Literature DB >> 23159452

Active surveillance for low-risk prostate cancer worldwide: the PRIAS study.

Meelan Bul1, Xiaoye Zhu, Riccardo Valdagni, Tom Pickles, Yoshiyuki Kakehi, Antti Rannikko, Anders Bjartell, Deric K van der Schoot, Erik B Cornel, Giario N Conti, Egbert R Boevé, Frédéric Staerman, Jenneke J Vis-Maters, Henk Vergunst, Joris J Jaspars, Petra Strölin, Erik van Muilekom, Fritz H Schröder, Chris H Bangma, Monique J Roobol.   

Abstract

BACKGROUND: Overdiagnosis and subsequent overtreatment are important side effects of screening for, and early detection of, prostate cancer (PCa). Active surveillance (AS) is of growing interest as an alternative to radical treatment of low-risk PCa.
OBJECTIVE: To update our experience in the largest worldwide prospective AS cohort. DESIGN, SETTING, AND PARTICIPANTS: Eligible patients had clinical stage T1/T2 PCa, prostate-specific antigen (PSA) ≤ 10 ng/ml, PSA density <0.2 ng/ml per milliliter, one or two positive biopsy cores, and Gleason score ≤ 6. PSA was measured every 3-6 mo, and volume-based repeat biopsies were scheduled after 1, 4, and 7 yr. Reclassification was defined as more than two positive cores or Gleason >6 at repeat biopsy. Recommendation for treatment was triggered in case of PSA doubling time <3 yr or reclassification. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Multivariate regression analysis was used to evaluate predictors for reclassification at repeat biopsy. Active therapy-free survival (ATFS) was assessed with a Kaplan-Meier analysis, and Cox regression was used to evaluate the association of clinical characteristics with active therapy over time. RESULTS AND LIMITATIONS: In total, 2494 patients were included and followed for a median of 1.6 yr. One or more repeat biopsies were performed in 1480 men, of whom 415 men (28%) showed reclassification. Compliance with the first repeat biopsy was estimated to be 81%. During follow-up, 527 patients (21.1%) underwent active therapy. ATFS at 2 yr was 77.3%. The strongest predictors for reclassification and switching to deferred treatment were the number of positive cores (two cores compared with one core) and PSA density. The disease-specific survival rate was 100%. Follow-up was too short to draw definitive conclusions about the safety of AS.
CONCLUSIONS: Our short-term data support AS as a feasible strategy to reduce overtreatment. Clinical characteristics and PSA kinetics during follow-up can be used for risk stratification. Strict monitoring is even more essential in men with high-risk features to enable timely recognition of potentially aggressive disease and offer curative intervention. Limitations of using surrogate end points and markers in AS should be recognized. TRIAL REGISTRATION: The current program is registered at the Dutch Trial Register with ID NTR1718 (http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=1718).
Copyright © 2012 European Association of Urology. Published by Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 23159452     DOI: 10.1016/j.eururo.2012.11.005

Source DB:  PubMed          Journal:  Eur Urol        ISSN: 0302-2838            Impact factor:   20.096


  153 in total

1.  [Patterns of care of patients with localized prostate cancer in Germany: a health care study with focus on active surveillance].

Authors:  F K H Chun; A Becker; L A Kluth; D Seiler; D Schnell; M Fisch; M Graefen; L Weissbach
Journal:  Urologe A       Date:  2015-01       Impact factor: 0.639

2.  Can nomograms improve our ability to select candidates for active surveillance for prostate cancer?

Authors:  V Iremashvili; M Manoharan; D J Parekh; S Punnen
Journal:  Prostate Cancer Prostatic Dis       Date:  2016-07-19       Impact factor: 5.554

3.  Surveillance biopsy and active treatment during active surveillance for low-risk prostate cancer.

Authors:  Katsuyoshi Hashine; Hiroyuki Iio; Yoshiteru Ueno; Shohei Tsukimori; Iku Ninomiya
Journal:  Int J Clin Oncol       Date:  2013-06-22       Impact factor: 3.402

4.  Variation in Guideline Concordant Active Surveillance Followup in Diverse Urology Practices.

Authors:  Amy N Luckenbaugh; Gregory B Auffenberg; Scott R Hawken; Apoorv Dhir; Susan Linsell; Sanjeev Kaul; David C Miller
Journal:  J Urol       Date:  2016-09-20       Impact factor: 7.450

Review 5.  Active surveillance for low-risk prostate cancer.

Authors:  Laurence Klotz
Journal:  Curr Urol Rep       Date:  2015-04       Impact factor: 3.092

6.  Men's Eating and Living (MEAL) study (CALGB 70807 [Alliance]): recruitment feasibility and baseline demographics of a randomized trial of diet in men on active surveillance for prostate cancer.

Authors:  J Kellogg Parsons; John P Pierce; James Mohler; Electra Paskett; Sin-Ho Jung; Michael J Morris; Eric Small; Olwen Hahn; Peter Humphrey; John Taylor; James Marshall
Journal:  BJU Int       Date:  2017-05-21       Impact factor: 5.588

Review 7.  Timing of curative treatment for prostate cancer: a systematic review.

Authors:  Roderick C N van den Bergh; Peter C Albertsen; Chris H Bangma; Stephen J Freedland; Markus Graefen; Andrew Vickers; Henk G van der Poel
Journal:  Eur Urol       Date:  2013-02-22       Impact factor: 20.096

Review 8.  Enhancing active surveillance of prostate cancer: the potential of exercise medicine.

Authors:  Daniel A Galvão; Dennis R Taaffe; Nigel Spry; Robert A Gardiner; Renea Taylor; Gail P Risbridger; Mark Frydenberg; Michelle Hill; Suzanne K Chambers; Phillip Stricker; Tom Shannon; Dickon Hayne; Eva Zopf; Robert U Newton
Journal:  Nat Rev Urol       Date:  2016-03-08       Impact factor: 14.432

Review 9.  Active surveillance for prostate cancer: current evidence and contemporary state of practice.

Authors:  Jeffrey J Tosoian; H Ballentine Carter; Abbey Lepor; Stacy Loeb
Journal:  Nat Rev Urol       Date:  2016-03-08       Impact factor: 14.432

10.  Validation of Selection Criteria for Active Surveillance in Prostate Cancer.

Authors:  Saif Elamin; Nikita Rajiv Bhatt; Niall F Davis; Paul Sweeney
Journal:  J Clin Diagn Res       Date:  2016-04-01
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