Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Mar 7:14:1335645.
doi: 10.3389/fonc.2024.1335645. eCollection 2024.

Cigarette smoking and mammographic breast density in post-menopausal women from the EPIC Florence cohort

Affiliations

Cigarette smoking and mammographic breast density in post-menopausal women from the EPIC Florence cohort

Benedetta Bendinelli et al. Front Oncol. .

Abstract

Introduction: Cigarette smoking has been recognized as a risk factor for breast cancer (BC) also if the biological mechanism remains poorly understood. High mammographic breast density (MBD) is associated with BC risk and many BC risk factors, such as genetic, anthropometric, reproductive and lifestyle factors and age, are also able to modulate MBD. The aim of the present study was to prospectively explore, in post-menopausal women, the association between smoking habits and MBD, assessed using an automated software, considering duration and intensity of smoking.

Methods: The analysis was carried out in 3,774 women enrolled in the European Prospective Investigation into Cancer and Nutrition (EPIC) Florence cohort in 1993-98, participating in the 2004-06 follow up (FU) and with at least one full-field digital mammography (FFDM) performed after FU. For each woman, detailed information on smoking habits, anthropometry, lifestyle and reproductive history was collected at enrollment and at FU. Smoking information at baseline and at FU was integrated. The fully automated Volpara™ software was used to obtain total breast volume (cm3), absolute breast dense volume (DV, cm3) and volumetric percent density (VPD, %) from the first available FFDM (average 5.3 years from FU). Multivariable linear regression models were applied to evaluate the associations between smoking habits and VPD or DV.

Results: An inverse association between smoking exposure and VPD emerged (Diff% -7.96%, p <0.0001 for current smokers and -3.92%, p 0.01 for former smokers, compared with non-smokers). An inverse dose-response relationship with number of cigarettes/day, years of smoking duration and lifetime smoking exposure (pack-years) and a direct association with time since smoking cessation among former smokers emerged. Similar associations, with an attenuated effect, emerged when DV was considered as the outcome variable.

Discussion: This longitudinal study confirms the inverse association between active smoking, a known risk factor for BC, and MBD among post-menopausal women. The inclusion of smoking habits in the existing BC risk prediction models could be evaluated in future studies.

Keywords: breast cancer; cigarette smoking; lifestyle; mammographic breast density; post-menopausal women.

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Timeline diagram of the prospective study on the 3,774 menopausal women from the EPIC Florence cohort. FFDM, full-field digital mammography; VPD, volumetric percent density; DV, dense volume.
Figure 2
Figure 2
Graphs representing the dose effect of number of cigarettes/day (A) and pack-years of smoking (B) on log-transformed volumetric percent density (VPD) in the 3774 menopausal study women from the EPIC Florence cohort. Results from quadratic b spline analysis.

Similar articles

References

    1. Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. . Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. (2021) 71:209–49. doi: 10.3322/caac.21660 - DOI - PubMed
    1. Dyba T, Randi G, Bray F, Martos C, Giusti F, Nicholson N, et al. . The European cancer burden in 2020: Incidence and mortality estimates for 40 countries and 25 major cancers. Eur J Cancer. (2021) 157:308–47. doi: 10.1016/j.ejca.2021.07.039 - DOI - PMC - PubMed
    1. Collaborative Group on Hormonal Factors in Breast Cancer . Type and timing of menopausal hormone therapy and breast cancer risk: individual participant meta-analysis of the worldwide epidemiological evidence. Lancet. (2019) 394:1159–68. doi: 10.1016/S0140-6736(19)31709-X - DOI - PMC - PubMed
    1. World cancer research fund/american institute for cancer research . Diet, activity and cancer - Cancer risk factors . Available online at: https://www.wcrf.org/diet-activity-and-cancer/risk-factors/ (Accessed October 16, 2023).
    1. IARC . Personal habits and indoor combustions. Volume 100 E. IARC Monogr Eval Carcinog Risks Hum. (2012) 100E:92–101. - PMC - PubMed

LinkOut - more resources