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Modeling Prostate Specific Antigen Kinetics in Patients on Active Surveillance Show Comments PDF Print E-mail
  
Wednesday, 29 November 2006
BERKELEY, CA (UroToday.com) - Active surveillance (AS) is gaining popularity in the management of prostate cancer. In the October 2006 issue of the Journal of Urology, Dr. Zhang and associates from The University of Toronto report an active surveillance model that differentiates between low and high risk patients over time. This facilitates determining which patients should shift from active surveillance to active treatment.

The authors point out that using a single PSA increase during AS may prompt anxiety and premature conversion to active treatment. PSA doubling time (PSADT) on the other hand would permit more rational decision-making in terms of the need for definitive therapy.

A prospective single arm cohort study was performed between 1995 and 2005. Patients under age 70 years with a PSA less than 10ng/ml and Gleason score 6 or less were eligible for inclusion. Patients over 70 years with a PSA between 11 and 15ng/ml or a Gleason score of 7 (3+4) were eligible if a physician had estimated life expectancy to be 10 years or less. Patients were followed every 3 months for the first 2 years and every 6 months thereafter. Prostate biopsy was performed at 2 years. High-risk patients were defined by PSA kinetics or histological upgrading to Gleason 4+3 or greater on repeat biopsy. These criteria would prompt a shift to active therapy.

By March 2005, 231 men had enrolled in the study with a median age of 71 years. Gleason score was 6 or less in 78% and 84% had a PSA less than 10ng/ml at enrollment. With an average follow-up of 3.4 years, 103 men (44.6%) came off surveillance for treatment and 128 (55.4%) remained on surveillance. Overall survival at 8 years was 84%, and prostate cancer specific survival was 98%. Sixteen patients died from other causes and 2 men died from prostate cancer, although the time course of their death suggests likely metastatic disease at time of enrollment.

A mathematical model was developed and applied to facilitate in the differentiation of low and high risk. Three baseline covariates were associated with PSA evolution; initial PSA, age and Gleason score. The manuscript provides several examples of clinical application of the model to different patient scenarios.

Zhang L, Loblaw A, Klotz

J Urol 176:(4)1392-1398

Written by Christopher P. Evans, MD, a Contributing Editor with UroToday.

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