Genomic models of short-term exposure accurately predict long-term chemical carcinogenicity and identify putative mechanisms of action.

ABSTRACT:

Background

Despite an overall decrease in incidence of and mortality from cancer, about 40% of Americans will be diagnosed with the disease in their lifetime, and around 20% will die of it. Current approaches to test carcinogenic chemicals adopt the 2-year rodent bioassay, which is costly and time-consuming. As a result, fewer than 2% of the chemicals on the market have actually been tested. However, evidence accumulated to date suggests that gene expression profiles from model organisms exposed to chemical compounds reflect underlying mechanisms of action, and that these toxicogenomic models could be used in the prediction of chemical carcinogenicity.

Results

In this study, we used a rat-based microarray dataset from the NTP DrugMatrix Database to test the ability of toxico

SUBMITTER: Gusenleitner D 

PROVIDER: S-EPMC4109923 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature