Cancer risk estimation of glycidol based on rodent carcinogenicity studies, a multiplicative risk model and in vivo dosimetry.


Journal

Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association
ISSN: 1873-6351
Titre abrégé: Food Chem Toxicol
Pays: England
ID NLM: 8207483

Informations de publication

Date de publication:
Jun 2019
Historique:
received: 16 10 2018
revised: 18 03 2019
accepted: 20 03 2019
pubmed: 28 3 2019
medline: 23 7 2019
entrez: 28 3 2019
Statut: ppublish

Résumé

Here we evaluate a multiplicative (relative) risk model for improved cancer risk estimation of genotoxic compounds. According to this model, cancer risk is proportional to the background tumor incidence and to the internal dose of the genotoxic compound. Furthermore, the relative risk coefficient per internal dose is considered to be approximately the same across tumor sites, sex, and species. In the present study, we demonstrate that the relative risk model is valid for cancer risk estimation of glycidol, a common food contaminant. Published tumor data from glycidol carcinogenicity studies in mice and rats were evaluated in combination with internal dose estimates from hemoglobin adduct measurements in blood from mice and rats treated with glycidol in short-term studies. A good agreement between predicted and observed tumor incidence in responding sites was demonstrated in the animals, supporting a relative risk coefficient that is independent of tumor site, sex, and species. There was no significant difference between the risk coefficients for mice (5.1% per mMh) and rats (5.4% per mMh) when considering internal doses of glycidol. Altogether, this mechanism-based risk model gives a reliable risk coefficient, which then was extrapolated to humans considering internal dose, and background cancer incidence.

Identifiants

pubmed: 30914355
pii: S0278-6915(19)30165-6
doi: 10.1016/j.fct.2019.03.037
pii:
doi:

Substances chimiques

Carcinogens 0
Epoxy Compounds 0
Hemoglobins 0
Propanols 0
glycidol S54CF1DV9A

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

54-60

Informations de copyright

Copyright © 2019. Published by Elsevier Ltd.

Auteurs

Jenny Aasa (J)

Department of Environmental Science and Analytical Chemistry, Stockholm University, Sweden. Electronic address: jenny.aasa@aces.su.se.

Fredrik Granath (F)

Department of Medicine, Solna, Clinical Epidemiology Division, Karolinska Institute, Stockholm, Sweden.

Margareta Törnqvist (M)

Department of Environmental Science and Analytical Chemistry, Stockholm University, Sweden. Electronic address: margareta.tornqvist@aces.su.se.

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Classifications MeSH