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Prostate Health Index (Phi) and Prostate Cancer Antigen 3 (PCA3) Significantly Improve Prostate Cancer Detection at Initial Biopsy in a Total PSA Range of 2–10 ng/ml

Many efforts to reduce prostate specific antigen (PSA) overdiagnosis and overtreatment have been made. To this aim, Prostate Health Index (Phi) and Prostate Cancer Antigen 3 (PCA3) have been proposed as new more specific biomarkers. We evaluated the ability of phi and PCA3 to identify prostate cance...

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Autores principales: Ferro, Matteo, Bruzzese, Dario, Perdonà, Sisto, Marino, Ada, Mazzarella, Claudia, Perruolo, Giuseppe, D’Esposito, Vittoria, Cosimato, Vincenzo, Buonerba, Carlo, Di Lorenzo, Giuseppe, Musi, Gennaro, De Cobelli, Ottavio, Chun, Felix K., Terracciano, Daniela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3701535/
https://www.ncbi.nlm.nih.gov/pubmed/23861782
http://dx.doi.org/10.1371/journal.pone.0067687
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author Ferro, Matteo
Bruzzese, Dario
Perdonà, Sisto
Marino, Ada
Mazzarella, Claudia
Perruolo, Giuseppe
D’Esposito, Vittoria
Cosimato, Vincenzo
Buonerba, Carlo
Di Lorenzo, Giuseppe
Musi, Gennaro
De Cobelli, Ottavio
Chun, Felix K.
Terracciano, Daniela
author_facet Ferro, Matteo
Bruzzese, Dario
Perdonà, Sisto
Marino, Ada
Mazzarella, Claudia
Perruolo, Giuseppe
D’Esposito, Vittoria
Cosimato, Vincenzo
Buonerba, Carlo
Di Lorenzo, Giuseppe
Musi, Gennaro
De Cobelli, Ottavio
Chun, Felix K.
Terracciano, Daniela
author_sort Ferro, Matteo
collection PubMed
description Many efforts to reduce prostate specific antigen (PSA) overdiagnosis and overtreatment have been made. To this aim, Prostate Health Index (Phi) and Prostate Cancer Antigen 3 (PCA3) have been proposed as new more specific biomarkers. We evaluated the ability of phi and PCA3 to identify prostate cancer (PCa) at initial prostate biopsy in men with total PSA range of 2–10 ng/ml. The performance of phi and PCA3 were evaluated in 300 patients undergoing first prostate biopsy. ROC curve analyses tested the accuracy (AUC) of phi and PCA3 in predicting PCa. Decision curve analyses (DCA) were used to compare the clinical benefit of the two biomarkers. We found that the AUC value of phi (0.77) was comparable to those of %p2PSA (0.76) and PCA3 (0.73) with no significant differences in pairwise comparison (%p2PSA vs phi p = 0.673, %p2PSA vs. PCA3 p = 0.417 and phi vs. PCA3 p = 0.247). These three biomarkers significantly outperformed fPSA (AUC = 0.60), % fPSA (AUC = 0.62) and p2PSA (AUC = 0.63). At DCA, phi and PCA3 exhibited a very close net benefit profile until the threshold probability of 25%, then phi index showed higher net benefit than PCA3. Multivariable analysis showed that the addition of phi and PCA3 to the base multivariable model (age, PSA, %fPSA, DRE, prostate volume) increased predictive accuracy, whereas no model improved single biomarker performance. Finally we showed that subjects with active surveillance (AS) compatible cancer had significantly lower phi and PCA3 values (p<0.001 and p = 0.01, respectively). In conclusion, both phi and PCA3 comparably increase the accuracy in predicting the presence of PCa in total PSA range 2–10 ng/ml at initial biopsy, outperforming currently used %fPSA.
