Selection of Appropriate Tumour Data Sets for Benchmark Dose Modelling (BMD) and Derivation of a Margin of Exposure (MoE) for Substances That Are Genotoxic and Carcinogenic: Considerations of Biological Relevance of Tumour Type, Data Quality And Uncertain


Food and Chemical Toxicology. 2014;70:264-289

The Margin of Exposure (MoE) has been proposed as a means of providing advice to risk managers on the potential level of concern from exposure to chemicals that are genotoxic and carcinogenic. This paper is a practical guidance for risk assessors on how to select and compare tumour data sets for benchmark dose modelling and how to identify the key factors for the derivation of a MoE.

This article addresses a number of concepts related to the selection and modelling of carcinogenicity data for the calculation of a Margin of Exposure. It follows up on the recommendations put forward by the International Life Sciences Institute – European branch in 2010 on the application of the Margin of Exposure (MoE) approach to substances in food that are genotoxic and carcinogenic. The aims are to provide practical guidance on the relevance of animal tumour data for human carcinogenic hazard assessment, appropriate selection of tumour data for Benchmark Dose Modelling, and approaches for dealing with the uncertainty associated with the selection of data for modelling and, consequently, the derived Point of Departure (PoD) used to calculate the MoE. Although the concepts outlined in this article are interrelated, the background expertise needed to address each topic varies. For instance, the expertise needed to make a judgement on biological relevance of a specific tumour type is clearly different to that needed to determine the statistical uncertainty around the data used for modelling a benchmark dose. As such, each topic is dealt with separately to allow those with specialised knowledge to target key areas of guidance and provide a more in-depth discussion on each subject for those new to the concept of the Margin of Exposure approach.

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