journal contribution
posted on 2023-03-31, 13:43 authored by Richard Sposto, Theresa H.M. Keegan, Cheryl Vigen, Marilyn L. Kwan, Leslie Bernstein, Esther M. John, Iona Cheng, Juan Yang, Jocelyn Koo, Allison W. Kurian, Bette J. Caan, Yani Lu, Kristine R. Monroe, Salma Shariff-Marco, Scarlett Lin Gomez, Anna H. Wu <p>Supplemental Table 1: Complete CBCSC cohort description, by all baseline model variables (N=12,098). Supplemental Table 2: Project specific sub-cohort description. Supplemental Table 3: Hazard ratio (HR) estimates and 95% confidence intervals from Cox regression analysis of breast cancer-specific mortality, for the racial/ethnic groups only model vs the full baseline model. (AJCC Stage I-II cases only). Supplemental Table 4: Hazard ratio (HR) estimates and 95% confidence intervals from Cox regression analysis of breast cancer-specific mortality, for the full baseline model vs the baseline model + specific domain variables, for the subsets of cases for which domain data were available(AJCC stage III cases Only). Supplemental Figure 1: Same as Figure 1, but with analysis restricted to AJCC stage I-II cases only.</p>
Funding
California Breast Cancer Research Program
California Breast Research Program (CBCRP)
SFBCS was supported by National Cancer Institute
U.S. Department of Defense (DOD)
CBCRP
National Institute of Child Health and HumanDevelopment (NICHD)
California Breast Cancer Act of 1993; National Cancer Institute
California Breast Cancer Research Fund
Multiethnic Cohort Study was supported by National Cancer Institute
National Cancer Institute
California Department of Health Services as part of the statewide cancer reporting program mandated by California Health and Safety Code Section
National Cancer Institute's Surveillance, Epidemiology, and End Results
Cancer Prevention Institute of California
University of Southern California
Public Health Institute
History
ARTICLE ABSTRACT
Background: Racial/ethnic disparity in breast cancer–specific mortality in the United States is well documented. We examined whether accounting for racial/ethnic differences in the prevalence of clinical, patient, and lifestyle and contextual factors that are associated with breast cancer–specific mortality can explain this disparity.Methods: The California Breast Cancer Survivorship Consortium combined interview data from six California-based breast cancer studies with cancer registry data to create a large, racially diverse cohort of women with primary invasive breast cancer. We examined the contribution of variables in a previously reported Cox regression baseline model plus additional contextual, physical activity, body size, and comorbidity variables to the racial/ethnic disparity in breast cancer–specific mortality.Results: The cohort comprised 12,098 women. Fifty-four percent were non-Latina Whites, 17% African Americans, 17% Latinas, and 12% Asian Americans. In a model adjusting only for age and study, breast cancer–specific HRs relative to Whites were 1.69 (95% CI, 1.46–1.96), 1.00 (0.84–1.19), and 0.52 (0.33–0.85) for African Americans, Latinas, and Asian Americans, respectively. Adjusting for baseline-model variables decreased disparity primarily by reducing the HR for African Americans to 1.13 (0.96–1.33). The most influential variables were related to disease characteristics, neighborhood socioeconomic status, and smoking status at diagnosis. Other variables had negligible impact on disparity.Conclusions: Although contextual, physical activity, body size, and comorbidity variables may influence breast cancer–specific mortality, they do not explain racial/ethnic mortality disparity.Impact: Other factors besides those investigated here may explain the existing racial/ethnic disparity in mortality. Cancer Epidemiol Biomarkers Prev; 25(7); 1064–72. ©2016 AACR.
