Long-term exposure to fine particle elemental components and lung cancer incidence in the ELAPSE pooled cohort.
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Hvidtfeldt Ulla Arthur, Chen Jie, Andersen Zorana Jovanovic, Atkinson Richard, Bauwelinck Mariska, Bellander Tom, Brandt Jørgen, Brunekreef Bert, Cesaroni Giulia, Concin Hans, Fecht Daniela, Forastiere Francesco, van Gils Carla H, Gulliver John, Hertel Ole, Hoek Gerard, Hoffmann Barbara, de Hoogh Kees, Janssen Nicole, Jørgensen Jeanette Therming, Katsouyanni Klea, Jöckel Karl-Heinz, Ketzel Matthias, Klompmaker Jochem O, Lang Alois, Leander Karin, Liu Shuo, Ljungman Petter L S, Magnusson Patrik K E, Mehta Amar Jayant, Nagel Gabriele, Oftedal Bente, Pershagen Göran, Peter Raphael Simon, Peters Annette, Renzi Matteo, Rizzuto Debora, Rodopoulou Sophia, Samoli Evangelia, Schwarze Per Everhard, Severi Gianluca, Sigsgaard Torben, Stafoggia Massimo, Strak Maciej, Vienneau Danielle, Weinmayr Gudrun, Wolf Kathrin, Raaschou-Nielsen Ole
Аннотация
METHODS: We pooled seven cohorts from across Europe and assigned exposure estimates for eight components of PM2.5 representing non-tail pipe emissions (copper (Cu), iron (Fe), and zinc (Zn)), long-range transport (sulfur (S)), oil burning/industry emissions (nickel (Ni), vanadium (V)), crustal material (silicon (Si)), and biomass burning (potassium (K)) to cohort participants' baseline residential address based on 100 m by 100 m grids from newly developed hybrid models combining air pollution monitoring, land use data, satellite observations, and dispersion model estimates. We applied stratified Cox proportional hazards models, adjusting for potential confounders (age, sex, calendar year, marital status, smoking, body mass index, employment status, and neighborhood-level socio-economic status).
RESULTS: The pooled study population comprised 306,550 individuals with 3916 incident lung cancer events during 5,541,672 person-years of follow-up. We observed a positive association between exposure to all eight components and lung cancer incidence, with adjusted HRs of 1.10 (95% CI 1.05, 1.16) per 50 ng/m3 PM2.5 K, 1.09 (95% CI 1.02, 1.15) per 1 ng/m3 PM2.5 Ni, 1.22 (95% CI 1.11, 1.35) per 200 ng/m3 PM2.5 S, and 1.07 (95% CI 1.02, 1.12) per 200 ng/m3 PM2.5 V. Effect estimates were largely unaffected by adjustment for nitrogen dioxide (NO2). After adjustment for PM2.5 mass, effect estimates of K, Ni, S, and V were slightly attenuated, whereas effect estimates of Cu, Si, Fe, and Zn became null or negative.
CONCLUSIONS: Our results point towards an increased risk of lung cancer in connection with sources of combustion particles from oil and biomass burning and secondary inorganic aerosols rather than non-exhaust traffic emissions. Specific limit values or guidelines targeting these specific PM2.5 components may prove helpful in future lung cancer prevention strategies.