Towards a mechanism-based approach for the prediction of nongenotoxic carcinogenic potential of agrochemicals.
Pesticides
carcinogenicity
hazard assessment
mode of action
risk assessment
rodent cancer bioassay
weight-of-evidence
Journal
Critical reviews in toxicology
ISSN: 1547-6898
Titre abrégé: Crit Rev Toxicol
Pays: England
ID NLM: 8914275
Informations de publication
Date de publication:
10 2020
10 2020
Historique:
pubmed:
26
11
2020
medline:
19
5
2021
entrez:
25
11
2020
Statut:
ppublish
Résumé
Chemical substances are subjected to assessment of genotoxic and carcinogenic effects before being marketed to protect man and the environment from health risks. For agrochemicals, the long-term rodent carcinogenicity study is currently required from a regulatory perspective. Although it is the current mainstay for the detection of nongenotoxic carcinogens, carcinogenicity studies are shown to have prominent weaknesses and are subject to ethical and scientific debate. A transition toward a mechanism-based weight-of-evidence approach is considered a requirement to enhance the prediction of carcinogenic potential for environmental (agro)chemicals. The resulting approach should make optimal use of innovative (computational) tools and be less animal demanding. To identify the various mode of actions (MOAs) underlying the nongenotoxic carcinogenic potential of agrochemicals, we conducted an extensive analysis of 411 unique agrochemicals that have been evaluated for carcinogenicity by the United States Environmental Protection Agency (US EPA) and the European Chemicals Agency (ECHA). About one-third of these substances could be categorized as nongenotoxic carcinogens with an average of approximately two tumor types per substance, observed in a variety of organs. For two-third of the tumor cases, an underlying MOA (network) could be identified. This analysis demonstrates that a limited set of MOA (networks) is underlying nongenotoxic carcinogenicity of agrochemicals, illustrating that the transition toward a MOA-driven approach appears manageable. Ultimately the approach should cover relevant MOAs and its associated key events; this will also facilitate the evaluation of the human relevance. This manuscript describes the results of the analysis while identifying knowledge gaps and necessities to achieve a mechanism-based weight-of-evidence approach.
Identifiants
pubmed: 33236972
doi: 10.1080/10408444.2020.1841732
doi:
Substances chimiques
Agrochemicals
0
Carcinogens
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Review
Langues
eng
Sous-ensembles de citation
IM