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一种基于机制的甲醛致癌风险评估方法。

An approach to mechanism-based cancer risk assessment for formaldehyde.

作者信息

Conolly R B, Andersen M E

机构信息

Chemical Industry Institute of Toxicology, Research Triangle Park, NC 27709.

出版信息

Environ Health Perspect. 1993 Dec;101 Suppl 6(Suppl 6):169-76. doi: 10.1289/ehp.93101s6169.

Abstract

The established carcinogenicity of formaldehyde in the rat and suggestive epidemiological evidence that formaldehyde may be a human carcinogen have led to its regulation by U.S. Federal agencies as a probable human carcinogen. These risk assessments have typically been based on tumor data in F344 rats exposed chronically to formaldehyde by inhalation and used the inhaled concentration as a measure of dose and the linearized multistage model (LMS) for dose-response characterization. Low-dose risks estimated with the LMS are thought to be conservative but are also generally acknowledged to be highly uncertain. In this manuscript, we first consider in generic terms how use of chemical-specific data on mechanisms of target tissue dosimetry and the series of tissue responses to the chemical that culminate in tumor formation can lead to more accurate dose-response characterization. A planned mechanism-based risk assessment for formaldehyde is then described. This risk assessment uses data on target tissue dosimetry, size of the target cell population in the rat nasal epithelium, number and size of putative preneoplastic lesions, and tumor incidence. These data establish parameter values for a biologically based, multistage cancer model that is then used to predict cancer risk at low exposure levels. Such work provides insights into the relative roles of formaldehyde-stimulated cell replication and procarcinogenic mutation in tumor formation. Finally, future directions are outlined for research on tissue dosimetry and scaling of the mechanism-based formaldehyde risk model from rats to people.

摘要

甲醛在大鼠身上已确定的致癌性以及甲醛可能是人类致癌物的相关流行病学证据,促使美国联邦机构将其作为可能的人类致癌物进行监管。这些风险评估通常基于长期吸入甲醛的F344大鼠的肿瘤数据,并使用吸入浓度作为剂量衡量指标,以及线性化多阶段模型(LMS)来描述剂量反应。用LMS估计的低剂量风险被认为是保守的,但也普遍被认为具有高度不确定性。在本手稿中,我们首先从一般角度考虑如何利用关于靶组织剂量学机制的化学特异性数据以及导致肿瘤形成的一系列对该化学物质的组织反应,从而实现更准确的剂量反应特征描述。然后描述了一项针对甲醛的基于机制的风险评估计划。该风险评估使用了靶组织剂量学数据、大鼠鼻上皮中靶细胞群体的大小、假定的癌前病变的数量和大小以及肿瘤发生率。这些数据为基于生物学的多阶段癌症模型确定了参数值,该模型随后用于预测低暴露水平下的癌症风险。此类工作为甲醛刺激的细胞复制和致癌前突变在肿瘤形成中的相对作用提供了见解。最后,概述了未来在组织剂量学以及将基于机制的甲醛风险模型从大鼠扩展到人类方面的研究方向。

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