Additional file 1: of Cosmetic outcome as rated by patients, doctors, nurses and BCCT.core software assessed over 5Â years in a subset of patients in the TARGIT-A Trial

Supplementary Tables. (PDF 309 kb

Results from multivariate Poisson regression models: impact of clinical and demographic characteristics on commencing different endocrine therapies between January 2004 and December 2010 for post-menopausal women with invasive breast cancer.

<p>Results from multivariate Poisson regression models: impact of clinical and demographic characteristics on commencing different endocrine therapies between January 2004 and December 2010 for post-menopausal women with invasive breast cancer.</p

Characteristics of post-menopausal women commencing therapy with tamoxifen, anastrozole or letrozole between December 2005 and December 2010.

<p>^a Deep vein thrombosis or pulmonary embolism.</p><p>^b United Kingdom and New Zealand.</p

Diagnosis, pharmacy and procedure codes used to identify history of specified conditions.

<p>Diagnosis, pharmacy and procedure codes used to identify history of specified conditions.</p

Australian clinical guidelines for endocrine therapy use in women with hormone-dependent early breast cancer [12], [13].

<p>Australian clinical guidelines for endocrine therapy use in women with hormone-dependent early breast cancer <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0084835#pone.0084835-National1" target="_blank">[12]</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0084835#pone.0084835-National2" target="_blank">[13]</a>.</p

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

<div><p>Aim</p><p>To investigate the cellular and immunophenotypic basis of mammographic density in women at high risk of breast cancer.</p><p>Methods</p><p>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.</p><p>Results</p><p>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).</p><p>Conclusions</p><p>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.</p></div

Stromal and epithelial immunophenotype and mammographic density by Wolfe categories.

<p>*indicates statistically significant difference, ns = not statistically significant.</p

Proportion of fibrous stroma, fat, epithelium, and vascular area by mammographic density rank.

<p>Proportion of fibrous stroma, fat, epithelium, and vascular area by mammographic density rank.</p

Quantification of proportion of fibrous stroma, fat, and epithelium in breast biopsies.

<p>a) H&E-stained section; b) marked-up image of panel a showing strongly staining pixels in red, largely corresponding to epithelium, moderately and weakly staining pixels in orange and yellow respectively, largely corresponding to fibrous stroma, and non-stained pixels in blue, largely corresponding to fat.</p