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Several models proposed for extrapolating low-dose human cancer risk from animal carcinogenicity<br />

data are described in the Guidelines; these models include the Mantel-Bryan method (log-probit model),<br />

the one-hit model, the linearized multistage procedure, the gamma multihit model, and a number of timeto-tumor<br />

models. The Guidelines state that time-to-tumor models (i.e., a Weibull model) should be<br />

used for low-dose extrapolation in all cases where supporting data are available and particularly when<br />

survival is poor due to competing toxicity. However, the Guidelines also note the difficulty of<br />

determining the actual response times in an experiment; internal tumors are generally difficult to detect in<br />

live animals and their presence is usually detected only at necropsy. Additionally, use of these models<br />

often requires making the determination of whether a tumor was the cause of death, or was found only<br />

coincidentally at necropsy when death was due to other causes. Further, competing causes of death,<br />

such as chemical toxicity, may decrease the observed time-to-tumor for nonlethal cancers by allowing<br />

earlier necropsy of animals in higher dose groups. The linearized multistage procedure is noted as being<br />

an appropriate method for dose extrapolation in most cases, with the primary exception being a situation<br />

in which sufficient empirical data are available to indicate a dose-response curve of a “quasi-threshold”<br />

type (e.g., flat for two or three dose levels, then curving sharply upwards). In this case, the linearized<br />

multistage procedure may underestimate the number of stages and overestimate the low-dose risks. In<br />

this case, the gamma multihit model is suggested as being a potential alternative. The Mantel-Bryan<br />

model is described as having little biological basis as applied to carcinogenesis, and being likely to<br />

underestimate risks at low doses. The Guidelines state that this model should not be used for low dose<br />

extrapolation.<br />

The Guidelines state that both animal and human data, when available, should be part of the doseresponse<br />

assessment. Low-dose extrapolation of human cancer risk from animal carcinogenicity data is<br />

generally based on the most sensitive site, species and study demonstrating carcinogenicity of a<br />

particular chemical, unless other evidence indicates that the data set in question is not appropriate for<br />

use. Where both benign and malignant tumors are induced at the same site and the malignant tumors are<br />

significantly increased, the data on both types of tumors may be combined to form the basis for risk<br />

assessment. Pharmacokinetic data on chemical metabolism, effective dose at target site, or species<br />

differences between laboratory test animals and humans are considered in dose-response assessments<br />

when they are available. In performing exposure scaling from animals to humans, the “surface area”<br />

correction (correcting by the 2/3 power of body weight) is used unless specific data indicates that this<br />

should not be done. The Guidelines assume that in the absence of evidence to the contrary, chemicals<br />

that cause cancer after exposure by ingestion will also cause cancer after exposure by inhalation, and<br />

vice versa. Cancer unit risk factors (µg/m 3 ) -1 are calculated from cancer potency factors (mg/kg-day) -1<br />

using the following relationship:<br />

UR =<br />

CPF * 20 m<br />

3<br />

70 kg * CV<br />

where UR is the cancer unit risk, CPF is the cancer potency factor, 70 kg is the reference human body<br />

weight, 20 m 3 is the reference human inspiration rate/day, and CV is the conversion factor from mg to<br />

µg (= 1000). The cancer unit risk describes the excess cancer risk associated with an inhalation<br />

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