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@article{Raaschou-Nielsen:2017:10.1002/ijc.30587,
author = {Raaschou-Nielsen, O and Pedersen, M and Stafoggia, M and Weinmayr, G and Andersen, ZJ and Galassi, C and Sommar, J and Forsberg, B and Olsson, D and Oftedal, B and Krog, NH and Aasvang, GM and Pyko, A and Pershagen, G and Korek, M and De, Faire U and Pedersen, NL and OEstenson, C-G and Fratiglioni, L and Sorensen, M and Eriksen, KT and Tjonneland, A and Peeters, PH and Bueno-de-Mesquita, HBA and Plusquin, M and Key, TJ and Jaensch, A and Nagel, G and Foeger, B and Wang, M and Tsai, M-Y and Grioni, S and Marcon, A and Krogh, V and Ricceri, F and Sacerdote, C and Migliore, E and Tamayo, I and Amiano, P and Dorronsoro, M and Sokhi, R and Kooter, I and de, Hoogh K and Beelen, R and Eeftens, M and Vermeulen, R and Vineis, P and Brunekreef, B and Hoek, G},
doi = {10.1002/ijc.30587},
journal = {INTERNATIONAL JOURNAL OF CANCER},
pages = {1528--1537},
title = {Outdoor air pollution and risk for kidney parenchyma cancer in 14 European cohorts},
url = {http://dx.doi.org/10.1002/ijc.30587},
volume = {140},
year = {2017}
}

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TY  - JOUR
AB  - 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 10−5m−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.
AU  - Raaschou-Nielsen,O
AU  - Pedersen,M
AU  - Stafoggia,M
AU  - Weinmayr,G
AU  - Andersen,ZJ
AU  - Galassi,C
AU  - Sommar,J
AU  - Forsberg,B
AU  - Olsson,D
AU  - Oftedal,B
AU  - Krog,NH
AU  - Aasvang,GM
AU  - Pyko,A
AU  - Pershagen,G
AU  - Korek,M
AU  - De,Faire U
AU  - Pedersen,NL
AU  - OEstenson,C-G
AU  - Fratiglioni,L
AU  - Sorensen,M
AU  - Eriksen,KT
AU  - Tjonneland,A
AU  - Peeters,PH
AU  - Bueno-de-Mesquita,HBA
AU  - Plusquin,M
AU  - Key,TJ
AU  - Jaensch,A
AU  - Nagel,G
AU  - Foeger,B
AU  - Wang,M
AU  - Tsai,M-Y
AU  - Grioni,S
AU  - Marcon,A
AU  - Krogh,V
AU  - Ricceri,F
AU  - Sacerdote,C
AU  - Migliore,E
AU  - Tamayo,I
AU  - Amiano,P
AU  - Dorronsoro,M
AU  - Sokhi,R
AU  - Kooter,I
AU  - de,Hoogh K
AU  - Beelen,R
AU  - Eeftens,M
AU  - Vermeulen,R
AU  - Vineis,P
AU  - Brunekreef,B
AU  - Hoek,G
DO  - 10.1002/ijc.30587
EP  - 1537
PY  - 2017///
SN  - 0020-7136
SP  - 1528
TI  - Outdoor air pollution and risk for kidney parenchyma cancer in 14 European cohorts
T2  - INTERNATIONAL JOURNAL OF CANCER
UR  - http://dx.doi.org/10.1002/ijc.30587
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000395177200007&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/46219
VL  - 140
ER  -

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