Outdoor air pollution and risk for kidney parenchyma cancer in 14 European cohorts

Ole Raaschou-Nielsen, Marie Pedersen, Massimo Stafoggia, Gudrun Weinmayr, Zorana J Andersen, Claudia Galassi, Johan Sommar, Bertil Forsberg, David Olsson, Bente Oftedal, Norun H Krog, Gunn Marit Aasvang, Andrei Pyko, Göran Pershagen, Michal Korek, Ulf De Faire, Nancy L Pedersen, Claes-Göran Östenson, Laura Fratiglioni, Mette SørensenKirsten T Eriksen, Anne Tjønneland, Petra H Peeters, Bas Bueno-de-Mesquita, Michelle Plusquin, Timothy J Key, Andrea Jaensch, Gabriele Nagel, Bernhard Föger, Meng Wang, Ming-Yi Tsai, Sara Grioni, Alessandro Marcon, Vittorio Krogh, Fulvio Ricceri, Carlotta Sacerdote, Enrica Migliore, Ibon Tamayo, Pilar Amiano, Miren Dorronsoro, Ranjeet Sokhi, Ingeborg Kooter, Kees de Hoogh, Rob Beelen, Marloes Eeftens, Roel Vermeulen, Paolo Vineis, Bert Brunekreef, Gerard Hoek

    Research output: Contribution to journalArticleAcademicpeer-review

    Abstract

    Several studies have indicated weakly increased risk for kidney cancer among occupational groups exposed to gasoline vapors, engine exhaust, polycyclic aromatic hydrocarbons and other air pollutants, although not consistently. It was the aim to investigate possible associations between outdoor air pollution at the residence and the incidence of kidney parenchyma cancer in the general population. We used data from 14 European cohorts from the ESCAPE study. We geocoded and assessed air pollution concentrations at baseline addresses by land-use regression models for particulate matter (PM10 , PM2.5 , PMcoarse , PM2.5 absorbance (soot)) and nitrogen oxides (NO2 , NOx ), and collected data on traffic. We used Cox regression models with adjustment for potential confounders for cohort-specific analyses and random effects models for meta-analyses to calculate summary hazard ratios (HRs). The 289,002 cohort members contributed 4,111,908 person-years at risk. During follow-up (mean 14.2 years) 697 incident cancers of the kidney parenchyma were diagnosed. The meta-analyses showed higher HRs in association with higher PM concentration, e.g. HR=1.57 (95%CI: 0.81-3.01) per 5μg/m(3) PM2.5 and HR=1.36 (95%CI: 0.84-2.19) per 10(-5) m(-1) PM2.5 absorbance, albeit never statistically significant. The HRs in association with nitrogen oxides and traffic density on the nearest street were slightly above one. Sensitivity analyses among participants who did not change residence during follow-up showed stronger associations, but none were statistically significant. This study provides suggestive evidence that exposure to outdoor PM at the residence may be associated with higher risk for kidney parenchyma cancer; the results should be interpreted cautiously as associations may be due to chance. This article is protected by copyright. All rights reserved.

    Original languageEnglish
    Pages (from-to)1528-1537
    Number of pages10
    JournalInternational Journal of Cancer
    Volume140
    Issue number7
    DOIs
    Publication statusPublished - 1 Apr 2017

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