Literature DB >> 30048669

Adverse outcome pathway-driven identification of rat liver tumorigens in short-term assays.

John Rooney1, Thomas Hill2, Chunhua Qin3, Frank D Sistare4, J Christopher Corton5.   

Abstract

Chemicals induce liver cancer in rodents through well characterized adverse outcome pathways (AOPs). We hypothesized that measurement of molecular initiating events (MIEs) and downstream key events (KEs) in liver cancer AOPs in short-term assays will allow early identification of chemicals and their associated doses that are likely to be tumorigenic in the liver in two-year bioassays. We tested this hypothesis using the rat in vivo TG-GATES study data to measure MIEs (genotoxicity, cytotoxicity, AhR, CAR, ER, PPARα) and associated KEs (oxidative stress, cell proliferation, liver to body weights) across 77 chemicals that could be linked to doses with previously established effects on rat liver tumor induction. Gene expression biomarkers for MIEs generally considered to be rodent specific and human irrelevant (CAR, PPARα) and for MIEs that would be considered of greater risk at human relevant exposures (ER, AhR) were built using microarray comparisons from the livers of rats treated with prototypical activators of the receptors. The genotoxicity biomarker, also a potentially human relevant MIE, was comprised of 7 p53-responsive genes known to be induced upon DNA damage. The ability of the biomarkers to accurately predict MIE activation ranged from 91% to 98%. The Toxicological Priority Index (ToxPi) was used to rank chemicals based on their ability to activate MIEs/KEs. Chemicals administered at tumorigenic doses clearly gave the highest ranked scores. Our AOP-directed approach could be used in short term assays to identify chemicals and their doses that would be predicted to cause liver tumors in rats.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Adverse outcome pathway; Aryl hydrocarbon receptor; Clinical chemistry; Constitutive activated receptor; Estrogen receptor; Genotoxicity; Key events; Liver cancer; Liver weight; Molecular initiating events; Oxidative stress; Peroxisome proliferator-activated receptor alpha; ToxPi; Transcript profiling; p53

Mesh:

Substances:

Year:  2018        PMID: 30048669     DOI: 10.1016/j.taap.2018.07.023

Source DB:  PubMed          Journal:  Toxicol Appl Pharmacol        ISSN: 0041-008X            Impact factor:   4.219


  8 in total

1.  A Set of Six Gene Expression Biomarkers Identify Rat Liver Tumorigens in Short-term Assays.

Authors:  J Christopher Corton; Thomas Hill; Jeffrey J Sutherland; James L Stevens; John Rooney
Journal:  Toxicol Sci       Date:  2020-09-01       Impact factor: 4.849

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

Authors:  Thomas Hill; John Rooney; Jaleh Abedini; Hisham El-Masri; Charles E Wood; J Christopher Corton
Journal:  Toxicol Sci       Date:  2020-09-01       Impact factor: 4.849

3.  A cross-sector call to improve carcinogenicity risk assessment through use of genomic methodologies.

Authors:  Carole L Yauk; Alison H Harrill; Heidrun Ellinger-Ziegelbauer; Jan Willem van der Laan; Jonathan Moggs; Roland Froetschl; Frank Sistare; Syril Pettit
Journal:  Regul Toxicol Pharmacol       Date:  2019-11-11       Impact factor: 3.271

4.  Adverse Outcome Pathways as Versatile Tools in Liver Toxicity Testing.

Authors:  Emma Arnesdotter; Eva Gijbels; Bruna Dos Santos Rodrigues; Vânia Vilas-Boas; Mathieu Vinken
Journal:  Methods Mol Biol       Date:  2022

Review 5.  Current Therapeutic Landscape and Safety Roadmap for Targeting the Aryl Hydrocarbon Receptor in Inflammatory Gastrointestinal Indications.

Authors:  Samantha C Faber; Tejas S Lahoti; Ewan R Taylor; Lauren Lewis; Jessica M Sapiro; Vicencia Toledo Sales; Yvonne P Dragan; Brandon D Jeffy
Journal:  Cells       Date:  2022-05-21       Impact factor: 7.666

6.  Identification of p53 Activators in a Human Microarray Compendium.

Authors:  J Christopher Corton; Kristine L Witt; Carole L Yauk
Journal:  Chem Res Toxicol       Date:  2019-09-03       Impact factor: 3.973

7.  A Collaborative Initiative to Establish Genomic Biomarkers for Assessing Tumorigenic Potential to Reduce Reliance on Conventional Rodent Carcinogenicity Studies.

Authors:  J Christopher Corton; Constance A Mitchell; Scott Auerbach; Pierre Bushel; Heidrun Ellinger-Ziegelbauer; Patricia A Escobar; Roland Froetschl; Alison H Harrill; Kamin Johnson; James E Klaunig; Arun R Pandiri; Alexei A Podtelezhnikov; Julia E Rager; Keith Q Tanis; Jan Willem van der Laan; Alisa Vespa; Carole L Yauk; Syril D Pettit; Frank D Sistare
Journal:  Toxicol Sci       Date:  2022-06-28       Impact factor: 4.109

8.  Deriving time-concordant event cascades from gene expression data: A case study for Drug-Induced Liver Injury (DILI).

Authors:  Anika Liu; Namshik Han; Jordi Munoz-Muriedas; Andreas Bender
Journal:  PLoS Comput Biol       Date:  2022-06-10       Impact factor: 4.779

  8 in total

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