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
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