Literature DB >> 27744325

Evaluation of predictors of unfavorable pathological features in men eligible for active surveillance using radical prostatectomy specimens: a multi-institutional study.

Kei Mizuno1, Takahiro Inoue2, Hidefumi Kinoshita3, Toshifumi Yano4, Hiroaki Kawanishi5, Hideki Kanda6, Naoki Terada2, Takashi Kobayashi2, Tomomi Kamba2, Yoshiki Mikami7, Taizo Shiraishi8, Yoshiko Uemura9, Yukihiro Imai10, Gen Honjo11, Tomoyuki Shirase12, Kazuhiro Okumura5, Mutsushi Kawakita4, Keiji Ogura1, Yoshiki Sugimura6, Tadashi Matsuda3, Osamu Ogawa13.   

Abstract

OBJECTIVE: Active surveillance has emerged as an alternative to immediate treatment in men with favorable-risk prostate cancer; however, consensus about defining the appropriate candidates is still lacking. To examine the factors predicting unfavorable pathology among active surveillance candidates, we assessed low-risk radical prostatectomy specimens.
METHODS: This retrospective study included 1753 men who had undergone radical prostatectomy at six independent institutions in Japan from 2005 to 2011. Patients who met the active surveillance criteria were categorized depending on the pathological features of the radical prostatectomy specimens. 'Reclassification' was defined as upstaging (≥pT3) or upgrading (radical prostatectomy Gleason score ≥7), and 'adverse pathology' was defined as pathological stage ≥pT3 or radical prostatectomy Gleason score ≥4 + 3. Multivariate analysis was used to analyze the preoperative factors for reclassification and adverse pathology. The rates of reclassification and adverse pathology were evaluated by classifying patients according to biopsy core numbers.
RESULTS: The active surveillance criteria were met by 284 cases. Reclassification was identified in 154 (54.2%) cases, while adverse pathology in 60 (21.1%) cases. Prostate-specific antigen density and percentage of positive cores were independently associated with reclassification and adverse pathology. The rates of reclassification and adverse pathology were significantly higher among patients with <10 biopsy cores than among others. Thus, focusing on 149 patients with ≥10 biopsy cores, prostate-specific antigen density was the only independent predictor of unfavorable pathological features. The receiver operating characteristic curve analysis determines an optimal cut-off value of prostate-specific antigen density as 0.15 ng/ml2.
CONCLUSIONS: Prostate-specific antigen density is the most important predictor of unfavorable pathological features in active surveillance candidates.
© The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  active surveillance; prostate cancer; prostate-specific antigen density

Mesh:

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Year:  2016        PMID: 27744325     DOI: 10.1093/jjco/hyw130

Source DB:  PubMed          Journal:  Jpn J Clin Oncol        ISSN: 0368-2811            Impact factor:   3.019


  4 in total

1.  Functional outcomes of robot-assisted radical prostatectomy in patients eligible for active surveillance.

Authors:  Marc Zanaty; Khaled Ajib; Kevin Zorn; Assaad El-Hakim
Journal:  World J Urol       Date:  2018-04-21       Impact factor: 4.226

2.  Selection Criteria for Active Surveillance of Patients with Prostate Cancer in Korea: A Multicenter Analysis of Pathology after Radical Prostatectomy.

Authors:  Chang Wook Jeong; Sung Kyu Hong; Seok Soo Byun; Seong Soo Jeon; Seong Il Seo; Hyun Moo Lee; Hanjong Ahn; Dong Deuk Kwon; Hong Koo Ha; Tae Gyun Kwon; Jae Seung Chung; Cheol Kwak; Hyung Jin Kim
Journal:  Cancer Res Treat       Date:  2017-04-14       Impact factor: 4.679

3.  Extent and predictors of grade upgrading and downgrading in an Australian cohort according to the new prostate cancer grade groupings.

Authors:  Kerri Beckmann; Michael O'Callaghan; Andrew Vincent; Penelope Cohen; Martin Borg; David Roder; Sue Evans; Jeremy Millar; Kim Moretti
Journal:  Asian J Urol       Date:  2019-03-07

Review 4.  Old men with prostate cancer have higher risk of Gleason score upgrading and pathological upstaging after initial diagnosis: a systematic review and meta-analysis.

Authors:  Xiaochuan Wang; Yu Zhang; Zhengguo Ji; Peiqian Yang; Ye Tian
Journal:  World J Surg Oncol       Date:  2021-01-20       Impact factor: 2.754

  4 in total

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