PURPOSE: High endogenous testosterone is associated with increased breast cancer (BC) risk. We designed this study specifically to assess the long-term prognostic role of testosterone in a cohort of postmenopausal BC patients. PATIENTS AND METHODS: We considered 194 postmenopausal women, operated on for early BC (T1-2N0M0), who never received chemotherapy or hormonal therapy, and who participated in a fenretinide BC prevention trial as untreated controls. Blood samples were collected 3 months (median) after surgery; plasma samples, stored at -80 degrees C, were radioimmunoassayed for testosterone. Median follow-up was 14 years. The main end point was any cancer event. Event-free survival was estimated by the Kaplan-Meier method. Hazard ratios (HRs) of events by testosterone level were estimated by the Cox model, adjusting for age, tumor size, and histology. RESULTS: Patients with high testosterone (> or = 0.40 ng/mL, median of distribution) had significantly lower event-free survival than those with low testosterone (log-rank P = .004). The adjusted HR of patients with high versus low testosterone was 2.05 (95% CI, 1.28 to 3.27). High testosterone was also associated with a significantly higher risk of BC events (relapse and second primary) with an adjusted HR of 1.77 (95% CI, 1.06 to 2.96). Eleven second primaries (non-BC) occurred in the high-testosterone group, four in the low-testosterone group. CONCLUSION: High plasma testosterone strongly predicts poorer prognosis in postmenopausal BC patients not administered adjuvant therapy. Testosterone levels should be determined as part of the prognostic work-up.
PURPOSE: High endogenous testosterone is associated with increased breast cancer (BC) risk. We designed this study specifically to assess the long-term prognostic role of testosterone in a cohort of postmenopausal BC patients. PATIENTS AND METHODS: We considered 194 postmenopausal women, operated on for early BC (T1-2N0M0), who never received chemotherapy or hormonal therapy, and who participated in a fenretinide BC prevention trial as untreated controls. Blood samples were collected 3 months (median) after surgery; plasma samples, stored at -80 degrees C, were radioimmunoassayed for testosterone. Median follow-up was 14 years. The main end point was any cancer event. Event-free survival was estimated by the Kaplan-Meier method. Hazard ratios (HRs) of events by testosterone level were estimated by the Cox model, adjusting for age, tumor size, and histology. RESULTS:Patients with high testosterone (> or = 0.40 ng/mL, median of distribution) had significantly lower event-free survival than those with low testosterone (log-rank P = .004). The adjusted HR of patients with high versus low testosterone was 2.05 (95% CI, 1.28 to 3.27). High testosterone was also associated with a significantly higher risk of BC events (relapse and second primary) with an adjusted HR of 1.77 (95% CI, 1.06 to 2.96). Eleven second primaries (non-BC) occurred in the high-testosterone group, four in the low-testosterone group. CONCLUSION: High plasma testosterone strongly predicts poorer prognosis in postmenopausal BC patients not administered adjuvant therapy. Testosterone levels should be determined as part of the prognostic work-up.
Authors: Jennifer A Emond; Ruth E Patterson; Loki Natarajan; Gail A Laughlin; Ellen B Gold; John P Pierce Journal: Cancer Epidemiol Biomarkers Prev Date: 2011-03-17 Impact factor: 4.254
Authors: Catherine Duggan; Frank Stanczyk; Kristin Campbell; Marian L Neuhouser; Richard N Baumgartner; Kathy B Baumgartner; Leslie Bernstein; Rachel Ballard; Anne McTiernan Journal: Breast Cancer Res Treat Date: 2016-02-10 Impact factor: 4.872
Authors: Kevin H Kensler; A Heather Eliassen; Bernard A Rosner; Susan E Hankinson; Myles Brown; Rulla M Tamimi Journal: Breast Cancer Res Treat Date: 2019-01-02 Impact factor: 4.872
Authors: Cheryl L Rock; Shirley W Flatt; Gail A Laughlin; Ellen B Gold; Cynthia A Thomson; Loki Natarajan; Lovell A Jones; Bette J Caan; Marcia L Stefanick; Richard A Hajek; Wael K Al-Delaimy; Frank Z Stanczyk; John P Pierce Journal: Cancer Epidemiol Biomarkers Prev Date: 2008-03-06 Impact factor: 4.254