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Cancer Epidemiology, Biomarkers & Prevention
Cancer Epidemiology, Biomarkers & Prevention
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Research Article

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

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, Laurel A. Habel and Weiva Sieh
Russell B. McBride
1Institute for Translational Epidemiology, Icahn School of Medicine at Mount Sinai, New York, New York.
2Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, New York.
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Kezhen Fei
3Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York.
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Joseph H. Rothstein
3Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York.
4Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York.
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Stacey E. Alexeeff
5Division of Research, Kaiser Permanente Northern California, Oakland, California.
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Xiaoyu Song
3Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York.
6Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York.
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  • ORCID record for Xiaoyu Song
Lori C. Sakoda
5Division of Research, Kaiser Permanente Northern California, Oakland, California.
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Valerie McGuire
7Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California.
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Ninah Achacoso
5Division of Research, Kaiser Permanente Northern California, Oakland, California.
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Luana Acton
5Division of Research, Kaiser Permanente Northern California, Oakland, California.
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Rhea Y. Liang
8Department of Radiology, Stanford University School of Medicine, Stanford, California.
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Jafi A. Lipson
8Department of Radiology, Stanford University School of Medicine, Stanford, California.
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Martin J. Yaffe
9Departments of Medical Biophysics and Medical Imaging, University of Toronto, Toronto, Ontario, Canada.
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  • ORCID record for Martin J. Yaffe
Daniel L. Rubin
8Department of Radiology, Stanford University School of Medicine, Stanford, California.
10Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, California.
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Alice S. Whittemore
7Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California.
10Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, California.
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Laurel A. Habel
5Division of Research, Kaiser Permanente Northern California, Oakland, California.
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Weiva Sieh
1Institute for Translational Epidemiology, Icahn School of Medicine at Mount Sinai, New York, New York.
3Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York.
4Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York.
6Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York.
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  • For correspondence: weiva.sieh@mssm.edu
DOI: 10.1158/1055-9965.EPI-19-0348
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Abstract

Background: Percent density (PD) is a strong risk factor for breast cancer that is potentially modifiable by lifestyle factors. PD is a composite of the dense (DA) and nondense (NDA) areas of a mammogram, representing predominantly fibroglandular or fatty tissues, respectively. Alcohol and tobacco use have been associated with increased breast cancer risk. However, their effects on mammographic density (MD) phenotypes are poorly understood.

Methods: We examined associations of alcohol and tobacco use with PD, DA, and NDA in a population-based cohort of 23,456 women screened using full-field digital mammography machines manufactured by Hologic or General Electric. MD was measured using Cumulus. Machine-specific effects were estimated using linear regression, and combined using random effects meta-analysis.

Results: Alcohol use was positively associated with PD (Ptrend = 0.01), unassociated with DA (Ptrend = 0.23), and inversely associated with NDA (Ptrend = 0.02) adjusting for age, body mass index, reproductive factors, physical activity, and family history of breast cancer. In contrast, tobacco use was inversely associated with PD (Ptrend = 0.0008), unassociated with DA (Ptrend = 0.93), and positively associated with NDA (Ptrend<0.0001). These trends were stronger in normal and overweight women than in obese women.

Conclusions: These findings suggest that associations of alcohol and tobacco use with PD result more from their associations with NDA than DA.

Impact: PD and NDA may mediate the association of alcohol drinking, but not tobacco smoking, with increased breast cancer risk. Further studies are needed to elucidate the modifiable lifestyle factors that influence breast tissue composition, and the important role of the fatty tissues on breast health.

Footnotes

  • Note: Supplementary data for this article are available at Cancer Epidemiology, Biomarkers & Prevention Online (http://cebp.aacrjournals.org/).

  • Cancer Epidemiol Biomarkers Prev 2020;XX:XX–XX

  • Received April 28, 2019.
  • Revision received July 27, 2019.
  • Accepted February 7, 2020.
  • Published first February 17, 2020.
  • ©2020 American Association for Cancer Research.

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This OnlineFirst version was published on March 12, 2020
doi: 10.1158/1055-9965.EPI-19-0348

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Alcohol and Tobacco Use in Relation to Mammographic Density in 23,456 Women
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, Laurel A. Habel and Weiva Sieh
Cancer Epidemiol Biomarkers Prev March 12 2020 DOI: 10.1158/1055-9965.EPI-19-0348

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Alcohol and Tobacco Use in Relation to Mammographic Density in 23,456 Women
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, Laurel A. Habel and Weiva Sieh
Cancer Epidemiol Biomarkers Prev March 12 2020 DOI: 10.1158/1055-9965.EPI-19-0348
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