Literature DB >> 25822705

Predictive role of free prostate-specific antigen in a prospective active surveillance program (PRIAS).

Hanna Vasarainen1, Jolanda Salman2, Heidi Salminen3, Riccardo Valdagni4, Tom Pickles5, Chris Bangma2, Monique J Roobol2, Antti Rannikko3.   

Abstract

PURPOSE: To evaluate the utility of percentage of free serum PSA (%fPSA) as a predictor of adverse rebiopsy findings, treatment change and radical prostatectomy (RP) findings in a prospective active surveillance (AS) trial.
METHODS: Patients enrolled in the global PRIAS study with baseline %fPSA available were included. Putative baseline predictors (e.g. PSA, %fPSA) of adverse rebiopsy findings were explored using logistic regression analysis. Association of variables with treatment change and RP findings over time were evaluated with Cox regression analysis. Active treatment-free survival was assessed with a Kaplan-Meier method.
RESULTS: Of 3701 patients recruited to PRIAS, 939 had %fPSA measured at study entry. Four hundred and thirty-eight of them had %fPSA available after 1 year. Median follow-up was 17.2 months. First rebiopsy results were available for 595 patients and of those, 144 (24.2 %) had adverse findings. A total of 283 (30.1 %) patients discontinued surveillance, of those 181 (64.0 %) due to protocol-based reasons. Although median %fPSA values were significantly lower in patients who changed treatment, according to the multivariate regression analysis, initial %fPSA value was not predictive for treatment change or adverse rebiopsy findings. However, the probability of discontinuing AS was significantly lower in patients with "favourable" initial %fPSA characteristics and %fPSA during follow-up (initial %fPSA ≥15 and positive %fPSA velocity) compared to those with "adverse" %fPSA characteristics (initial %fPSA <15 and negative %fPSA velocity).
CONCLUSIONS: Diagnostic %fPSA provides no additional prognostic value when compared to other predictors already in use in AS protocols. However, %fPSA velocity during surveillance may aid in predicting the probability for future treatment change.

Entities:  

Keywords:  Active surveillance; Free prostate-specific antigen; Prostate cancer; Prostate-specific antigen

Mesh:

Substances:

Year:  2015        PMID: 25822705     DOI: 10.1007/s00345-015-1542-3

Source DB:  PubMed          Journal:  World J Urol        ISSN: 0724-4983            Impact factor:   4.226


  27 in total

1.  Prospective validation of active surveillance in prostate cancer: the PRIAS study.

Authors:  Roderick C N van den Bergh; Stijn Roemeling; Monique J Roobol; Wouter Roobol; Fritz H Schröder; Chris H Bangma
Journal:  Eur Urol       Date:  2007-05-25       Impact factor: 20.096

2.  The proportion of free PSA and upgrading of biopsy Gleason score after radical prostatectomy.

Authors:  Harri Visapää; Kristina Hotakainen; Johan Lundin; Martti Ala-Opas; Ulf-Håkan Stenman
Journal:  Urol Int       Date:  2010-03-17       Impact factor: 2.089

3.  Free/total PSA ratio can help in the prediction of high gleason score prostate cancer in men with total serum prostate specific antigen (PSA) of 3-10 ng/ml.

Authors:  Ahmed A Elabbady; Mahrousa M Khedr
Journal:  Int Urol Nephrol       Date:  2006       Impact factor: 2.370

4.  Risk stratification and validation of prostate specific antigen density as independent predictor of progression in men with low risk prostate cancer during active surveillance.

Authors:  Ignacio F San Francisco; Lillian Werner; Meredith M Regan; Marc B Garnick; Glenn Bubley; William C DeWolf
Journal:  J Urol       Date:  2010-12-17       Impact factor: 7.450

5.  Comparison of percent free PSA, PSA density, and age-specific PSA cutoffs for prostate cancer detection and staging.

Authors:  W J Catalona; P C Southwick; K M Slawin; A W Partin; M K Brawer; R C Flanigan; A Patel; J P Richie; P C Walsh; P T Scardino; P H Lange; G H Gasior; K G Loveland; K R Bray
Journal:  Urology       Date:  2000-08-01       Impact factor: 2.649

6.  Active surveillance program for prostate cancer: an update of the Johns Hopkins experience.

Authors:  Jeffrey J Tosoian; Bruce J Trock; Patricia Landis; Zhaoyong Feng; Jonathan I Epstein; Alan W Partin; Patrick C Walsh; H Ballentine Carter
Journal:  J Clin Oncol       Date:  2011-04-04       Impact factor: 44.544

7.  Prostate specific antigen velocity risk count predicts biopsy reclassification for men with very low risk prostate cancer.

Authors:  Hiten D Patel; Zhaoyong Feng; Patricia Landis; Bruce J Trock; Jonathan I Epstein; H Ballentine Carter
Journal:  J Urol       Date:  2013-09-20       Impact factor: 7.450

8.  Clinical results of long-term follow-up of a large, active surveillance cohort with localized prostate cancer.

Authors:  Laurence Klotz; Liying Zhang; Adam Lam; Robert Nam; Alexandre Mamedov; Andrew Loblaw
Journal:  J Clin Oncol       Date:  2009-11-16       Impact factor: 44.544

9.  Evaluation of percentage of free serum prostate-specific antigen to improve specificity of prostate cancer screening.

Authors:  W J Catalona; D S Smith; R L Wolfert; T J Wang; H G Rittenhouse; T L Ratliff; R B Nadler
Journal:  JAMA       Date:  1995-10-18       Impact factor: 56.272

10.  Prostate-specific antigen (PSA) kinetics in untreated, localized prostate cancer: PSA velocity vs PSA doubling time.

Authors:  Michael K Ng; Nicholas Van As; Karen Thomas; Ruth Woode-Amissah; Alan Horwich; Robert Huddart; Vincent Khoo; Alan Thompson; David Dearnaley; Chris Parker
Journal:  BJU Int       Date:  2008-10-16       Impact factor: 5.588

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Authors:  Matteo Ferro; Carlo Buonerba; Daniela Terracciano; Giuseppe Lucarelli; Vincenzo Cosimato; Danilo Bottero; Victor M Deliu; Pasquale Ditonno; Sisto Perdonà; Riccardo Autorino; Ioman Coman; Sabino De Placido; Giuseppe Di Lorenzo; Ottavio De Cobelli
Journal:  Future Oncol       Date:  2016-01-15       Impact factor: 3.404

2.  Influence of age on seven putative prostate tumor markers: a cohort study in Chinese men.

Authors:  Wei-Gui Sun; Chao-Zhao Liang; Qi-Chuan Zheng; Xiao-Wu Hu; Zhi-Zhen Li; Ping Wu
Journal:  Asian J Androl       Date:  2017 Jul-Aug       Impact factor: 3.285

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