Classifying polycyclic aromatic hydrocarbons by carcinogenic potency using in vitro biosignatures.

ABSTRACT: One of the most difficult challenges for risk assessment is evaluation of chemicals that predominately co-occur in mixtures like polycyclic aromatic hydrocarbons (PAHs). We previously developed a classification model in which systems biology data collected from mice short-term after chemical exposure accurately predict tumor outcome. The present study demonstrates translation of this approach into a human in vitro model in which chemical-specific bioactivity profiles from 3D human bronchial epithelial cells (HBEC) classify PAHs by carcinogenic potency. Gene expression profiles were analyzed from HBEC exposed to carcinogenic and non-carcinogenic PAHs and classification accuracies were identified for individual pathway-based gene sets. Posterior probabilities of best performing gene sets wer

SUBMITTER: Chang Y 

PROVIDER: S-EPMC7572825 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature