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Journal of Biomedicine and Biotechnology
Volume 2011 (2011), Article ID 571784, 9 pages
http://dx.doi.org/10.1155/2011/571784
Research Article

Variability in Estrogen-Metabolizing Genes and Their Association with Genomic Instability in Untreated Breast Cancer Patients and Healthy Women

1Department of Genetics, Faculty of Medicine of Ribeirão Preto, University of São Paulo, Bloco G., Avenue Bandeirantes, 3900, 14049-900 Ribeirão Preto, SP, Brazil
2Department of Gynecology and Obstetrics, Faculty of Medicine of Ribeirão Preto, University of São Paulo, 14049-900 Ribeirão Preto, SP, Brazil
3Department of Biology, Faculty of Philosophy, Sciences and Letters of Ribeirão, University of São Paulo, 14040-901 Ribeirão Preto, SP, Brazil

Received 17 February 2011; Accepted 17 April 2011

Academic Editor: Manoor Prakash Hande

Copyright © 2011 Raquel Alves dos Santos et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

In the present study, we investigated the relationship between polymorphisms in the estrogen-metabolizing genes CYP17, CYP1B1, CYP1A1, and COMT and genomic instability in the peripheral blood lymphocytes of 62 BC patients and 62 controls considering that increased or prolonged exposure to estrogen can damage the DNA molecule and increase the genomic instability process in breast tissue. Our data demonstrated increased genomic instability in BC patients and that individuals with higher frequencies of MN exhibited higher risk to BC when belonging Val/Met genotype of the COMT gene. We also observed that CYP17 and CYP1A1 polymorphisms can modify the risk to BC depending on the menopause status. We can conclude that the genetic background in estrogen metabolism pathway can modulate chromosome damage in healthy controls and patients and thereby influence the risk to BC. These findings suggest the importance to ally biomarkers of susceptibility and effects to estimate risk groups.