BACKGROUND: The objectives of this study were to determine the frequency of metastatic (M1) prostate cancer (PC) at presentation in different age groups, to examine the association of age with PC-specific mortality, and to calculate the relative contribution of different age groups to the pool of M1 cases and PC deaths. METHODS: Records from 464,918 patients who were diagnosed with PC from 1998 to 2007 were obtained from the Surveillance, Epidemiology, and End Results (SEER) database. The patients were categorized according to age into groups ages <50 years, 50 to 54 years, 55 to 59 years, 60 to 64 years, 65 to 69 years, 70 to 74 years, 75 to 79 years, 80 to 84 years, 85 to 89 years, and ≥ 90 years. The cumulative incidence of death from PC was computed using the Gray method. RESULTS: The frequency of M1 PC at presentation was 3% for the group aged <75 years, 5% for the group ages 75 to 79 years, 8% for the group ages 80 to 84 years, 13% for the group ages 85 to 89 years, and 17% for the group aged ≥ 90 years. The 5-year cumulative incidence of death from PC was 3% to 4% for all patients with PC in any category aged <75 years, 7% for patients ages 75 to 79 years, 13% for patients ages 80 to 84 years, 20% for patients ages 85 to 89 years, and 30% for patients aged ≥ 90 years. Although patients aged ≥ 75 years at PC diagnosis represented just over a quarter (26%) of all PC cases, they contributed almost half (48%) of all M1 cases and more than half (53%) of all PC deaths. CONCLUSIONS: Compared with younger patients (aged <75 years), older patients were more likely to present with very advanced disease, had a greater risk of death from PC despite higher death rates from competing causes, and contributed more than half of all PC deaths. Awareness of this issue may improve future outcomes for elderly patients with PC.
BACKGROUND: The objectives of this study were to determine the frequency of metastatic (M1) prostate cancer (PC) at presentation in different age groups, to examine the association of age with PC-specific mortality, and to calculate the relative contribution of different age groups to the pool of M1 cases and PC deaths. METHODS: Records from 464,918 patients who were diagnosed with PC from 1998 to 2007 were obtained from the Surveillance, Epidemiology, and End Results (SEER) database. The patients were categorized according to age into groups ages <50 years, 50 to 54 years, 55 to 59 years, 60 to 64 years, 65 to 69 years, 70 to 74 years, 75 to 79 years, 80 to 84 years, 85 to 89 years, and ≥ 90 years. The cumulative incidence of death from PC was computed using the Gray method. RESULTS: The frequency of M1 PC at presentation was 3% for the group aged <75 years, 5% for the group ages 75 to 79 years, 8% for the group ages 80 to 84 years, 13% for the group ages 85 to 89 years, and 17% for the group aged ≥ 90 years. The 5-year cumulative incidence of death from PC was 3% to 4% for all patients with PC in any category aged <75 years, 7% for patients ages 75 to 79 years, 13% for patients ages 80 to 84 years, 20% for patients ages 85 to 89 years, and 30% for patients aged ≥ 90 years. Although patients aged ≥ 75 years at PC diagnosis represented just over a quarter (26%) of all PC cases, they contributed almost half (48%) of all M1 cases and more than half (53%) of all PC deaths. CONCLUSIONS: Compared with younger patients (aged <75 years), older patients were more likely to present with very advanced disease, had a greater risk of death from PC despite higher death rates from competing causes, and contributed more than half of all PC deaths. Awareness of this issue may improve future outcomes for elderly patients with PC.
Authors: J J Tosoian; R Alam; C Gergis; A Narang; N Radwan; S Robertson; T McNutt; A E Ross; D Y Song; T L DeWeese; P T Tran; P C Walsh Journal: Prostate Cancer Prostatic Dis Date: 2017-01-03 Impact factor: 5.554
Authors: Matthew R Smith; Dana E Rathkopf; Peter F A Mulders; Joan Carles; Hendrik Van Poppel; Jinhui Li; Thian Kheoh; Thomas W Griffin; Arturo Molina; Charles J Ryan Journal: J Urol Date: 2015-07-04 Impact factor: 7.450
Authors: Scott E Eggener; Ketan Badani; Daniel A Barocas; Glen W Barrisford; Jed-Sian Cheng; Arnold I Chin; Anthony Corcoran; Jonathan I Epstein; Arvin K George; Gopal N Gupta; Matthew H Hayn; Eric C Kauffman; Brian Lane; Michael A Liss; Moben Mirza; Todd M Morgan; Kelvin Moses; Kenneth G Nepple; Mark A Preston; Soroush Rais-Bahrami; Matthew J Resnick; M Minhaj Siddiqui; Jonathan Silberstein; Eric A Singer; Geoffrey A Sonn; Preston Sprenkle; Kelly L Stratton; Jennifer Taylor; Jeffrey Tomaszewski; Matt Tollefson; Andrew Vickers; Wesley M White; William T Lowrance Journal: J Urol Date: 2015-04-04 Impact factor: 7.450
Authors: Michael S Leapman; Janet E Cowan; Hao G Nguyen; Katsuto K Shinohara; Nannette Perez; Matthew R Cooperberg; William J Catalona; Peter R Carroll Journal: J Clin Oncol Date: 2017-03-27 Impact factor: 44.544