Literature DB >> 21097997

Application of transcriptional benchmark dose values in quantitative cancer and noncancer risk assessment.

Russell S Thomas1, Harvey J Clewell, Bruce C Allen, Scott C Wesselkamper, Nina Ching Y Wang, Jason C Lambert, Janet K Hess-Wilson, Q Jay Zhao, Melvin E Andersen.   

Abstract

The traditional approach for estimating noncancer and cancer reference values in quantitative chemical risk assessment is time and resource intensive. The extent and nature of the studies required under the traditional approach has limited the number of chemicals with published risk assessments. In this study, female mice were exposed for 13 weeks to multiple concentrations of five chemicals that were positive in a 2-year cancer bioassay. Traditional histological and organ weight changes were evaluated, and gene expression microarray analysis was performed on the target tissues. The histological, organ weight changes, and the original tumor incidences in the original cancer bioassay were analyzed using standard benchmark dose (BMD) methods to identify noncancer and cancer points of departure, respectively. The dose-related changes in gene expression were also analyzed using a BMD approach and the responses grouped based on cellular biological processes. A comparison of the transcriptional BMD values with those for the traditional noncancer and cancer apical endpoints showed a high degree of correlation for specific cellular biological processes. For chemicals with human exposure data, the transcriptional BMD values were also used to calculate a margin of exposure. The margins of exposure ranged from 1900 to 54,000. Both the correlation between the BMD values for the transcriptional and apical endpoints and the margin of exposure analysis suggest that transcriptional BMD values may be used as potential points of departure for noncancer and cancer risk assessment.

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Year:  2010        PMID: 21097997     DOI: 10.1093/toxsci/kfq355

Source DB:  PubMed          Journal:  Toxicol Sci        ISSN: 1096-0929            Impact factor:   4.849


  39 in total

1.  Hepatic transcriptomic alterations for N,N-dimethyl-p-toluidine (DMPT) and p-toluidine after 5-day exposure in rats.

Authors:  June K Dunnick; Keith R Shockley; Daniel L Morgan; Amy Brix; Gregory S Travlos; Kevin Gerrish; J Michael Sanders; T V Ton; Arun R Pandiri
Journal:  Arch Toxicol       Date:  2016-09-16       Impact factor: 5.153

2.  The Next Generation Blueprint of Computational Toxicology at the U.S. Environmental Protection Agency.

Authors:  Russell S Thomas; Tina Bahadori; Timothy J Buckley; John Cowden; Chad Deisenroth; Kathie L Dionisio; Jeffrey B Frithsen; Christopher M Grulke; Maureen R Gwinn; Joshua A Harrill; Mark Higuchi; Keith A Houck; Michael F Hughes; E Sidney Hunter; Kristin K Isaacs; Richard S Judson; Thomas B Knudsen; Jason C Lambert; Monica Linnenbrink; Todd M Martin; Seth R Newton; Stephanie Padilla; Grace Patlewicz; Katie Paul-Friedman; Katherine A Phillips; Ann M Richard; Reeder Sams; Timothy J Shafer; R Woodrow Setzer; Imran Shah; Jane E Simmons; Steven O Simmons; Amar Singh; Jon R Sobus; Mark Strynar; Adam Swank; Rogelio Tornero-Valez; Elin M Ulrich; Daniel L Villeneuve; John F Wambaugh; Barbara A Wetmore; Antony J Williams
Journal:  Toxicol Sci       Date:  2019-06-01       Impact factor: 4.849

Review 3.  Mode of action-based risk assessment of genotoxic carcinogens.

Authors:  Andrea Hartwig; Michael Arand; Bernd Epe; Sabine Guth; Gunnar Jahnke; Alfonso Lampen; Hans-Jörg Martus; Bernhard Monien; Ivonne M C M Rietjens; Simone Schmitz-Spanke; Gerlinde Schriever-Schwemmer; Pablo Steinberg; Gerhard Eisenbrand
Journal:  Arch Toxicol       Date:  2020-06-15       Impact factor: 5.153

4.  A Rat Liver Transcriptomic Point of Departure Predicts a Prospective Liver or Non-liver Apical Point of Departure.

Authors:  Kamin J Johnson; Scott S Auerbach; Eduardo Costa
Journal:  Toxicol Sci       Date:  2020-07-01       Impact factor: 4.849

5.  Technical guide for applications of gene expression profiling in human health risk assessment of environmental chemicals.

Authors:  Julie A Bourdon-Lacombe; Ivy D Moffat; Michelle Deveau; Mainul Husain; Scott Auerbach; Daniel Krewski; Russell S Thomas; Pierre R Bushel; Andrew Williams; Carole L Yauk
Journal:  Regul Toxicol Pharmacol       Date:  2015-05-02       Impact factor: 3.271

6.  Population-based dose-response analysis of liver transcriptional response to trichloroethylene in mouse.

Authors:  Abhishek Venkatratnam; John S House; Kranti Konganti; Connor McKenney; David W Threadgill; Weihsueh A Chiu; David L Aylor; Fred A Wright; Ivan Rusyn
Journal:  Mamm Genome       Date:  2018-01-20       Impact factor: 2.957

7.  Editor's Highlight: Application of Gene Set Enrichment Analysis for Identification of Chemically Induced, Biologically Relevant Transcriptomic Networks and Potential Utilization in Human Health Risk Assessment.

Authors:  Jeffry L Dean; Q Jay Zhao; Jason C Lambert; Belinda S Hawkins; Russell S Thomas; Scott C Wesselkamper
Journal:  Toxicol Sci       Date:  2017-05-01       Impact factor: 4.849

Review 8.  Assessment of the mode of action underlying development of rodent small intestinal tumors following oral exposure to hexavalent chromium and relevance to humans.

Authors:  Chad M Thompson; Deborah M Proctor; Mina Suh; Laurie C Haws; Christopher R Kirman; Mark A Harris
Journal:  Crit Rev Toxicol       Date:  2013-03       Impact factor: 5.635

9.  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

10.  Editor's Highlight: Comparative Dose-Response Analysis of Liver and Kidney Transcriptomic Effects of Trichloroethylene and Tetrachloroethylene in B6C3F1 Mouse.

Authors:  Yi-Hui Zhou; Joseph A Cichocki; Valerie Y Soldatow; Elizabeth H Scholl; Paul J Gallins; Dereje Jima; Hong-Sik Yoo; Weihsueh A Chiu; Fred A Wright; Ivan Rusyn
Journal:  Toxicol Sci       Date:  2017-11-01       Impact factor: 4.849

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