Literature DB >> 27799510

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

Rochelle Payne Ondracek1, Michael W Kattan1, Christine Murekeyisoni1,1, Changhong Yu1, Eric C Kauffman1,1,1, James R Marshall1, James L Mohler1,1.   

Abstract

BACKGROUND: The Kattan postoperative radical prostatectomy (RP) nomogram is used to predict biochemical recurrence-free progression (BCRFP) after RP. However, external validation among contemporary patients using modern outcome definitions is limited.
METHODS: A total of 1,931 patients who underwent RP at Roswell Park Cancer Institute (RPCI) between 1993 and 2014 (median follow-up, 47 months; range, 0-244 months) were assessed for NCCN-defined biochemical failure (BF) and RPCI-defined treatment failure (TF). Actual rates of biochemical failure-free survival (BFS; defined as 1 - BF) and treatment failure-free survival (TFS; defined as 1 - TF) were compared with Kattan BCRFP nomogram predictions.
RESULTS: The Kattan BCRFP nomogram predictions at 5 and 10 years were predictive of BFS (area under the receiver operating characteristic curve [AUC], 0.772) and TFS (AUC, 0.774). The Kattan BCRFP nomogram tended to underestimate BFS and TFS compared with actual outcomes. The Kattan 5-year BCRFP predictions consistently overestimated actual 5-year BFS outcomes among subgroups of high- and intermediate-risk patients with at least 5-year outcomes.
CONCLUSIONS: The Kattan BCRFP nomogram is a robust predictor of NCCN-defined BF in a large sample of patients with RP with substantial follow-up and modern, standardized failure definitions.
Copyright © 2016 by the National Comprehensive Cancer Network.

Entities:  

Mesh:

Year:  2016        PMID: 27799510      PMCID: PMC5874800          DOI: 10.6004/jnccn.2016.0149

Source DB:  PubMed          Journal:  J Natl Compr Canc Netw        ISSN: 1540-1405            Impact factor:   11.908


  19 in total

1.  Guideline for the management of clinically localized prostate cancer: 2007 update.

Authors:  Ian Thompson; James Brantley Thrasher; Gunnar Aus; Arthur L Burnett; Edith D Canby-Hagino; Michael S Cookson; Anthony V D'Amico; Roger R Dmochowski; David T Eton; Jeffrey D Forman; S Larry Goldenberg; Javier Hernandez; Celestia S Higano; Stephen R Kraus; Judd W Moul; Catherine M Tangen
Journal:  J Urol       Date:  2007-06       Impact factor: 7.450

Review 2.  Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors.

Authors:  F E Harrell; K L Lee; D B Mark
Journal:  Stat Med       Date:  1996-02-28       Impact factor: 2.373

3.  Validation study of the accuracy of a postoperative nomogram for recurrence after radical prostatectomy for localized prostate cancer.

Authors:  Markus Graefen; Pierre I Karakiewicz; Ilias Cagiannos; Eric Klein; Patrick A Kupelian; David I Quinn; Susan M Henshall; John J Grygiel; Robert L Sutherland; Phillip D Stricker; Jean de Kernion; Thomas Cangiano; Fritz H Schröder; Mark F Wildhagen; Peter T Scardino; Michael W Kattan
Journal:  J Clin Oncol       Date:  2002-02-15       Impact factor: 44.544

4.  Combination of prostate-specific antigen, clinical stage, and Gleason score to predict pathological stage of localized prostate cancer. A multi-institutional update.

Authors:  A W Partin; M W Kattan; E N Subong; P C Walsh; K J Wojno; J E Oesterling; P T Scardino; J D Pearson
Journal:  JAMA       Date:  1997-05-14       Impact factor: 56.272

5.  New concepts concerning prostate cancer screening.

Authors:  Rebecca A Fillmore; Chinatsu Kojima; Chevaun Johnson; Georgina Kolcun; Lawrence J Dangott; Warren E Zimmer
Journal:  Exp Biol Med (Maywood)       Date:  2014-06-13

6.  Postoperative nomogram for disease recurrence after radical prostatectomy for prostate cancer.

Authors:  M W Kattan; T M Wheeler; P T Scardino
Journal:  J Clin Oncol       Date:  1999-05       Impact factor: 44.544