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spelling pubmed-37015352013-07-16 Prostate Health Index (Phi) and Prostate Cancer Antigen 3 (PCA3) Significantly Improve Prostate Cancer Detection at Initial Biopsy in a Total PSA Range of 2–10 ng/ml Ferro, Matteo Bruzzese, Dario Perdonà, Sisto Marino, Ada Mazzarella, Claudia Perruolo, Giuseppe D’Esposito, Vittoria Cosimato, Vincenzo Buonerba, Carlo Di Lorenzo, Giuseppe Musi, Gennaro De Cobelli, Ottavio Chun, Felix K. Terracciano, Daniela PLoS One Research Article Many efforts to reduce prostate specific antigen (PSA) overdiagnosis and overtreatment have been made. To this aim, Prostate Health Index (Phi) and Prostate Cancer Antigen 3 (PCA3) have been proposed as new more specific biomarkers. We evaluated the ability of phi and PCA3 to identify prostate cancer (PCa) at initial prostate biopsy in men with total PSA range of 2–10 ng/ml. The performance of phi and PCA3 were evaluated in 300 patients undergoing first prostate biopsy. ROC curve analyses tested the accuracy (AUC) of phi and PCA3 in predicting PCa. Decision curve analyses (DCA) were used to compare the clinical benefit of the two biomarkers. We found that the AUC value of phi (0.77) was comparable to those of %p2PSA (0.76) and PCA3 (0.73) with no significant differences in pairwise comparison (%p2PSA vs phi p = 0.673, %p2PSA vs. PCA3 p = 0.417 and phi vs. PCA3 p = 0.247). These three biomarkers significantly outperformed fPSA (AUC = 0.60), % fPSA (AUC = 0.62) and p2PSA (AUC = 0.63). At DCA, phi and PCA3 exhibited a very close net benefit profile until the threshold probability of 25%, then phi index showed higher net benefit than PCA3. Multivariable analysis showed that the addition of phi and PCA3 to the base multivariable model (age, PSA, %fPSA, DRE, prostate volume) increased predictive accuracy, whereas no model improved single biomarker performance. Finally we showed that subjects with active surveillance (AS) compatible cancer had significantly lower phi and PCA3 values (p<0.001 and p = 0.01, respectively). In conclusion, both phi and PCA3 comparably increase the accuracy in predicting the presence of PCa in total PSA range 2–10 ng/ml at initial biopsy, outperforming currently used %fPSA. Public Library of Science 2013-07-04 /pmc/articles/PMC3701535/ /pubmed/23861782 http://dx.doi.org/10.1371/journal.pone.0067687 Text en © 2013 Ferro et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Ferro, Matteo
Bruzzese, Dario
Perdonà, Sisto
Marino, Ada
Mazzarella, Claudia
Perruolo, Giuseppe
D’Esposito, Vittoria
Cosimato, Vincenzo
Buonerba, Carlo
Di Lorenzo, Giuseppe
Musi, Gennaro
De Cobelli, Ottavio
Chun, Felix K.
Terracciano, Daniela
Prostate Health Index (Phi) and Prostate Cancer Antigen 3 (PCA3) Significantly Improve Prostate Cancer Detection at Initial Biopsy in a Total PSA Range of 2–10 ng/ml
title Prostate Health Index (Phi) and Prostate Cancer Antigen 3 (PCA3) Significantly Improve Prostate Cancer Detection at Initial Biopsy in a Total PSA Range of 2–10 ng/ml
title_full Prostate Health Index (Phi) and Prostate Cancer Antigen 3 (PCA3) Significantly Improve Prostate Cancer Detection at Initial Biopsy in a Total PSA Range of 2–10 ng/ml
title_fullStr Prostate Health Index (Phi) and Prostate Cancer Antigen 3 (PCA3) Significantly Improve Prostate Cancer Detection at Initial Biopsy in a Total PSA Range of 2–10 ng/ml
title_full_unstemmed Prostate Health Index (Phi) and Prostate Cancer Antigen 3 (PCA3) Significantly Improve Prostate Cancer Detection at Initial Biopsy in a Total PSA Range of 2–10 ng/ml
title_short Prostate Health Index (Phi) and Prostate Cancer Antigen 3 (PCA3) Significantly Improve Prostate Cancer Detection at Initial Biopsy in a Total PSA Range of 2–10 ng/ml
title_sort prostate health index (phi) and prostate cancer antigen 3 (pca3) significantly improve prostate cancer detection at initial biopsy in a total psa range of 2–10 ng/ml
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3701535/
https://www.ncbi.nlm.nih.gov/pubmed/23861782
http://dx.doi.org/10.1371/journal.pone.0067687
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