Relationship of Serum Estrogens and Metabolites with Area and Volume Mammographic Densities

Gretchen L. Gierach, Deesha A. Patel, Roni T. Falk, Ruth M. Pfeiffer, Berta M. Geller, Pamela M. Vacek, Donald L. Weaver, Rachael E. Chicoine, John A. Shepherd, Amir Pasha Mahmoudzadeh, Jeff Wang, Bo Fan, Sally D. Herschorn, Xia Xu, Timothy Veenstra, Barbara Fuhrman, Mark E. Sherman, Louise A. Brinton

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Elevated mammographic density is a breast cancer risk factor, which has a suggestive, but unproven, relationship with increased exposure to sex steroid hormones. We examined associations of serum estrogens and estrogen metabolites with area and novel volume mammographic density measures among 187 women, ages 40–65, undergoing diagnostic breast biopsies at an academic facility in Vermont. Serum parent estrogens, estrone and estradiol, and their 2-, 4-, and 16-hydroxylated metabolites were measured using liquid chromatography-tandem mass spectrometry. Area mammographic density was measured in the breast contralateral to the biopsy using thresholding software; volume mammographic density was quantified using a density phantom. Linear regression was used to estimate associations of estrogens with mammographic densities, adjusted for age and body mass index, and stratified by menopausal status and menstrual cycle phase. Weak, positive associations between estrogens, estrogen metabolites, and mammographic density were observed, primarily among postmenopausal women. Among premenopausal luteal phase women, the 16-pathway metabolite estriol was associated with percent area (p = 0.04) and volume (p = 0.05) mammographic densities and absolute area (p = 0.02) and volume (p = 0.05) densities. Among postmenopausal women, levels of total estrogens, the sum of parent estrogens, and 2-, 4- and 16-hydroxylation pathway metabolites were positively associated with area density measures (percent: p = 0.03, p = 0.04, p = 0.01, p = 0.02, p = 0.07; absolute: p = 0.02, p = 0.02, p = 0.01, p = 0.02, p = 0.03, respectively) but not volume density measures. Our data suggest that serum estrogen profiles are weak determinants of mammographic density and that analysis of different density metrics may provide complementary information about relationships of estrogen exposure to breast tissue composition.

Original languageEnglish (US)
Pages (from-to)107-119
Number of pages13
JournalHormones and Cancer
Volume6
Issue number2-3
DOIs
StatePublished - Jun 1 2015

ASJC Scopus subject areas

  • Endocrinology, Diabetes and Metabolism
  • Oncology
  • Endocrinology
  • Endocrine and Autonomic Systems
  • Cancer Research

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