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

Raaschou-Nielsen, Ole and Pedersen, Marie and Stafoggia, Massimo and Weinmayr, Gudrun and Andersen, Zorana J. and Galassi, Claudia and Sommar, Johan and Forsberg, Bertil and Olsson, David and Oftedal, Bente and Krog, Norun H. and Aasvang, Gunn Marit and Pyko, Andrei and Pershagen, Göran and Korek, Michal and De Faire, Ulf and Pedersen, Nancy L. and Östenson, Claes-Göran and Fratiglioni, Laura and Sørensen, Mette and Eriksen, Kirsten T. and Tjønneland, Anne and Peeters, Petra H. and Bueno-de-Mesquita, H. B. As and Plusquin, Michelle and Key, Timothy J. and Jaensch, Andrea and Nagel, Gabriele and Föger, Bernhard and Wang, Meng and Tsai, Ming-Yi and Grioni, Sara and Marcon, Alessandro and Krogh, Vittorio and Ricceri, Fulvio and Sacerdote, Carlotta and Migliore, Enrica and Tamayo, Ibon and Amiano, Pilar and Dorronsoro, Miren and Sokhi, Ranjeet and Kooter, Ingeborg and de Hoogh, Kees and Beelen, Rob and Eeftens, Marloes and Vermeulen, Roel and Vineis, Paolo and Brunekreef, Bert and Hoek, Gerard. (2017) Outdoor air pollution and risk for kidney parenchyma cancer in 14 European cohorts. International journal of cancer, 140 (7). pp. 1528-1537.

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Official URL: http://edoc.unibas.ch/54737/

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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/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. 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.
Faculties and Departments:09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH)
UniBasel Contributors:de Hoogh, Kees and Eeftens, Marloes
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Alan R. Liss
ISSN:0020-7136
Note:Publication type according to Uni Basel Research Database: Journal article
Identification Number:
Last Modified:29 May 2017 12:00
Deposited On:29 May 2017 12:00

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