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Study design: Evaluating gene–environment interactions in the etiology of breast cancer – the WECARE study

Authors :
Bernstein, Jonine
Langholz, Bryan
Haile, Robert
Bernstein, Leslie
Thomas, Duncan
Stovall, Marilyn
Malone, Kathleen
Lynch, Charles
Olsen, Jørgen
Anton-Culver, Hoda
Shore, Roy
Boice, John
Berkowitz, Gertrud
Gatti, Richard
Teitelbaum, Susan
Smith, Susan
Rosenstein, Barry
Børresen-Dale, Anne-Lise
Concannon, Patrick
Thompson, W Douglas
Source :
Breast Cancer Research; June 2004, Vol. 6 Issue: 3 p199-214, 16p
Publication Year :
2004

Abstract

Introduction Deficiencies in cellular responses to DNA damage can predispose to cancer. Ionizing radiation can cause cluster damage and double-strand breaks (DSBs) that pose problems for cellular repair processes. Three genes (ATM, BRCA1, and BRCA2) encode products that are essential for the normal cellular response to DSBs, but predispose to breast cancer when mutated.Design To examine the joint roles of radiation exposure and genetic susceptibility in the etiology of breast cancer, we designed a case-control study nested within five population-based cancer registries. We hypothesized that a woman carrying a mutant allele in one of these genes is more susceptible to radiation-induced breast cancer than is a non-carrier. In our study, 700 women with asynchronous bilateral breast cancer were individually matched to 1400 controls with unilateral breast cancer on date and age at diagnosis of the first breast cancer, race, and registry region, and counter-matched on radiation therapy. Each triplet comprised two women who received radiation therapy and one woman who did not. Radiation absorbed dose to the contralateral breast after initial treatment was estimated with a comprehensive dose reconstruction approach that included experimental measurements in anthropomorphic and water phantoms applying patient treatment parameters. Blood samples were collected from all participants for genetic analyses.Conclusions Our study design improves the potential for detecting gene–environment interactions for diseases when both gene mutations and the environmental exposures of interest are rare in the general population. This is particularly applicable to the study of bilateral breast cancer because both radiation dose and genetic susceptibility have important etiologic roles, possibly by interactive mechanisms. By using counter-matching, we optimized the informativeness of the collected dosimetry data by increasing the variability of radiation dose within the case–control sets and enhanced our ability to detect radiation–genotype interactions.

Details

Language :
English
ISSN :
14655411 and 1465542X
Volume :
6
Issue :
3
Database :
Supplemental Index
Journal :
Breast Cancer Research
Publication Type :
Periodical
Accession number :
ejs6786257