Resolving uncertainty in the spatial relationships between passive benzene exposure and risk of non-Hodgkin lymphoma

Publication date: Available online 2 March 2016
Source:Cancer Epidemiology
Author(s): Jeffrey M. Switchenko, Catherine Bulka, Kevin Ward, Jean L. Koff, A. Rana Bayakly, P. Barry Ryan, Lance A. Waller, Christopher R. Flowers
BackgroundBenzene is a known occupational carcinogen associated with increased risk of hematologic cancers, but the relationships between quantity of passive benzene exposure through residential proximity to toxic release sites, duration of exposure, lag time from exposure to cancer development, and lymphoma risk remain unclear.MethodsWe collected release data through the Environmental Protection Agency's Toxics Release Inventory (TRI) from 1989 to 2003, which included location of benzene release sites, years when release occurred, and amount of release. We also collected data on incident cases of non-Hodgkin lymphoma (NHL) from the Georgia Comprehensive Cancer Registry (GCCR) for the years 1999–2008. We constructed distance-decay surrogate exposure metrics and Poisson and negative binomial regression models of NHL incidence to quantify associations between passive exposure to benzene and NHL risk and examined the impact of amount, duration of exposure, and lag time on cancer development. Akaike's information criteria (AIC) were used to determine the scaling factors for benzene dispersion and exposure periods that best predicted NHL risk.ResultsUsing a range of scaling factors and exposure periods, we found that increased levels of passive benzene exposure were associated with higher risk of NHL. The best fitting model, with a scaling factor of 4 kilometers (km) and exposure period of 1989–1993, showed that higher exposure levels were associated with increased NHL risk (Level 4 (1.1–160kilograms (kg)) vs. Level 1: risk ratio 1.56 [1.44–1.68], Level 5 (>160kg) vs. Level 1: 1.60 [1.48–1.74]).ConclusionsHigher levels of passive benzene exposure are associated with increased NHL risk across various lag periods. Additional epidemiological studies are needed to refine these models and better quantify the expected total passive benzene exposure in areas surrounding release sites.



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