Full-term pregnancy induces a specific genomic signature in the human breast

Autores
Russo, José; Balogh, Gabriela Andrea; Russo, Irma H.; Fox Chase Cancer Center Hospital Network Participants
Año de publicación
2008
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Breast cancer riskhas traditionally been linked to nulliparity or late first full-term pregnancy, whereas young age at first childbirth, multiparity, and breastfeeding are associated with a reduced risk. Early pregnancy confers protection by inducing breast differentiation, which imprints a specific and permanent genomic signature in experimental rodent models. For testing whether the same phenomenon was detectable in the atrophic breast of postmenopausal parous women, we designed a case-control study for the analysis of the gene expression profile of RNA extracted from epithelial cells microdissected from normal breast tissues obtained from 18 parous and 7 nulliparous women free of breast pathology (controls), and 41 parous and 8 nulliparous women with history of breast cancer (cases). RNA was hybridized to cDNA glass microarrays containing 40,000 genes; arrays were scanned and the images were analyzed using ImaGene software version 4.2. Normalization and statistical analysis were carried out using Linear Models for Microarrays and GeneSight software for hierarchical clustering. The parous control group contained 2,541 gene sequences representing 18 biological processes that were differentially expressed in comparison with the other three groups. Hierarchical clustering of these genes revealed that the combined parity/absence of breast cancer data generated a distinct genomic profile that differed from those of the breast cancer groups, irrespective of parity history, and from the nulliparous cancer-free group, which has been traditionally identified as a high-risk group. The signature that identifies those women in whom parity has been protective will serve as a molecular biomarker of differentiation for evaluating the potential use of preventive agents.
Fil: Russo, José. Breast Cancer Research Laboratory. Fox Chase Cancer Center; Estados Unidos
Fil: Balogh, Gabriela Andrea. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiarida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiarida; Argentina
Fil: Russo, Irma H.. Breast Cancer Research Laboratory. Fox Chase Cancer Center; Estados Unidos
Fil: Fox Chase Cancer Center Hospital Network Participants.
Materia
Breast Cancer
Prevention
Biomarkers
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:11336/20146
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/20146
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Full-term pregnancy induces a specific genomic signature in the human breastRusso, JoséBalogh, Gabriela AndreaRusso, Irma H.Fox Chase Cancer Center Hospital Network ParticipantsBreast CancerPreventionBiomarkershttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Breast cancer riskhas traditionally been linked to nulliparity or late first full-term pregnancy, whereas young age at first childbirth, multiparity, and breastfeeding are associated with a reduced risk. Early pregnancy confers protection by inducing breast differentiation, which imprints a specific and permanent genomic signature in experimental rodent models. For testing whether the same phenomenon was detectable in the atrophic breast of postmenopausal parous women, we designed a case-control study for the analysis of the gene expression profile of RNA extracted from epithelial cells microdissected from normal breast tissues obtained from 18 parous and 7 nulliparous women free of breast pathology (controls), and 41 parous and 8 nulliparous women with history of breast cancer (cases). RNA was hybridized to cDNA glass microarrays containing 40,000 genes; arrays were scanned and the images were analyzed using ImaGene software version 4.2. Normalization and statistical analysis were carried out using Linear Models for Microarrays and GeneSight software for hierarchical clustering. The parous control group contained 2,541 gene sequences representing 18 biological processes that were differentially expressed in comparison with the other three groups. Hierarchical clustering of these genes revealed that the combined parity/absence of breast cancer data generated a distinct genomic profile that differed from those of the breast cancer groups, irrespective of parity history, and from the nulliparous cancer-free group, which has been traditionally identified as a high-risk group. The signature that identifies those women in whom parity has been protective will serve as a molecular biomarker of differentiation for evaluating the potential use of preventive agents.Fil: Russo, José. Breast Cancer Research Laboratory. Fox Chase Cancer Center; Estados UnidosFil: Balogh, Gabriela Andrea. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiarida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiarida; ArgentinaFil: Russo, Irma H.. Breast Cancer Research Laboratory. Fox Chase Cancer Center; Estados UnidosFil: Fox Chase Cancer Center Hospital Network Participants.American Association for Cancer Research2008-01-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/20146Russo, José; Balogh, Gabriela Andrea; Russo, Irma H.; Fox Chase Cancer Center Hospital Network Participants; Full-term pregnancy induces a specific genomic signature in the human breast; American Association for Cancer Research; Cancer Epidemiology, Biomarkers & Prevention; 17; 1; 16-1-2008; 51-661055-99651538-7755CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1158/1055-9965.EPI-07-0678info:eu-repo/semantics/altIdentifier/url/http://cebp.aacrjournals.org/content/17/1/51.fullinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:05:52Zoai:ri.conicet.gov.ar:11336/20146instacron: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 10:05:52.516CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Full-term pregnancy induces a specific genomic signature in the human breast
title Full-term pregnancy induces a specific genomic signature in the human breast
spellingShingle Full-term pregnancy induces a specific genomic signature in the human breast
Russo, José
Breast Cancer
Prevention
Biomarkers
title_short Full-term pregnancy induces a specific genomic signature in the human breast
title_full Full-term pregnancy induces a specific genomic signature in the human breast
title_fullStr Full-term pregnancy induces a specific genomic signature in the human breast
title_full_unstemmed Full-term pregnancy induces a specific genomic signature in the human breast
title_sort Full-term pregnancy induces a specific genomic signature in the human breast
dc.creator.none.fl_str_mv Russo, José
Balogh, Gabriela Andrea
Russo, Irma H.
