Title |
Urine miRNA as a potential biomarker for bladder cancer detection – a meta-analysis
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Published in |
Central European Journal of Urology, January 2018
|
DOI | 10.5173/ceju.2018.1605 |
Pubmed ID | |
Authors |
Piotr Kutwin, Tomasz Konecki, Edyta Marta Borkowska, Magdalena Traczyk-Borszyńska, Zbigniew Jabłonowski |
Abstract |
White light cystoscopy (WLC), often supported by urine cytology, is considered the 'goldstandard' in the diagnosis and follow-up of bladder cancer (BCa). In recent years, urine microRNA (miRNA) tests have been performed for the detection of bladder cancer. A systematic review of the PubMed platform was performed by searching for articles in which miRNA in the urine was used for the detection of BCa. The greatest sensitivity (86.6%) in BCa detection was achieved for multi-miRNA in urine sediment. The greatest specificity (85.3%) was achieved for multi-miRNA from voided urine. There were significant differences (p <0.01) between single-miRNA (OR 8.96; CI 6.37-12.59) and the multi-miRNA group (OR 19.95; CI 13.35-29.81). There were no differences among the specimens (voided urine, supernatant, sediment) used for the test. Urine miRNAs have the potential to be a valid marker for bladder cancer detection. They can successfully compete with other non-invasive diagnostic tests. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 46 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 17% |
Student > Master | 7 | 15% |
Student > Bachelor | 6 | 13% |
Other | 4 | 9% |
Student > Postgraduate | 4 | 9% |
Other | 7 | 15% |
Unknown | 10 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 12 | 26% |
Biochemistry, Genetics and Molecular Biology | 6 | 13% |
Environmental Science | 3 | 7% |
Chemical Engineering | 1 | 2% |
Veterinary Science and Veterinary Medicine | 1 | 2% |
Other | 7 | 15% |
Unknown | 16 | 35% |