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Friday, June 23rd, 2017
Table of Contents

1 Introduction
5 PMID
 [F] Diseases Research  / PubMed Research Articles  /
Interaction of mammographic breast density with menopausal status and postmenopausal hormone use in relation to the risk of aggressive breast cancer subtypes.

PubMed

 

Resource

Breast cancer research and treatment 2017 Jun 18; ()

Authors

Yaghjyan L1; Tamimi RM2; Bertrand KA3; Scott CG4; Jensen MR5; Pankratz VS6; Brandt K7; Visscher D8; Norman A9; Couch F10; Shepherd J11; Fan B12; Chen YY13; Ma L14; Beck AH15; Cummings SR16; Kerlikowske K17; Vachon CM18;

Author Information
  • 1Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, 2004 Mowry Road, Gainesville, FL, 32610, USA. lyaghjyan@ufl.edu.
  • 2Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 181 Longwood Avenue, Boston, MA, 02115, USA.
  • 3Slone Epidemiology Center at Boston University, Boston, MA, USA.
  • 4Division of Biomedical Statistics and Informatics, Mayo Clinic College of Medicine, 200 First Street SW, Rochester, MN, 55905, USA.
  • 5Division of Biomedical Statistics and Informatics, Mayo Clinic College of Medicine, 200 First Street SW, Rochester, MN, 55905, USA.
  • 6Division of Biomedical Statistics and Informatics, Mayo Clinic College of Medicine, 200 First Street SW, Rochester, MN, 55905, USA.
  • 7Department of Radiology, Mayo Clinic, Rochester, MN, 55905, USA.
  • 8Department of Anatomic Pathology, Mayo Clinic College of Medicine, 200 First Street SW, Rochester, MN, 55905, USA.
  • 9Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic College of Medicine, 200 First Street SW, Rochester, MN, 55905, USA.
  • 10Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic College of Medicine, 200 First Street SW, Rochester, MN, 55905, USA.
  • 11Department of Radiology, University of California, 1 Irving Street, AC109, San Francisco, CA, 94143, USA.
  • 12Department of Pathology, University of California, 505 Parnassus AvenueRoom M559, Box 0102, San Francisco, CA, 94143, USA.
  • 13Department of Pathology, University of California, 505 Parnassus AvenueRoom M559, Box 0102, San Francisco, CA, 94143, USA.
  • 14Department of Medicine, University of California, 1635 Divisadero St. Suite 600, Box 1793, San Francisco, CA, USA.
  • 15Department of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Avenue, Boston, MA, 02215, USA.
  • 16San Francisco Coordinating Center, California Pacific Medical Center Research Institute, 475 Brannan Street, Suite 220, San Francisco, CA, 94107, USA.
  • 17Departments of Medicine and Epidemiology and Biostatistics, University of California, 4150 Clement Street, Mailing Code 111A1, San Francisco, CA, 94121, USA.
  • 18Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic College of Medicine, 200 First Street SW, Rochester, MN, 55905, USA.

Abstract

PURPOSE: We examined the associations of mammographic breast density with breast cancer risk by tumor aggressiveness and by menopausal status and current postmenopausal hormone therapy.

METHODS: This study included 2596 invasive breast cancer cases and 4059 controls selected from participants of four nested case-control studies within four established cohorts: the Mayo Mammography Health Study, the Nurses' Health Study, Nurses' Health Study II, and San Francisco Mammography Registry. Percent breast density (PD), absolute dense (DA), and non-dense areas (NDA) were assessed from digitized film-screen mammograms using a computer-assisted threshold technique and standardized across studies. We used polytomous logistic regression to quantify the associations of breast density with breast cancer risk by tumor aggressiveness (defined as presence of at least two of the following tumor characteristics: size ≥2 cm, grade 2/3, ER-negative status, or positive nodes), stratified by menopausal status and current hormone therapy.

RESULTS: Overall, the positive association of PD and borderline inverse association of NDA with breast cancer risk was stronger in aggressive vs. non-aggressive tumors (≥51 vs. 11-25% OR 2.50, 95% CI 1.94-3.22 vs. OR 2.03, 95% CI 1.70-2.43, p-heterogeneity = 0.03; NDA 4th vs. 2nd quartile OR 0.54, 95% CI 0.41-0.70 vs. OR 0.71, 95% CI 0.59-0.85, p-heterogeneity = 0.07). However, there were no differences in the association of DA with breast cancer by aggressive status. In the stratified analysis, there was also evidence of a stronger association of PD and NDA with aggressive tumors among postmenopausal women and, in particular, current estrogen+progesterone users (≥51 vs. 11-25% OR 3.24, 95% CI 1.75-6.00 vs. OR 1.93, 95% CI 1.25-2.98, p-heterogeneity = 0.01; NDA 4th vs. 2nd quartile OR 0.43, 95% CI 0.21-0.85 vs. OR 0.56, 95% CI 0.35-0.89, p-heterogeneity = 0.01), even though the interaction was not significant.

CONCLUSION: Our findings suggest that associations of mammographic density with breast cancer risk differ by tumor aggressiveness. While there was no strong evidence that these associations differed by menopausal status or hormone therapy, they did appear more prominent among current estrogen+progesterone users.



PMID

28624977

Others

Publication Type: Journal Article


This article is licensed under the the National Library of Medicine License. It uses material from the PubMed National Library of Medicine Data.


Last Modified:   2016-03-27


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