Literature DB >> 18281259

Interlaboratory evaluation of genomic signatures for predicting carcinogenicity in the rat.

Mark R Fielden1, Alex Nie, Michael McMillian, Chandi S Elangbam, Bruce A Trela, Yi Yang, Robert T Dunn, Yvonne Dragan, Ronny Fransson-Stehen, Matthew Bogdanffy, Stephen P Adams, William R Foster, Shen-Jue Chen, Phil Rossi, Peter Kasper, David Jacobson-Kram, Kay S Tatsuoka, Patrick J Wier, Jeremy Gollub, Donald N Halbert, Alan Roter, Jamie K Young, Joseph F Sina, Jennifer Marlowe, Hans-Joerg Martus, Jiri Aubrecht, Andrew J Olaharski, Nigel Roome, Paul Nioi, Ingrid Pardo, Ron Snyder, Richard Perry, Peter Lord, William Mattes, Bruce D Car.   

Abstract

The Critical Path Institute recently established the Predictive Safety Testing Consortium, a collaboration between several companies and the U.S. Food and Drug Administration, aimed at evaluating and qualifying biomarkers for a variety of toxicological endpoints. The Carcinogenicity Working Group of the Predictive Safety Testing Consortium has concentrated on sharing data to test the predictivity of two published hepatic gene expression signatures, including the signature by Fielden et al. (2007, Toxicol. Sci. 99, 90-100) for predicting nongenotoxic hepatocarcinogens, and the signature by Nie et al. (2006, Mol. Carcinog. 45, 914-933) for predicting nongenotoxic carcinogens. Although not a rigorous prospective validation exercise, the consortium approach created an opportunity to perform a meta-analysis to evaluate microarray data from short-term rat studies on over 150 compounds. Despite significant differences in study designs and microarray platforms between laboratories, the signatures proved to be relatively robust and more accurate than expected by chance. The accuracy of the Fielden et al. signature was between 63 and 69%, whereas the accuracy of the Nie et al. signature was between 55 and 64%. As expected, the predictivity was reduced relative to internal validation estimates reported under identical test conditions. Although the signatures were not deemed suitable for use in regulatory decision making, they were deemed worthwhile in the early assessment of drugs to aid decision making in drug development. These results have prompted additional efforts to rederive and evaluate a QPCR-based signature using these samples. When combined with a standardized test procedure and prospective interlaboratory validation, the accuracy and potential utility in preclinical applications can be ascertained.

Entities:  

Mesh:

Year:  2008        PMID: 18281259     DOI: 10.1093/toxsci/kfn022

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


  17 in total

1.  Mechanisms of crystalline silica-induced pulmonary toxicity revealed by global gene expression profiling.

Authors:  Rajendran Sellamuthu; Christina Umbright; Shengqiao Li; Michael Kashon; Pius Joseph
Journal:  Inhal Toxicol       Date:  2011-11-16       Impact factor: 2.724

Review 2.  The evolution of bioinformatics in toxicology: advancing toxicogenomics.

Authors:  Cynthia A Afshari; Hisham K Hamadeh; Pierre R Bushel
Journal:  Toxicol Sci       Date:  2010-12-22       Impact factor: 4.849

3.  Improving prediction of carcinogenicity to reduce, refine, and replace the use of experimental animals.

Authors:  Todd Bourcier; Tim McGovern; Lidiya Stavitskaya; Naomi Kruhlak; David Jacobson-Kram
Journal:  J Am Assoc Lab Anim Sci       Date:  2015-03       Impact factor: 1.232

Review 4.  Toxicogenomic profiling of chemically exposed humans in risk assessment.

Authors:  Cliona M McHale; Luoping Zhang; Alan E Hubbard; Martyn T Smith
Journal:  Mutat Res       Date:  2010-04-09       Impact factor: 2.433

5.  Molecular insights into the progression of crystalline silica-induced pulmonary toxicity in rats.

Authors:  Rajendran Sellamuthu; Christina Umbright; Jenny R Roberts; Amy Cumpston; Walter McKinney; Bean T Chen; David Frazer; Shengqiao Li; Michael Kashon; Pius Joseph
Journal:  J Appl Toxicol       Date:  2012-03-19       Impact factor: 3.446

Review 6.  Genetic toxicology in the 21st century: reflections and future directions.

Authors:  Brinda Mahadevan; Ronald D Snyder; Michael D Waters; R Daniel Benz; Raymond A Kemper; Raymond R Tice; Ann M Richard
Journal:  Environ Mol Mutagen       Date:  2011-04-28       Impact factor: 3.216

Review 7.  Practical application of toxicogenomics for profiling toxicant-induced biological perturbations.

Authors:  Naoki Kiyosawa; Sunao Manabe; Takashi Yamoto; Atsushi Sanbuissho
Journal:  Int J Mol Sci       Date:  2010-09-20       Impact factor: 5.923

8.  Current challenges and controversies in drug-induced liver injury.

Authors:  Alberto Corsini; Patricia Ganey; Cynthia Ju; Neil Kaplowitz; Dominique Pessayre; Robert Roth; Paul B Watkins; Mudher Albassam; Baolian Liu; Saray Stancic; Laura Suter; Michele Bortolini
Journal:  Drug Saf       Date:  2012-12-01       Impact factor: 5.606

Review 9.  Comprehensive literature review and statistical considerations for microarray meta-analysis.

Authors:  George C Tseng; Debashis Ghosh; Eleanor Feingold
Journal:  Nucleic Acids Res       Date:  2012-01-19       Impact factor: 16.971

10.  A metabolomics investigation of non-genotoxic carcinogenicity in the rat.

Authors:  Zsuzsanna Ament; Claire L Waterman; James A West; Catherine Waterfield; Richard A Currie; Jayne Wright; Julian L Griffin
Journal:  J Proteome Res       Date:  2013-11-07       Impact factor: 4.466

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.