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http://hdl.handle.net/2445/167964
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DC Field | Value | Language |
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dc.contributor.author | Connell, Shea P. | - |
dc.contributor.author | Hanna, Marcel | - |
dc.contributor.author | McCarthy, Frank | - |
dc.contributor.author | Hurst, Rachel | - |
dc.contributor.author | Webb, Martyn | - |
dc.contributor.author | Curley, Helen | - |
dc.contributor.author | Walker, Helen | - |
dc.contributor.author | Mills, Robert | - |
dc.contributor.author | Ball, Richard Y. | - |
dc.contributor.author | Sanda, Martin G. | - |
dc.contributor.author | Pellegrini, Kathryn L. | - |
dc.contributor.author | Patil, Dattatraya | - |
dc.contributor.author | Perry, Antoinette S. | - |
dc.contributor.author | Schalken, Jack A. | - |
dc.contributor.author | Pandha, Hardev | - |
dc.contributor.author | Whitaker, Hayley C. | - |
dc.contributor.author | Dennis, Nening | - |
dc.contributor.author | Stuttle, Christine | - |
dc.contributor.author | Mills, Ian G. | - |
dc.contributor.author | Guldvik, Ingrid | - |
dc.contributor.author | Movember GAP1 Urine Biomarker Consortium | - |
dc.contributor.author | Parker, Chris | - |
dc.contributor.author | Brewer, Daniel | - |
dc.contributor.author | Cooper, Colin | - |
dc.contributor.author | Clark, Jeremy | - |
dc.date.accessioned | 2020-07-07T11:51:00Z | - |
dc.date.available | 2020-07-07T11:51:00Z | - |
dc.date.issued | 2019-05-20 | - |
dc.identifier.issn | 1464-4096 | - |
dc.identifier.uri | http://hdl.handle.net/2445/167964 | - |
dc.description.abstract | Objectives: to develop a risk classifier using urine-derived extracellular vesicle RNA (UEV-RNA) capable of providing diagnostic information of disease status prior to biopsy, and prognostic information for men on active surveillance (AS). Patients and methods: post-digital rectal examination UEV-RNA expression profiles from urine (n = 535, multiple centres) were interrogated with a curated NanoString panel. A LASSO-based Continuation-Ratio model was built to generate four Prostate-Urine-Risk (PUR) signatures for predicting the probability of normal tissue (PUR-1), D'Amico Low-risk (PUR-2), Intermediate-risk (PUR-3), and High-risk (PUR-4) PCa. This model was applied to a test cohort (n = 177) for diagnostic evaluation, and to an AS sub-cohort (n = 87) for prognostic evaluation. Results: each PUR signature was significantly associated with its corresponding clinical category (p<0.001). PUR-4 status predicted the presence of clinically significant Intermediate or High-risk disease, AUC = 0.77 (95% CI: 0.70-0.84). Application of PUR provided a net benefit over current clinical practice. In an AS sub-cohort (n=87), groups defined by PUR status and proportion of PUR-4 had a significant association with time to progression (p<0.001; IQR HR = 2.86, 95% CI:1.83-4.47). PUR-4, when utilised continuously, dichotomised patient groups with differential progression rates of 10% and 60% five years post-urine collection (p<0.001, HR = 8.23, 95% CI:3.26-20.81). Conclusion: UEV-RNA can provide diagnostic information of aggressive PCa prior to biopsy, and prognostic information for men on AS. PUR represents a new & versatile biomarker that could result in substantial alterations to current treatment of PCa patients. This article is protected by copyright. All rights reserved. | - |
dc.format.extent | 12 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | Wiley | - |
dc.relation.isformatof | Versió postprint del document publicat a: https://doi.org/10.1111/bju.14811 | - |
dc.relation.ispartof | BJU International, 2019, vol. 124, num. 4, p. 609-620 | - |
dc.relation.uri | https://doi.org/10.1111/bju.14811 | - |
dc.rights | (c) BJU International, 2019 | - |
dc.source | Articles publicats en revistes (Patologia i Terapèutica Experimental) | - |
dc.subject.classification | Indicadors biològics | - |
dc.subject.classification | Biòpsia | - |
dc.subject.classification | Càncer de pròstata | - |
dc.subject.classification | Orina | - |
dc.subject.other | Indicators (Biology) | - |
dc.subject.other | Biopsy | - |
dc.subject.other | Prostate cancer | - |
dc.subject.other | Urine | - |
dc.title | A four-group urine risk classifier for predicting outcome in prostate cancer patients | - |
dc.type | info:eu-repo/semantics/article | - |
dc.type | info:eu-repo/semantics/acceptedVersion | - |
dc.identifier.idgrec | 698883 | - |
dc.date.updated | 2020-07-07T11:51:00Z | - |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | - |
dc.identifier.pmid | 31106513 | - |
Appears in Collections: | Articles publicats en revistes (Patologia i Terapèutica Experimental) |
Files in This Item:
File | Description | Size | Format | |
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698883.pdf | 950.67 kB | Adobe PDF | View/Open |
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