Screening of characteristic biomolecules related to bladder cancer based on construction of ceRNA regulation network.

OBJECTIVES

The purpose of this study is to screen bladder cancer-associated biomarkers by combining lncRNA, miRNA, and mRNA expression profile of bladder cancer, and to explore bladder cancer-associated tumor markers by constructing a ceRNA regulation network.

METHODS

Bladder cancer mRNA and miRNA samples were downloaded from the TCGA database; the lncRNA and mRNA detected in the RNA-seq expression profile were identified using the HUGO Gene Nomenclature Committee database.

RESULTS

Screening for significant differentially expressed RNA resulted in 1693 mRNAs, 66 lncRNAs, and 130 miRNAs. Then, the significant differently expressed RNAs from the screening were subjected to annotation analysis of GO functional nodes and KEGG signaling pathways. A ceRNA regulation network consisting of lncRNA-miRNA-mRNA was constructed by synthesizing lncRNA-miRNA and miRNA-mRNA. Finally, a ceRNA regulation network consisting of two lncRNAs, one miRNA, and three mRNAs was obtained. KM remodeling curve analysis was performed for each factor.

CONCLUSIONS

In bladder cancer tumor samples, samples down-regulated by LINC01198, PPTRD-AS1, has-miR-216a, SEMA3D, EPHA5, and DCLK1 had a good overall survival prognosis, indicating that these several characteristic target molecules were found to be high-risk factors for bladder cancer tumors.