Polymorphism in CYP17, GSTM1 and the progesterone receptor genes and its relationship with mammographic density
Autor(a) principal: | |
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Data de Publicação: | 2009 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Journal of Medical and Biological Research |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2009000400003 |
Resumo: | Radiologic breast density is one of the predictive factors for breast cancer and the extent of the density is directly related to postmenopause. However, some patients have dense breasts even during postmenopause. This condition may be explained by the genes that codify for the proteins involved in the biosynthesis, as well as the activity and metabolism of steroid hormones. They are polymorphic, which could explain the variations of individual hormones and, consequently, breast density. The constant need to find markers that may assist in the primary prevention of breast cancer as well as in selecting high risk patients motived this study. We determined the influence of genetic polymorphism of CYP17 (cytochrome P450c17, the gene involved in steroid hormone biosynthesis), GSTM1 (glutathione S-transferase M1, an enzyme involved in estrogen metabolism) and PROGINS (progesterone receptor), for association with high breast density. One hundred and twenty-three postmenopausal patients who were not on hormone therapy and had no clinical or mammographic breast alterations were included in the present study. The results of this study reveal that there was no association between dense breasts and CYP17 or GSTM1. There was a trend, which was not statistically significant (P = 0.084), towards the association between PROGINS polymorphism and dense breasts. However, multivariate logistic regression showed that wild-type PROGINS and mutated CYP17, taken together, resulted in a 4.87 times higher chance of having dense breasts (P = 0.030). In conclusion, in the present study, we were able to identify an association among polymorphisms, involved in estradiol biosyntheses as well as progesterone response, and radiological mammary density. |
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Brazilian Journal of Medical and Biological Research |
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Polymorphism in CYP17, GSTM1 and the progesterone receptor genes and its relationship with mammographic densityMammography17-alpha hydroxylase steroidGlutathione transferaseProgesterone receptorGenetic polymorphismRadiologic breast density is one of the predictive factors for breast cancer and the extent of the density is directly related to postmenopause. However, some patients have dense breasts even during postmenopause. This condition may be explained by the genes that codify for the proteins involved in the biosynthesis, as well as the activity and metabolism of steroid hormones. They are polymorphic, which could explain the variations of individual hormones and, consequently, breast density. The constant need to find markers that may assist in the primary prevention of breast cancer as well as in selecting high risk patients motived this study. We determined the influence of genetic polymorphism of CYP17 (cytochrome P450c17, the gene involved in steroid hormone biosynthesis), GSTM1 (glutathione S-transferase M1, an enzyme involved in estrogen metabolism) and PROGINS (progesterone receptor), for association with high breast density. One hundred and twenty-three postmenopausal patients who were not on hormone therapy and had no clinical or mammographic breast alterations were included in the present study. The results of this study reveal that there was no association between dense breasts and CYP17 or GSTM1. There was a trend, which was not statistically significant (P = 0.084), towards the association between PROGINS polymorphism and dense breasts. However, multivariate logistic regression showed that wild-type PROGINS and mutated CYP17, taken together, resulted in a 4.87 times higher chance of having dense breasts (P = 0.030). In conclusion, in the present study, we were able to identify an association among polymorphisms, involved in estradiol biosyntheses as well as progesterone response, and radiological mammary density.Associação Brasileira de Divulgação Científica2009-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2009000400003Brazilian Journal of Medical and Biological Research v.42 n.4 2009reponame:Brazilian Journal of Medical and Biological Researchinstname:Associação Brasileira de Divulgação Científica (ABDC)instacron:ABDC10.1590/S0100-879X2009000400003info:eu-repo/semantics/openAccessChambo,D.Kemp,C.Costa,A.M.M.Souza,N.C.N.Guerreiro da Silva,I.D.C.eng2009-03-20T00:00:00Zoai:scielo:S0100-879X2009000400003Revistahttps://www.bjournal.org/https://old.scielo.br/oai/scielo-oai.phpbjournal@terra.com.br||bjournal@terra.com.br1414-431X0100-879Xopendoar:2009-03-20T00:00Brazilian Journal of Medical and Biological Research - Associação Brasileira de Divulgação Científica (ABDC)false |
