Columnar cell lesions, mammographic density and breast cancer risk

被引:0
作者
Gulisa Turashvili
Steven McKinney
Lisa Martin
Karen A. Gelmon
Peter Watson
Norman Boyd
Samuel Aparicio
机构
[1] BC Cancer Research Centre,Molecular Oncology and Breast Cancer Program
[2] Ontario Cancer Institute,Campbell Family Institute of Breast Cancer Research
来源
Breast Cancer Research and Treatment | 2009年 / 115卷
关键词
Autopsy; Bilateral mastectomy; Breast cancer risk; Columnar cell lesion; Mammographic density;
D O I
暂无
中图分类号
学科分类号
摘要
Background Mammographic density is the third largest risk factor for ductal carcinoma in-situ (DCIS) and invasive breast cancer. However, the question of whether risk-mediating precursor histological changes, such as columnar cell lesions (CCLs), can be found in dense but non-malignant breast tissues has not been systematically addressed. We hypothesized that CCLs may be related to breast composition, in particular breast density, in non-tumour containing breast tissue. Patients and methods We examined randomly selected tissue samples obtained by bilateral subcutaneous mastectomy from a forensic autopsy series, where tissue composition was assessed, and in which there had been no selection of subjects or histological specimens for breast disease. We reviewed H&E slides for the presence of atypical and non-atypical CCLs and correlated with histological features measured using quantitative microscopy. Results CCLs were seen in 40 out of 236 cases (17%). The presence of CCLs was found to be associated with several measures of breast tissue composition, including radiographic density: high Faxitron Wolfe Density (P = 0.037), high density estimated by percentage non-adipose tissue area (P = 0.037), high percentage collagen (P = 9.2E−05) and high percentage glandular area (P = 2E−05). DCIS was identified in two atypical CCL cases. The extent of CCL was not associated with any of the examined variables. Conclusion Our study is the first to report a possible association between CCLs and breast tissue composition, including mammographic density. Our data suggest that prospective elucidation of the strength and nature of the clinicopathological correlation may lead to an enhanced understanding of mammographic density and evidence based management strategies.
引用
收藏
页码:561 / 571
页数:10
相关论文
共 50 条
[41]   Mammographic density, MRI background parenchymal enhancement and breast cancer risk [J].
Pike, M. C. ;
Pearce, C. L. .
ANNALS OF ONCOLOGY, 2013, 24 :37-41
[42]   Quantitative assessment of mammographic density and breast cancer risk for Japanese women [J].
Kotsuma, Yasuyuki ;
Tamaki, Yasuhiro ;
Nishimura, Toshihiro ;
Tsubai, Masayoshi ;
Ueda, Satsuki ;
Shimazu, Kenzo ;
Kim, Seung Jin ;
Miyoshi, Yasuo ;
Tanji, Yoshio ;
Taguchi, Tetsuya ;
Noguchi, Shinzaburo .
BREAST, 2008, 17 (01) :27-35
[43]   Familial Aspects of Mammographic Density Measures Associated with Breast Cancer Risk [J].
Nguyen, Tuong L. ;
Li, Shuai ;
Dowty, James G. ;
Dite, Gillian S. ;
Ye, Zhoufeng ;
Nguyen-Dumont, Tu ;
Trinh, Ho N. ;
Evans, Christopher F. ;
Tan, Maxine ;
Sung, Joohon ;
Jenkins, Mark A. ;
Giles, Graham G. ;
Southey, Melissa C. ;
Hopper, John L. .
CANCERS, 2022, 14 (06)
[44]   Association between breastfeeding, mammographic density, and breast cancer risk: a review [J].
Ye, Dong-Man ;
Bai, Xiaoru ;
Xu, Shu ;
Qu, Ning ;
Zhao, Nannan ;
Zheng, Yang ;
Yu, Tao ;
Wu, Huijian .
INTERNATIONAL BREASTFEEDING JOURNAL, 2024, 19 (01)
[45]   Percent Mammographic Density and Dense Area as Risk Factors for Breast Cancer [J].
Rauh, C. ;
Hack, C. C. ;
Haberle, L. ;
Hein, A. ;
Engel, A. ;
Schrauder, M. G. ;
Fasching, P. A. ;
Jud, S. M. ;
Ekici, A. B. ;
Loehberg, C. R. ;
Meier-Meitinger, M. ;
Ozan, S. ;
Schulz-Wendtland, R. ;
Uder, M. ;
Hartmann, A. ;
Wachter, D. L. ;
Beckmann, M. W. ;
Heusinger, K. .
GEBURTSHILFE UND FRAUENHEILKUNDE, 2012, 72 (08) :727-733
[46]   Adjusting for BMI in analyses of volumetric mammographic density and breast cancer risk [J].
Sue Hudson ;
Kirsti Vik Hjerkind ;
Sarah Vinnicombe ;
Steve Allen ;
Cassia Trewin ;
Giske Ursin ;
Isabel dos-Santos-Silva ;
Bianca L. De Stavola .
Breast Cancer Research, 20
[47]   Proteoglycans: Potential Agents in Mammographic Density and the Associated Breast Cancer Risk [J].
Shawky, Michael S. ;
Ricciardelli, Carmela ;
Lord, Megan ;
Whitelock, John ;
Ferro, Vito ;
Britt, Kara ;
Thompson, Erik W. .
JOURNAL OF MAMMARY GLAND BIOLOGY AND NEOPLASIA, 2015, 20 (3-4) :121-131
[48]   Breast cancer risk factors and mammographic breast density in women over age 70 [J].
Francesmary Modugno ;
Duyen L. Ngo ;
Glenn O. Allen ;
Lewis H. Kuller ;
Roberta B. Ness ;
Victor G. Vogel ;
Joseph P. Costantino ;
Jane A. Cauley .
Breast Cancer Research and Treatment, 2006, 97 :157-166
[49]   Digital mammographic density and breast cancer risk: a case–control study of six alternative density assessment methods [J].
Amanda Eng ;
Zoe Gallant ;
John Shepherd ;
Valerie McCormack ;
Jingmei Li ;
Mitch Dowsett ;
Sarah Vinnicombe ;
Steve Allen ;
Isabel dos-Santos-Silva .
Breast Cancer Research, 16
[50]   Breast cancer risk factors and mammographic breast density in women over age 70 [J].
Modugno, F ;
Ngo, DL ;
Allen, GO ;
Kuller, LH ;
Ness, RB ;
Vogel, VG ;
Costantino, JP ;
Cauley, JA .
BREAST CANCER RESEARCH AND TREATMENT, 2006, 97 (02) :157-166