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Computational Toxicology in Cancer Risk Assessment
Citation:
BLANCATO, J. N. Computational Toxicology in Cancer Risk Assessment. Chapter 23, Ching-Hung Hsu and Todd Stedeford (ed.), Cancer Risk Assessment: Chemical Carcinogenesis, Hazard Evaluation, and Risk Quantification. John Wiley & Sons, Inc, Hoboken, NJ, , 597-612, (2010).
Impact/Purpose:
The new approaches outlined in this book chapter gives great promise to achieve the goals of more accurate risk predictions.
Description:
Risk assessment over the last half century has, for many individual cases served us well, but has proceeded on an extremely slow pace and has left us with considerable uncertainty. There are certainly thousands of compounds and thousands of exposure scenarios that remain untested and thus contribute to the great uncertainty surrounding risk from environmental exposures. This is further complicated when we consider that exposure to environmental chemicals and stressors does not occur simplistically. There is a myriad of co-exposures for each individual exposure. Time and frequency of exposure, concomitant ingestion of pharmaceuticals and dietary supplements, lifestyle behaviors, underlying chronic diseases are all factors that may greatly change the expected impact of environmental exposure. Susceptibility and vulnerability are critical areas of concern that can be better addressed with newer and more rapid methods.