dc.title.none.fl_str_mv |
Polymorphism in CYP17, GSTM1 and the progesterone receptor genes and its relationship with mammographic density |
title |
Polymorphism in CYP17, GSTM1 and the progesterone receptor genes and its relationship with mammographic density |
spellingShingle |
Polymorphism in CYP17, GSTM1 and the progesterone receptor genes and its relationship with mammographic density Chambo,D. Mammography 17-alpha hydroxylase steroid Glutathione transferase Progesterone receptor Genetic polymorphism |
title_short |
Polymorphism in CYP17, GSTM1 and the progesterone receptor genes and its relationship with mammographic density |
title_full |
Polymorphism in CYP17, GSTM1 and the progesterone receptor genes and its relationship with mammographic density |
title_fullStr |
Polymorphism in CYP17, GSTM1 and the progesterone receptor genes and its relationship with mammographic density |
title_full_unstemmed |
Polymorphism in CYP17, GSTM1 and the progesterone receptor genes and its relationship with mammographic density |
title_sort |
Polymorphism in CYP17, GSTM1 and the progesterone receptor genes and its relationship with mammographic density |
author |
Chambo,D. |
author_facet |
Chambo,D. Kemp,C. Costa,A.M.M. Souza,N.C.N. Guerreiro da Silva,I.D.C. |
author_role |
author |
author2 |
Kemp,C. Costa,A.M.M. Souza,N.C.N. Guerreiro da Silva,I.D.C. |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Chambo,D. Kemp,C. Costa,A.M.M. Souza,N.C.N. Guerreiro da Silva,I.D.C. |
dc.subject.por.fl_str_mv |
Mammography 17-alpha hydroxylase steroid Glutathione transferase Progesterone receptor Genetic polymorphism |
topic |
Mammography 17-alpha hydroxylase steroid Glutathione transferase Progesterone receptor Genetic polymorphism |
description |
Radiologic breast density is one of the predictive factors for breast cancer and the extent of the density is directly related to postmenopause. However, some patients have dense breasts even during postmenopause. This condition may be explained by the genes that codify for the proteins involved in the biosynthesis, as well as the activity and metabolism of steroid hormones. They are polymorphic, which could explain the variations of individual hormones and, consequently, breast density. The constant need to find markers that may assist in the primary prevention of breast cancer as well as in selecting high risk patients motived this study. We determined the influence of genetic polymorphism of CYP17 (cytochrome P450c17, the gene involved in steroid hormone biosynthesis), GSTM1 (glutathione S-transferase M1, an enzyme involved in estrogen metabolism) and PROGINS (progesterone receptor), for association with high breast density. One hundred and twenty-three postmenopausal patients who were not on hormone therapy and had no clinical or mammographic breast alterations were included in the present study. The results of this study reveal that there was no association between dense breasts and CYP17 or GSTM1. There was a trend, which was not statistically significant (P = 0.084), towards the association between PROGINS polymorphism and dense breasts. However, multivariate logistic regression showed that wild-type PROGINS and mutated CYP17, taken together, resulted in a 4.87 times higher chance of having dense breasts (P = 0.030). In conclusion, in the present study, we were able to identify an association among polymorphisms, involved in estradiol biosyntheses as well as progesterone response, and radiological mammary density. |
publishDate |
2009 |
dc.date.none.fl_str_mv |
2009-04-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2009000400003 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2009000400003 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0100-879X2009000400003 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Associação Brasileira de Divulgação Científica |
publisher.none.fl_str_mv |
Associação Brasileira de Divulgação Científica |
dc.source.none.fl_str_mv |
Brazilian Journal of Medical and Biological Research v.42 n.4 2009 reponame:Brazilian Journal of Medical and Biological Research instname:Associação Brasileira de Divulgação Científica (ABDC) instacron:ABDC |
instname_str |
Associação Brasileira de Divulgação Científica (ABDC) |
instacron_str |
ABDC |
institution |
ABDC |
reponame_str |
Brazilian Journal of Medical and Biological Research |
collection |
Brazilian Journal of Medical and Biological Research |
repository.name.fl_str_mv |
Brazilian Journal of Medical and Biological Research - Associação Brasileira de Divulgação Científica (ABDC) |
repository.mail.fl_str_mv |
bjournal@terra.com.br||bjournal@terra.com.br |
_version_ |
1754302937225494528 |