We propose conducting a population-based study to explain the regional variation in breast cancer rates in Wisconsin that will build upon past and ongoing case-control studies of breast cancer at the University of Wisconsin Comprehensive Cancer Center. We hypothesize that the regional variations in breast cancer rates in Wisconsin are due to regional variations in established or potential breast cancer risk factors.
The specific aims i nclude 1) comparing breast cancer incidence, mortality, and survival rates within Wisconsin by geographic area; 2) evaluating the contribution of previously identified breast cancer risk factors, socioeconomic status, and screening practices to the regional variations in breast cancer rates; and 3) evaluating the association between environmental exposures (such as PCBs, DDT, and other xenoestrogens) and breast cancer risk, and if associated, the contribution of these exposures to the regional variations in breast cancer rates. In Phase I, we assign a """"""""geographic breast cancer risk"""""""" to every case and control already enrolled in our case-control studies (n=14,000) by analyzing breast cancer mortality and incidence rates by area of residence (county, city, zip code, and census tract). Next, we will adjust this risk by controlling for established and potential individual-and community-level risk factors for breast cancer. In Phase II, we will expand our ongoing case-control study (n=6,600) by collecting information on environmental exposures and determining their contribution to the regional variation in breast cancer rates. Biologic specimen collection currently (buccal smears) and proposed (blood) will enable us to evaluate genetic risk and markers of biologic exposure. By utilizing existing populations, protocols, personnel, and software, we can complete these evaluations in an efficient, timely, and statistically valid manner. This approach will enable us, in collaboration with the NCI, NIEHS, and other funded researchers, to examine in detail the contribution of a variety of individual- and community-level exposures to the long-standing regional variation in breast cancer rates in Wisconsin and will improve our understanding of the causes of breast cancer.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01CA082004-04
Application #
6522272
Study Section
Special Emphasis Panel (ZCA1-RLB-3 (J2))
Program Officer
Verma, Mukesh
Project Start
1999-09-01
Project End
2003-12-31
Budget Start
2002-09-01
Budget End
2003-12-31
Support Year
4
Fiscal Year
2002
Total Cost
$166,371
Indirect Cost
Name
University of Wisconsin Madison
Department
Public Health & Prev Medicine
Type
Schools of Medicine
DUNS #
161202122
City
Madison
State
WI
Country
United States
Zip Code
53715
Passarelli, Michael N; Newcomb, Polly A; Hampton, John M et al. (2016) Cigarette Smoking Before and After Breast Cancer Diagnosis: Mortality From Breast Cancer and Smoking-Related Diseases. J Clin Oncol 34:1315-22
Sprague, Brian L; Gangnon, Ronald E; Hampton, John M et al. (2015) Variation in Breast Cancer-Risk Factor Associations by Method of Detection: Results From a Series of Case-Control Studies. Am J Epidemiol 181:956-69
Trentham-Dietz, Amy; Sprague, Brian L; Hampton, John M et al. (2014) Modification of breast cancer risk according to age and menopausal status: a combined analysis of five population-based case-control studies. Breast Cancer Res Treat 145:165-75
Newcomb, Polly A; Kampman, Ellen; Trentham-Dietz, Amy et al. (2013) Alcohol consumption before and after breast cancer diagnosis: associations with survival from breast cancer, cardiovascular disease, and other causes. J Clin Oncol 31:1939-46
Newcomb, Polly A; Trentham-Dietz, Amy; Hampton, John M et al. (2011) Late age at first full term birth is strongly associated with lobular breast cancer. Cancer 117:1946-56
Warren Andersen, S; Newcomb, P A; Hampton, J M et al. (2011) Reproductive factors and histologic subtype in relation to mortality after a breast cancer diagnosis. Breast Cancer Res Treat 130:975-80
Sprague, Brian L; Trentham-Dietz, Amy; Gangnon, Ronald E et al. (2011) Socioeconomic status and survival after an invasive breast cancer diagnosis. Cancer 117:1542-51
Gangnon, Ronald E (2010) Local multiplicity adjustments for spatial cluster detection. Environ Ecol Stat 17:55-71
Samuelson, David J; Hesselson, Stephanie E; Aperavich, Beth A et al. (2007) Rat Mcs5a is a compound quantitative trait locus with orthologous human loci that associate with breast cancer risk. Proc Natl Acad Sci U S A 104:6299-304
Gangnon, Ronald E (2006) Impact of prior choice on local Bayes factors for cluster detection. Stat Med 25:883-95

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