Model Uncertainty: Implications for Animal Low-Dose Cancer Risk Assessment Experiments

Author(s):  
S. C. Y. Wong
Dose-Response ◽  
2005 ◽  
Vol 3 (3) ◽  
pp. dose-response.0 ◽  
Author(s):  
Jonathan Borak ◽  
Greg Sirianni

Current guidelines for cancer risk assessment emphasize a toxicant's “mode of action”, rather than its empirically derived dose-response relationship, for determining whether linear low-dose extrapolation is appropriate. Thus, for reasons of policy, demonstration of hormesis is generally insufficient to justify a non-linear approach, although it may provide important insights into the actions of toxicants. We evaluated dose-response characteristics of four carcinogens reported to have hormetic dose-response curves: cadmium chloride; ionizing radiation; PAHs; and, 2,3,7,8-TCDD. For each, the study that documented hormesis in one organ also provided evidence of non-hormetic dose-responses in other organs or non-hormetic responses for seemingly similar carcinogens in the same species and organs. Such inconsistency suggests toxicologic reasons that the finding of hormesis alone is not sufficient to justify use of non-linear low-dose extrapolations. Moreover, available data in those examples are not sufficient to know whether hormesis is a property of the toxicants, the target organ, or the exposed species. From the perspectives of cancer risk assessment, the greatest informational value of hormesis may be that it provokes mechanistic studies intended to explain why hormesis occurs.


Dose-Response ◽  
2018 ◽  
Vol 16 (3) ◽  
pp. 155932581878984 ◽  
Author(s):  
Edward J. Calabrese ◽  
Jaap C. Hanekamp ◽  
Dima Yazji Shamoun

This article strongly supports the Environmental Protection Agency proposal to make significant changes in their cancer risk assessment principles and practices by moving away from the use of the linear nonthreshold (LNT) dose–response as the default model. An alternate approach is proposed based on model uncertainty which integrates the most scientifically supportable features of the threshold, hormesis, and LNT models to identify the doses that optimize population-based responses (ie, maximize health benefits/minimize health harm). This novel approach for cancer risk assessment represents a significant improvement to the current LNT default method from scientific and public health perspectives.


Food Control ◽  
2021 ◽  
Vol 124 ◽  
pp. 107867
Author(s):  
Sunghyeon Jung ◽  
Seungmin Kim ◽  
Inhwan Kim ◽  
Myung-Sub Chung ◽  
BoKyung Moon ◽  
...  

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