Print Email Facebook Twitter Estimation of the Exposure-Response Relation between Benzene and Acute Myeloid Leukemia by Combining Epidemiologic, Human Biomarker, and Animal Data Title Estimation of the Exposure-Response Relation between Benzene and Acute Myeloid Leukemia by Combining Epidemiologic, Human Biomarker, and Animal Data Author Scholten, B. Portengen, L. Pronk, A. Stierum, R. Downward, G.S. Vlaanderen, J. Vermeulen, R. Publication year 2022 Abstract Background: Chemical risk assessment can benefit from integrating data across multiple evidence bases, especially in exposure–response curve (ERC) modeling when data across the exposure range are sparse. Methods: We estimated the ERC for benzene and acute myeloid leukemia (AML), by fitting linear and spline-based Bayesian meta-regression models that included summary risk estimates from non-AML and nonhuman studies as prior information. Our complete dataset included six human AML studies, three human leukemia studies, 10 human biomarker studies, and four experimental animal studies. Results: A linear meta-regression model with intercept best predicted AML risks after cross-validation, both for the full dataset and AML studies only. Risk estimates in the low exposure range [ Subject benzenebiological markeracute myeloid leukemiaanimalBayes theoremhumanoccupational exposureAnimalsBayes TheoremBenzeneBiomarkersHumansLeukemia, Myeloid, AcuteOccupational Exposure To reference this document use: http://resolver.tudelft.nl/uuid:3f103621-1d11-4d6d-a540-2584ea5fdaa5 DOI https://doi.org/10.1158/1055-9965.epi-21-0287 TNO identifier 967464 ISSN 1538-7755 Source Cancer Epidemiology, Biomarkers & Prevention, 31 (31), 751-757 Document type article Files To receive the publication files, please send an e-mail request to TNO Library.