Clayson D B, Iverson F
Toxicology Research Division, Health Protection Branch, Health Canada, Ottawa, Ontario, Canada.
Regul Toxicol Pharmacol. 1996 Aug;24(1 Pt 1):45-59. doi: 10.1006/rtph.1996.0063.
Mathematically based carcinogen risk assessment is based on a number of prudent default assumptions which are becoming progressively less tenable as new scientific evidence is adduced. For example, the assumptions that all rodent carcinogens will be carcinogenic in humans and that there is no safe dose of any carcinogen may, in specific examples, be shown to be untrue. The mechanisms by which carcinogens exert their effects, especially the induction of DNA lesions, DNA repair of these lesions, and cell proliferation, are considered; it is suggested that with recently developed experimental techniques they might be employed to develop a more biologically based approach to risk assessment and might avoid at least, some of the pitfalls associated with the present mathematically based carcinogen risk assessment models. They might lead to an improved appreciation of the shape of the carcinogen dose-response curve, at least at medium to high exposure levels.
基于数学的致癌物风险评估是基于一些审慎的默认假设,但随着新科学证据的提出,这些假设越来越站不住脚。例如,所有啮齿动物致癌物在人类中都会致癌以及任何致癌物都没有安全剂量的假设,在某些具体例子中可能被证明是不真实的。文中考虑了致癌物发挥作用的机制,特别是DNA损伤的诱导、这些损伤的DNA修复以及细胞增殖;建议利用最近开发的实验技术,采用更基于生物学的方法进行风险评估,至少可以避免当前基于数学的致癌物风险评估模型存在的一些缺陷。这些技术可能会使人们更好地理解致癌物剂量反应曲线的形状,至少在中高暴露水平下是如此。