Polymorphism Analysis of Genes Involved in Xenobiotic Metabolism and Circadian Rhythm in Human Breast Cancer

Autores
Cerliani, María Belén; Richard, Silvina Mariel
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Individual response to xenobiotic exposures depends on the dynamics of xenobiotic metabolism and the circadian clock system, among other factors. Since these systems are closely related, polymorphisms in their key genes may have an impact on how carcinogenic compounds are metabolized, and therefore on the risk of tumor development. Whereas the mammary gland is exposed to agents that damage DNA, it was considered of high interest to study xenobiotic metabolizing genes (XMG) and clock genes in this tissue. Our aim was to analyze genotype and allele frequencies of polymorphisms in the XMG N-acetyl transferase 2 (NAT2) and glutathione S-transferase T1 (GSTT1), and in the clock genes period 3 (PER3) and CLOCK in human breast tumor samples. As well, it was if these polymorphisms were in linkage disequilibrium. 65 samples were genotyped for polymorphisms in GSTT1 (null), NAT2 (C481T, G590A and G857A), CLOCK (T3111C) and PER3 (length polymorphism), by PCR and PCR-RFLP. For GSTT1, 20% of the samples showed total absence of the gene. When NAT2 genotypes were grouped by their associated acetylator phenotype, 5% of rapid, 49% of intermediate and 46% of slow acetylator phenotypes were indicated. Allele frequencies for CLOCK were T=0.78 and C=0.22; for PER3, they were 0.66 for the 4-repeats allele and 0.34 for the 5-repeats allele. Linkage disequilibrium test indicated evidence of strong linkage between NAT2 and CLOCK (χ2=13.076; p=0.005). With regard to allele and genotype frequencies, our results are in agreement with those reported for similar populations. The evidence of linkage disequilibrium in our breast cancer samples is interesting and requires further investigation. This work constitutes a first approximation to a combined study of polymorphisms in XMG and clock genes in breast cancer Argentinian patients. Future studies will attempt to address the role of these and other polymorphisms in cancer risk, prognosis and response to treatment.
Fil: Cerliani, María Belén. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto Multidisciplinario de Biología Celular. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto Multidisciplinario de Biología Celular. Universidad Nacional de La Plata. Instituto Multidisciplinario de Biología Celular; Argentina
Fil: Richard, Silvina Mariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto Multidisciplinario de Biología Celular. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto Multidisciplinario de Biología Celular. Universidad Nacional de La Plata. Instituto Multidisciplinario de Biología Celular; Argentina
Materia
Breast Cancer
Xenobiotic Metabolism
Circadian Rhythm
NAT2
GSTT1
Clock Genes
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/24386

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network_name_str CONICET Digital (CONICET)
spelling Polymorphism Analysis of Genes Involved in Xenobiotic Metabolism and Circadian Rhythm in Human Breast CancerCerliani, María BelénRichard, Silvina MarielBreast CancerXenobiotic MetabolismCircadian RhythmNAT2GSTT1Clock Geneshttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1https://purl.org/becyt/ford/3.1https://purl.org/becyt/ford/3Individual response to xenobiotic exposures depends on the dynamics of xenobiotic metabolism and the circadian clock system, among other factors. Since these systems are closely related, polymorphisms in their key genes may have an impact on how carcinogenic compounds are metabolized, and therefore on the risk of tumor development. Whereas the mammary gland is exposed to agents that damage DNA, it was considered of high interest to study xenobiotic metabolizing genes (XMG) and clock genes in this tissue. Our aim was to analyze genotype and allele frequencies of polymorphisms in the XMG N-acetyl transferase 2 (NAT2) and glutathione S-transferase T1 (GSTT1), and in the clock genes period 3 (PER3) and CLOCK in human breast tumor samples. As well, it was if these polymorphisms were in linkage disequilibrium. 65 samples were genotyped for polymorphisms in GSTT1 (null), NAT2 (C481T, G590A and G857A), CLOCK (T3111C) and PER3 (length polymorphism), by PCR and PCR-RFLP. For GSTT1, 20% of the samples showed total absence of the gene. When NAT2 genotypes were grouped by their associated acetylator phenotype, 5% of rapid, 49% of intermediate and 46% of slow acetylator phenotypes were indicated. Allele frequencies for CLOCK were T=0.78 and C=0.22; for PER3, they were 0.66 for the 4-repeats allele and 0.34 for the 5-repeats allele. Linkage disequilibrium test indicated evidence of strong linkage between NAT2 and CLOCK (χ2=13.076; p=0.005). With regard to allele and genotype frequencies, our results are in agreement with those reported for similar populations. The evidence of linkage disequilibrium in our breast cancer samples is interesting and requires further investigation. This work constitutes a first approximation to a combined study of polymorphisms in XMG and clock genes in breast cancer Argentinian patients. Future studies will attempt to address the role of these and other polymorphisms in cancer risk, prognosis and response to treatment.Fil: Cerliani, María Belén. