CEBP  Translational Cancer Medicine 2008: Cancer Clinical Trials and Personalized Medicine
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Cancer Epidemiology Biomarkers & Prevention 17, 872-879, April 1, 2008. doi: 10.1158/1055-9965.EPI-07-0559
© 2008 American Association for Cancer Research

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Association of Mammographic Density with the Pathology of Subsequent Breast Cancer among Postmenopausal Women

Karthik Ghosh1, Kathleen R. Brandt1, Thomas A. Sellers2, Carol Reynolds1, Christopher G. Scott1, Shaun D. Maloney1, Michael J. Carston1, V. Shane Pankratz1 and Celine M. Vachon1

1 Mayo Clinic College of Medicine, Rochester, Minnesota and 2 H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida

Requests for reprints: Celine M. Vachon, Mayo Clinic College of Medicine, Charlton 6-239, 200 First Street Southwest, Rochester, MN 55905. Phone: 507-284-9977; Fax: 507-266-2478. E-mail: vachon.celine{at}mayo.edu

Background: Limited studies have examined the associations between mammographic density and subsequent breast tumor characteristics.

Methods: Eligible women were part of a case-control study of postmenopausal breast cancer, were 40 years or older and had a routine mammogram 4 years or more before their diagnosis. Mammographic density (percent density, dense area, and nondense area) was estimated using a computer-assisted thresholding program. At the time of cancer diagnosis, cases were classified as asymptomatic or symptomatic based on medical record review and breast imaging workup. Pathologic review was done blinded to the density status. Linear regression models and tests for trend examined the association between pathologic characteristics of the breast tumor and the components of density for all participants, and stratified by symptom status at diagnosis.

Results: Of the 286 eligible cases, 77% were 60 years or older and mean percent density was 29.5% (SD, 14.6%). Density was not significantly associated with tumor size (P = 0.22), histologic type (P = 0.77), estrogen receptor (P = 0.11) or progesterone receptor (P = 0.37) status, mitotic activity (P = 0.12), or nuclear pleomorphism (P = 0.09; P values for percent density). An inverse association was suggested between tumor grade and percent density (32.0%, 30.3%, 26.7% for grades 1-3; P = 0.06 for trend). The inverse association with tumor grade and its components (nuclear pleomorphism and tubular differentiation) was only evident among the 97 symptomatic women; positive associations of estrogen receptor (P = 0.009) and progesterone receptor (P = 0.04) were also seen with percent density only in this subgroup.

Conclusions: The inverse association between tumor grade and percent density in the symptomatic population could inform the biology of the association between mammographic density and breast cancer risk. (Cancer Epidemiol Biomarkers Prev 2008;17(4):872–9)







HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Cancer Research Clinical Cancer Research
Cancer Epidemiology Biomarkers & Prevention Molecular Cancer Therapeutics
Molecular Cancer Research Cancer Prevention Research
Cancer Prevention Journals Portal Cancer Reviews Online
Annual Meeting Education Book Cell Growth & Differentiation
Copyright © 2008 by the American Association for Cancer Research.