Literature DB >> 21210472

Inaccuracies in assignment of clinical stage for localized prostate cancer.

Adam C Reese1, Natalia Sadetsky, Peter R Carroll, Matthew R Cooperberg.   

Abstract

BACKGROUND: Recent data have suggested that clinical T stage is not independently associated with biochemical recurrence of localized prostate cancer after radical prostatectomy. One explanation for this lack of predictive power may be the inaccurate application of staging criteria.
METHODS: Data from men in the Cancer of the Prostate Strategic Urologic Research Endeavor (CaPSURE) database with localized prostate cancer (clinical T1-T2) were analyzed. Correct stage was determined by digital rectal examination (DRE) and transrectal ultrasound (TRUS) findings and was compared with the clinical stage reported directly by the practitioner. DRE/TRUS findings and biopsy results were evaluated to determine factors influencing staging errors. The ability of corrected stage to predict biochemical disease recurrence after prostatectomy was assessed using multivariable analysis.
RESULTS: Clinical stage was assigned incorrectly in 1370 of 3875 men (35.4%). Errors more commonly resulted in patient downstaging than upstaging (55.1% vs 44.9%; P < .001). Patients with TRUS lesions were more likely to be staged incorrectly than those with abnormal DRE findings (65.8% vs 38.2%; P < .001). Biopsy laterality was found to strongly influence stage assignment. Even after correction of staging errors, there was no association noted between clinical stage and biochemical disease recurrence after radical prostatectomy.
CONCLUSIONS: Errors in applying clinical staging criteria for localized prostate cancer are common. TRUS findings are frequently disregarded, and practitioners incorrectly incorporate biopsy results when assigning stage. However, staging errors do not appear to account for the inconsistent reliability of clinical stage in predicting prostate cancer outcomes. These findings further challenge the utility of a DRE-based and/or TRUS-based staging system for risk assessment of localized prostate cancer.
Copyright © 2010 American Cancer Society.

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Year:  2010        PMID: 21210472     DOI: 10.1002/cncr.25596

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  19 in total

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Journal:  Nat Rev Urol       Date:  2014-05-13       Impact factor: 14.432

2.  Validation of the Kattan Nomogram for Prostate Cancer Recurrence After Radical Prostatectomy.

Authors:  Rochelle Payne Ondracek; Michael W Kattan; Christine Murekeyisoni; Changhong Yu; Eric C Kauffman; James R Marshall; James L Mohler
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Review 3.  Salvage Therapy Options for Local Prostate Cancer Recurrence After Primary Radiotherapy: a Literature Review.

Authors:  Nicole M Golbari; Aaron E Katz
Journal:  Curr Urol Rep       Date:  2017-08       Impact factor: 3.092

4.  Clinical annotations for prostate cancer research: Defining data elements, creating a reproducible analytical pipeline, and assessing data quality.

Authors:  Niamh M Keegan; Samantha E Vasselman; Ethan S Barnett; Barbara Nweji; Emily A Carbone; Alexander Blum; Michael J Morris; Dana E Rathkopf; Susan F Slovin; Daniel C Danila; Karen A Autio; Howard I Scher; Philip W Kantoff; Wassim Abida; Konrad H Stopsack
Journal:  Prostate       Date:  2022-05-10       Impact factor: 4.012

5.  Is clinical stage T2c prostate cancer an intermediate- or high-risk disease?

Authors:  Zachary Klaassen; Abhay A Singh; Lauren E Howard; Zhaoyong Feng; Bruce Trock; Martha K Terris; William J Aronson; Matthew R Cooperberg; Christopher L Amling; Christopher J Kane; Alan Partin; Misop Han; Stephen J Freedland
Journal:  Cancer       Date:  2014-12-09       Impact factor: 6.860

Review 6.  Current status of radical prostatectomy for high-risk prostate cancer.

Authors:  Ho Won Kang; Joo Yong Lee; Jong Kyou Kwon; Seong Uk Jeh; Hae Do Jung; Young Deuk Choi
Journal:  Korean J Urol       Date:  2014-10-10

7.  Role of robot-assisted radical prostatectomy in the management of high-risk prostate cancer.

Authors:  Akshay Sood; Wooju Jeong; Deepansh Dalela; Dane E Klett; Firas Abdollah; Jesse D Sammon; Mani Menon; Mahendra Bhandari
Journal:  Indian J Urol       Date:  2014-10

8.  The impact of body mass index on treatment outcomes for patients with low-intermediate risk prostate cancer.

Authors:  Kosj Yamoah; Charnita M Zeigler-Johnson; Abra Jeffers; Bruce Malkowicz; Elaine Spangler; Jong Y Park; Alice Whittemore; Timothy R Rebbeck
Journal:  BMC Cancer       Date:  2016-07-29       Impact factor: 4.430

9.  Comparison of Multimodal Therapies and Outcomes Among Patients With High-Risk Prostate Cancer With Adverse Clinicopathologic Features.

Authors:  Amar U Kishan; R Jeffrey Karnes; Tahmineh Romero; Jessica K Wong; Giovanni Motterle; Jeffrey J Tosoian; Bruce J Trock; Eric A Klein; Bradley J Stish; Robert T Dess; Daniel E Spratt; Avinash Pilar; Chandana Reddy; Rebecca Levin-Epstein; Trude B Wedde; Wolfgang A Lilleby; Ryan Fiano; Gregory S Merrick; Richard G Stock; D Jeffrey Demanes; Brian J Moran; Michelle Braccioforte; Hartwig Huland; Phuoc T Tran; Santiago Martin; Rafael Martínez-Monge; Daniel J Krauss; Eyad I Abu-Isa; Ridwan Alam; Zeyad Schwen; Albert J Chang; Thomas M Pisansky; Richard Choo; Daniel Y Song; Stephen Greco; Curtiland Deville; Todd McNutt; Theodore L DeWeese; Ashley E Ross; Jay P Ciezki; Paul C Boutros; Nicholas G Nickols; Prashant Bhat; David Shabsovich; Jesus E Juarez; Natalie Chong; Patrick A Kupelian; Anthony V D'Amico; Matthew B Rettig; Alejandro Berlin; Jonathan D Tward; Brian J Davis; Robert E Reiter; Michael L Steinberg; David Elashoff; Eric M Horwitz; Rahul D Tendulkar; Derya Tilki
Journal:  JAMA Netw Open       Date:  2021-07-01

10.  Analysis of outcome following robotic assisted radical prostatectomy for patients with high risk prostate cancer as per D'Amico classification.

Authors:  Narmada Prasad Gupta; Anandan Murugesan; Anand Kumar; Rajiv Yadav
Journal:  Indian J Urol       Date:  2016 Apr-Jun
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