7.  Inaccuracies in assignment of clinical stage for localized prostate cancer.

Authors:  Adam C Reese; Natalia Sadetsky; Peter R Carroll; Matthew R Cooperberg
Journal:  Cancer       Date:  2010-11-22       Impact factor: 6.860

8.  Radical prostatectomy nomograms in black American men: accuracy and applicability.

Authors:  Fernando J Bianco; Michael W Kattan; Peter T Scardino; Isaac J Powell; J Edson Pontes; David P Wood
Journal:  J Urol       Date:  2003-07       Impact factor: 7.450

9.  The evolving biology and treatment of prostate cancer.

Authors:  Russel S Taichman; Robert D Loberg; Rohit Mehra; Kenneth J Pienta
Journal:  J Clin Invest       Date:  2007-09       Impact factor: 14.808

10.  Impact of international variation of prostate cancer on a predictive nomogram for biochemical recurrence in clinically localised prostate cancer.

Authors:  Yong Mee Cho; Soo Jin Jung; Namhoon Cho; Min-Ju Kim; Michael W Kattan; Changhong Yu; Hanjong Ahn; Jae Y Ro
Journal:  World J Urol       Date:  2013-06-14       Impact factor: 4.226

View more
  8 in total

1.  Validation of an MRI-based prostate cancer prebiopsy Gleason score predictive nomogram.

Authors:  Adrianna Jiaying Lee; Amelia Wnorowski; Nancy Ye; Linhan Xu; Michael Naslund; Bradford J Wood; Maria J Merino; Baris Turkbey; Peter L Choyke; Peter A Pinto; M Minhaj Siddiqui
Journal:  Curr Urol       Date:  2021-12-06

Review 2.  Molecular imaging of prostate cancer.

Authors:  Anne Marie Boustani; Darko Pucar; Lawrence Saperstein
Journal:  Br J Radiol       Date:  2018-02-01       Impact factor: 3.039

3.  Validation of American Joint Committee on Cancer eighth staging system among prostate cancer patients treated with radical prostatectomy.

Authors:  Omar Abdel-Rahman
Journal:  Ther Adv Urol       Date:  2017-11-08

4.  Predicting Cancer-Specific Survival Among Patients With Prostate Cancer After Radical Prostatectomy Based on the Competing Risk Model: Population-Based Study.

Authors:  Xianghong Zhou; Shi Qiu; Kun Jin; Qiming Yuan; Di Jin; Zilong Zhang; Xiaonan Zheng; Jiakun Li; Qiang Wei; Lu Yang
Journal:  Front Surg       Date:  2021-11-26

5.  m6A Methylation Regulators Are Predictive Biomarkers for Tumour Metastasis in Prostate Cancer.

Authors:  Yingchun Liang; Xiaohua Zhang; Chenkai Ma; Jimeng Hu
Journal:  Cancers (Basel)       Date:  2022-08-21       Impact factor: 6.575

6.  High expression of SLCO2B1 is associated with prostate cancer recurrence after radical prostatectomy.

Authors:  Tomoaki Terakawa; Eriko Katsuta; Li Yan; Nitesh Turaga; Kerry-Ann McDonald; Masato Fujisawa; Khurshid A Guru; Kazuaki Takabe
Journal:  Oncotarget       Date:  2018-02-08

Review 7.  RNAs as Candidate Diagnostic and Prognostic Markers of Prostate Cancer-From Cell Line Models to Liquid Biopsies.

Authors:  Marvin C J Lim; Anne-Marie Baird; John Aird; John Greene; Dhruv Kapoor; Steven G Gray; Ray McDermott; Stephen P Finn
Journal:  Diagnostics (Basel)       Date:  2018-08-30

Review 8.  Advancement and properties of circular RNAs in prostate cancer: An emerging and compelling frontier for discovering.

Authors:  Hong Zhou; Xu-Dong Zheng; Chang-Ming Lin; Jie Min; Shuang Hu; Ying Hu; Liang-Yun Li; Jia-Si Chen; Yu-Min Liu; Hao-Dong Li; Xiao-Ming Meng; Jun Li; Ya-Ru Yang; Tao Xu
Journal:  Int J Biol Sci       Date:  2021-01-19       Impact factor: 6.580

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.