Image-guided sampling reveals increased stroma and lower glandular complexity in mammographically dense breast tissue
- نوع فایل : کتاب
- زبان : انگلیسی
- مؤلف : Suling J. Lin Jennifer Cawson Prue Hill Izhak Haviv Mark Jenkins John L. Hopper Melissa C. Southey Ian G. Campbell Erik W. Thompson
- چاپ و سال / کشور: 2011
Description
Mammographic density (MD) adjusted for age and body mass index (BMI) is a strong heritable breast cancer risk factor; however, its biological basis remains elusive. Previous studies assessed MD-associated histology using random sampling approaches, despite evidence that high and low MD areas exist within a breast and are negatively correlated with respect to one another. We have used an image-guided approach to sample high and low MD tissues from within individual breasts to examine the relationship between histology and degree of MD. Imageguided sampling was performed using two different methodologies on mastectomy tissues (n = 12): (1) sampling of high and low MD regions within a slice guided by bright (high MD) and dark (low MD) areas in a slice X-ray film; (2) sampling of high and low MD regions within a whole breast using a stereotactically guided vacuumassisted core biopsy technique. Pairwise analysis accounting for potential confounders (i.e. age, BMI, menopausal status, etc.) provides appropriate power for analysis despite the small sample size. High MD tissues had higher stromal (P = 0.002) and lower fat (P = 0.002) compositions, but no evidence of difference in glandular areas (P = 0.084) compared to low MD tissues from the same breast. High MD regions had higher relative gland counts (P = 0.023), and a preponderance of Type I lobules in high MD compared to low MD regions was observed in 58% of subjects (n = 7), but did not achieve significance. These findings clarify the histologic nature of high MD tissue and support hypotheses regarding the biophysical impact of dense connective tissue on mammary malignancy. They also provide important terms of reference for ongoing analyses of the underlying genetics of MD.
Breast Cancer Res Treat (2011) 128:505–516 DOI 10.1007/s10549-011-1346-0 Received: 14 November 2010 / Accepted: 4 January 2011 / Published online: 22 January 2011 Springer Science+Business Media, LLC. 2011
