Identification of a potentially functional circRNA–miRNA–mRNA regulatory network for investigating pathogenesis and providing possible biomarkers of bladder cancer
Abstract Background 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). Methods Microarray dataset GSE92675 was downloa...
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doaj-3775180f92984bea9a0dda7fc687e6242021-01-31T16:10:10ZengBMCCancer Cell International1475-28672020-01-0120111510.1186/s12935-020-1108-3Identification of a potentially functional circRNA–miRNA–mRNA regulatory network for investigating pathogenesis and providing possible biomarkers of bladder cancerHong-cheng Lu0Jia-qi Yao1Xiao Yang2Jie Han3Jing-zi Wang4Kun Xu5Rui Zhou6Hao Yu7Qiang Lv8Min Gu9Department of Urology, The First Affiliated Hospital of Nanjing Medical UniversityDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical UniversityDepartment of Urology, The First Affiliated Hospital of Nanjing Medical UniversityDepartment of Urology, The First Affiliated Hospital of Nanjing Medical UniversityDepartment of Urology, The First Affiliated Hospital of Nanjing Medical UniversityDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical UniversityDepartment of Urology, The First Affiliated Hospital of Nanjing Medical UniversityDepartment of Urology, The First Affiliated Hospital of Nanjing Medical UniversityDepartment of Urology, The First Affiliated Hospital of Nanjing Medical UniversityDepartment of Urology, The First Affiliated Hospital of Nanjing Medical UniversityAbstract Background 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). Methods 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. Results 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. Conclusions 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.https://doi.org/10.1186/s12935-020-1108-3Bladder cancercircRNAceRNABiomarker |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hong-cheng Lu Jia-qi Yao Xiao Yang Jie Han Jing-zi Wang Kun Xu Rui Zhou Hao Yu Qiang Lv Min Gu |
spellingShingle |
Hong-cheng Lu Jia-qi Yao Xiao Yang Jie Han Jing-zi Wang Kun Xu Rui Zhou Hao Yu Qiang Lv Min Gu Identification of a potentially functional circRNA–miRNA–mRNA regulatory network for investigating pathogenesis and providing possible biomarkers of bladder cancer Cancer Cell International Bladder cancer circRNA ceRNA Biomarker |
author_facet |
Hong-cheng Lu Jia-qi Yao Xiao Yang Jie Han Jing-zi Wang Kun Xu Rui Zhou Hao Yu Qiang Lv Min Gu |
author_sort |
Hong-cheng Lu |
title |
Identification of a potentially functional circRNA–miRNA–mRNA regulatory network for investigating pathogenesis and providing possible biomarkers of bladder cancer |
title_short |
Identification of a potentially functional circRNA–miRNA–mRNA regulatory network for investigating pathogenesis and providing possible biomarkers of bladder cancer |
title_full |
Identification of a potentially functional circRNA–miRNA–mRNA regulatory network for investigating pathogenesis and providing possible biomarkers of bladder cancer |
title_fullStr |
Identification of a potentially functional circRNA–miRNA–mRNA regulatory network for investigating pathogenesis and providing possible biomarkers of bladder cancer |
title_full_unstemmed |
Identification of a potentially functional circRNA–miRNA–mRNA regulatory network for investigating pathogenesis and providing possible biomarkers of bladder cancer |
title_sort |
identification of a potentially functional circrna–mirna–mrna regulatory network for investigating pathogenesis and providing possible biomarkers of bladder cancer |
publisher |
BMC |
series |
Cancer Cell International |
issn |
1475-2867 |
publishDate |
2020-01-01 |
description |
Abstract Background 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). Methods 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. Results 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. Conclusions 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. |
topic |
Bladder cancer circRNA ceRNA Biomarker |
url |
https://doi.org/10.1186/s12935-020-1108-3 |
work_keys_str_mv |
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