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迈向基于机制的方法,用于预测农药的非遗传毒性致癌潜力。

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

机构信息

Centre for Health Protection, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands.

Syngenta Crop Protection, Bracknell, UK.

出版信息

Crit Rev Toxicol. 2020 Oct;50(9):725-739. doi: 10.1080/10408444.2020.1841732. Epub 2020 Nov 25.

DOI:10.1080/10408444.2020.1841732
PMID:33236972
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.

摘要

化学物质在投放市场之前需要进行遗传毒性和致癌性评估,以保护人类和环境免受健康风险的影响。从监管的角度来看,目前需要对农用化学品进行长期啮齿动物致癌性研究。尽管它是目前检测非遗传毒性致癌物的主要方法,但致癌性研究存在明显的缺陷,并受到伦理和科学的争议。向基于机制的证据权重方法的转变被认为是增强对环境(农用)化学品致癌潜力预测的要求。由此产生的方法应该充分利用创新的(计算)工具,并减少对动物的需求。为了确定农用化学品非遗传毒性致癌潜力的各种作用模式(MOA),我们对美国环境保护署(US EPA)和欧洲化学品管理局(ECHA)评估过致癌性的 411 种独特农用化学品进行了广泛分析。这些物质中有大约三分之一可以归类为非遗传毒性致癌剂,每种物质平均约有两种肿瘤类型,观察到多种器官。对于三分之二的肿瘤病例,可以确定潜在的作用模式(网络)。这项分析表明,一组有限的作用模式(网络)是农用化学品非遗传毒性致癌性的基础,表明向基于作用模式的方法的转变似乎是可行的。最终,该方法应涵盖相关的作用模式及其相关的关键事件;这也将有助于评估人类相关性。本文描述了分析的结果,同时确定了实现基于作用模式的证据权重方法的知识差距和必要性。

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