The research described in this module will investigate the prognosis and pathologic characteristics of breast cancers occurring in women who have germline mutations in BRCA1 and BRCA2. Prognostic effects will be examined by obtaining clinical, treatment and follow-up information on women who are members of incident cohorts recruited at the three CFRBCS population-based sites (Ontario, Australia, Northern California); pathologic characteristics will be investigated in women recruited at these sites, as well as those recruited at the three clinic-based sites (Utah, Philadelphia, New York). Our objectives are to compare the risk of breast cancer recurrence and death in women with hereditary breast cancer to those with sporadic breast cancer before and after consideration of treatment and traditional prognostic factors, to investigate the impact of family history on breast cancer outcomes and to characterize the pathology of BRCA1 and BRCA2 associated breast cancer. The impact on distant recurrence of a germline mutation in each gene separately is our primary objective. We will enroll approximately 5910 women; 323 of these are expected to have mutations in BRCA1 and 194 in BRCA2. Clinical, pathology and follow- up data collection will be standardized across center. With a mean follow- up of 6 years by the end of 2003, we will have over 95% powers to detect a 15% increased risk of distant recurrence (our primary study outcome) in women with mutations in BRCA1, and over 90% power to detect this same increased risk in those with mutations in BRCA2. The CFRBCS is in a strong position to carry out this research. The multicenter nature of our group allows us to study large numbers of women in a relatively short period of time. The existence of an established registry provides immediate access to groups of women with hereditary and non-hereditary breast cancer thereby facilitating recruitment, it reduces the burden of data collection and it provides access to results of mutation analysis. Furthermore, the collaborative relationships developed during establishment of the CFRBCS have facilitated agreement about research methodology and data collection for this module. This has led to a timely and cost-effective approach to our current research goals. It also puts in a strong position to examine prognostic discovered genes in the future.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01CA069446-08
Application #
6578766
Study Section
Special Emphasis Panel (ZCA1)
Project Start
2001-12-01
Project End
2002-11-30
Budget Start
Budget End
Support Year
8
Fiscal Year
2002
Total Cost
Indirect Cost
Name
University of Utah
Department
Type
DUNS #
City
Salt Lake City
State
UT
Country
United States
Zip Code
84112
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
Piccolo, Stephen R; Hoffman, Laura M; Conner, Thomas et al. (2016) Integrative analyses reveal signaling pathways underlying familial breast cancer susceptibility. Mol Syst Biol 12:860
Piccolo, Stephen R; Andrulis, Irene L; Cohen, Adam L et al. (2015) Gene-expression patterns in peripheral blood classify familial breast cancer susceptibility. BMC Med Genomics 8:72
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
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
Gaudet, Mia M; Kuchenbaecker, Karoline B; Vijai, Joseph et al. (2013) Identification of a BRCA2-specific modifier locus at 6p24 related to breast cancer risk. PLoS Genet 9:e1003173
Mocci, Evelina; Milne, Roger L; Méndez-Villamil, Elena Yuste et al. (2013) Risk of pancreatic cancer in breast cancer families from the breast cancer family registry. Cancer Epidemiol Biomarkers Prev 22:803-11

Showing the most recent 10 out of 57 publications