Literature DB >> 17222546

Tumour volume and high grade tumour volume are the best predictors of pathologic stage and biochemical recurrence after radical prostatectomy.

Felix K-H Chun1, Alberto Briganti, Claudio Jeldres, Andrea Gallina, Andreas Erbersdobler, Thorsten Schlomm, Jochen Walz, Christian Eichelberg, Georg Salomon, Alexander Haese, Eike Currlin, Sascha A Ahyai, François Bénard, Hartwig Huland, Markus Graefen, Pierre I Karakiewicz.   

Abstract

INTRODUCTION: Our goal was to examine to what extent tumour volume (TV) and percentage of high grade tumour volume (%HGTV) affect the rate of positive surgical margins and the rate of biochemical recurrence after radical prostatectomy.
MATERIALS AND METHODS: TV and %HGTV were routinely planimetrically quantified in a cohort of 780 consecutive patients. Mean follow-up was 46.7 months. Multivariable regression models addressed two separate endpoints: positive surgical margins and biochemical recurrence. The increase in model predictive accuracy related to the addition of TV and %HGTV to radical prostatectomy stage and grade was assessed, after 200 bootstrap resamples to reduce overfit bias.
RESULTS: In multivariable logistic regression models addressing positive surgical margins rate, predictive accuracy increased by 1.9% (p<0.001) when TV was added to other covariates. No further increment was noted when %HGTV was added (p=0.3). In multivariable Cox regression models addressing biochemical recurrence, accuracy increased by 0.6% (p=0.002) when TV was added and an additional increase of 0.7% was recorded when %HGTV (p<0.001) was added.
CONCLUSION: Tumour bulk reflected by TV affects local cancer control rate, which is reflected in the rate of positive surgical margins. Conversely, high grade cancer determines the rate of biochemical recurrence. These two variables represent the most powerful predictors of cancer control in men treated for localised prostate cancer. Moreover, they increase the ability of established predictors to predict the outcomes of interest. In consequence, they warrant consideration in future predictive and prognostic tools.

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Year:  2007        PMID: 17222546     DOI: 10.1016/j.ejca.2006.10.018

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  22 in total

1.  Tumor volume as a predictor of adverse pathologic features and biochemical recurrence (BCR) in radical prostatectomy specimens: a tale of two methods.

Authors:  Ian M Thompson; Shady Salem; Sam S Chang; Peter E Clark; Rodney Davis; S Duke Herrell; Yakup Kordan; Roxelyn Baumgartner; Sharon Phillips; Joseph A Smith; Michael S Cookson; Daniel A Barocas
Journal:  World J Urol       Date:  2010-11-16       Impact factor: 4.226

2.  Do tumor volume, percent tumor volume predict biochemical recurrence after radical prostatectomy? A meta-analysis.

Authors:  Yang Meng; He Li; Peng Xu; Jia Wang
Journal:  Int J Clin Exp Med       Date:  2015-12-15

3.  Percent tumor volume predicts biochemical recurrence after radical prostatectomy: multi-institutional data analysis.

Authors:  Cheryn Song; Seongil Seo; Hanjong Ahn; Seok-Soo Byun; Jin Seon Cho; Young Deuk Choi; Eunsik Lee; Hyun Moo Lee; Sang Eun Lee; Han Yong Choi
Journal:  Int J Clin Oncol       Date:  2011-08-05       Impact factor: 3.402

4.  The prognostic significance of percentage of tumour involvement according to disease risk group in men treated with radical prostatectomy.

Authors:  Jong Jin Oh; Sang Cheol Lee; Chang Wook Jeong; Cheol Yong Yoon; Seong Jin Jeong; Sung Kyu Hong; Seok-Soo Byun; Yoon Kwan Rho; Gheeyoung Choe; Sang Eun Lee
Journal:  Asian J Androl       Date:  2011-09-26       Impact factor: 3.285

5.  Maximum tumor diameter adjusted to the risk profile predicts biochemical recurrence after radical prostatectomy.

Authors:  Georg Müller; Malte Rieken; Gernot Bonkat; Joel Roman Gsponer; Tatjana Vlajnic; Christian Wetterauer; Thomas C Gasser; Stephen F Wyler; Alexander Bachmann; Lukas Bubendorf
Journal:  Virchows Arch       Date:  2014-08-17       Impact factor: 4.064

6.  Total intraglandular and index tumor volumes predict biochemical recurrence in prostate cancer.

Authors:  Su-Jin Shin; Cheol Keun Park; Sung Yoon Park; Won Sik Jang; Joo Yong Lee; Young Deuk Choi; Nam Hoon Cho
Journal:  Virchows Arch       Date:  2016-06-15       Impact factor: 4.064

7.  Efficacy of primary tumour volume as a predictor of survival compared with size alone in pancreatic ductal adenocarcinoma.

Authors:  Justin S Gundara; Anthony J Gill; Jaswinder S Samra
Journal:  Oncol Lett       Date:  2015-05-22       Impact factor: 2.967

8.  The association between tumour density and prostate cancer recurrence following radical prostatectomy.

Authors:  Luke T Lavallée; Rodney H Breau; Mark A Preston; Gayanna Raju; Christopher Morash; Steve Doucette; Ronald G Gerridzen; James Eastham; Ilias Cagiannos
Journal:  Can Urol Assoc J       Date:  2011-12       Impact factor: 1.862

Review 9.  Critical review of prostate cancer predictive tools.

Authors:  Shahrokh F Shariat; Michael W Kattan; Andrew J Vickers; Pierre I Karakiewicz; Peter T Scardino
Journal:  Future Oncol       Date:  2009-12       Impact factor: 3.404

10.  Tumor volume, tumor percentage involvement, or prostate volume: which is predictive of prostate-specific antigen recurrence?

Authors:  Matthew A Uhlman; Leon Sun; Danielle A Stackhouse; Arthur A Caire; Thomas J Polascik; Cary N Robertson; John Madden; Robin Vollmer; David M Albala; Judd W Moul
Journal:  Urology       Date:  2009-10-12       Impact factor: 2.649

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