Literature DB >> 11389815

Mammographic densities as a marker of human breast cancer risk and their use in chemoprevention.

N F Boyd1, L J Martin, J Stone, C Greenberg, S Minkin, M J Yaffe.   

Abstract

Differences in the parenchymal pattern of the breast on mammography reflect differences in the amounts of stromal, epithelial, and fat tissue present in the breast. Stroma and epithelium are radiologically dense, whereas fat is lucent. Extensive areas of mammographically dense breast tissue are strongly associated with an increased risk of breast cancer. A variety of interventions, including gonadotropin-releasing hormone inhibitor, tamoxifen, stopping hormone replacement therapy (HRT), and adopting a low-fat, high-carbohydrate diet, all influence the tissue composition of the breast and reduce mammographic densities. Of the interventions examined to date, only tamoxifen has been shown to reduce the incidence of breast cancer, at least in the short term. Conversely, HRT, which increases density, also increases risk of breast cancer. These results suggest that mammographic density may be a short-term marker of the effect on the breast of potential preventive interventions for breast cancer.

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Year:  2001        PMID: 11389815     DOI: 10.1007/s11912-001-0083-7

Source DB:  PubMed          Journal:  Curr Oncol Rep        ISSN: 1523-3790            Impact factor:   5.075


  42 in total

1.  Mammographic breast density during hormone replacement therapy: differences according to treatment.

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Journal:  Am J Obstet Gynecol       Date:  1999-08       Impact factor: 8.661

2.  Mammographic patterns as a predictive biomarker of breast cancer risk: effect of tamoxifen.

Authors:  C Atkinson; R Warren; S A Bingham; N E Day
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  1999-10       Impact factor: 4.254

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Review 6.  Reproductive factors and breast cancer.

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Journal:  Epidemiol Rev       Date:  1993       Impact factor: 6.222

7.  The relationship between Wolfe's classification of mammograms, accepted breast cancer risk factors, and the incidence of breast cancer.

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10.  The effect in post-menopausal women of natural human and artificial oestrogens on the concentration in serum of prolactin.

Authors:  J R Andersen; E Schroeder; P E Lebech
Journal:  Acta Endocrinol (Copenh)       Date:  1980-12
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  51 in total

Review 1.  Novel agents for chemoprevention, screening methods, and sampling issues.

Authors:  Mary Jo Fackler; Ella Evron; Seema A Khan; Saraswati Sukumar
Journal:  J Mammary Gland Biol Neoplasia       Date:  2003-01       Impact factor: 2.673

Review 2.  Microenvironmental control of the breast cancer cell cycle.

Authors:  Xun Guo; Yuehan Wu; Helen J Hathaway; Rebecca S Hartley
Journal:  Anat Rec (Hoboken)       Date:  2012-01-24       Impact factor: 2.064

3.  Early-onset breast cancer: what do we know about the risk factors?: A Countercurrents Series.

Authors:  S A Narod
Journal:  Curr Oncol       Date:  2011-10       Impact factor: 3.677

Review 4.  Mammary gland ECM remodeling, stiffness, and mechanosignaling in normal development and tumor progression.

Authors:  Pepper Schedin; Patricia J Keely
Journal:  Cold Spring Harb Perspect Biol       Date:  2011-01-01       Impact factor: 10.005

5.  Breast cancer cell-derived matrix supports vascular morphogenesis.

Authors:  Abigail C Hielscher; Connie Qiu; Sharon Gerecht
Journal:  Am J Physiol Cell Physiol       Date:  2012-01-25       Impact factor: 4.249

6.  Power spectral analysis of mammographic parenchymal patterns for breast cancer risk assessment.

Authors:  Hui Li; Maryellen L Giger; Olufunmilayo I Olopade; Michael R Chinander
Journal:  J Digit Imaging       Date:  2008-01-03       Impact factor: 4.056

7.  Prediction of near-term breast cancer risk based on bilateral mammographic feature asymmetry.

Authors:  Maxine Tan; Bin Zheng; Pandiyarajan Ramalingam; David Gur
Journal:  Acad Radiol       Date:  2013-12       Impact factor: 3.173

8.  Comparative analysis of image-based phenotypes of mammographic density and parenchymal patterns in distinguishing between BRCA1/2 cases, unilateral cancer cases, and controls.

Authors:  Hui Li; Maryellen L Giger; Li Lan; Jyothi Janardanan; Charlene A Sennett
Journal:  J Med Imaging (Bellingham)       Date:  2014-11-13

9.  Nonlinear optical microscopy and computational analysis of intrinsic signatures in breast cancer.

Authors:  Curtis T Rueden; Matthew W Conklin; Paolo P Provenzano; Patricia J Keely; Kevin W Eliceiri
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

10.  Nonlinear optical imaging of cellular processes in breast cancer.

Authors:  Paolo P Provenzano; Kevin W Eliceiri; Long Yan; Aude Ada-Nguema; Matthew W Conklin; David R Inman; Patricia J Keely
Journal:  Microsc Microanal       Date:  2008-12       Impact factor: 4.127

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