OBJECTIVES: To evaluate the recently developed Prostate Cancer Prevention Trial (PCPT) prostate cancer risk calculator in the San Antonio Center of Biomarkers of Risk for Prostate Cancer (SABOR) cohort of the Early Detection Research Network, a younger and more ethnically diverse population than that in the PCPT. METHODS: From 3488 SABOR participants, we identified 446 who had undergone prostate biopsy and had undergone prostate-specific antigen measurement and digital rectal examination before biopsy. Most biopsies were performed for abnormal digital rectal examination findings, a prostate-specific antigen level of more than 2.5 ng/mL, or elevated risk because of a first-degree relative with prostate cancer. We evaluated the operating characteristics of the PCPT calculator for detecting prostate cancer in this cohort of SABOR participants. Of the 446 men in this cohort, 24% were younger than 55 years of age. RESULTS: Of the 446 men who had undergone biopsy, 148 (33.2%) had prostate cancer. The observed SABOR prostate cancer rates increased with increasing PCPT risk: 15.7%, 39.0%, 48.8%, and 100.0% for a PCPT risk calculator value of less than 25%, 25% to 50%, 50% to 75%, and greater than 75%, respectively. The PCPT risk calculator had an area under the receiver operating characteristic curve of 65.5% (95% confidence interval 60.2% to 70.8%, P < 0.0001), was greater in African-American men (area under curve of 80.0%, 95% confidence interval 67.8% to 92.2%) than in other races (P = 0.02), and was not different in Hispanic men (P > 0.05). CONCLUSIONS: The results of our study have shown that the PCPT risk calculator, available from the Internet and incorporating the current best panel of risk factors, is valid in other, more diverse, populations.
OBJECTIVES: To evaluate the recently developed Prostate Cancer Prevention Trial (PCPT) prostate cancer risk calculator in the San Antonio Center of Biomarkers of Risk for Prostate Cancer (SABOR) cohort of the Early Detection Research Network, a younger and more ethnically diverse population than that in the PCPT. METHODS: From 3488 SABOR participants, we identified 446 who had undergone prostate biopsy and had undergone prostate-specific antigen measurement and digital rectal examination before biopsy. Most biopsies were performed for abnormal digital rectal examination findings, a prostate-specific antigen level of more than 2.5 ng/mL, or elevated risk because of a first-degree relative with prostate cancer. We evaluated the operating characteristics of the PCPT calculator for detecting prostate cancer in this cohort of SABOR participants. Of the 446 men in this cohort, 24% were younger than 55 years of age. RESULTS: Of the 446 men who had undergone biopsy, 148 (33.2%) had prostate cancer. The observed SABOR prostate cancer rates increased with increasing PCPT risk: 15.7%, 39.0%, 48.8%, and 100.0% for a PCPT risk calculator value of less than 25%, 25% to 50%, 50% to 75%, and greater than 75%, respectively. The PCPT risk calculator had an area under the receiver operating characteristic curve of 65.5% (95% confidence interval 60.2% to 70.8%, P < 0.0001), was greater in African-American men (area under curve of 80.0%, 95% confidence interval 67.8% to 92.2%) than in other races (P = 0.02), and was not different in Hispanic men (P > 0.05). CONCLUSIONS: The results of our study have shown that the PCPT risk calculator, available from the Internet and incorporating the current best panel of risk factors, is valid in other, more diverse, populations.
Authors: Yuanyuan Liang; Jamie C Messer; Christopher Louden; Miguel A Jimenez-Rios; Ian M Thompson; Hector R Camarena-Reynoso Journal: Urol Oncol Date: 2012-02-03 Impact factor: 3.498
Authors: Yuanyuan Liang; Donna P Ankerst; Norma S Ketchum; Barbara Ercole; Girish Shah; John D Shaughnessy; Robin J Leach; Ian M Thompson Journal: J Urol Date: 2010-11-12 Impact factor: 7.450
Authors: Shahrokh F Shariat; Michael W Kattan; Andrew J Vickers; Pierre I Karakiewicz; Peter T Scardino Journal: Future Oncol Date: 2009-12 Impact factor: 3.404
Authors: Stephen J Eyre; Donna P Ankerst; John T Wei; Prakash V Nair; Meredith M Regan; Gerrardina Bueti; Jeffrey Tang; Mark A Rubin; Michael Kearney; Ian M Thompson; Martin G Sanda Journal: J Urol Date: 2009-12 Impact factor: 7.450
Authors: C Wang; E Nieschlag; R Swerdloff; H M Behre; W J Hellstrom; L J Gooren; J M Kaufman; J-J Legros; B Lunenfeld; A Morales; J E Morley; C Schulman; I M Thompson; W Weidner; F C W Wu Journal: Eur J Endocrinol Date: 2008-11 Impact factor: 6.664