{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["9(5)"],"submitter":["Eichner J"],"pubmed_abstract":["The current gold-standard method for cancer safety assessment of drugs is a rodent two-year bioassay, which is associated with significant costs and requires testing a high number of animals over lifetime. Due to the absence of a comprehensive set of short-term assays predicting carcinogenicity, new approaches are currently being evaluated. One promising approach is toxicogenomics, which by virtue of genome-wide molecular profiling after compound treatment can lead to an increased mechanistic understanding, and potentially allow for the prediction of a carcinogenic potential via mathematical modeling. The latter typically involves the extraction of informative genes from omics datasets, which can be used to construct generalizable models allowing for the early classification of compounds w"],"journal":["PloS one"],"pagination":["e97678"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC4020844"],"repository":["biostudies-literature"],"pubmed_title":["Evaluation of toxicogenomics approaches for assessing the risk of nongenotoxic carcinogenicity in rat liver."],"pmcid":["PMC4020844"],"pubmed_authors":["Romer M","Eichner J","Wrzodek C","Zell A","Ellinger-Ziegelbauer H"],"additional_accession":[]},"is_claimable":false,"name":"Evaluation of toxicogenomics approaches for assessing the risk of nongenotoxic carcinogenicity in rat liver.","description":"The current gold-standard method for cancer safety assessment of drugs is a rodent two-year bioassay, which is associated with significant costs and requires testing a high number of animals over lifetime. Due to the absence of a comprehensive set of short-term assays predicting carcinogenicity, new approaches are currently being evaluated. One promising approach is toxicogenomics, which by virtue of genome-wide molecular profiling after compound treatment can lead to an increased mechanistic understanding, and potentially allow for the prediction of a carcinogenic potential via mathematical modeling. The latter typically involves the extraction of informative genes from omics datasets, which can be used to construct generalizable models allowing for the early classification of compounds w","dates":{"release":"2014-01-01T00:00:00Z","publication":"2014","modification":"2025-04-05T10:38:00.848Z","creation":"2019-03-26T23:24:48Z"},"accession":"S-EPMC4020844","cross_references":{"pubmed":["24828355"],"doi":["10.1371/journal.pone.0097678"]}}