Construction of ceRNA network and screening of lncRNAs in bladder cancer
Objective:The interaction mechanism between differentially expressed long non-coding RNAs(lncRNAs),microRNAs(miRNAs),and competing endogenous RNA(mRNAs)in bladder cancer was researched,potential lncRNA biomarkers were screened and their pathogenesis was explored.Methods:To obtain differentially expressed lncRNAs,miRNAs,and mRNAs in bladder cancer and construct a ceRNA regulatory network of lncRNA-miRNA-mRNA,bioinformatics methods were used to perform data mining on various databases.To analyze the biological functions of the ceRNA network,mRNAs in the ceRNA network were zanalyzed by gene ontology(GO)and Kyoto encyclopedia of genes and genomes(KEGG)and were constructed protein-protein interactions(PPI)network.lncRNAs in the ceRNA network were analyzed by the Kaplan-Meier survival curve and significantly correlated lncRNAs related to the prognosis of bladder cancer patients were screened from the ceRNA network.Results:The ceRNA network constructed in this study included 17 lncRNAs,32 miRNAs,and 78 mRNAs.GO function anotation showed that the related dysregulated genes were mainly concentrated in the protein serine/threonine kinase pathway,tyrosine kinase pathway,and so on.KEGG pathway enrichment analysis showed that these genes were concentrated in the MAPK signaling pathway,lipid,and atherosclerosis pathways.It can be seen from the PPI network that the core proteins mainly focus on MAPK1,HSPA8,and HNRNPD.Kaplan-Meier survival curve analysis showed that six lncRNAs were significantly correlated with the prognosis of bladder cancer patients,namely C3orf35,ZBTB20-AS1,LINC00112,ARHGAP5-AS1,ARAP1-AS2,and CYB561D2.Conclusions:Different lncRNAs are involved in the pathogenesis of bladder cancer.The construction of the ceRNA regulatory network helps to increase the understanding of the molecular mechanism of bladder cancer.The screened lncRNAs may become biomarkers for the diagnosis of bladder cancer and new targets for treatment.
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