Circular RNAs (circRNAs) are a class of noncoding RNAs closely related to the development and progression of various human cancers. However, it is unclear whether circRNAs play an important role in the development of bladder cancer. We utilized human circRNA array V2 microarrays to screen circRNA expression profiles in bladder cancer tissues. Bioinformatic tools including circBank, dbDEMC 2.0, miRCancer, TarBase v7.0, miRtarbase, TCGA-BLCA, Cytoscape-MCODE, String, ENCORI, and Venny 2.1 were then employed to construct the circRNA-miRNA-mRNA regulatory networks. In total, 105 upregulated circRNAs and 167 downregulated circRNAs (fold change >2 and p < 0.001) were filtered out. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of filtered dysregulated circRNAs disclosed that the circRNAs regulatory network was closely related with mRNA processing and cell cycle, etc. Further excavation analysis showed that seven differentially overexpressed circRNAs including hsa_circ_0000133, hsa_circ_0023610, hsa_circ_0005615, hsa_circ_0030162, hsa_circ_0077007, hsa_circ_0001140, and hsa_circ_0107031 were associated with bladder cancer invasiveness, and the cell cycle signal axis. has_circTPT1_003-has-miR-218-5p-CCNE2/SMC4 was finally clarified as a possible mechanism for bladder cancer progression. Based on results derived from multiple approaches, we identified that has_circTPT1_003-has-miR-218-5p-CCNE2/SMC4 signal axis may be involved in the invasion process of bladder cancer.
Keywords: bioinformatics; bladder cancer; cell cycle; circRNAs; invasion.