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Annals of Occupational Hygiene Advance Access first published online on July 14, 2008
This version published online on July 21, 2008

Annals of Occupational Hygiene, doi:10.1093/annhyg/men038
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© The Author 2008. Published by Oxford University Press on behalf of the British Occupational Hygiene Society

Sensitivity Analysis of Biologically Motivated Model for Formaldehyde-Induced Respiratory Cancer in Humans

Kenny S. Crump1,3,*, Chao Chen2, John F. Fox2, Cynthia Van Landingham1 and Ravi Subramaniam2

1 ENVIRON International Corporation, 1900 North, 18th Street, Suite 804, Monroe, LA 71201, USA
2 National Center for Environmental Assessment, Office of Research and Development, US Environmental Protection Agency, Mail Code 8623D, 1200 Pennsylvania Avenue, NW, Washington, DC 20460, USA

* Author to whom correspondence should be addressed. Tel: +318-257-4051; fax: +318-257-3182; e-mail: kennycrump{at}email.com

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 15 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 20 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 25 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.

formaldehyde • nasal cancer • quantitative risk assessment • respiratory cancer • sensitivity analysis • two-stage clonal expansion model


3 Present address: Department of Mathematics and Statistics, Louisiana Tech University, Railroad Avenue, George T. Madison Hall, Room 330, PO Box 10348, Ruston, LA 71272-0046, USA.

The original version was incorrect. A few errors had not been corrected.

Received April 2, 2008; in final form May 30, 2008


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