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Optimizing the clinical utility of PCA3 to diagnose prostate cancer in initial prostate biopsy
BACKGROUND: PCA3 has been included in a nomogram outperforming previous clinical models for the prediction of any prostate cancer (PCa) and high grade PCa (HGPCa) at the initial prostate biopsy (IBx). Our objective is to validate such IBx-specific PCA3-based nomogram. We also aim to optimize the use...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4567811/ https://www.ncbi.nlm.nih.gov/pubmed/26362197 http://dx.doi.org/10.1186/s12885-015-1623-0 |
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author | Rubio-Briones, Jose Borque, Angel Esteban, Luis M. Casanova, Juan Fernandez-Serra, Antonio Rubio, Luis Casanova-Salas, Irene Sanz, Gerardo Domínguez-Escrig, Jose Collado, Argimiro Gómez-Ferrer, Alvaro Iborra, Inmaculada Ramírez-Backhaus, Miguel Martínez, Francisco Calatrava, Ana Lopez-Guerrero, Jose A. |
author_facet | Rubio-Briones, Jose Borque, Angel Esteban, Luis M. Casanova, Juan Fernandez-Serra, Antonio Rubio, Luis Casanova-Salas, Irene Sanz, Gerardo Domínguez-Escrig, Jose Collado, Argimiro Gómez-Ferrer, Alvaro Iborra, Inmaculada Ramírez-Backhaus, Miguel Martínez, Francisco Calatrava, Ana Lopez-Guerrero, Jose A. |
author_sort | Rubio-Briones, Jose |
collection | PubMed |
description | BACKGROUND: PCA3 has been included in a nomogram outperforming previous clinical models for the prediction of any prostate cancer (PCa) and high grade PCa (HGPCa) at the initial prostate biopsy (IBx). Our objective is to validate such IBx-specific PCA3-based nomogram. We also aim to optimize the use of this nomogram in clinical practice through the definition of risk groups. METHODS: Independent external validation. Clinical and biopsy data from a contemporary cohort of 401 men with the same inclusion criteria to those used to build up the reference’s nomogram in IBx. The predictive value of the nomogram was assessed by means of calibration curves and discrimination ability through the area under the curve (AUC). Clinical utility of the nomogram was analyzed by choosing thresholds points that minimize the overlapping between probability density functions (PDF) in PCa and no PCa and HGPCa and no HGPCa groups, and net benefit was assessed by decision curves. RESULTS: We detect 28 % of PCa and 11 % of HGPCa in IBx, contrasting to the 46 and 20 % at the reference series. Due to this, there is an overestimation of the nomogram probabilities shown in the calibration curve for PCa. The AUC values are 0.736 for PCa (C.I.95 %:0.68–0.79) and 0.786 for HGPCa (C.I.95 %:0.71–0.87) showing an adequate discrimination ability. PDF show differences in the distributions of nomogram probabilities in PCa and not PCa patient groups. A minimization of the overlapping between these curves confirms the threshold probability of harboring PCa >30 % proposed by Hansen is useful to indicate a IBx, but a cut-off > 40 % could be better in series of opportunistic screening like ours. Similar results appear in HGPCa analysis. The decision curve also shows a net benefit of 6.31 % for the threshold probability of 40 %. CONCLUSIONS: PCA3 is an useful tool to select patients for IBx. Patients with a calculated probability of having PCa over 40 % should be counseled to undergo an IBx if opportunistic screening is required. |
format | Online Article Text |
id | pubmed-4567811 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-45678112015-09-13 Optimizing the clinical utility of PCA3 to diagnose prostate cancer in initial prostate biopsy Rubio-Briones, Jose Borque, Angel Esteban, Luis M. Casanova, Juan Fernandez-Serra, Antonio Rubio, Luis Casanova-Salas, Irene Sanz, Gerardo Domínguez-Escrig, Jose Collado, Argimiro Gómez-Ferrer, Alvaro Iborra, Inmaculada Ramírez-Backhaus, Miguel Martínez, Francisco Calatrava, Ana Lopez-Guerrero, Jose A. BMC Cancer Research Article BACKGROUND: PCA3 has been included in a nomogram outperforming previous clinical models for the prediction of any prostate cancer (PCa) and high grade PCa (HGPCa) at the initial prostate biopsy (IBx). Our objective is to validate such IBx-specific PCA3-based nomogram. We also aim to optimize the use of this nomogram in clinical practice through the definition of risk groups. METHODS: Independent external validation. Clinical and biopsy data from a contemporary cohort of 401 men with the same inclusion criteria to those used to build up the reference’s nomogram in IBx. The predictive value of the nomogram was assessed by means of calibration curves and discrimination ability through the area under the curve (AUC). Clinical utility of the nomogram was analyzed by choosing thresholds points that minimize the overlapping between probability density functions (PDF) in PCa and no PCa and HGPCa and no HGPCa groups, and net benefit was assessed by decision curves. RESULTS: We detect 28 % of PCa and 11 % of HGPCa in IBx, contrasting to the 46 and 20 % at the reference series. Due to this, there is an overestimation of the nomogram probabilities shown in the calibration curve for PCa. The AUC values are 0.736 for PCa (C.I.95 %:0.68–0.79) and 0.786 for HGPCa (C.I.95 %:0.71–0.87) showing an adequate discrimination ability. PDF show differences in the distributions of nomogram probabilities in PCa and not PCa patient groups. A minimization of the overlapping between these curves confirms the threshold probability of harboring PCa >30 % proposed by Hansen is useful to indicate a IBx, but a cut-off > 40 % could be better in series of opportunistic screening like ours. Similar results appear in HGPCa analysis. The decision curve also shows a net benefit of 6.31 % for the threshold probability of 40 %. CONCLUSIONS: PCA3 is an useful tool to select patients for IBx. Patients with a calculated probability of having PCa over 40 % should be counseled to undergo an IBx if opportunistic screening is required. BioMed Central 2015-09-11 /pmc/articles/PMC4567811/ /pubmed/26362197 http://dx.doi.org/10.1186/s12885-015-1623-0 Text en © Rubio-Briones et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Rubio-Briones, Jose Borque, Angel Esteban, Luis M. Casanova, Juan Fernandez-Serra, Antonio Rubio, Luis Casanova-Salas, Irene Sanz, Gerardo Domínguez-Escrig, Jose Collado, Argimiro Gómez-Ferrer, Alvaro Iborra, Inmaculada Ramírez-Backhaus, Miguel Martínez, Francisco Calatrava, Ana Lopez-Guerrero, Jose A. Optimizing the clinical utility of PCA3 to diagnose prostate cancer in initial prostate biopsy |
title | Optimizing the clinical utility of PCA3 to diagnose prostate cancer in initial prostate biopsy |
title_full | Optimizing the clinical utility of PCA3 to diagnose prostate cancer in initial prostate biopsy |
title_fullStr | Optimizing the clinical utility of PCA3 to diagnose prostate cancer in initial prostate biopsy |
title_full_unstemmed | Optimizing the clinical utility of PCA3 to diagnose prostate cancer in initial prostate biopsy |
title_short | Optimizing the clinical utility of PCA3 to diagnose prostate cancer in initial prostate biopsy |
title_sort | optimizing the clinical utility of pca3 to diagnose prostate cancer in initial prostate biopsy |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4567811/ https://www.ncbi.nlm.nih.gov/pubmed/26362197 http://dx.doi.org/10.1186/s12885-015-1623-0 |
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