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http://hdl.handle.net/2445/168549
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DC Field | Value | Language |
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dc.contributor.author | Sequeiros, Tamara | - |
dc.contributor.author | Bastarós, Juan M. | - |
dc.contributor.author | Sánchez, Milagros | - |
dc.contributor.author | Rigau, Marina | - |
dc.contributor.author | Montes, Melania | - |
dc.contributor.author | Placer, José | - |
dc.contributor.author | Planas, Jacques | - |
dc.contributor.author | Torres, Inés de | - |
dc.contributor.author | Reventós Puigjaner, Jaume | - |
dc.contributor.author | Pegtel, D. Michiel | - |
dc.contributor.author | Doll, Andreas | - |
dc.contributor.author | Morote, Juan | - |
dc.contributor.author | Olivan Riera, Mireia | - |
dc.date.accessioned | 2020-07-14T08:26:39Z | - |
dc.date.available | 2020-07-14T08:26:39Z | - |
dc.date.issued | 2015-07-01 | - |
dc.identifier.issn | 0270-4137 | - |
dc.identifier.uri | http://hdl.handle.net/2445/168549 | - |
dc.description.abstract | Introduction: high-grade prostatic intraepithelial neoplasia (HGPIN) is a recognized precursor stage of PCa. Men who present HGPIN in a first prostate biopsy face years of active surveillance including repeat biopsies. This study aimed to identify non-invasive prognostic biomarkers that differentiate early on between indolent HGPIN cases and those that will transform into actual PCa. Methods: we measured the expression of 21 candidate mRNA biomarkers using quantitative PCR in urine sediment samples from a cohort of 90 patients with initial diagnosis of HGPIN and a posterior follow up of at least two years. Uni- and multivariate statistical analyses were applied to analyze the candidate biomarkers and multiplex models using combinations of these biomarkers. Results: PSMA, PCA3, PSGR, GOLM, KLK3, CDH1, and SPINK1 behavedas predictors for PCa presence in repeat biopsies. Multiplex models outperformed (AUC = 0.81-0.86) the predictive power of single genes, including the FDA-approved PCA3 (AUC = 0.70). With a fixed sensitivity of 95%, the specificity of our multiplex models was of 41-58%, compared to the 30% of PCA3. The PPV of our models (30-38%) was also higher than the PPV of PCA3 (27%), suggesting that benign cases could be more accurately identified. Applying statistical models, we estimated that 33% to 47% of repeat biopsies could be prevented with a multiplex PCR model, representing an easy applicable and significant advantage over the current gold standard in urine sediment. Discussion: using multiplex RTqPCR-based models in urine sediment it is possible to improve the current diagnostic method of choice (PCA3) to differentiate between benign HGPIN and PCa cases. | - |
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/10.1002/pros.22995 | - |
dc.relation.ispartof | Prostate, 2015, vol. 75, num. 10, p. 1102-1113 | - |
dc.relation.uri | https://doi.org/10.1002/pros.22995 | - |
dc.rights | (c) Wiley, 2015 | - |
dc.source | Articles publicats en revistes (Patologia i Terapèutica Experimental) | - |
dc.subject.classification | Indicadors biològics | - |
dc.subject.classification | Càncer | - |
dc.subject.classification | Orina | - |
dc.subject.other | Indicators (Biology) | - |
dc.subject.other | Cancer | - |
dc.subject.other | Urine | - |
dc.title | Urinary biomarkers for the detection of prostate cancer in patients with high-grade prostatic intraepithelial neoplasia | - |
dc.type | info:eu-repo/semantics/article | - |
dc.type | info:eu-repo/semantics/acceptedVersion | - |
dc.identifier.idgrec | 700407 | - |
dc.date.updated | 2020-07-14T08:26:40Z | - |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | - |
dc.identifier.pmid | 25845829 | - |
Appears in Collections: | Articles publicats en revistes (Patologia i Terapèutica Experimental) Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL)) |
Files in This Item:
File | Description | Size | Format | |
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700407.pdf | 538.43 kB | Adobe PDF | View/Open |
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