Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
biochemistry, genetics and molecular biology
Relationship between mammographic density and breast cancer death in the breast cancer surveillance consortium
Journal of the National Cancer Institute, Volume 104, No. 16, Year 2012
Notification
URL copied to clipboard!
Description
Background Women with elevated mammographic density have an increased risk of developing breast cancer. However, among women diagnosed with breast cancer, it is unclear whether higher density portends reduced survival, independent of other factors.Methods We evaluated relationships between mammographic density and risk of death from breast cancer and all causes within the US Breast Cancer Surveillance Consortium. We studied 9232 women diagnosed with primary invasive breast carcinoma during 19962005, with a mean follow-up of 6.6 years. Mammographic density was assessed using the Breast Imaging Reporting and Data System (BI-RADS) density classification. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated by Cox proportional hazards regression; women with scattered fibroglandular densities (BI-RADS 2) were the referent group. All statistical tests were two-sided.Results A total of 1795 women died, of whom 889 died of breast cancer. In multivariable analyses (adjusted for site, age at and year of diagnosis, American Joint Committee on Cancer stage, body mass index, mode of detection, treatment, and income), high density (BI-RADS 4) was not related to risk of death from breast cancer (HR = 0.92, 95% CI = 0.71 to 1.19) or death from all causes (HR = 0.83, 95% CI = 0.68 to 1.02). Analyses stratified by stage and other prognostic factors yielded similar Results , except for an increased risk of breast cancer death among women with low density (BI-RADS 1) who were either obese (HR = 2.02, 95% CI = 1.37 to 2.97) or had tumors of at least 2.0cm (HR = 1.55, 95% CI = 1.14 to 2.09). Conclusions High mammographic breast density was not associated with risk of death from breast cancer or death from any cause after accounting for other patient and tumor characteristics. Thus, risk factors for the development of breast cancer may not necessarily be the same as factors influencing the risk of death after breast cancer has developed. © 2012 Oxford University Press.
Authors & Co-Authors
Gierach, Gretchen L.
United States, Bethesda
Hormonal and Reproductive Epidemiology Branch
Ichikawa, Laura
United States, Rockville
National Cancer Institute Nci
United States, Seattle
Group Health Research Institute
Kerlikowske, Karla M.
United States, San Francisco
University of California, San Francisco
Brinton, Louise Annette
United States, Bethesda
Hormonal and Reproductive Epidemiology Branch
Farhat, Ghada N.
Lebanon, Al Koura
University of Balamand
Vacek, Pamela Mary
United States, Burlington
University of Vermont Larner College of Medicine
Weaver, Donald Lee
United States, Burlington
University of Vermont Larner College of Medicine
Schairer, Catherine
United States, Research Triangle Park
Biostatistics Branch
Taplin, Stephen H.
United States, Washington
Behavioral Research Program
Sherman, Mark E.
United States, Bethesda
Hormonal and Reproductive Epidemiology Branch
Statistics
Citations: 147
Authors: 10
Affiliations: 8
Identifiers
Doi:
10.1093/jnci/djs327
ISSN:
00278874
e-ISSN:
14602105
Research Areas
Cancer
Environmental
Health System And Policy
Study Design
Cohort Study
Participants Gender
Female