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

**Authors:** Benedetta Bendinelli, Saverio Caini, Melania Assedi, Ilaria Ermini, Elisa Pastore, Luigi Facchini, Maria Antonietta Gilio, Giacomo Duroni, Miriam Fontana, Andrea Querci, Daniela Ambrogetti, Calogero Saieva, Giovanna Masala

PMC · DOI: 10.3389/fonc.2024.1335645 · Frontiers in Oncology · 2024-03-07

## TL;DR

This study finds that smoking is linked to lower breast density in post-menopausal women, which may relate to breast cancer risk.

## Contribution

The study provides new evidence on the inverse relationship between smoking and mammographic breast density in post-menopausal women.

## Key findings

- Current smokers had a 7.96% lower volumetric percent density compared to non-smokers.
- A dose-response relationship was observed between smoking intensity and lower breast density.
- Former smokers showed a 3.92% lower volumetric percent density compared to non-smokers.

## Abstract

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.

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.

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.

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.

## Linked entities

- **Diseases:** breast cancer (MONDO:0004989)

## Full-text entities

- **Diseases:** DV (MESH:D015432), BC (MESH:D001943), Cancer (MESH:D009369), VPD (MESH:D001851), smoking (MESH:D015208)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

44 references — full list in the complete paper: https://tomesphere.com/paper/PMC10955064/full.md

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Source: https://tomesphere.com/paper/PMC10955064