Literature DB >> 15365069

Impact of the percentage of positive prostate cores on prostate cancer-specific mortality for patients with low or favorable intermediate-risk disease.

Anthony V D'Amico1, Andrew A Renshaw, Kerri Cote, Mark Hurwitz, Clair Beard, Marian Loffredo, Ming-Hui Chen.   

Abstract

PURPOSE: We investigated whether pretreatment factors predicted time to prostate cancer-specific mortality (PCSM) after conventional-dose and conformal radiation therapy (CRT). PATIENTS AND METHODS: Between 1988 and 2002, 421 patients with low (prostate-specific antigen [PSA] level < or = 10 ng/mL and biopsy Gleason score < or = 6) or favorable intermediate-risk (PSA > 10 to 15 ng/mL or biopsy Gleason score 3 + 4, but not both factors) disease underwent CRT (median dose, 70.4 Gy). Cox regression multivariable analysis was performed to determine whether the PSA level, Gleason score, T category, or the percentage of positive cores (% PC) predicted time to PCSM after CRT. After a median follow-up of 4.5 years, 117 (28%) patients have died.
RESULTS: The % PC was the only significant predictor (Cox P < or =.03). The relative risk of PCSM after CRT for patients with > or = 50% as compared with less than 50% PC was 10.4 (95% CI, 1.2 to 87; Cox P =.03), 6.1 (95% CI, 1.3 to 28.6; Cox P =.02), and 12.5 (95% CI, 1.5 to 107; Cox P =.02) in men with a PSA < or = 10 and Gleason score < or = 6, PSA < or = 10 and Gleason score < or = 7, and PSA < or = 15 and Gleason score < or = 6, respectively. By 5 years after CRT, 5% to 9% compared with less than 1% (log-rank P < or =.01) of these patients experienced PCSM if they had > or = 50% compared with less than 50% PC, respectively.
CONCLUSION: CRT dose-escalation techniques, the addition of hormonal therapy, or both should be considered in the management of patients with low or favorable intermediate-risk disease and > or = 50% PC.

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Year:  2004        PMID: 15365069     DOI: 10.1200/JCO.2004.01.164

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  17 in total

1.  Comparison of mid-term carcinologic control obtained after open, laparoscopic, and robot-assisted radical prostatectomy for localized prostate cancer.

Authors:  Sarah J Drouin; Christophe Vaessen; Vincent Hupertan; Eva Comperat; Vincent Misraï; Alain Haertig; Marc-Olivier Bitker; Emmanuel Chartier-Kastler; François Richard; Morgan Rouprêt
Journal:  World J Urol       Date:  2009-05-07       Impact factor: 4.226

Review 2.  Current status of intensity-modulated radiation therapy (IMRT).

Authors:  Kazuo Hatano; Hitoshi Araki; Mitsuhiro Sakai; Takashi Kodama; Naoki Tohyama; Tohru Kawachi; Masaharu Imazeki; Takayuki Shimizu; Tsutomu Iwase; Minoru Shinozuka; Hideyo Ishigaki
Journal:  Int J Clin Oncol       Date:  2007-12-21       Impact factor: 3.402

3.  Improved decision making in intermediate-risk prostate cancer: a multicenter study on pathologic and oncologic outcomes after radical prostatectomy.

Authors:  Jean Baptiste Beauval; Guillaume Ploussard; Bastien Cabarrou; Mathieu Roumiguié; Adil Ouzzane; Jérome Gas; Annabelle Goujon; Gautier Marcq; Romain Mathieu; Sébastien Vincendeau; Xavier Cathelineau; Pierre Mongiat-Artus; Laurent Salomon; Michel Soulié; Arnaud Méjean; Alexandre de La Taille; Morgan Rouprêt; François Rozet
Journal:  World J Urol       Date:  2016-12-16       Impact factor: 4.226

Review 4.  Value of multiparametric MRI in the work-up of prostate cancer.

Authors:  F Cornud; N B Delongchamps; P Mozer; F Beuvon; A Schull; N Muradyan; M Peyromaure
Journal:  Curr Urol Rep       Date:  2012-02       Impact factor: 3.092

5.  Assessment of the American Joint Committee on Cancer staging (sixth and seventh editions) for clinically localized prostate cancer treated with external beam radiotherapy and comparison with the National Comprehensive Cancer Network risk-stratification method.

Authors:  Nicholas G Zaorsky; Tianyu Li; Karthik Devarajan; Eric M Horwitz; Mark K Buyyounouski
Journal:  Cancer       Date:  2012-04-27       Impact factor: 6.860

6.  Automating the Determination of Prostate Cancer Risk Strata From Electronic Medical Records.

Authors:  Justin R Gregg; Maximilian Lang; Lucy L Wang; Matthew J Resnick; Sandeep K Jain; Jeremy L Warner; Daniel A Barocas
Journal:  JCO Clin Cancer Inform       Date:  2017-06-08

7.  Modified risk stratification grouping using standard clinical and biopsy information for patients undergoing radical prostatectomy: Results from SEARCH.

Authors:  Zachary S Zumsteg; Zinan Chen; Lauren E Howard; Christopher L Amling; William J Aronson; Matthew R Cooperberg; Christopher J Kane; Martha K Terris; Daniel E Spratt; Howard M Sandler; Stephen J Freedland
Journal:  Prostate       Date:  2017-10-10       Impact factor: 4.104

Review 8.  Predictive models in external beam radiotherapy for clinically localized prostate cancer.

Authors:  Mack Roach; Fred Waldman; Alan Pollack
Journal:  Cancer       Date:  2009-07-01       Impact factor: 6.860

9.  Oncologic outcome after radical prostatectomy in men with PSA values above 20 ng/ml: a monocentric experience.

Authors:  Kien Nguyen; Stephanie Eltz; Sarah J Drouin; Eva Comperat; François Audenet; Raphaele Renard-Penna; Marc-Olivier Bitker; Emmanuel Chartier-Kastler; François Richard; Olivier Cussenot; Morgan Rouprêt
Journal:  World J Urol       Date:  2009-05-23       Impact factor: 4.226

10.  Predicting Biochemical Failure in Irradiated Patients With Prostate Cancer by Tumour Volume Measured by Multiparametric MRI.

Authors:  Benedict Oerther; Moritz V Buren; Christina M Klein; Simon Kirste; Nils H Nicolay; Tanja Sprave; Simon Spohn; Deepa Darshini Gunashekar; Leonard Hagele; Lars Bielak; Michael Bock; Anca-L Grosu; Fabian Bamberg; Matthias Benndorf; Constantinos Zamboglou
Journal:  In Vivo       Date:  2020 Nov-Dec       Impact factor: 2.155

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