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Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
Study design: evaluating gene-environment interactions in the etiology of breast cancer - the WECARE study
Jonine L Bernstein1, Bryan Langholz, Robert W Haile
1Department of Community and Preventive Medicine, Mount Sinai School of Medicine, New York, NY, USA. jonine.bernstein@mssm.edu
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.
Insights
Women with mutations in DNA repair genes like ATM, BRCA1, and BRCA2 may be more susceptible to radiation-induced breast cancer. This study investigated gene-environment interactions in bilateral breast cancer risk.
Area of Science:
- Oncology
- Genetics
- Radiation Biology
Background:
- Deficiencies in DNA damage response increase cancer risk.
- Ionizing radiation causes double-strand breaks (DSBs), challenging cellular repair.
- ATM, BRCA1, and BRCA2 gene mutations are linked to breast cancer susceptibility.
Purpose of the Study:
- To investigate the combined effects of radiation exposure and genetic susceptibility on breast cancer development.
- To test the hypothesis that carriers of mutant DNA repair alleles are more vulnerable to radiation-induced breast cancer.
Main Methods:
- A nested case-control study within five population-based cancer registries.
- Matched triplets (2 cases, 1 control) counter-matched on radiation therapy.
- Detailed radiation dose reconstruction to the contralateral breast.
- Genetic analysis of blood samples for gene mutations.
Main Results:
- The study design is optimized for detecting gene-environment interactions, especially for rare mutations and exposures.
- Bilateral breast cancer risk is influenced by both radiation dose and genetic susceptibility.
- Counter-matching enhanced the detection of radiation-genotype interactions.
Conclusions:
- The study design effectively addresses gene-environment interactions in complex diseases.
- Radiation dose and genetic susceptibility play significant roles in bilateral breast cancer etiology, likely through interaction.
- The methodology enhances the ability to identify individuals susceptible to radiation-induced cancers.
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