| Literature DB >> 28006861 |
Ole Raaschou-Nielsen1,2, Marie Pedersen1,3, Massimo Stafoggia4,5, Gudrun Weinmayr6, Zorana J Andersen3, Claudia Galassi7, Johan Sommar8, Bertil Forsberg8, David Olsson8, Bente Oftedal9, Norun H Krog9, Gunn Marit Aasvang9, Andrei Pyko5, Göran Pershagen5, Michal Korek5, Ulf De Faire5, Nancy L Pedersen10, Claes-Göran Östenson11, Laura Fratiglioni12, Mette Sørensen1, Kirsten T Eriksen1, Anne Tjønneland1, Petra H Peeters13,14, H B As Bueno-de-Mesquita14,15,16, Michelle Plusquin14, Timothy J Key17, Andrea Jaensch6, Gabriele Nagel6,18, Bernhard Föger18, Meng Wang19, Ming-Yi Tsai19,20,21, Sara Grioni22, Alessandro Marcon23, Vittorio Krogh22, Fulvio Ricceri7,24, Carlotta Sacerdote7, Enrica Migliore7, Ibon Tamayo25,26,27, Pilar Amiano26,28, Miren Dorronsoro26,28, Ranjeet Sokhi29, Ingeborg Kooter30, Kees de Hoogh20,21, Rob Beelen31,32, Marloes Eeftens20,21, Roel Vermeulen14,31,33, Paolo Vineis14,34, Bert Brunekreef31,33, Gerard Hoek31.
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 5 μg/m3 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. Our 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.Entities:
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Year: 2017 PMID: 28006861 DOI: 10.1002/ijc.30587
Source DB: PubMed Journal: Int J Cancer ISSN: 0020-7136 Impact factor: 7.396