BACKGROUND: The objective of this study was to assess hormone receptor status as an independent predictor of survival in a population-based cohort of women with breast carcinoma who were followed for up to 11 years. METHODS: Since 1990, the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) Program has collected data on hormone receptor status among patients with breast carcinoma. In a cohort of 205,736 women with breast carcinoma age > or = 20 years at diagnosis who were entered into the SEER data base between 1990 and 2000, the authors analyzed the association of hormone receptor status with year of diagnosis, patient age, disease stage, tumor histology, tumor grade, race/ethnicity, and metropolitan/statewide residence areas. Kaplan-Meier survival curves were compared according to hormone receptor status, and Cox proportional-hazards regression models were used to assess the association of hormone receptor status with breast carcinoma-specific and all-cause mortality controlling for age, disease stage, tumor grade, tumor histology, race/ethnicity, and SEER region. RESULTS: Women who had tumors that were positive for both estrogen and progesterone hormone receptors had significantly better survival than other women with breast carcinoma in the overall cohort, within each stage, and in the younger and older age groups, although the survival advantage was greater among women age < or = 50 years than among older women. Hormone receptor status was associated with mortality even when patient age, disease stage, tumor grade, tumor histology, race/ethnicity, and metropolitan/statewide residence areas were taken into account. CONCLUSIONS: Hormone receptor status was identified as an independent predictor of outcome in women with breast carcinoma. Data from clinical trials with long follow-up may shed light on whether and how the benefit of hormonal and other treatment varies with hormone receptor status.
BACKGROUND: The objective of this study was to assess hormone receptor status as an independent predictor of survival in a population-based cohort of women with breast carcinoma who were followed for up to 11 years. METHODS: Since 1990, the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) Program has collected data on hormone receptor status among patients with breast carcinoma. In a cohort of 205,736 women with breast carcinoma age > or = 20 years at diagnosis who were entered into the SEER data base between 1990 and 2000, the authors analyzed the association of hormone receptor status with year of diagnosis, patient age, disease stage, tumor histology, tumor grade, race/ethnicity, and metropolitan/statewide residence areas. Kaplan-Meier survival curves were compared according to hormone receptor status, and Cox proportional-hazards regression models were used to assess the association of hormone receptor status with breast carcinoma-specific and all-cause mortality controlling for age, disease stage, tumor grade, tumor histology, race/ethnicity, and SEER region. RESULTS:Women who had tumors that were positive for both estrogen and progesterone hormone receptors had significantly better survival than other women with breast carcinoma in the overall cohort, within each stage, and in the younger and older age groups, although the survival advantage was greater among women age < or = 50 years than among older women. Hormone receptor status was associated with mortality even when patient age, disease stage, tumor grade, tumor histology, race/ethnicity, and metropolitan/statewide residence areas were taken into account. CONCLUSIONS:Hormone receptor status was identified as an independent predictor of outcome in women with breast carcinoma. Data from clinical trials with long follow-up may shed light on whether and how the benefit of hormonal and other treatment varies with hormone receptor status.
Authors: Katrina F Trivers; Aliza K Fink; Ann H Partridge; Kutluk Oktay; Elizabeth S Ginsburg; Chunyu Li; Lori A Pollack Journal: Oncologist Date: 2014-06-20
Authors: Chang Hoon Song; So Yeon Park; Keun-Yong Eom; Jee Hyun Kim; Sung-Won Kim; Jae Sung Kim; In Ah Kim Journal: Breast Cancer Res Date: 2010-03-12 Impact factor: 6.466
Authors: Rebecca J Asch-Kendrick; Mark A Samols; Mohammed T Lilo; Andrea P Subhawong; Rajni Sharma; Peter B Illei; Pedram Argani; Ashley Cimino-Mathews Journal: J Clin Pathol Date: 2014-09 Impact factor: 3.411