Literature DB >> 27140065

Standardizing the definition of adverse pathology for lower risk men undergoing radical prostatectomy.

Michael A Kozminski1, Scott Tomlins2, Adam Cole1, Udit Singhal1, Louis Lu1, Ted A Skolarus3, Ganesh S Palapattu1, Jeffrey S Montgomery1, Alon Z Weizer1, Rohit Mehra2, Brent K Hollenbeck1, David C Miller1, Chang He1, Felix Y Feng4, Todd M Morgan5.   

Abstract

PURPOSE: Numerous definitions of adverse pathology at radical prostatectomy (RP) have been proposed and implemented for both research and clinical care, and there is tremendous variation in the specific criteria used to define adverse pathology in these settings. Given the current landscape in which magnetic resonance imaging criteria and biomarker cutoffs are validated for disparate adverse pathology definitions, we sought to identify which of these is most closely tied to biochemical recurrence (BCR) after RP.
MATERIALS AND METHODS: A total of 2,837 patients who underwent RP at a single institution for localized prostate cancer (PCa) were included. We evaluated the following existing definitions of adverse pathology at RP: (1) Gleason score ≥7, (2) primary Gleason pattern ≥4, (3) Gleason score ≥7 or pathologic stage T3-4, (4) pathologic stage T3-4, (5) primary Gleason pattern ≥4 or pathologic stage T3-4. The primary outcome measure was BCR. Multiple statistical techniques were used to assess BCR prediction.
RESULTS: Of the 5 definitions assessed, 1 (primary Gleason pattern ≥4 or pathologic stage T3-4, 540 patients [19% of cohort]) consistently outperformed the other definitions across all statistical measures. Additionally, a total of only 13 (6.6%) and 34 (10.3%) men with very-low-risk and low-risk cancer per National Comprehensive Cancer Network guideline, respectively, met this definition of adverse pathology at the time of RP.
CONCLUSIONS: Varying definitions of adverse pathology differ in their prognostic performance. The criteria defined by either primary Gleason pattern ≥4 or pT3-4 disease appears to most accurately predict BCR in this subset of patients with lower risk PCa at the time of diagnosis. Additionally, men with very-low-risk or low-risk PCa per National Comprehensive Cancer Network guidelines are relatively unlikely to have adverse pathology at the time of surgical resection. These data may help inform the use of imaging and molecular markers as well as the intensity of surveillance in men with newly diagnosed PCa.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biochemical recurrence; Biomarkers; Prostate cancer

Mesh:

Substances:

Year:  2016        PMID: 27140065     DOI: 10.1016/j.urolonc.2016.03.019

Source DB:  PubMed          Journal:  Urol Oncol        ISSN: 1078-1439            Impact factor:   3.498


  6 in total

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Authors:  Adrian J Waisman Malaret; Peter Chang; Kehao Zhu; Yingye Zheng; Lisa F Newcomb; Menghan Liu; Jesse K McKenney; James D Brooks; Peter Carroll; Atreya Dash; Christopher P Filson; Martin E Gleave; Michael Liss; Frances M Martin; Todd M Morgan; Peter S Nelson; Daniel W Lin; Andrew A Wagner
Journal:  J Urol       Date:  2021-12-02       Impact factor: 7.450

2.  A novel serum biomarker quintet reveals added prognostic value when combined with standard clinical parameters in prostate cancer patients by predicting biochemical recurrence and adverse pathology.

Authors:  Alcibiade Athanasiou; Pierre Tennstedt; Anja Wittig; Ramy Huber; Oliver Straub; Ralph Schiess; Thomas Steuber
Journal:  PLoS One       Date:  2021-11-12       Impact factor: 3.240

3.  The role of N-cadherin/c-Jun/NDRG1 axis in the progression of prostate cancer.

Authors:  Yongjun Quan; Xiaodong Zhang; William Butler; Zhen Du; Mingdong Wang; Yuexin Liu; Hao Ping
Journal:  Int J Biol Sci       Date:  2021-07-25       Impact factor: 6.580

4.  Multiparametric Magnetic Resonance Imaging Grades the Aggressiveness of Prostate Cancer.

Authors:  Juan Morote; Angel Borque-Fernando; Marina Triquell; Anna Celma; Lucas Regis; Richard Mast; Inés M de Torres; María E Semidey; Anna Santamaría; Jacques Planas; Luis M Esteban; Enrique Trilla
Journal:  Cancers (Basel)       Date:  2022-04-05       Impact factor: 6.639

5.  Histone lysine methylation patterns in prostate cancer microenvironment infiltration: Integrated bioinformatic analysis and histological validation.

Authors:  Yongjun Quan; Xiaodong Zhang; Mingdong Wang; Hao Ping
Journal:  Front Oncol       Date:  2022-09-28       Impact factor: 5.738

6.  Construction of a risk prediction model using m6A RNA methylation regulators in prostate cancer: comprehensive bioinformatic analysis and histological validation.

Authors:  Yongjun Quan; Xiaodong Zhang; Hao Ping
Journal:  Cancer Cell Int       Date:  2022-01-19       Impact factor: 5.722

  6 in total

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