Gene Expression Thresholds Derived From Short-term Exposures Identify Rat Liver Tumorigens.

ABSTRACT: Traditional methods for cancer risk assessment are resource-intensive, retrospective, and not feasible for the vast majority of environmental chemicals. In this study, we investigated whether quantitative genomic data from short-term studies may be used to set protective thresholds for potential tumorigenic effects. We hypothesized that gene expression biomarkers measuring activation of the key early events in established pathways for rodent liver cancer exhibit cross-chemical thresholds for tumorigenesis predictive for liver cancer risk. We defined biomarker thresholds for 6 major liver cancer pathways using training sets of chemicals with short-term genomic data (3-29 days of exposure) from the TG-GATES (n = 77 chemicals) and DrugMatrix (n = 86 chemicals) databases and then tested these

SUBMITTER: Hill T 

PROVIDER: S-EPMC7990321 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature