PLoS ONE (Jan 2015)

Breast Tissue Composition and Immunophenotype and Its Relationship with Mammographic Density in Women at High Risk of Breast Cancer.

  • Jia-Min B Pang,
  • David J Byrne,
  • Elena A Takano,
  • Nicholas Jene,
  • Lara Petelin,
  • Joanne McKinley,
  • Catherine Poliness,
  • Christobel Saunders,
  • Donna Taylor,
  • Gillian Mitchell,
  • Stephen B Fox

DOI
https://doi.org/10.1371/journal.pone.0128861
Journal volume & issue
Vol. 10, no. 6
p. e0128861

Abstract

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AIM:To investigate the cellular and immunophenotypic basis of mammographic density in women at high risk of breast cancer. METHODS:Mammograms and targeted breast biopsies were accrued from 24 women at high risk of breast cancer. Mammographic density was classified into Wolfe categories and ranked by increasing density. The histological composition and immunophenotypic profile were quantified from digitized haematoxylin and eosin-stained and immunohistochemically-stained (ERα, ERβ, PgR, HER2, Ki-67, and CD31) slides and correlated to mammographic density. RESULTS:Increasing mammographic density was significantly correlated with increased fibrous stroma proportion (rs (22) = 0.5226, p = 0.0088) and significantly inversely associated with adipose tissue proportion (rs (22) = -0.5409, p = 0.0064). Contrary to previous reports, stromal expression of ERα was common (19/20 cases, 95%). There was significantly higher stromal PgR expression in mammographically-dense breasts (p=0.026). CONCLUSIONS:The proportion of stroma and fat underlies mammographic density in women at high risk of breast cancer. Increased expression of PgR in the stroma of mammographically dense breasts and frequent and unexpected presence of stromal ERα expression raises the possibility that hormone receptor expression in breast stroma may have a role in mediating the effects of exogenous hormonal therapy on mammographic density.