Molecular biology has revolutionized breast cancer treatment increasing survival rates dramatically. Nevertheless, for too many women, particularly those at high risk from germline genetic mutations, case fatality remains high and cancer prevention remains elusive. The Breast Cancer Registry of Families BCFR), and the Metropolitan New York Registry, one of the six sites of the BCFR, remains committed to the continuation and restructuring of our infrastructure so that interdisciplinary research scientists can advance these issues using this unique resource. Our New York Registry, one of three clinic-based sites for the BCFR, enriches this resource for the scientific community in many ways, including first and foremost by providing 1,312 families and 4,729 individuals (57 percent of the families from the clinic-based sites). Our recruitment strategy emphasizes participation by families: 95 percent of all participants have at least one other family member also participating in the NY Registry;82 percent of all families have two or more members. Second, we provide a large number of carriers (195 with BRCA1 mutations, 101 with BRCA2 mutations) with detailed family and epidemiologic data. These unique characteristics of our New York family-based study population allows us to contribute too many important study designs crucial for unraveling the links between genes and the environment for high-risk women. These study designs, all of which New York investigators are employing in their own research as well as collaborative research, include retrospective cohort design among carrier families, sister-pair analyses comparing affected and unaffected sisters, and family triads. Further, 74 percent of our 4,729 participants have already donated DNA specimens for genetic analyses. Our New York team, comprised of epidemiologists, environmental scientists, pathologists, geneticists, and oncologists has the expertise and experience to contribute significantly to the research themes of the B-CFR 1) identification of genetic factors related to breast cancer risk;2) investigation of environmental modifiers of breast cancer risk;3) translational and clinical studies, and 4) behavioral response to familial breast cancer. To do so, we aim to continue and improve the New York component of the B-CFR infrastructure by contributing to the following nine platforms: Follow-up, Expansion of Families, Clinical Research, Pathology, Biospecimen, Molecular, Analytic, Behavioral/Survivorship, and Administrative and Coordination.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01CA069398-16
Application #
7647376
Study Section
Special Emphasis Panel (ZCA1-SRRB-Y (M1))
Program Officer
Schully, Sheri D
Project Start
1995-09-30
Project End
2011-06-30
Budget Start
2009-07-01
Budget End
2010-06-30
Support Year
16
Fiscal Year
2009
Total Cost
$702,577
Indirect Cost
Name
Columbia University (N.Y.)
Department
Public Health & Prev Medicine
Type
Schools of Public Health
DUNS #
621889815
City
New York
State
NY
Country
United States
Zip Code
10032
Dite, Gillian S; MacInnis, Robert J; Bickerstaffe, Adrian et al. (2017) Testing for Gene-Environment Interactions Using a Prospective Family Cohort Design: Body Mass Index in Early and Later Adulthood and Risk of Breast Cancer. Am J Epidemiol 185:487-500
Dite, Gillian S; MacInnis, Robert J; Bickerstaffe, Adrian et al. (2016) Breast Cancer Risk Prediction Using Clinical Models and 77 Independent Risk-Associated SNPs for Women Aged Under 50 Years: Australian Breast Cancer Family Registry. Cancer Epidemiol Biomarkers Prev 25:359-65
Tehranifar, Parisa; Wu, Hui-Chen; Shriver, Tom et al. (2015) Validation of family cancer history data in high-risk families: the influence of cancer site, ethnicity, kinship degree, and multiple family reporters. Am J Epidemiol 181:204-12
Rebbeck, Timothy R (see original citation for additional authors) (2015) Association of type and location of BRCA1 and BRCA2 mutations with risk of breast and ovarian cancer. JAMA 313:1347-61
Antoniou, Antonis C; Casadei, Silvia; Heikkinen, Tuomas et al. (2014) Breast-cancer risk in families with mutations in PALB2. N Engl J Med 371:497-506
Delgado-Cruzata, Lissette; Wu, Hui-Chen; Liao, Yuyan et al. (2014) Differences in DNA methylation by extent of breast cancer family history in unaffected women. Epigenetics 9:243-8
Work, Meghan E; Reimers, Laura L; Quante, Anne S et al. (2014) Changes in mammographic density over time in breast cancer cases and women at high risk for breast cancer. Int J Cancer 135:1740-4
Ferris, J S; Daly, M B; Buys, S S et al. (2014) Oral contraceptive and reproductive risk factors for ovarian cancer within sisters in the breast cancer family registry. Br J Cancer 110:1074-80
Dite, Gillian S; Mahmoodi, Maryam; Bickerstaffe, Adrian et al. (2013) Using SNP genotypes to improve the discrimination of a simple breast cancer risk prediction model. Breast Cancer Res Treat 139:887-96
Gracia-Aznarez, Francisco Javier; Fernandez, Victoria; Pita, Guillermo et al. (2013) Whole exome sequencing suggests much of non-BRCA1/BRCA2 familial breast cancer is due to moderate and low penetrance susceptibility alleles. PLoS One 8:e55681

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