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Limitations to benzene cancer risk assessment by Cox and Ricci

Journal Article · · Risk Analysis; (United States)
; ;  [1]
  1. Clement International Corp., Ruston, LA (United States)
Cox and Ricci estimated human cancer risks from exposure to benzene by applying the linearized multi-stage model (LMS) to data on tumor responses in male mice. The unique feature of their analysis was their use of internal measures of dose estimated using a physiologically based pharmokinetic (PBPK) model. It is the authors' opinion that the inclusion of all squamous cell carcinomas in the Cox and Ricci experiment was not the most appropriate animal tumor category for the analysis. In addition, the authors' feel that to develop a dose-response curve for humans, it is reasonable to model a tumor that is more closely related to the observed human cancer endpoint, which is leukemia. To determine how robust the risk estimates made by Cox and Ricci were to different animal endpoints, in this work their methods were applied to two additional endpoints in mice: malignant lymphoma and alveolar/bronchial carcinoma. The methodology produced a good statistical fit to both sets of data.
OSTI ID:
6525811
Journal Information:
Risk Analysis; (United States), Journal Name: Risk Analysis; (United States) Vol. 13:2; ISSN 0272-4332; ISSN RIANDF
Country of Publication:
United States
Language:
English