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动物致癌性研究:1. 对人类的预测性较差。

Animal carcinogenicity studies: 1. Poor human predictivity.

作者信息

Knight Andrew, Bailey Jarrod, Balcombe Jonathan

机构信息

Animal Consultants International, London SE11 4NR, UK.

出版信息

Altern Lab Anim. 2006 Feb;34(1):19-27. doi: 10.1177/026119290603400117.

Abstract

The regulation of human exposure to potentially carcinogenic chemicals constitutes society's most important use of animal carcinogenicity data. Environmental contaminants of greatest concern within the USA are listed in the Environmental Protection Agency's (EPA's) Integrated Risk Information System (IRIS) chemicals database. However, of the 160 IRIS chemicals lacking even limited human exposure data but possessing animal data that had received a human carcinogenicity assessment by 1 January 2004, we found that in most cases (58.1%; 93/160), the EPA considered animal carcinogenicity data inadequate to support a classification of probable human carcinogen or non-carcinogen. For the 128 chemicals with human or animal data also assessed by the World Health Organisation's International Agency for Research on Cancer (IARC), human carcinogenicity classifications were compatible with EPA classifications only for those 17 having at least limited human data (p = 0.5896). For those 111 primarily reliant on animal data, the EPA was much more likely than the IARC to assign carcinogenicity classifications indicative of greater human risk (p < 0.0001). The IARC is a leading international authority on carcinogenicity assessments, and its significantly different human carcinogenicity classifications of identical chemicals indicate that: 1) in the absence of significant human data, the EPA is over-reliant on animal carcinogenicity data; 2) as a result, the EPA tends to over-predict carcinogenic risk; and 3) the true predictivity for human carcinogenicity of animal data is even poorer than is indicated by EPA figures alone. The EPA policy of erroneously assuming that tumours in animals are indicative of human carcinogenicity is implicated as a primary cause of these errors.

摘要

对人类接触潜在致癌化学物质的管理是社会对动物致癌性数据最重要的应用。美国最受关注的环境污染物列于美国环境保护局(EPA)的综合风险信息系统(IRIS)化学物质数据库中。然而,在截至2004年1月1日已接受人类致癌性评估的160种IRIS化学物质中,尽管缺乏有限的人类接触数据,但具备动物数据,我们发现,在大多数情况下(58.1%;93/160),EPA认为动物致癌性数据不足以支持将其分类为可能的人类致癌物或非致癌物。对于世界卫生组织国际癌症研究机构(IARC)也评估过的128种有人类或动物数据的化学物质,仅对于那些至少有有限人类数据的17种化学物质,人类致癌性分类与EPA分类相符(p = 0.5896)。对于那些主要依赖动物数据的111种化学物质,EPA比IARC更有可能给出表明对人类风险更高的致癌性分类(p < 0.0001)。IARC是致癌性评估方面的主要国际权威机构,其对相同化学物质的人类致癌性分类存在显著差异,这表明:1)在缺乏大量人类数据的情况下,EPA过度依赖动物致癌性数据;2)因此,EPA往往过度预测致癌风险;3)动物数据对人类致癌性的真实预测能力甚至比仅由EPA数据所显示的还要差。EPA错误地假设动物肿瘤表明人类致癌性的政策被认为是这些错误的主要原因。

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