| Objectives:In this paper,based on the bioinformatics analysis method,bladder cancer(bladder cancer,BICA)TCGA database mRNA,miRNA and lncRNA gene expression data spectrum and clinical data mining,construction of ceRNA regulatory network related to clinical stage of bladder cancer,search for mRNA,miRNA and lncRNA related to the pathogenesis,progression and survival of bladder cancer,explore the related genes that may play an important role in the diagnosis,progression and prognosis of bladder cancer.Methods:To download the RNA sequencing data,miRNA sequencing data and clinical information of 410 bladder cancer samples from the Cancer Genome Atlas(TCGA)database According to the clinical stage,133 cases of bladder cancer with pathological stage Ⅰ and Ⅱ were classified as "early stage",277 cases of bladder cancer with pathological stage Ⅲ and Ⅳ as "late stage".LncRNA,miRNA and mRNA related to clinical stage were screened out.Through the analysis of the relationship between the differentially expressed RNA by miRcode and mirRDB database,a competitive endogenous RNA(ceRNA)network related to the clinical stage of bladder cancer was constructed.Kaplan Meier method was used to analyze the relationship between the expression of lncRNA,miRNA and mRNA in the ceRNA network and the survival and prognosis of patients.Results:A total of 1290 differentially expressed mRNA,664 lncRNA and 30 miRNA were obtained in this study,and a ceRNA network of differentially expressed lncRNA-miRNA-mRNA was constructed in bladder cancer.The ceRNA network consists of 44 DElncRNAs,7 DEmiRNAs and 45 DEmRNAs.According to the overall survival analysis,19 of 44 DElncRNAs,12 of 45 DEmRNAs and 4 of 7 DEmiRNAs were used as biomarkers for the prognosis of bladder cancer patients(P<0.05).Conclusions:In this study,we constructed a competitive endogenous RNA network related to the clinical stage of bladder cancer.LncRNAs in this network may regulate the occurrence and progress of bladder cancer through the competitive endogenous RNA mechanism,especially the genes related to survival analysis in this network are more likely to be closely related to the occurrence and progress of bladder cancer. |