PURPOSE: To determine whether the percentage of positive prostate biopsies provides clinically relevant information to a previously established risk stratification system with respect to the end points of prostate cancer-specific survival (PCSS) and overall survival after radiotherapy for patients with clinically localized prostate cancer. METHODS AND MATERIALS: A Cox regression multivariable analysis was used to evaluate the ability of the percentage of positive prostate biopsies to predict PCSS and overall survival for 381 men who underwent radiotherapy for localized prostate cancer during the prostate-specific antigen era. RESULTS: At a median follow-up of 4.3 years (range 0.8-13.3), the presence of < or =50% positive biopsies vs. >50% positive biopsies provided a clinically relevant stratification of the 7-year estimates of PCSS (100% vs. 57%, p = 0.004) in intermediate-risk patients. Moreover, all patients could be stratified into a minimal or high-risk cohort on the basis of the 10-year estimates of PCSS (100% vs. 55%, p <0.0001) and overall survival (87% vs. 40%, p = 0.02) by incorporating the percentage of positive prostate biopsy information into a previously established risk stratification system. CONCLUSION: The clinically relevant stratification of PCSS using the percentage of positive prostate biopsies in intermediate-risk patients confirms previous findings based on prostate-specific antigen outcome. These data provide evidence to support the ability to stratify newly diagnosed patients with clinically localized disease into a minimal-risk (low-risk + low biopsy volume [< or =50%] intermediate-risk) or high-risk (high biopsy volume [>50%] intermediate-risk + high-risk) cohort for prostate cancer-specific death after conventional dose radiotherapy. Additional follow-up and independent validation are needed to confirm these findings.
PURPOSE: To determine whether the percentage of positive prostate biopsies provides clinically relevant information to a previously established risk stratification system with respect to the end points of prostate cancer-specific survival (PCSS) and overall survival after radiotherapy for patients with clinically localized prostate cancer. METHODS AND MATERIALS: A Cox regression multivariable analysis was used to evaluate the ability of the percentage of positive prostate biopsies to predict PCSS and overall survival for 381 men who underwent radiotherapy for localized prostate cancer during the prostate-specific antigen era. RESULTS: At a median follow-up of 4.3 years (range 0.8-13.3), the presence of < or =50% positive biopsies vs. >50% positive biopsies provided a clinically relevant stratification of the 7-year estimates of PCSS (100% vs. 57%, p = 0.004) in intermediate-risk patients. Moreover, all patients could be stratified into a minimal or high-risk cohort on the basis of the 10-year estimates of PCSS (100% vs. 55%, p <0.0001) and overall survival (87% vs. 40%, p = 0.02) by incorporating the percentage of positive prostate biopsy information into a previously established risk stratification system. CONCLUSION: The clinically relevant stratification of PCSS using the percentage of positive prostate biopsies in intermediate-risk patients confirms previous findings based on prostate-specific antigen outcome. These data provide evidence to support the ability to stratify newly diagnosed patients with clinically localized disease into a minimal-risk (low-risk + low biopsy volume [< or =50%] intermediate-risk) or high-risk (high biopsy volume [>50%] intermediate-risk + high-risk) cohort for prostate cancer-specific death after conventional dose radiotherapy. Additional follow-up and independent validation are needed to confirm these findings.
Authors: Radka Stoyanova; Niraj H Pahlajani; Brian L Egleston; Mark K Buyyounouski; David Y T Chen; Eric M Horwitz; Alan Pollack Journal: Cancer Date: 2012-10-23 Impact factor: 6.860
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: Hong Zhang; Edward M Messing; Lois B Travis; Ollivier Hyrien; Rui Chen; Michael T Milano; Yuhchyau Chen Journal: Front Oncol Date: 2013-12-23 Impact factor: 6.244