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. 2015 Jun;6(2-3):107-19.
doi: 10.1007/s12672-015-0216-3. Epub 2015 Mar 11.

Relationship of serum estrogens and metabolites with area and volume mammographic densities

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Relationship of serum estrogens and metabolites with area and volume mammographic densities

Gretchen L Gierach et al. Horm Cancer. 2015 Jun.

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.

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Conflict of interest statement

S.D. Herschorn is a stockholder in Hologic.

Figures

Fig. 1
Fig. 1
Schematic of estrogen metabolic pathway [18]
Fig. 2
Fig. 2
Representative full-field digital mammograms from BREAST Stamp Project participants. The digital mammogram is acquired with the density phantom in the corner of the image to allow for automated computation of volume mammographic density (MD-V). In this example, a and b represent breasts of low and high percent MD-V, respectively. Percent MD-V in panel a = 11.8 % and in panel b = 83.6 %

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