Literature DB >> 10986056

Utilizing predictions of early prostate-specific antigen failure to optimize patient selection for adjuvant systemic therapy trials.

A V D'Amico1, R Whittington, S B Malkowicz, Y H Wu, M H Chen, M Hurwitz, P W Kantoff, J E Tomaszewski, A A Renshaw, A Wein, J P Richie.   

Abstract

PURPOSE: Prostate-specific antigen (PSA) failure within 2 years after radical prostatectomy (RP) has been shown to be a clinically significant predictor of distant failure. This study was performed to estimate 2-year PSA failure rates on the basis of readily available clinical and pathologic factors to identify patients for whom effective adjuvant systemic therapy is needed. PATIENTS AND METHODS: A Cox regression multivariable analysis was used to determine whether the percentage of positive prostate biopsies, PSA level, and the pathologic findings at RP in 1,728 men provided clinically relevant information about PSA outcome after RP. A bootstrapping technique with 2,000 replications was used to provide 95% confidence intervals for the predicted 2-year PSA failure rates, which were determined on the basis of the independent clinical and pathologic predictors of PSA outcome.
RESULTS: The independent predictors of time to PSA failure included a percentage of positive prostate biopsies of greater than 34% (P: < or =.009), PSA level greater than 10 ng/mL (P: < or =.01), seminal vesicle invasion (P: =. 02), prostatectomy Gleason score of 8 to 10 (P: =.04), and positive surgical margins (P: =.0001). Predictions of 2-year PSA failure rates and bootstrap estimates of the 95% confidence intervals were arranged in a tabular format, stratified by independent clinical and pathologic predictors of PSA outcome.
CONCLUSION: Patients who are most likely to benefit from effective adjuvant systemic therapy after RP can be identified using readily available clinical and pathologic data.

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Year:  2000        PMID: 10986056     DOI: 10.1200/JCO.2000.18.18.3240

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


  10 in total

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2.  Predictors of Gleason Score (GS) upgrading on subsequent prostatectomy: a single Institution study in a cohort of patients with GS 6.

Authors:  Vikas Mehta; Kevin Rycyna; Bart M M Baesens; Güliz A Barkan; Gladell P Paner; Robert C Flanigan; Eva M Wojcik; Girish Venkataraman
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3.  Association between single-nucleotide polymorphisms in DNA double-strand break repair genes and prostate cancer aggressiveness in the Spanish population.

Authors:  L A Henríquez-Hernández; A Valenciano; P Foro-Arnalot; M J Álvarez-Cubero; J M Cozar; J F Suárez-Novo; M Castells-Esteve; P Fernández-Gonzalo; B De-Paula-Carranza; M Ferrer; F Guedea; G Sancho-Pardo; J Craven-Bartle; M J Ortiz-Gordillo; P Cabrera-Roldán; J I Rodríguez-Melcón; E Herrera-Ramos; C Rodríguez-Gallego; P C Lara
Journal:  Prostate Cancer Prostatic Dis       Date:  2016-01-12       Impact factor: 5.554

4.  Selecting treatment for high-risk, localized prostate cancer: the case for radiation therapy.

Authors:  Robert Meier; Michael K Brawer
Journal:  Rev Urol       Date:  2002

5.  Preoperative nomogram predicting the 10-year probability of prostate cancer recurrence after radical prostatectomy.

Authors:  Andrew J Stephenson; Peter T Scardino; James A Eastham; Fernando J Bianco; Zohar A Dotan; Paul A Fearn; Michael W Kattan
Journal:  J Natl Cancer Inst       Date:  2006-05-17       Impact factor: 13.506

6.  Predicting post-external beam radiation therapy PSA relapse of prostate cancer using pretreatment MRI.

Authors:  Michael H Fuchsjäger; Darko Pucar; Michael J Zelefsky; Zhigang Zhang; Qianxing Mo; Leah S Ben-Porat; Amita Shukla-Dave; Liang Wang; Victor E Reuter; Hedvig Hricak
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-02-03       Impact factor: 7.038

7.  Guideline for optimization of surgical and pathological quality performance for radical prostatectomy in prostate cancer management: evidentiary base.

Authors:  Joseph L Chin; John Srigley; Linda A Mayhew; R Bryan Rumble; Claire Crossley; Amber Hunter; Neil Fleshner; Bish Bora; Robin McLeod; Sheila McNair; Bernard Langer; Andrew Evans
Journal:  Can Urol Assoc J       Date:  2010-02       Impact factor: 1.862

8.  Prognostic factors for failure after prostatectomy.

Authors:  Gregory P Swanson; Joseph W Basler
Journal:  J Cancer       Date:  2010-12-07       Impact factor: 4.207

9.  Single nucleotide polymorphisms in DNA repair genes as risk factors associated to prostate cancer progression.

Authors:  Luis Alberto Henríquez-Hernández; Almudena Valenciano; Palmira Foro-Arnalot; María Jesús Álvarez-Cubero; José Manuel Cozar; José Francisco Suárez-Novo; Manel Castells-Esteve; Pablo Fernández-Gonzalo; Belén De-Paula-Carranza; Montse Ferrer; Ferrán Guedea; Gemma Sancho-Pardo; Jordi Craven-Bartle; María José Ortiz-Gordillo; Patricia Cabrera-Roldán; Estefanía Herrera-Ramos; Carlos Rodríguez-Gallego; Juan Ignacio Rodríguez-Melcón; Pedro C Lara
Journal:  BMC Med Genet       Date:  2014-12-24       Impact factor: 2.103

Review 10.  Diagnostic accuracy of prostate needle biopsy.

Authors:  Timothy Donahue; Judd Moul
Journal:  Curr Urol Rep       Date:  2002-06       Impact factor: 2.862

  10 in total

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