Literature DB >> 20801182

Toxicogenomics and cancer risk assessment: a framework for key event analysis and dose-response assessment for nongenotoxic carcinogens.

Joel P Bercu1, Robert A Jolly, Kelly M Flagella, Thomas K Baker, Pedro Romero, James L Stevens.   

Abstract

In order to determine a threshold for nongenotoxic carcinogens, the traditional risk assessment approach has been to identify a mode of action (MOA) with a nonlinear dose-response. The dose-response for one or more key event(s) linked to the MOA for carcinogenicity allows a point of departure (POD) to be selected from the most sensitive effect dose or no-effect dose. However, this can be challenging because multiple MOAs and key events may exist for carcinogenicity and oftentimes extensive research is required to elucidate the MOA. In the present study, a microarray analysis was conducted to determine if a POD could be identified following short-term oral rat exposure with two nongenotoxic rodent carcinogens, fenofibrate and methapyrilene, using a benchmark dose analysis of genes aggregated in Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways and Gene Ontology (GO) biological processes, which likely encompass key event(s) for carcinogenicity. The gene expression response for fenofibrate given to rats for 2days was consistent with its MOA and known key events linked to PPARα activation. The temporal response from daily dosing with methapyrilene demonstrated biological complexity with waves of pathways/biological processes occurring over 1, 3, and 7days; nonetheless, the benchmark dose values were consistent over time. When comparing the dose-response of toxicogenomic data to tumorigenesis or precursor events, the toxicogenomics POD was slightly below any effect level. Our results suggest that toxicogenomic analysis using short-term studies can be used to identify a threshold for nongenotoxic carcinogens based on evaluation of potential key event(s) which then can be used within a risk assessment framework.
Copyright © 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20801182     DOI: 10.1016/j.yrtph.2010.08.002

Source DB:  PubMed          Journal:  Regul Toxicol Pharmacol        ISSN: 0273-2300            Impact factor:   3.271


  9 in total

Review 1.  Comparison of toxicogenomics and traditional approaches to inform mode of action and points of departure in human health risk assessment of benzo[a]pyrene in drinking water.

Authors:  Ivy Moffat; Nikolai Chepelev; Sarah Labib; Julie Bourdon-Lacombe; Byron Kuo; Julie K Buick; France Lemieux; Andrew Williams; Sabina Halappanavar; Amal Malik; Mirjam Luijten; Jiri Aubrecht; Daniel R Hyduke; Albert J Fornace; Carol D Swartz; Leslie Recio; Carole L Yauk
Journal:  Crit Rev Toxicol       Date:  2015-01       Impact factor: 5.635

Review 2.  Applying 'omics technologies in chemicals risk assessment: Report of an ECETOC workshop.

Authors:  Roland Buesen; Brian N Chorley; Beatriz da Silva Lima; George Daston; Lize Deferme; Timothy Ebbels; Timothy W Gant; Amber Goetz; John Greally; Laura Gribaldo; Jörg Hackermüller; Bruno Hubesch; Danyel Jennen; Kamin Johnson; Jun Kanno; Hans-Martin Kauffmann; Madeleine Laffont; Patrick McMullen; Richard Meehan; Mark Pemberton; Stefania Perdichizzi; Aldert H Piersma; Ursula G Sauer; Kerstin Schmidt; Hervé Seitz; Kayo Sumida; Knut E Tollefsen; Weida Tong; Tewes Tralau; Ben van Ravenzwaay; Ralf J M Weber; Andrew Worth; Carole Yauk; Alan Poole
Journal:  Regul Toxicol Pharmacol       Date:  2017-09-25       Impact factor: 3.271

3.  Considerations for Strategic Use of High-Throughput Transcriptomics Chemical Screening Data in Regulatory Decisions.

Authors:  Joshua Harrill; Imran Shah; R Woodrow Setzer; Derik Haggard; Scott Auerbach; Richard Judson; Russell S Thomas
Journal:  Curr Opin Toxicol       Date:  2019

Review 4.  A Novel Strategy to Predict Carcinogenicity of Antiparasitics Based on a Combination of DNA Lesions and Bacterial Mutagenicity Tests.

Authors:  Qianying Liu; Zhixin Lei; Feng Zhu; Awais Ihsan; Xu Wang; Zonghui Yuan
Journal:  Front Public Health       Date:  2017-11-09

5.  How Adverse Outcome Pathways Can Aid the Development and Use of Computational Prediction Models for Regulatory Toxicology.

Authors:  Clemens Wittwehr; Hristo Aladjov; Gerald Ankley; Hugh J Byrne; Joop de Knecht; Elmar Heinzle; Günter Klambauer; Brigitte Landesmann; Mirjam Luijten; Cameron MacKay; Gavin Maxwell; M E Bette Meek; Alicia Paini; Edward Perkins; Tomasz Sobanski; Dan Villeneuve; Katrina M Waters; Maurice Whelan
Journal:  Toxicol Sci       Date:  2016-12-19       Impact factor: 4.849

6.  Recommended approaches in the application of toxicogenomics to derive points of departure for chemical risk assessment.

Authors:  Reza Farmahin; Andrew Williams; Byron Kuo; Nikolai L Chepelev; Russell S Thomas; Tara S Barton-Maclaren; Ivan H Curran; Andy Nong; Michael G Wade; Carole L Yauk
Journal:  Arch Toxicol       Date:  2016-12-07       Impact factor: 5.153

7.  Testing chemical carcinogenicity by using a transcriptomics HepaRG-based model?

Authors:  T Y Doktorova; Reha Yildirimman; Liesbeth Ceelen; Mireia Vilardell; Tamara Vanhaecke; Mathieu Vinken; Gamze Ates; Anja Heymans; Hans Gmuender; Roque Bort; Raffaella Corvi; Pascal Phrakonkham; Ruoya Li; Nicolas Mouchet; Christophe Chesne; Joost van Delft; Jos Kleinjans; Jose Castell; Ralf Herwig; Vera Rogiers
Journal:  EXCLI J       Date:  2014-05-28       Impact factor: 4.068

8.  Nano-risk Science: application of toxicogenomics in an adverse outcome pathway framework for risk assessment of multi-walled carbon nanotubes.

Authors:  Sarah Labib; Andrew Williams; Carole L Yauk; Jake K Nikota; Håkan Wallin; Ulla Vogel; Sabina Halappanavar
Journal:  Part Fibre Toxicol       Date:  2016-03-15       Impact factor: 9.400

9.  A toxicogenomic approach for the risk assessment of the food contaminant acetamide.

Authors:  Rance Nault; Bryan Bals; Farzaneh Teymouri; Michael B Black; Melvin E Andersen; Patrick D McMullen; Seetha Krishnan; Nagesh Kuravadi; Neetha Paul; Santhosh Kumar; Kamala Kannan; K C Jayachandra; Lakshmanan Alagappan; Bhavesh Dhirajlal Patel; Kenneth T Bogen; Bhaskar B Gollapudi; James E Klaunig; Tim R Zacharewski; Venkataraman Bringi
Journal:  Toxicol Appl Pharmacol       Date:  2019-12-24       Impact factor: 4.219

  9 in total

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