Crouch E A
Environ Health Perspect. 1983 Apr;50:321-7. doi: 10.1289/ehp.8350321.
The usual classification of results of animal carcinogenicity tests is positive or negative. Attempting to observe correlations between species using such results is complicated by differing test sensitivities. In these circumstances it is helpful to use models to represent the experimental data in a consistent way. Fitting the model parameters to the data allows computation of confidence limits and an assessment of concordance or discordance between different species in a way which accounts for differing test sensitivities. This paper describes this approach in detail for one class of models applied to the carcinogenicity test results of 187 of the NCI bioassay series, allowing comparison between B6C3F1 mice, Fischer 344 rats and Osborne Mendel rats. It is shown that the uncertainties in extrapolating between species are larger than generally acknowledged (a standard deviation of a factor of approximately 4.5), but that within these uncertainties there are few if any discordances.
动物致癌性试验结果的常规分类为阳性或阴性。由于试验敏感性不同,试图利用这些结果观察物种之间的相关性会变得复杂。在这种情况下,使用模型以一致的方式表示实验数据会有所帮助。将模型参数与数据拟合,可以计算置信限,并以一种考虑到不同试验敏感性的方式评估不同物种之间的一致性或不一致性。本文详细描述了将一类模型应用于美国国立癌症研究所(NCI)生物测定系列中187项致癌性试验结果的这种方法,从而能够对B6C3F1小鼠、Fischer 344大鼠和奥斯本·孟德尔大鼠进行比较。结果表明,在物种间进行外推时的不确定性比一般认为的要大(标准差约为4.5倍),但在这些不确定性范围内,几乎不存在不一致的情况。