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto Multidisciplinario de Biología Celular. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto Multidisciplinario de Biología Celular. Universidad Nacional de La Plata. Instituto Multidisciplinario de Biología Celular; ArgentinaFil: Richard, Silvina Mariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto Multidisciplinario de Biología Celular. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto Multidisciplinario de Biología Celular. Universidad Nacional de La Plata. Instituto Multidisciplinario de Biología Celular; ArgentinaScience and Engineering Publishing Company2013-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/24386Cerliani, María Belén; Richard, Silvina Mariel; Polymorphism Analysis of Genes Involved in Xenobiotic Metabolism and Circadian Rhythm in Human Breast Cancer; Science and Engineering Publishing Company; International Journal of Advance in Medical Science (AMS); 1; 4; 11-2013; 57-642327-72382327-7629CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.seipub.org/ams/paperInfo.aspx?ID=3722#Abstractinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:57:48Zoai:ri.conicet.gov.ar:11336/24386instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:57:48.314CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Polymorphism Analysis of Genes Involved in Xenobiotic Metabolism and Circadian Rhythm in Human Breast Cancer
title Polymorphism Analysis of Genes Involved in Xenobiotic Metabolism and Circadian Rhythm in Human Breast Cancer
spellingShingle Polymorphism Analysis of Genes Involved in Xenobiotic Metabolism and Circadian Rhythm in Human Breast Cancer
Cerliani, María Belén
Breast Cancer
Xenobiotic Metabolism
Circadian Rhythm
NAT2
GSTT1
Clock Genes
title_short Polymorphism Analysis of Genes Involved in Xenobiotic Metabolism and Circadian Rhythm in Human Breast Cancer
title_full Polymorphism Analysis of Genes Involved in Xenobiotic Metabolism and Circadian Rhythm in Human Breast Cancer
title_fullStr Polymorphism Analysis of Genes Involved in Xenobiotic Metabolism and Circadian Rhythm in Human Breast Cancer
title_full_unstemmed Polymorphism Analysis of Genes Involved in Xenobiotic Metabolism and Circadian Rhythm in Human Breast Cancer
title_sort Polymorphism Analysis of Genes Involved in Xenobiotic Metabolism and Circadian Rhythm in Human Breast Cancer
dc.creator.none.fl_str_mv Cerliani, María Belén
Richard, Silvina Mariel
author Cerliani, María Belén
author_facet Cerliani, María Belén
Richard, Silvina Mariel
author_role author
author2 Richard, Silvina Mariel
author2_role author
dc.subject.none.fl_str_mv Breast Cancer
Xenobiotic Metabolism
Circadian Rhythm
NAT2
GSTT1
Clock Genes
topic Breast Cancer
Xenobiotic Metabolism
Circadian Rhythm
NAT2
GSTT1
Clock Genes
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
https://purl.org/becyt/ford/3.1
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Individual response to xenobiotic exposures depends on the dynamics of xenobiotic metabolism and the circadian clock system, among other factors. Since these systems are closely related, polymorphisms in their key genes may have an impact on how carcinogenic compounds are metabolized, and therefore on the risk of tumor development. Whereas the mammary gland is exposed to agents that damage DNA, it was considered of high interest to study xenobiotic metabolizing genes (XMG) and clock genes in this tissue. Our aim was to analyze genotype and allele frequencies of polymorphisms in the XMG N-acetyl transferase 2 (NAT2) and glutathione S-transferase T1 (GSTT1), and in the clock genes period 3 (PER3) and CLOCK in human breast tumor samples. As well, it was if these polymorphisms were in linkage disequilibrium. 65 samples were genotyped for polymorphisms in GSTT1 (null), NAT2 (C481T, G590A and G857A), CLOCK (T3111C) and PER3 (length polymorphism), by PCR and PCR-RFLP. For GSTT1, 20% of the samples showed total absence of the gene. When NAT2 genotypes were grouped by their associated acetylator phenotype, 5% of rapid, 49% of intermediate and 46% of slow acetylator phenotypes were indicated. Allele frequencies for CLOCK were T=0.78 and C=0.22; for PER3, they were 0.66 for the 4-repeats allele and 0.34 for the 5-repeats allele. Linkage disequilibrium test indicated evidence of strong linkage between NAT2 and CLOCK (χ2=13.076; p=0.005). With regard to allele and genotype frequencies, our results are in agreement with those reported for similar populations. The evidence of linkage disequilibrium in our breast cancer samples is interesting and requires further investigation. This work constitutes a first approximation to a combined study of polymorphisms in XMG and clock genes in breast cancer Argentinian patients. Future studies will attempt to address the role of these and other polymorphisms in cancer risk, prognosis and response to treatment.
