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. 2017 Oct 5;16(1):156.
doi: 10.1186/s12943-017-0726-4.

Identification of non-invasive miRNAs biomarkers for prostate cancer by deep sequencing analysis of urinary exosomes

Marta Rodríguez  1   2 , Cristina Bajo-Santos  3 , Nina P Hessvik  1   2 , Susanne Lorenz  4 , Bastian Fromm  4 , Viktor Berge  5 , Kirsten Sandvig  1   2   6 , Aija Linē  3 , Alicia Llorente  7   8
Affiliations

Identification of non-invasive miRNAs biomarkers for prostate cancer by deep sequencing analysis of urinary exosomes

Marta Rodríguez et al. Mol Cancer. .

Abstract

The aim of this study was to identify microRNAs in urinary exosomes that are differently expressed in prostate cancer patients and healthy donors. For this purpose, RNA was extracted from urinary exosomes from 20 prostate cancer patients and 9 healthy males and the microRNAs were analyzed by next generation sequencing. Interestingly, 5 microRNAs - miR-196a-5p, miR-34a-5p, miR-143-3p, miR-501-3p and miR-92a-1-5p - were significantly downregulated in exosomes from prostate cancer patients. Furthermore, RT-qPCR analysis of an independent cohort of 28 prostate cancer patients and 19 healthy males confirmed that miR-196a-5p and miR-501-3p were downregulated in prostate cancer samples. These results suggest that specific microRNAs in urinary exosomes might serve as non-invasive biomarkers for prostate cancer. In particular, miR-196a-5p and miR-501-3p are promising biomarkers that need to be further studied in large patient cohorts.

Keywords: Biomarkers; Exosomes; Extracellular vesicles; Microvesicles; Next-generation sequencing; Prostate cancer; Small RNA; Urine; microRNAs; noncodingRNA.

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Conflict of interest statement

Ethics approval and consent to participate

The collection of urine samples was approved by the Norwegian Regional Committees for Medical and Health Research Ethics and the participants gave informed written consent.

Competing interests

The authors declare that they have no competing interest.

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Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Figures

Fig. 1
Fig. 1
a. Pie chart showing the percentage of the reads mapped and unmapped to the genome. b. Top 10 highly expressed miRNAs in urinary exosomes. Amount (reads per million, RPM) of c. miR-196a-5p and d. miR-143-3p in 9 healthy controls and 20 PCa patients
Fig. 2
Fig. 2
RT-qPCR analysis of selected miRNAs. a. miR-196a-5p and b. miR-501-3p were analyzed in 19 healthy controls and 28 PCa patients. The data was normalized to the average of three reference genes (miR-10b-5p, let-7b-5p and U6 snRNA). *P < 0.05; **P < 0.01 versus control group. c, d. ROC curves for miR-196a-5p (AUC = 0.73, 95% CI 0.56 to 0.89) and miR-501-3p (AUC = 0.69, 95% CI 0.52 to 0.85). AUC, area under the curve; CI, confidence interval
See this image and copyright information in PMC

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