Literature DB >> 22542564

Predicting prostate biopsy outcome: prostate health index (phi) and prostate cancer antigen 3 (PCA3) are useful biomarkers.

Matteo Ferro1, Dario Bruzzese, Sisto Perdonà, Claudia Mazzarella, Ada Marino, Alessandra Sorrentino, Angelina Di Carlo, Riccardo Autorino, Giuseppe Di Lorenzo, Carlo Buonerba, Vincenzo Altieri, Angela Mariano, Vincenzo Macchia, Daniela Terracciano.   

Abstract

Indication for prostate biopsy is presently mainly based on prostate-specific antigen (PSA) serum levels and digital-rectal examination (DRE). In view of the unsatisfactory accuracy of these two diagnostic exams, research has focused on novel markers to improve pre-biopsy prostate cancer detection, such as phi and PCA3. The purpose of this prospective study was to assess the diagnostic accuracy of phi and PCA3 for prostate cancer using biopsy as gold standard. Phi index (Beckman coulter immunoassay), PCA3 score (Progensa PCA3 assay) and other established biomarkers (tPSA, fPSA and %fPSA) were assessed before a 18-core prostate biopsy in a group of 251 subjects at their first biopsy. Values of %p2PSA and phi were significantly higher in patients with PCa compared with PCa-negative group (p<0.001) and also compared with high grade prostatic intraepithelial neoplasia (HGPIN) (p<0.001). PCA3 score values were significantly higher in PCa compared with PCa-negative subjects (p<0.001) and in HGPIN vs PCa-negative patients (p<0.001). ROC curve analysis showed that %p2PSA, phi and PCA3 are predictive of malignancy. In conclusion, %p2PSA, phi and PCA3 may predict a diagnosis of PCa in men undergoing their first prostate biopsy. PCA3 score is more useful in discriminating between HGPIN and non-cancer.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22542564     DOI: 10.1016/j.cca.2012.04.017

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  15 in total

Review 1.  Artificial neural networks and prostate cancer--tools for diagnosis and management.

Authors:  Xinhai Hu; Henning Cammann; Hellmuth-A Meyer; Kurt Miller; Klaus Jung; Carsten Stephan
Journal:  Nat Rev Urol       Date:  2013-02-12       Impact factor: 14.432

Review 2.  Next-generation prostate-specific antigen test: precursor form of prostate-specific antigen.

Authors:  Kazuto Ito; Yuji Fujizuka; Kiyohide Ishikura; Bernard Cook
Journal:  Int J Clin Oncol       Date:  2014-08-20       Impact factor: 3.402

Review 3.  The emerging role of obesity, diet and lipid metabolism in prostate cancer.

Authors:  Matteo Ferro; Daniela Terracciano; Carlo Buonerba; Giuseppe Lucarelli; Danilo Bottero; Sisto Perdonà; Riccardo Autorino; Alessandro Serino; Francesco Cantiello; Rocco Damiano; Iulia Andras; Sabino De Placido; Giuseppe Di Lorenzo; Michele Battaglia; Barbara A Jereczek-Fossa; Vincenzo Mirone; Ottavio De Cobelli
Journal:  Future Oncol       Date:  2016-09-14       Impact factor: 3.404

Review 4.  PCA3 in the detection and management of early prostate cancer.

Authors:  Xavier Filella; Laura Foj; Montserrat Milà; Josep M Augé; Rafael Molina; Wladimiro Jiménez
Journal:  Tumour Biol       Date:  2013-03-16

5.  PCA3 and PCA3-based nomograms improve diagnostic accuracy in patients undergoing first prostate biopsy.

Authors:  Alain Ruffion; Marian Devonec; Denis Champetier; Myriam Decaussin-Petrucci; Claire Rodriguez-Lafrasse; Philippe Paparel; Paul Perrin; Virginie Vlaeminck-Guillem
Journal:  Int J Mol Sci       Date:  2013-08-29       Impact factor: 5.923

Review 6.  Clinical use of [-2]proPSA (p2PSA) and its derivatives (%p2PSA and Prostate Health Index) for the detection of prostate cancer: a review of the literature.

Authors:  Alberto Abrate; Giovanni Lughezzani; Giulio Maria Gadda; Giuliana Lista; Ella Kinzikeeva; Nicola Fossati; Alessandro Larcher; Paolo Dell'Oglio; Francesco Mistretta; Nicolòmaria Buffi; Giorgio Guazzoni; Massimo Lazzeri
Journal:  Korean J Urol       Date:  2014-07-11

7.  Diagnostic ability of %p2PSA and prostate health index for aggressive prostate cancer: a meta-analysis.

Authors:  Wenying Wang; Meilin Wang; Li Wang; Tamara S Adams; Ye Tian; Jianfeng Xu
Journal:  Sci Rep       Date:  2014-05-23       Impact factor: 4.379

8.  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.

Authors:  Matteo Ferro; Dario Bruzzese; Sisto Perdonà; Ada Marino; Claudia Mazzarella; Giuseppe Perruolo; Vittoria D'Esposito; Vincenzo Cosimato; Carlo Buonerba; Giuseppe Di Lorenzo; Gennaro Musi; Ottavio De Cobelli; Felix K Chun; Daniela Terracciano
Journal:  PLoS One       Date:  2013-07-04       Impact factor: 3.240

9.  Comparative evaluation of urinary PCA3 and TMPRSS2: ERG scores and serum PHI in predicting prostate cancer aggressiveness.

Authors:  Lucile Tallon; Devillier Luangphakdy; Alain Ruffion; Marc Colombel; Marian Devonec; Denis Champetier; Philippe Paparel; Myriam Decaussin-Petrucci; Paul Perrin; Virginie Vlaeminck-Guillem
Journal:  Int J Mol Sci       Date:  2014-07-30       Impact factor: 5.923

10.  Prostate-Specific Antigen (PSA) Screening and New Biomarkers for Prostate Cancer (PCa).

Authors:  Carsten Stephan; Harry Rittenhouse; Xinhai Hu; Henning Cammann; Klaus Jung
Journal:  EJIFCC       Date:  2014-04-28
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