Literature DB >> 33236972

Towards a mechanism-based approach for the prediction of nongenotoxic carcinogenic potential of agrochemicals.

Harm Heusinkveld1, Hedwig Braakhuis1, Robin Gommans1, Phil Botham2, Marco Corvaro3, Jan Willem van der Laan4, Dick Lewis2, Federica Madia5, Irene Manou6, Frédéric Schorsch7, Gerrit Wolterink8, Ruud Woutersen9, Raffaella Corvi5, Jyotigna Mehta10, Mirjam Luijten1.   

Abstract

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.

Entities:  

Keywords:  Pesticides; carcinogenicity; hazard assessment; mode of action; risk assessment; rodent cancer bioassay; weight-of-evidence

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Year:  2020        PMID: 33236972     DOI: 10.1080/10408444.2020.1841732

Source DB:  PubMed          Journal:  Crit Rev Toxicol        ISSN: 1040-8444            Impact factor:   5.635


  4 in total

1.  In Silico Approaches In Carcinogenicity Hazard Assessment: Current Status and Future Needs.

Authors:  Raymond R Tice; Arianna Bassan; Alexander Amberg; Lennart T Anger; Marc A Beal; Phillip Bellion; Romualdo Benigni; Jeffrey Birmingham; Alessandro Brigo; Frank Bringezu; Lidia Ceriani; Ian Crooks; Kevin Cross; Rosalie Elespuru; David M Faulkner; Marie C Fortin; Paul Fowler; Markus Frericks; Helga H J Gerets; Gloria D Jahnke; David R Jones; Naomi L Kruhlak; Elena Lo Piparo; Juan Lopez-Belmonte; Amarjit Luniwal; Alice Luu; Federica Madia; Serena Manganelli; Balasubramanian Manickam; Jordi Mestres; Amy L Mihalchik-Burhans; Louise Neilson; Arun Pandiri; Manuela Pavan; Cynthia V Rider; John P Rooney; Alejandra Trejo-Martin; Karen H Watanabe-Sailor; Angela T White; David Woolley; Glenn J Myatt
Journal:  Comput Toxicol       Date:  2021-09-23

2.  Integration of data across toxicity endpoints for improved safety assessment of chemicals: the example of carcinogenicity assessment.

Authors:  Federica Madia; Gelsomina Pillo; Andrew Worth; Raffaella Corvi; Pilar Prieto
Journal:  Arch Toxicol       Date:  2021-04-08       Impact factor: 5.153

3.  Threshold of Toxicological Concern-An Update for Non-Genotoxic Carcinogens.

Authors:  Monika Batke; Fatemeh Moradi Afrapoli; Rupert Kellner; James F Rathman; Chihae Yang; Mark T D Cronin; Sylvia E Escher
Journal:  Front Toxicol       Date:  2021-06-24

4.  A Collaborative Initiative to Establish Genomic Biomarkers for Assessing Tumorigenic Potential to Reduce Reliance on Conventional Rodent Carcinogenicity Studies.

Authors:  J Christopher Corton; Constance A Mitchell; Scott Auerbach; Pierre Bushel; Heidrun Ellinger-Ziegelbauer; Patricia A Escobar; Roland Froetschl; Alison H Harrill; Kamin Johnson; James E Klaunig; Arun R Pandiri; Alexei A Podtelezhnikov; Julia E Rager; Keith Q Tanis; Jan Willem van der Laan; Alisa Vespa; Carole L Yauk; Syril D Pettit; Frank D Sistare
Journal:  Toxicol Sci       Date:  2022-06-28       Impact factor: 4.109

  4 in total

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