Curated microRNAs in urine and blood fail to validate as predictive biomarkers for high-risk prostate cancer.

<h4>Purpose</h4>The purpose of this study was to determine if microRNA profiling of urine and plasma at radical prostatectomy can distinguish potentially lethal from indolent prostate cancer.<h4>Materials and methods</h4>A panel of microRNAs was profiled in the plasma of 70 p...

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Autores principales:	Nikhil Sapre, Matthew K H Hong, Geoff Macintyre, Heather Lewis, Adam Kowalczyk, Anthony J Costello, Niall M Corcoran, Christopher M Hovens
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2014
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/fc3fb7597ee44c4986adddbe3b14bec3
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spelling	oai:doaj.org-article:fc3fb7597ee44c4986adddbe3b14bec32021-11-18T08:24:54ZCurated microRNAs in urine and blood fail to validate as predictive biomarkers for high-risk prostate cancer.1932-620310.1371/journal.pone.0091729https://doaj.org/article/fc3fb7597ee44c4986adddbe3b14bec32014-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24705338/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Purpose</h4>The purpose of this study was to determine if microRNA profiling of urine and plasma at radical prostatectomy can distinguish potentially lethal from indolent prostate cancer.<h4>Materials and methods</h4>A panel of microRNAs was profiled in the plasma of 70 patients and the urine of 33 patients collected prior to radical prostatectomy. Expression of microRNAs was correlated to the clinical endpoints at a follow-up time of 3.9 years to identify microRNAs that may predict clinical response after radical prostatectomy. A machine learning approach was applied to test the predictive ability of all microRNAs profiled in urine, plasma, and a combination of both, and global performance assessed using the area under the receiver operator characteristic curve (AUC). Validation of urinary expression of miRNAs was performed on a further independent cohort of 36 patients.<h4>Results</h4>The best predictor in plasma using eight miRs yielded only moderate predictive performance (AUC = 0.62). The best predictor of high-risk disease was achieved using miR-16, miR-21 and miR-222 measured in urine (AUC = 0.75). This combination of three microRNAs in urine was a better predictor of high-risk disease than any individual microRNA. Using a different methodology we found that this set of miRNAs was unable to predict high-volume, high-grade disease.<h4>Conclusions</h4>Our initial findings suggested that plasma and urinary profiling of microRNAs at radical prostatectomy may allow prognostication of prostate cancer behaviour. However we found that the microRNA expression signature failed to validate in an independent cohort of patients using a different platform for PCR. This highlights the need for independent validation patient cohorts and suggests that urinary microRNA signatures at radical prostatectomy may not be a robust way to predict the course of clinical disease after definitive treatment for prostate cancer.Nikhil SapreMatthew K H HongGeoff MacintyreHeather LewisAdam KowalczykAnthony J CostelloNiall M CorcoranChristopher M HovensPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 4, p e91729 (2014)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Nikhil Sapre Matthew K H Hong Geoff Macintyre Heather Lewis Adam Kowalczyk Anthony J Costello Niall M Corcoran Christopher M Hovens Curated microRNAs in urine and blood fail to validate as predictive biomarkers for high-risk prostate cancer.
description	<h4>Purpose</h4>The purpose of this study was to determine if microRNA profiling of urine and plasma at radical prostatectomy can distinguish potentially lethal from indolent prostate cancer.<h4>Materials and methods</h4>A panel of microRNAs was profiled in the plasma of 70 patients and the urine of 33 patients collected prior to radical prostatectomy. Expression of microRNAs was correlated to the clinical endpoints at a follow-up time of 3.9 years to identify microRNAs that may predict clinical response after radical prostatectomy. A machine learning approach was applied to test the predictive ability of all microRNAs profiled in urine, plasma, and a combination of both, and global performance assessed using the area under the receiver operator characteristic curve (AUC). Validation of urinary expression of miRNAs was performed on a further independent cohort of 36 patients.<h4>Results</h4>The best predictor in plasma using eight miRs yielded only moderate predictive performance (AUC = 0.62). The best predictor of high-risk disease was achieved using miR-16, miR-21 and miR-222 measured in urine (AUC = 0.75). This combination of three microRNAs in urine was a better predictor of high-risk disease than any individual microRNA. Using a different methodology we found that this set of miRNAs was unable to predict high-volume, high-grade disease.<h4>Conclusions</h4>Our initial findings suggested that plasma and urinary profiling of microRNAs at radical prostatectomy may allow prognostication of prostate cancer behaviour. However we found that the microRNA expression signature failed to validate in an independent cohort of patients using a different platform for PCR. This highlights the need for independent validation patient cohorts and suggests that urinary microRNA signatures at radical prostatectomy may not be a robust way to predict the course of clinical disease after definitive treatment for prostate cancer.
format	article
author	Nikhil Sapre Matthew K H Hong Geoff Macintyre Heather Lewis Adam Kowalczyk Anthony J Costello Niall M Corcoran Christopher M Hovens
author_facet	Nikhil Sapre Matthew K H Hong Geoff Macintyre Heather Lewis Adam Kowalczyk Anthony J Costello Niall M Corcoran Christopher M Hovens
author_sort	Nikhil Sapre
title	Curated microRNAs in urine and blood fail to validate as predictive biomarkers for high-risk prostate cancer.
title_short	Curated microRNAs in urine and blood fail to validate as predictive biomarkers for high-risk prostate cancer.
title_full	Curated microRNAs in urine and blood fail to validate as predictive biomarkers for high-risk prostate cancer.
title_fullStr	Curated microRNAs in urine and blood fail to validate as predictive biomarkers for high-risk prostate cancer.
title_full_unstemmed	Curated microRNAs in urine and blood fail to validate as predictive biomarkers for high-risk prostate cancer.
title_sort	curated micrornas in urine and blood fail to validate as predictive biomarkers for high-risk prostate cancer.
publisher	Public Library of Science (PLoS)
publishDate	2014
url	https://doaj.org/article/fc3fb7597ee44c4986adddbe3b14bec3
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Curated microRNAs in urine and blood fail to validate as predictive biomarkers for high-risk prostate cancer.

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