Crump Kenny S, Chen Chao, Fox John F, Van Landingham Cynthia, Subramaniam Ravi
ENVIRON International Corporation, 1900 North, 18th Street, Suite 804, Monroe, LA 71201, USA.
Ann Occup Hyg. 2008 Aug;52(6):481-95. doi: 10.1093/annhyg/men038. Epub 2008 Jul 14.
Conolly et al. (2003, 2004) developed biologically motivated models of formaldehyde carcinogenicity in F344 rats and humans based on a two-stage clonal expansion model of cancer. Based on the human model, Conolly et al. (2004) claimed that cancer risks associated with inhaled formaldehyde are deminimis at relevant human exposure levels. However, they did not conduct a sensitivity analysis to evaluate the robustness of this conclusion. Here, we present a limited sensitivity analysis of the formaldehyde human model. We show that when the control animals from the National Toxicology Program (NTP) studies are replaced with control animals only from NTP inhalation studies, estimates of human risk are increased by 50-fold. When only concurrent control rats are used, the model does not provide any upper bound (UB) to human risk. No data went into the model on the effect of formaldehyde on the division rates and death rates of initiated cells. We show that slight numerical perturbations to the Conolly et al. assumptions regarding these rates can be made that are equally consistent with the underlying data used to construct the model, but produce estimates of human risk ranging anywhere from negative up to 10,000 times higher than those deemed by Conolly et al. to be 'conservative'. Thus, we conclude that estimates of human risk by Conolly et al. (2004) are extremely sensitive to modeling assumptions. This calls into question the basis for the Conolly et al. claim of de minimis human risk and suggests caution in using the model to derive human exposure standards for formaldehyde.
康诺利等人(2003年、2004年)基于癌症的两阶段克隆扩增模型,开发了F344大鼠和人类甲醛致癌性的生物驱动模型。基于人类模型,康诺利等人(2004年)声称,在相关人类暴露水平下,与吸入甲醛相关的癌症风险极小。然而,他们并未进行敏感性分析来评估这一结论的稳健性。在此,我们对甲醛人类模型进行了有限的敏感性分析。我们发现,当将国家毒理学计划(NTP)研究中的对照动物替换为仅来自NTP吸入研究的对照动物时,人类风险估计值会增加50倍。当仅使用同期对照大鼠时,该模型无法为人类风险提供任何上限(UB)。没有关于甲醛对启动细胞分裂率和死亡率影响的数据输入该模型。我们表明,对康诺利等人关于这些比率的假设进行轻微的数值扰动,同样与用于构建模型的基础数据一致,但会产生的人类风险估计值范围从负数到比康诺利等人认为“保守”的估计值高10000倍不等。因此,我们得出结论,康诺利等人(2004年)的人类风险估计值对建模假设极为敏感。这使得康诺利等人关于人类风险极小的说法的依据受到质疑,并建议在使用该模型推导甲醛的人类暴露标准时要谨慎。