Mammographic density parameters and breast cancer tumor characteristics among postmenopausal women

Héctor A Velásquez García,1,2 Carolyn C Gotay,1 Christine M Wilson,3 Caroline A Lohrisch,4 Agnes S Lai,2 Kristan J Aronson,5 John J Spinelli1,21School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada; 2Population Oncology, BC Can...

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Autores principales:	Velásquez García HA, Gotay CC, Wilson CM, Lohrisch CA, Lai AS, Aronson KJ, Spinelli JJ
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2019
Materias:	Mammographic density breast cancer tumor characteristics heterogeneity multinomial logistic regression. Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Acceso en línea:	https://doaj.org/article/e6a6bf220c3544ab887342c60d993b2e
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spelling	oai:doaj.org-article:e6a6bf220c3544ab887342c60d993b2e2021-12-02T01:54:20ZMammographic density parameters and breast cancer tumor characteristics among postmenopausal women1179-1314https://doaj.org/article/e6a6bf220c3544ab887342c60d993b2e2019-08-01T00:00:00Zhttps://www.dovepress.com/mammographic-density-parameters-and-breast-cancer-tumor-characteristic-peer-reviewed-article-BCTThttps://doaj.org/toc/1179-1314Héctor A Velásquez García,1,2 Carolyn C Gotay,1 Christine M Wilson,3 Caroline A Lohrisch,4 Agnes S Lai,2 Kristan J Aronson,5 John J Spinelli1,21School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada; 2Population Oncology, BC Cancer, Vancouver, BC, Canada; 3Screening Mammography Program, BC Cancer, Vancouver, BC, Canada; 4Department of Medical Oncology, BC Cancer, Vancouver, BC, Canada; 5Department of Public Health Sciences and Division of Cancer Care and Epidemiology, Cancer Research Institute, Queen’s University, Kingston, ON, CanadaCorrespondence: Héctor A Velásquez GarcíaPopulation Oncology, BC Cancer, 8 th floor, 686 West Broadway, Vancouver, BC V5Z 1G1, CanadaTel +1604 877 6068Fax +1 604 877 6212Email hector.velasquezgarcia@alumni.ubc.caPurpose: Mammographic density is an important breast cancer risk factor, although it is not clear whether the association differs across breast cancer tumor subtypes. We examined the association between indicators of mammographic density and breast cancer risk by tumor subtype among postmenopausal women by investigating heterogeneity across tumor characteristics.Methods: Mammographic density measures were determined for 477 breast cancer cases and 588 controls, all postmenopausal, in Vancouver, British Columbia, using digitized screening mammograms and Cumulus software. Mammographic dense (DA), non-dense (NDA), and percent dense (PDA) areas were treated as continuous covariates and categorized into quartiles according to the distribution in controls. For cases only, tests for heterogeneity between tumor subtypes were assessed by multinomial logistic regression. Associations between mammographic density and breast cancer risk were modeled for each subtype separately through unconditional logistic regression.Results: Heterogeneity was apparent for the association of PDA with tumor size (p-heterogeneity=0.04). Risk did not differ across the other assessed tumor characteristics (p-heterogeneity values >0.05).Conclusion: These findings do not provide strong evidence that mammographic density parameters differentially affect specific breast cancer tumor characteristics.Keywords: mammographic density, breast cancer, tumor characteristics, heterogeneity, multinomial logistic regressionVelásquez García HAGotay CCWilson CMLohrisch CALai ASAronson KJSpinelli JJDove Medical PressarticleMammographic densitybreast cancertumor characteristicsheterogeneitymultinomial logistic regression.Neoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENBreast Cancer: Targets and Therapy, Vol Volume 11, Pp 261-271 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Mammographic density breast cancer tumor characteristics heterogeneity multinomial logistic regression. Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
spellingShingle	Mammographic density breast cancer tumor characteristics heterogeneity multinomial logistic regression. Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Velásquez García HA Gotay CC Wilson CM Lohrisch CA Lai AS Aronson KJ Spinelli JJ Mammographic density parameters and breast cancer tumor characteristics among postmenopausal women
description	Héctor A Velásquez García,1,2 Carolyn C Gotay,1 Christine M Wilson,3 Caroline A Lohrisch,4 Agnes S Lai,2 Kristan J Aronson,5 John J Spinelli1,21School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada; 2Population Oncology, BC Cancer, Vancouver, BC, Canada; 3Screening Mammography Program, BC Cancer, Vancouver, BC, Canada; 4Department of Medical Oncology, BC Cancer, Vancouver, BC, Canada; 5Department of Public Health Sciences and Division of Cancer Care and Epidemiology, Cancer Research Institute, Queen’s University, Kingston, ON, CanadaCorrespondence: Héctor A Velásquez GarcíaPopulation Oncology, BC Cancer, 8 th floor, 686 West Broadway, Vancouver, BC V5Z 1G1, CanadaTel +1604 877 6068Fax +1 604 877 6212Email hector.velasquezgarcia@alumni.ubc.caPurpose: Mammographic density is an important breast cancer risk factor, although it is not clear whether the association differs across breast cancer tumor subtypes. We examined the association between indicators of mammographic density and breast cancer risk by tumor subtype among postmenopausal women by investigating heterogeneity across tumor characteristics.Methods: Mammographic density measures were determined for 477 breast cancer cases and 588 controls, all postmenopausal, in Vancouver, British Columbia, using digitized screening mammograms and Cumulus software. Mammographic dense (DA), non-dense (NDA), and percent dense (PDA) areas were treated as continuous covariates and categorized into quartiles according to the distribution in controls. For cases only, tests for heterogeneity between tumor subtypes were assessed by multinomial logistic regression. Associations between mammographic density and breast cancer risk were modeled for each subtype separately through unconditional logistic regression.Results: Heterogeneity was apparent for the association of PDA with tumor size (p-heterogeneity=0.04). Risk did not differ across the other assessed tumor characteristics (p-heterogeneity values >0.05).Conclusion: These findings do not provide strong evidence that mammographic density parameters differentially affect specific breast cancer tumor characteristics.Keywords: mammographic density, breast cancer, tumor characteristics, heterogeneity, multinomial logistic regression
format	article
author	Velásquez García HA Gotay CC Wilson CM Lohrisch CA Lai AS Aronson KJ Spinelli JJ
author_facet	Velásquez García HA Gotay CC Wilson CM Lohrisch CA Lai AS Aronson KJ Spinelli JJ
author_sort	Velásquez García HA
title	Mammographic density parameters and breast cancer tumor characteristics among postmenopausal women
title_short	Mammographic density parameters and breast cancer tumor characteristics among postmenopausal women
title_full	Mammographic density parameters and breast cancer tumor characteristics among postmenopausal women
title_fullStr	Mammographic density parameters and breast cancer tumor characteristics among postmenopausal women
title_full_unstemmed	Mammographic density parameters and breast cancer tumor characteristics among postmenopausal women
title_sort	mammographic density parameters and breast cancer tumor characteristics among postmenopausal women
publisher	Dove Medical Press
publishDate	2019
url	https://doaj.org/article/e6a6bf220c3544ab887342c60d993b2e
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_version_	1718402871214473216

Mammographic density parameters and breast cancer tumor characteristics among postmenopausal women

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