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Genome-wide identification of urinary cell-free microRNAs for non-invasive detection of bladder cancer
J. Juracek, B. Peltanova, J. Dolezel, M. Fedorko, D. Pacik, L. Radova, P. Vesela, M. Svoboda, O. Slaby, M. Stanik,
Language English Country Great Britain
Document type Journal Article, Research Support, Non-U.S. Gov't
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    PubMed
          
           29363887
           
          
          
    DOI
          
           10.1111/jcmm.13487
           
          
          
  
    Knihovny.cz E-resources
    
  
              
      
- MeSH
- Genome-Wide Association Study MeSH
- Adult MeSH
- Genome, Human MeSH
- Carcinoma diagnosis genetics pathology urine MeSH
- Middle Aged MeSH
- Humans MeSH
- MicroRNAs genetics urine MeSH
- Biomarkers, Tumor genetics urine MeSH
- Urinary Bladder Neoplasms diagnosis genetics pathology urine MeSH
- Prospective Studies MeSH
- Gene Expression Regulation, Neoplastic * MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Case-Control Studies MeSH
- Neoplasm Grading MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
Urinary microRNAs (miRNAs) are emerging as clinically useful tool for early and non-invasive detection of various types of cancer including bladder cancer (BCA). In this study, 205 patients with BCA and 99 healthy controls were prospectively enrolled. Expression profiles of urinary miRNAs were obtained using Affymetrix miRNA microarrays (2578 miRNAs) and candidate miRNAs further validated in independent cohorts using qRT-PCR. Whole-genome profiling identified 76 miRNAs with significantly different concentrations in urine of BCA compared to controls (P < 0.01). In the training and independent validation phase of the study, miR-31-5p, miR-93-5p and miR-191-5p were confirmed to have significantly higher levels in urine of patients with BCA in comparison with controls (P < 0.01). We further established 2-miRNA-based urinary DxScore (miR-93-5p, miR-31-5p) enabling sensitive BCA detection with AUC being 0.84 and 0.81 in the training and validation phase, respectively. Moreover, DxScore significantly differed in the various histopathological subgroups of BCA and decreased post-operatively. In conclusion, we identified and independently validated cell-free urinary miRNAs as promising biomarkers enabling non-invasive detection of BCA.
Central European Institute of Technology Masaryk University Brno Czech Republic
Department of Comprehensive Cancer Care Masaryk Memorial Cancer Institute Brno Czech Republic
Department of Urologic Oncology Masaryk Memorial Cancer Institute Brno Czech Republic
Department of Urology University Hospital Brno Masaryk University Brno Brno Czech Republic
References provided by Crossref.org
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