PURPOSE: Prostate specific antigen velocity is an unreliable predictor of adverse pathology findings in patients on active surveillance for low risk prostate cancer. However, to our knowledge a new concept called prostate specific antigen velocity risk count, recently validated in a screening cohort, has not been investigated in an active surveillance cohort. MATERIALS AND METHODS: We evaluated a cohort of men from 1995 to 2012 with prostate cancer on active surveillance. They had stage T1c disease, prostate specific antigen density less than 0.15 ng/ml, Gleason score 6 or less, 2 or fewer biopsy cores and 50% or less involvement of any core with cancer. The men were observed by semiannual prostate specific antigen measurements, digital rectal examinations and an annual surveillance biopsy. Treatment was recommended for biopsy reclassification. Patients with 30 months or greater of followup and 3 serial prostate specific antigen velocity measurements were used in primary analysis by logistic regression, Cox proportional hazards, Kaplan-Meier analysis and performance parameters, including the AUC of the ROC curve. RESULTS: Primary analysis included 275 of 668 men who met very low risk inclusion criteria, of whom 83 (30.2%) were reclassified at a median of 57.1 months. Reclassification risk increased with risk count, that is a risk count of 3 (HR 4.63, 95% CI 1.54-13.87) and 2 (HR 3.73, 95% CI 1.75-7.97) compared to zero. Results were similar for Gleason score reclassification (HR 7.45, 95% CI 1.60-34.71 and 3.96, 95% CI 1.35-11.62, respectively). On secondary analysis the negative predictive value (risk count 1 or less) was 91.5% for reclassification in the next year. Adding the prostate specific antigen velocity risk count improved the AUC in a model including baseline prostate specific antigen density (0.7423 vs 0.6818, p = 0.025) and it outperformed the addition of overall prostate specific antigen velocity (0.7423 vs 0.6960, p = 0.037). CONCLUSIONS: Prostate specific antigen velocity risk count may be useful for monitoring patients on active surveillance and decreasing the frequency of biopsies needed in the long term.
PURPOSE:Prostate specific antigen velocity is an unreliable predictor of adverse pathology findings in patients on active surveillance for low risk prostate cancer. However, to our knowledge a new concept called prostate specific antigen velocity risk count, recently validated in a screening cohort, has not been investigated in an active surveillance cohort. MATERIALS AND METHODS: We evaluated a cohort of men from 1995 to 2012 with prostate cancer on active surveillance. They had stage T1c disease, prostate specific antigen density less than 0.15 ng/ml, Gleason score 6 or less, 2 or fewer biopsy cores and 50% or less involvement of any core with cancer. The men were observed by semiannual prostate specific antigen measurements, digital rectal examinations and an annual surveillance biopsy. Treatment was recommended for biopsy reclassification. Patients with 30 months or greater of followup and 3 serial prostate specific antigen velocity measurements were used in primary analysis by logistic regression, Cox proportional hazards, Kaplan-Meier analysis and performance parameters, including the AUC of the ROC curve. RESULTS: Primary analysis included 275 of 668 men who met very low risk inclusion criteria, of whom 83 (30.2%) were reclassified at a median of 57.1 months. Reclassification risk increased with risk count, that is a risk count of 3 (HR 4.63, 95% CI 1.54-13.87) and 2 (HR 3.73, 95% CI 1.75-7.97) compared to zero. Results were similar for Gleason score reclassification (HR 7.45, 95% CI 1.60-34.71 and 3.96, 95% CI 1.35-11.62, respectively). On secondary analysis the negative predictive value (risk count 1 or less) was 91.5% for reclassification in the next year. Adding the prostate specific antigen velocity risk count improved the AUC in a model including baseline prostate specific antigen density (0.7423 vs 0.6818, p = 0.025) and it outperformed the addition of overall prostate specific antigen velocity (0.7423 vs 0.6960, p = 0.037). CONCLUSIONS:Prostate specific antigen velocity risk count may be useful for monitoring patients on active surveillance and decreasing the frequency of biopsies needed in the long term.
Authors: Ignacio F San Francisco; Lillian Werner; Meredith M Regan; Marc B Garnick; Glenn Bubley; William C DeWolf Journal: J Urol Date: 2010-12-17 Impact factor: 7.450
Authors: Fritz H Schröder; Jonas Hugosson; Monique J Roobol; Teuvo L J Tammela; Stefano Ciatto; Vera Nelen; Maciej Kwiatkowski; Marcos Lujan; Hans Lilja; Marco Zappa; Louis J Denis; Franz Recker; Alvaro Páez; Liisa Määttänen; Chris H Bangma; Gunnar Aus; Sigrid Carlsson; Arnauld Villers; Xavier Rebillard; Theodorus van der Kwast; Paula M Kujala; Bert G Blijenberg; Ulf-Hakan Stenman; Andreas Huber; Kimmo Taari; Matti Hakama; Sue M Moss; Harry J de Koning; Anssi Auvinen Journal: N Engl J Med Date: 2012-03-15 Impact factor: 91.245
Authors: Jeffrey J Tosoian; Bruce J Trock; Patricia Landis; Zhaoyong Feng; Jonathan I Epstein; Alan W Partin; Patrick C Walsh; H Ballentine Carter Journal: J Clin Oncol Date: 2011-04-04 Impact factor: 44.544
Authors: H Ballentine Carter; Luigi Ferrucci; Anna Kettermann; Patricia Landis; E James Wright; Jonathan I Epstein; Bruce J Trock; E Jeffrey Metter Journal: J Natl Cancer Inst Date: 2006-11-01 Impact factor: 13.506
Authors: Stacy Loeb; Douglas E Sutherland; Anthony V D'Amico; Kimberly A Roehl; William J Catalona Journal: Urology Date: 2008-06-24 Impact factor: 2.649
Authors: Stacy Loeb; Sophie M Bruinsma; Joseph Nicholson; Alberto Briganti; Tom Pickles; Yoshiyuki Kakehi; Sigrid V Carlsson; Monique J Roobol Journal: Eur Urol Date: 2014-10-31 Impact factor: 20.096
Authors: J J Tosoian; H D Patel; M Mamawala; P Landis; S Wolf; D J Elliott; J I Epstein; H B Carter; A E Ross; L J Sokoll; C P Pavlovich Journal: Prostate Cancer Prostatic Dis Date: 2017-04-18 Impact factor: 5.554
Authors: Belén Pastor-Navarro; José Rubio-Briones; Ángel Borque-Fernando; Luis M Esteban; Jose Luis Dominguez-Escrig; José Antonio López-Guerrero Journal: Int J Mol Sci Date: 2021-06-10 Impact factor: 5.923