Freedman D A, Gold L S, Lin T H
Department of Statistics, University of California, Berkeley, California, 94720, USA.
Regul Toxicol Pharmacol. 1996 Jun;23(3):225-32. doi: 10.1006/rtph.1996.0046.
According to current policy, chemicals are evaluated for possible cancer risk to humans at low dose by testing in bioassays in which high doses of the chemical are given to rodents. Thus, risk is extrapolated from high dose in rodents to low dose in humans. The accuracy of these extrapolations is generally unverifiable because data on humans are limited. However, it is feasible to examine the accuracy of extrapolations from mice to rats. If mice and rats are similar with respect to carcinogenesis, this provides some evidence in favor of interspecies extrapolations; conversely, if mice and rats are different, this casts doubt on the validity of extrapolations from mice to humans. One measure of interspecies agreement is concordance, the percentage of chemicals that are classified the same way as to carcinogenicity in mice and rats. Observed concordance in National Cancer Institute/National Toxicology Program bioassays is about 75%, which may seem on the low side because mice and rats are closely related species tested under the same experimental conditions. However, observed concordance could underestimate true concordance due to measurement error in the bioassays-a possibility demonstrated by Piegorsch et al. (Risk Anal. 12, 115-121, 1992). Expanding on this work, we show that the bias in observed concordance can be either positive or negative: an observed concordance of 75% can arise if the true concordance is anything between 20 and 100%. In particular, observed concordance can seriously overestimate true concordance.
根据现行政策,通过在生物测定中对啮齿动物给予高剂量化学物质来评估化学物质对人类的低剂量致癌风险。因此,风险是从啮齿动物的高剂量外推到人类的低剂量。由于人类数据有限,这些外推的准确性通常无法验证。然而,检验从小鼠到大鼠的外推准确性是可行的。如果小鼠和大鼠在致癌作用方面相似,这为种间外推提供了一些证据;相反,如果小鼠和大鼠不同,这就对从小鼠到人类的外推有效性产生怀疑。种间一致性的一个衡量标准是一致性,即小鼠和大鼠中对致癌性分类方式相同的化学物质的百分比。在国立癌症研究所/国家毒理学计划生物测定中观察到的一致性约为75%,这可能看起来偏低,因为小鼠和大鼠是在相同实验条件下测试的密切相关物种。然而,由于生物测定中的测量误差,观察到的一致性可能低估了真实的一致性——Piegorsch等人(《风险分析》12卷,第115 - 121页,1992年)证明了这种可能性。在此基础上进行拓展,我们表明观察到的一致性偏差可能是正的也可能是负的:如果真实一致性在20%到100%之间的任何值,都可能出现75%的观察到的一致性。特别是,观察到的一致性可能会严重高估真实的一致性。