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Identification of circulating miRNAs as novel prognostic biomarkers for bladder cancer

1 Department of Urology, The Affiliated Wenling Hospital of Wenzhou Medical University, Wenling 317500, China
2 Department of Urology, Zhejiang Rongjun Hospital, Jiaxing 314000, China

Special Issues: Advanced Big Data Analysis for Precision Medicine

MicroRNAs (miRNAs) are a type of ncRNAs with 18–25 nucleotides in length and reported to play crucial roles in human cancers. Bladder cancer is one of the most common causes of cancer-related death. The discovery of new early biomarkers for BC may improve the patients' response to the treatment thus obtaining higher outcomes. The present study identified 7 miRNAs were up-regulated in bladder serum cancer samples compared to normal samples, including hsa-miR-185-5p, hsa-miR-663a, hsa-miR-30c-5p, hsa-miR-3648, hsa-miR-1270, hsa-miR-200c-3p, and hsa-miR-29c-5p. The dysregulation of these miRNAs were correlated to advanced stage and overall survival time in bladder cancer patients. Moreover, we identified a predictive model to predict the prognosis of bladder cancer. Kaplan-Meier survival curve analyses showed that bladder cancer patients with high-risk scores had significantly worse overall survival time than bladder patients with lower risk scores. Furthermore, we constructed a miRNA-mRNA regulating network. Bioinformatics analysis showed these miRNAs were involved in regulating sarcomere organization, positive regulation of multicellular organism growth, phosphorylation, phosphatidylinositol-mediated signaling, and peroxisome proliferator activated receptor signaling pathway. We thought this study could provide novel noninvasive early biomarkers for bladder cancer.
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Keywords miRNA; bladder cancer; biomarkers; bioinformatics analysis; expression profiling

Citation: Guobing Lin, Cunming Zhang, Xuanyu Chen, Junwei Wang, Song Chen, Siyuan Tang, Tianqiang Yu. Identification of circulating miRNAs as novel prognostic biomarkers for bladder cancer. Mathematical Biosciences and Engineering, 2020, 17(1): 834-844. doi: 10.3934/mbe.2020044


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