Identification of a potentially functional circRNA–miRNA–mRNA regulatory network for investigating pathogenesis and providing possible biomarkers of bladder cancer

• Published in: Cancer cell international Vol. 20; no. 1; pp. 31 - 15
• Main Authors: Lu, Hong-cheng, Yao, Jia-qi, Yang, Xiao, Han, Jie, Wang, Jing-zi, Xu, Kun, Zhou, Rui, Yu, Hao, Lv, Qiang, Gu, Min
• Format: Journal Article
• Language: English
• Published: England BioMed Central 29.01.2020; BMC
• Subjects: 1-Phosphatidylinositol 3-kinase; AKT protein; Biomarker; Biomarkers; Bladder cancer; Cancer; Cancer therapies; Cell cycle; ceRNA; circRNA; Computer applications; DNA microarrays; Gene expression; Genomes; Identification; MAP kinase; Medical prognosis; MicroRNAs; miRNA; Oncology; Pathogenesis; Polymerase chain reaction; Primary Research; Statistical analysis; Therapeutic applications; United States > US; China; ceRNA; Biomarker; circRNA; Bladder cancer
• ISSN: 1475-2867; 1475-2867
• DOI: 10.1186/s12935-020-1108-3

Circular RNAs (circRNAs) have received considerable attention in human cancer research. However, many circRNAs remain to be detected. In our study, we determined novel circRNAs and investigated their effects on bladder cancer (BCa). Microarray dataset GSE92675 was downloaded from Gene Expression Omnibus (GEO). Then, we combined computational biology with quantitative real-time polymerase chain reaction (qRT-PCR) to select related circRNAs in BCa. The selected circRNA-microRNA (miRNA)-messenger RNA (mRNA) regulatory subnetwork was determined by Gene Oncology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. The regulatory network constructed from the microarray dataset (GSE92675) contained 49 differentially expressed circRNAs (DECs). GO and KEGG analyses showed that the MAPK and PI3K-AKT signaling pathways were statistically significant. On the basis of qRT-PCR and the degree value calculated by the cytoHubba plugin of Cytoscape, hsa_circ_0011385 was finally confirmed. The subnetwork around hsa_circ_0011385 was constructed. In addition, we created a protein-protein interaction (PPI) network composed of 67 nodes and 274 edges after removing independent nodes. GO and KEGG analyses showed that hubgenes were involved in cell cycle activities. Moreover, they could be regulated by miRNAs and play an eventful role in BCa pathogenesis. We proposed a novel circRNA-miRNA-mRNA network related to BCa pathogenesis. This network might be a new molecular biomarker and could be used to develop potential treatment strategies for BCa.