PURPOSE: To determine the influence of race on breast cancer treatment and on recurrence and breast cancer specific death. PATIENTS AND METHODS: The study population consisted of 6,054 African-American or white women who were diagnosed with breast cancer and received at least one of the treatments including mastectomy or breast conservative surgery, radiation, adjuvant chemotherapy, neo-adjuvant chemotherapy, and adjuvant endocrine therapy at M.D. Anderson Cancer Center between June 1997 and February 2005. The clinical outcomes were disease-free survival and breast-cancer-specific survival. Logistic regression analysis was performed to investigate if race was associated with the selection of each primary treatment while adjusting for tumor characteristics at diagnosis. Cox proportional hazards model was used to determine the effect of race on recurrence-free survival and breast-cancer-specific survival controlling for tumor characteristics, presence of co-morbidity conditions and use of these treatments. RESULTS: The use of any primary treatment for breast cancer was not significantly different by race after adjusting for tumor characteristics and co-morbidity conditions. Although tumor characteristics at diagnosis explained the major differences in clinical outcomes, race remained an independent prognostic factor for breast-cancer-specific survival (P=0.002), and a marginally significant factor for disease-free survival (P=0.063) in multivariate analyses. CONCLUSION: Equal treatment may not lead to equal clinical outcomes given similar tumor characteristics at diagnosis. To reduce racial differences in breast cancer recurrence and survival, it is important to have a better understanding of differences in tumor biology by race and to promote the use of early detection programs among African-American women.
PURPOSE: To determine the influence of race on breast cancer treatment and on recurrence and breast cancer specific death. PATIENTS AND METHODS: The study population consisted of 6,054 African-American or white women who were diagnosed with breast cancer and received at least one of the treatments including mastectomy or breast conservative surgery, radiation, adjuvant chemotherapy, neo-adjuvant chemotherapy, and adjuvant endocrine therapy at M.D. Anderson Cancer Center between June 1997 and February 2005. The clinical outcomes were disease-free survival and breast-cancer-specific survival. Logistic regression analysis was performed to investigate if race was associated with the selection of each primary treatment while adjusting for tumor characteristics at diagnosis. Cox proportional hazards model was used to determine the effect of race on recurrence-free survival and breast-cancer-specific survival controlling for tumor characteristics, presence of co-morbidity conditions and use of these treatments. RESULTS: The use of any primary treatment for breast cancer was not significantly different by race after adjusting for tumor characteristics and co-morbidity conditions. Although tumor characteristics at diagnosis explained the major differences in clinical outcomes, race remained an independent prognostic factor for breast-cancer-specific survival (P=0.002), and a marginally significant factor for disease-free survival (P=0.063) in multivariate analyses. CONCLUSION: Equal treatment may not lead to equal clinical outcomes given similar tumor characteristics at diagnosis. To reduce racial differences in breast cancer recurrence and survival, it is important to have a better understanding of differences in tumor biology by race and to promote the use of early detection programs among African-American women.
Authors: Kathryn H Schmitz; Marian L Neuhouser; Tanya Agurs-Collins; Krista A Zanetti; Lisa Cadmus-Bertram; Lorraine T Dean; Bettina F Drake Journal: J Natl Cancer Inst Date: 2013-08-29 Impact factor: 13.506
Authors: Lorraine T Dean; S V Subramanian; David R Williams; Katrina Armstrong; Camille Zubrinsky Charles; Ichiro Kawachi Journal: Am J Mens Health Date: 2014-08-12
Authors: Lorraine Dean; S V Subramanian; David R Williams; Katrina Armstrong; Camille Zubrinsky Charles; Ichiro Kawachi Journal: Soc Sci Med Date: 2013-12-13 Impact factor: 4.634
Authors: Shaheenah Dawood; Kristine Broglio; Shu-Wan Kau; Marjorie C Green; Sharon H Giordano; Funda Meric-Bernstam; Thomas A Buchholz; Constance Albarracin; Wei T Yang; Bryan T J Hennessy; Gabriel N Hortobagyi; Ana Maria Gonzalez-Angulo Journal: J Clin Oncol Date: 2008-12-01 Impact factor: 44.544
Authors: Wenli Dong; Donald A Berry; Therese B Bevers; Shu-Wan Kau; Limin Hsu; Richard L Theriault; Yu Shen Journal: Cancer Epidemiol Biomarkers Prev Date: 2008-05 Impact factor: 4.254
Authors: Lawrence B Marks; Constance Cirrincione; Thomas J Fitzgerald; Frances Laurie; Arvin S Glicksman; James Vredenburgh; Leonard R Prosnitz; Elizabeth J Shpall; Michael Crump; Paul G Richardson; Michael W Schuster; Jinli Ma; Bercedis L Peterson; Larry Norton; Steven Seagren; I Craig Henderson; David D Hurd; William P Peters Journal: Int J Radiat Oncol Biol Phys Date: 2009-09-09 Impact factor: 7.038