Literature DB >> 16198986

Mammographic breast density as an intermediate phenotype for breast cancer.

Norman F Boyd1, Johanna M Rommens, Kelly Vogt, Vivian Lee, John L Hopper, Martin J Yaffe, Andrew D Paterson.   

Abstract

The amount of radiologically dense breast-tissue appearing on a mammogram varies between women because of differences in the composition of breast tissue, and is referred to here as mammographic density. This review presents evidence that mammographic density is a strong risk factor for breast cancer, and that risk of breast cancer is four to five times greater in women with density in more than 75% of the breast than in women with little or no density in the breast. Density in more than 50% of the breast could account for about a third of breast cancers. The epidemiology of mammographic density is consistent with its being a marker of susceptibility to breast cancer. Twin studies have shown that the proportion of the breast occupied by density, at a given age, is highly heritable, and inherited factors explain 63% of the variance. Mammographic breast density has the characteristics of a quantitative trait and might be determined by genes that are easier to identify than those for breast cancer itself. The genes that determine breast density might also be associated with risk of breast cancer, and their identification is also likely to provide insights into the biology of the breast and identify potential targets for preventive strategies.

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Year:  2005        PMID: 16198986     DOI: 10.1016/S1470-2045(05)70390-9

Source DB:  PubMed          Journal:  Lancet Oncol        ISSN: 1470-2045            Impact factor:   41.316


  213 in total

1.  Mammographic density and risk of breast cancer by adiposity: an analysis of four case-control studies.

Authors:  Shannon M Conroy; Christy G Woolcott; Karin R Koga; Celia Byrne; Chisato Nagata; Giske Ursin; Celine M Vachon; Martin J Yaffe; Ian Pagano; Gertraud Maskarinec
Journal:  Int J Cancer       Date:  2011-09-17       Impact factor: 7.396

Review 2.  Epithelial-mesenchymal transition: general principles and pathological relevance with special emphasis on the role of matrix metalloproteinases.

Authors:  Paola Nisticò; Mina J Bissell; Derek C Radisky
Journal:  Cold Spring Harb Perspect Biol       Date:  2012-02-01       Impact factor: 10.005

3.  Automatic classification of mammography reports by BI-RADS breast tissue composition class.

Authors:  Bethany Percha; Houssam Nassif; Jafi Lipson; Elizabeth Burnside; Daniel Rubin
Journal:  J Am Med Inform Assoc       Date:  2012-01-29       Impact factor: 4.497

Review 4.  Cell polarity in motion: redefining mammary tissue organization through EMT and cell polarity transitions.

Authors:  Nathan J Godde; Ryan C Galea; Imogen A Elsum; Patrick O Humbert
Journal:  J Mammary Gland Biol Neoplasia       Date:  2010-05-12       Impact factor: 2.673

5.  Sensing and modulation of invadopodia across a wide range of rigidities.

Authors:  Aron Parekh; Nazanin S Ruppender; Kevin M Branch; M K Sewell-Loftin; Jun Lin; Patrick D Boyer; Joseph E Candiello; W David Merryman; Scott A Guelcher; Alissa M Weaver
Journal:  Biophys J       Date:  2011-02-02       Impact factor: 4.033

Review 6.  Aromatase inhibitors for breast cancer.

Authors:  Susanne Briest; Nancy E Davidson
Journal:  Rev Endocr Metab Disord       Date:  2007-09       Impact factor: 6.514

7.  Adaptable near-infrared spectroscopy fiber array for improved coupling to different breast sizes during clinical MRI.

Authors:  Michael A Mastanduno; Fadi El-Ghussein; Shudong Jiang; Roberta Diflorio-Alexander; Xu Junqing; Yin Hong; Brian W Pogue; Keith D Paulsen
Journal:  Acad Radiol       Date:  2014-02       Impact factor: 3.173

8.  Alcohol and Tobacco Use in Relation to Mammographic Density in 23,456 Women.

Authors:  Laurel A Habel; Weiva Sieh; Russell B McBride; Kezhen Fei; Joseph H Rothstein; Stacey E Alexeeff; Xiaoyu Song; Lori C Sakoda; Valerie McGuire; Ninah Achacoso; Luana Acton; Rhea Y Liang; Jafi A Lipson; Martin J Yaffe; Daniel L Rubin; Alice S Whittemore
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-02-17       Impact factor: 4.254

9.  Fertility drug use and mammographic breast density in a mammography screening cohort of premenopausal women.

Authors:  Brian L Sprague; Amy Trentham-Dietz; Mary Beth Terry; Hazel B Nichols; Andrew J Bersch; Diana S M Buist
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-11       Impact factor: 4.254

10.  A Randomized Controlled Trial of Green Tea Extract Supplementation and Mammographic Density in Postmenopausal Women at Increased Risk of Breast Cancer.

Authors:  Hamed Samavat; Giske Ursin; Tim H Emory; Eunjung Lee; Renwei Wang; Carolyn J Torkelson; Allison M Dostal; Karen Swenson; Chap T Le; Chung S Yang; Mimi C Yu; Douglas Yee; Anna H Wu; Jian-Min Yuan; Mindy S Kurzer
Journal:  Cancer Prev Res (Phila)       Date:  2017-09-13
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