Fil: Cerliani, María Belén. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto Multidisciplinario de Biología Celular. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto Multidisciplinario de Biología Celular. Universidad Nacional de La Plata. Instituto Multidisciplinario de Biología Celular; Argentina
Fil: Richard, Silvina Mariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto Multidisciplinario de Biología Celular. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto Multidisciplinario de Biología Celular. Universidad Nacional de La Plata. Instituto Multidisciplinario de Biología Celular; Argentina
description Individual response to xenobiotic exposures depends on the dynamics of xenobiotic metabolism and the circadian clock system, among other factors. Since these systems are closely related, polymorphisms in their key genes may have an impact on how carcinogenic compounds are metabolized, and therefore on the risk of tumor development. Whereas the mammary gland is exposed to agents that damage DNA, it was considered of high interest to study xenobiotic metabolizing genes (XMG) and clock genes in this tissue. Our aim was to analyze genotype and allele frequencies of polymorphisms in the XMG N-acetyl transferase 2 (NAT2) and glutathione S-transferase T1 (GSTT1), and in the clock genes period 3 (PER3) and CLOCK in human breast tumor samples. As well, it was if these polymorphisms were in linkage disequilibrium. 65 samples were genotyped for polymorphisms in GSTT1 (null), NAT2 (C481T, G590A and G857A), CLOCK (T3111C) and PER3 (length polymorphism), by PCR and PCR-RFLP. For GSTT1, 20% of the samples showed total absence of the gene. When NAT2 genotypes were grouped by their associated acetylator phenotype, 5% of rapid, 49% of intermediate and 46% of slow acetylator phenotypes were indicated. Allele frequencies for CLOCK were T=0.78 and C=0.22; for PER3, they were 0.66 for the 4-repeats allele and 0.34 for the 5-repeats allele. Linkage disequilibrium test indicated evidence of strong linkage between NAT2 and CLOCK (χ2=13.076; p=0.005). With regard to allele and genotype frequencies, our results are in agreement with those reported for similar populations. The evidence of linkage disequilibrium in our breast cancer samples is interesting and requires further investigation. This work constitutes a first approximation to a combined study of polymorphisms in XMG and clock genes in breast cancer Argentinian patients. Future studies will attempt to address the role of these and other polymorphisms in cancer risk, prognosis and response to treatment.
publishDate 2013
dc.date.none.fl_str_mv 2013-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/24386
Cerliani, María Belén; Richard, Silvina Mariel; Polymorphism Analysis of Genes Involved in Xenobiotic Metabolism and Circadian Rhythm in Human Breast Cancer; Science and Engineering Publishing Company; International Journal of Advance in Medical Science (AMS); 1; 4; 11-2013; 57-64
2327-7238
2327-7629
CONICET Digital
CONICET
url http://hdl.handle.net/11336/24386
identifier_str_mv Cerliani, María Belén; Richard, Silvina Mariel; Polymorphism Analysis of Genes Involved in Xenobiotic Metabolism and Circadian Rhythm in Human Breast Cancer; Science and Engineering Publishing Company; International Journal of Advance in Medical Science (AMS); 1; 4; 11-2013; 57-64
2327-7238
2327-7629
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.seipub.org/ams/paperInfo.aspx?ID=3722#Abstract
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Science and Engineering Publishing Company
publisher.none.fl_str_mv Science and Engineering Publishing Company
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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