Literature DB >> 8621277

Pretreatment prostate-specific antigen doubling times: clinical utility of this predictor of prostate cancer behavior.

G E Hanks1, A L Hanlon, W R Lee, A Slivjak, T E Schultheiss.   

Abstract

PURPOSE: The distribution of pretreatment and posttreatment prostate specific antigen (PSA) doubling times (PSADT) varies widely. This report examines the pretreatment PSADT as an independent predictor of biochemical freedom from disease (bNED) and describes the clinical utility of PSADT. METHODS AND MATERIALS: Ninety-nine patients with T1-3 NX, M-0 prostate cancer treated between February 1989 and November 1993 have pretreatment PSADTs calculated from three or more PSA levels. Biochemical disease-free (bNED) survival (failure is PSA > or = 1.5 ngm/ml and rising) is evaluated by multivariate analysis of common prognostic indicators and PSADT.
RESULTS: Prostate-specific antigen doubling time (PSADT) is a significant predictor of survival along with radiation dose. Patients with a pretreatment PSADT of < 12 months show 50% failure by 18 months, while those with a PSADT that is not increasing show only 3% failure at 3 years.
CONCLUSIONS: Prostate-specific antigen doubling time (PSADT) is a predictor of bNED outcome in prostate cancer. Patients with PSADT < 12 months have aggressive disease, and should be considered for multimodal therapy. Slow PSADT (> or = 5 years) is observed in 57% of patients, and this end point may be considered in the decision to observe rather than to treat. After treatment failure, the PSADT may be used to determine which patients do not need immediate androgen deprivation.

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Year:  1996        PMID: 8621277     DOI: 10.1016/0360-3016(95)02154-x

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  11 in total

1.  Evaluation of prediagnostic prostate-specific antigen dynamics as predictors of death from prostate cancer in patients treated conservatively.

Authors:  M Frank O'Brien; Angel M Cronin; Paul A Fearn; Caroline J Savage; Brandon Smith; Jason Stasi; Peter T Scardino; Gabrielle Fisher; Jack Cuzick; Henrik Møller; R Timothy Oliver; Daniel M Berney; Christopher S Foster; James A Eastham; Andrew J Vickers; Hans Lilja
Journal:  Int J Cancer       Date:  2011-05-15       Impact factor: 7.396

2.  Clinical significance of the prostate-specific antigen doubling time prior to and following radical prostatectomy to predict the outcome of prostate cancer.

Authors:  Hisashi Takeuchi; Makoto Ohori; Masaaki Tachibana
Journal:  Mol Clin Oncol       Date:  2016-12-22

3.  Tumor regression and growth rates determined in five intramural NCI prostate cancer trials: the growth rate constant as an indicator of therapeutic efficacy.

Authors:  Wilfred D Stein; James L Gulley; Jeff Schlom; Ravi A Madan; William Dahut; William D Figg; Yang-Min Ning; Phil M Arlen; Doug Price; Susan E Bates; Tito Fojo
Journal:  Clin Cancer Res       Date:  2010-11-24       Impact factor: 12.531

4.  Preoperative prostate specific antigen doubling time is not a useful predictor of biochemical progression after radical prostatectomy.

Authors:  Stacy Loeb; Donghui Kan; Xiaoying Yu; Kimberly A Roehl; William J Catalona
Journal:  J Urol       Date:  2010-03-29       Impact factor: 7.450

5.  Hypermethylation of genes for diagnosis and risk stratification of prostate cancer.

Authors:  Donkena Krishna Vanaja; Mathias Ehrich; Dirk Van den Boom; John C Cheville; R Jeffrey Karnes; Donald J Tindall; Charles R Cantor; Charles Y F Young
Journal:  Cancer Invest       Date:  2009-06       Impact factor: 2.176

6.  Predicting biochemical failure and overall survival through intratherapy PSA changes during definitive external beam radiotherapy.

Authors:  Daniel E Soto; Rebecca R Andridge; Jeremy M G Taylor; Patrick W McLaughlin; Howard M Sandler; Charlie C Pan
Journal:  Int J Radiat Oncol Biol Phys       Date:  2008-05-19       Impact factor: 7.038

Review 7.  Treatment strategies for high-risk locally advanced prostate cancer.

Authors:  Seth A Rosenthal; Howard M Sandler
Journal:  Nat Rev Urol       Date:  2010-01       Impact factor: 14.432

8.  Tumor growth rates derived from data for patients in a clinical trial correlate strongly with patient survival: a novel strategy for evaluation of clinical trial data.

Authors:  Wilfred D Stein; William Doug Figg; William Dahut; Aryeh D Stein; Moshe B Hoshen; Doug Price; Susan E Bates; Tito Fojo
Journal:  Oncologist       Date:  2008-10-06

9.  Pretreatment prostate-specific antigen (PSA) velocity and doubling time are associated with outcome but neither improves prediction of outcome beyond pretreatment PSA alone in patients treated with radical prostatectomy.

Authors:  Matthew Frank O'Brien; Angel M Cronin; Paul A Fearn; Brandon Smith; Jason Stasi; Bertrand Guillonneau; Peter T Scardino; James A Eastham; Andrew J Vickers; Hans Lilja
Journal:  J Clin Oncol       Date:  2009-06-08       Impact factor: 44.544

10.  Genome abnormalities precede prostate cancer and predict clinical relapse.

Authors:  Yan P Yu; Chi Song; George Tseng; Bao Guo Ren; William LaFramboise; George Michalopoulos; Joel Nelson; Jian-Hua Luo
Journal:  Am J Pathol       Date:  2012-05-07       Impact factor: 4.307

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