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Background <p>Airborne particulate matter (PM) is a complex mixture of particles thought to be associated with a range of adverse health effects, including female breast cancer. Current evidence on the association between PM and female breast cancer risk is inconsistent.</p> Methods <p>This study investigated the association between long-term exposure to PM and breast cancer risk in a nested case-control study within the French E3N-Generation cohort including 5222 breast cancer cases identified over the 1990–2011 follow-up period and 5222 individually matched controls. Annual mean concentrations of PM<sub>10</sub> and PM<sub>2.5</sub> at participants’ residential addresses, were estimated using a land use regression model. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using conditional logistic regression models.</p> Results <p>ORs for each 10 µg/m<sup>3</sup> increase in the average of PM<sub>2.5</sub> and PM<sub>10</sub> were 1.14 (95% CI: 0.99–1.30) and 1.08 (95% CI: 0.98–1.18), respectively. When restricted to invasive ductal and lobular carcinomas, ORs were 2.74 (95% CI: 1.05–7.15) for PM<sub>2.5</sub> and 2.05 (95% CI: 1.11–3.78) for PM<sub>10</sub>. Comparable effects of PM exposure estimated by a chemistry transport model reinforces these findings.</p> Conclusion <p>This study suggests a potential association between PM<sub>2.5</sub> and PM<sub>10</sub> exposure and breast cancer risk.</p>

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Long-term atmospheric exposure to particulate matter and breast cancer risk: findings from a nested case-control study in France

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年1月13日

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  • Delphine Praud,
  • Amina Amadou,
  • Benoît Mercoeur,
  • Margaux Duboeuf,
  • Maryline Bouilly,
  • Thomas Coudon,
  • Lény Grassot,
  • Elodie Faure,
  • Florian Couvidat,
  • Julien Caudeville,
  • Bertrand Bessagnet,
  • Pietro Salizzoni,
  • Karen Leffondré,
  • John Gulliver,
  • Gianluca Severi,
  • Francesca Romana Mancini,
  • Béatrice Fervers

摘要

Background

Airborne particulate matter (PM) is a complex mixture of particles thought to be associated with a range of adverse health effects, including female breast cancer. Current evidence on the association between PM and female breast cancer risk is inconsistent.

Methods

This study investigated the association between long-term exposure to PM and breast cancer risk in a nested case-control study within the French E3N-Generation cohort including 5222 breast cancer cases identified over the 1990–2011 follow-up period and 5222 individually matched controls. Annual mean concentrations of PM10 and PM2.5 at participants’ residential addresses, were estimated using a land use regression model. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using conditional logistic regression models.

Results

ORs for each 10 µg/m3 increase in the average of PM2.5 and PM10 were 1.14 (95% CI: 0.99–1.30) and 1.08 (95% CI: 0.98–1.18), respectively. When restricted to invasive ductal and lobular carcinomas, ORs were 2.74 (95% CI: 1.05–7.15) for PM2.5 and 2.05 (95% CI: 1.11–3.78) for PM10. Comparable effects of PM exposure estimated by a chemistry transport model reinforces these findings.

Conclusion

This study suggests a potential association between PM2.5 and PM10 exposure and breast cancer risk.