)survival analysis and univariate Cox regression analysis.Multi-factor Cox regression was used to further analyze the risk model target miRNAs,then establish the best risk prognosis model,and evaluate the model effectiveness at last.Online database and differential mRNAs data was used to predict the binding miRNA target gene,then KEGG and GO enrichment analysis was carried out to predict the function of miRNA target gene.Results:There were 473 differential miRNAs and 7106 differential mRNAs in bladder cancer.24 miRNAs related to the survival and prognosis of bladder cancer patients were obtained by K-M survival analysis and univariate Cox regression screening.Eleven target miRNAs closely related to the risk prognosis model were acquired by multivariate Cox regression,and the miRNAs risk prognosis model of bladder cancer was successfully constructed.The model risk score=(-0.4×Exp_{hsa-miR-145-5p})+(-0.928×Exp_{hsa-miR-99a-5p})+(-0.295×Exp_hsa-miR-7705)+(-0.566×Exp_{hsa-miR-590-3p})+(0.201×Exp_{hsa-miR-337-3p})+(0.576×Exp_{hsa-miR-125b-2-3p})+(0.345×Exp_{hsa-miR-652-3p})+(-0.718×Exp_{hsa-miR-143-5p})+(0.286×Exp_{hsa-miR-3065-3p})+(0.282×Exp_{hsa-let-7c-3p})+(0.145×Exp_{hsa-miR-216a-5p}).The area under the receiver operating characteristic curve of the model was 0.781,which indicated that the risk prognosis model had good prediction efficiency.K-M survival analysis suggested that the higher the model score,the lower the 5-year survival rate.GO and KEGG enrichment analysis showed that model miRNAs could regulate a variety of urinary system activity signals and related pathways,and mediate the progression of bladder cancer.Conclusion:The risk and prognosis assessment model of bladder cancer miRNAs has been successfully constructed,which provides a certain value for predicting the survival of bladder cancer.