Identification of circulating miRNAs as novel prognostic biomarkers for bladder cancer
Autor: | Chen Xuanyu, Cun Ming Zhang, Chen Song, Junwei Wang, Guo Bing Lin, Tian Qiang Yu, Si Yuan Tang |
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Rok vydání: | 2020 |
Předmět: |
Oncology
Peroxisome proliferator-activated receptor Kaplan-Meier Estimate 02 engineering and technology 0202 electrical engineering electronic engineering information engineering Gene Regulatory Networks Phosphorylation Oligonucleotide Array Sequence Analysis chemistry.chemical_classification Applied Mathematics 05 social sciences General Medicine Prognosis Gene Expression Regulation Neoplastic Computational Mathematics expression profiling Modeling and Simulation bladder cancer 020201 artificial intelligence & image processing General Agricultural and Biological Sciences mirna Biotechnology Signal Transduction Risk bioinformatics analysis medicine.medical_specialty Multicellular organism growth Internal medicine 0502 economics and business microRNA QA1-939 Biomarkers Tumor medicine Humans Circulating MicroRNA Sarcomere organization Survival analysis Bladder cancer business.industry Gene Expression Profiling Liquid Biopsy biomarkers Computational Biology Cancer medicine.disease body regions Gene expression profiling Urinary Bladder Neoplasms chemistry business TP248.13-248.65 Mathematics 050203 business & management |
Zdroj: | Mathematical Biosciences and Engineering, Vol 17, Iss 1, Pp 834-844 (2020) |
ISSN: | 1551-0018 |
Popis: | 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. |
Databáze: | OpenAIRE |
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