Fox Chase Cancer Center Hospital Network Participants
author Russo, José
author_facet Russo, José
Balogh, Gabriela Andrea
Russo, Irma H.
Fox Chase Cancer Center Hospital Network Participants
author_role author
author2 Balogh, Gabriela Andrea
Russo, Irma H.
Fox Chase Cancer Center Hospital Network Participants
author2_role author
author
author
dc.subject.none.fl_str_mv Breast Cancer
Prevention
Biomarkers
topic Breast Cancer
Prevention
Biomarkers
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Breast cancer riskhas traditionally been linked to nulliparity or late first full-term pregnancy, whereas young age at first childbirth, multiparity, and breastfeeding are associated with a reduced risk. Early pregnancy confers protection by inducing breast differentiation, which imprints a specific and permanent genomic signature in experimental rodent models. For testing whether the same phenomenon was detectable in the atrophic breast of postmenopausal parous women, we designed a case-control study for the analysis of the gene expression profile of RNA extracted from epithelial cells microdissected from normal breast tissues obtained from 18 parous and 7 nulliparous women free of breast pathology (controls), and 41 parous and 8 nulliparous women with history of breast cancer (cases). RNA was hybridized to cDNA glass microarrays containing 40,000 genes; arrays were scanned and the images were analyzed using ImaGene software version 4.2. Normalization and statistical analysis were carried out using Linear Models for Microarrays and GeneSight software for hierarchical clustering. The parous control group contained 2,541 gene sequences representing 18 biological processes that were differentially expressed in comparison with the other three groups. Hierarchical clustering of these genes revealed that the combined parity/absence of breast cancer data generated a distinct genomic profile that differed from those of the breast cancer groups, irrespective of parity history, and from the nulliparous cancer-free group, which has been traditionally identified as a high-risk group. The signature that identifies those women in whom parity has been protective will serve as a molecular biomarker of differentiation for evaluating the potential use of preventive agents.
Fil: Russo, José. Breast Cancer Research Laboratory. Fox Chase Cancer Center; Estados Unidos
Fil: Balogh, Gabriela Andrea. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiarida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiarida; Argentina
Fil: Russo, Irma H.. Breast Cancer Research Laboratory. Fox Chase Cancer Center; Estados Unidos
Fil: Fox Chase Cancer Center Hospital Network Participants.
description Breast cancer riskhas traditionally been linked to nulliparity or late first full-term pregnancy, whereas young age at first childbirth, multiparity, and breastfeeding are associated with a reduced risk. Early pregnancy confers protection by inducing breast differentiation, which imprints a specific and permanent genomic signature in experimental rodent models. For testing whether the same phenomenon was detectable in the atrophic breast of postmenopausal parous women, we designed a case-control study for the analysis of the gene expression profile of RNA extracted from epithelial cells microdissected from normal breast tissues obtained from 18 parous and 7 nulliparous women free of breast pathology (controls), and 41 parous and 8 nulliparous women with history of breast cancer (cases). RNA was hybridized to cDNA glass microarrays containing 40,000 genes; arrays were scanned and the images were analyzed using ImaGene software version 4.2. Normalization and statistical analysis were carried out using Linear Models for Microarrays and GeneSight software for hierarchical clustering. The parous control group contained 2,541 gene sequences representing 18 biological processes that were differentially expressed in comparison with the other three groups. Hierarchical clustering of these genes revealed that the combined parity/absence of breast cancer data generated a distinct genomic profile that differed from those of the breast cancer groups, irrespective of parity history, and from the nulliparous cancer-free group, which has been traditionally identified as a high-risk group. The signature that identifies those women in whom parity has been protective will serve as a molecular biomarker of differentiation for evaluating the potential use of preventive agents.
publishDate 2008
dc.date.none.fl_str_mv 2008-01-16
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/11336/20146
Russo, José; Balogh, Gabriela Andrea; Russo, Irma H.; Fox Chase Cancer Center Hospital Network Participants; Full-term pregnancy induces a specific genomic signature in the human breast; American Association for Cancer Research; Cancer Epidemiology, Biomarkers & Prevention; 17; 1; 16-1-2008; 51-66
1055-9965
1538-7755
CONICET Digital
CONICET
url http://hdl.handle.net/11336/20146
identifier_str_mv Russo, José; Balogh, Gabriela Andrea; Russo, Irma H.; Fox Chase Cancer Center Hospital Network Participants; Full-term pregnancy induces a specific genomic signature in the human breast; American Association for Cancer Research; Cancer Epidemiology, Biomarkers & Prevention; 17; 1; 16-1-2008; 51-66
1055-9965
1538-7755
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1158/1055-9965.EPI-07-0678
info:eu-repo/semantics/altIdentifier/url/http://cebp.aacrjournals.org/content/17/1/51.full
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 American Association for Cancer Research
publisher.none.fl_str_mv American Association for Cancer Research
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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score 13.13397

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