Literature DB >> 15456919

Human carcinogenic risk evaluation, Part V: The national toxicology program vision for assessing the human carcinogenic hazard of chemicals.

John R Bucher1, Christopher Portier.   

Abstract

The National Toxicology Program (NTP) has over 25 years of experience in the design, performance, and interpretation of assays for identifying carcinogenic hazards to humans. Through the years we have examined alternative assays and adjunct assays to the standard rodent cancer bioassay including batteries of genetic toxicity tests and genetically modified mouse models. As our collective understanding of carcinogenesis advances, toxicologists and regulatory scientists will at some point begin to rely on mechanism-based biological observations rather than the two-year rodent bioassay to predict human cancer hazards. The goal of the NTP Vision for the 21st Century is to develop the science base that will advance the use of mechanism-based biological observations, eventually providing a replacement for disease-specific toxicology models in the protection of public health.

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Year:  2004        PMID: 15456919     DOI: 10.1093/toxsci/kfh293

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


  10 in total

1.  Toxicology. Transforming environmental health protection.

Authors:  Francis S Collins; George M Gray; John R Bucher
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2.  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

Review 3.  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

4.  Fathead minnow steroidogenesis: in silico analyses reveals tradeoffs between nominal target efficacy and robustness to cross-talk.

Authors:  Jason E Shoemaker; Kalyan Gayen; Natàlia Garcia-Reyero; Edward J Perkins; Daniel L Villeneuve; Li Liu; Francis J Doyle
Journal:  BMC Syst Biol       Date:  2010-06-28

5.  Use of in vitro HTS-derived concentration-response data as biological descriptors improves the accuracy of QSAR models of in vivo toxicity.

Authors:  Alexander Sedykh; Hao Zhu; Hao Tang; Liying Zhang; Ann Richard; Ivan Rusyn; Alexander Tropsha
Journal:  Environ Health Perspect       Date:  2010-10-27       Impact factor: 9.031

6.  A signal-to-noise crossover dose as the point of departure for health risk assessment.

Authors:  Salomon Sand; Christopher J Portier; Daniel Krewski
Journal:  Environ Health Perspect       Date:  2011-08-03       Impact factor: 9.031

7.  PET/CT imaging of c-Myc transgenic mice identifies the genotoxic N-nitroso-diethylamine as carcinogen in a short-term cancer bioassay.

Authors:  Katja Hueper; Mahmoud Elalfy; Florian Laenger; Roman Halter; Thomas Rodt; Michael Galanski; Juergen Borlak
Journal:  PLoS One       Date:  2012-02-02       Impact factor: 3.240

8.  The Carcinogenome Project: In Vitro Gene Expression Profiling of Chemical Perturbations to Predict Long-Term Carcinogenicity.

Authors:  Amy Li; Xiaodong Lu; Ted Natoli; Joshua Bittker; Nisha S Sipes; Aravind Subramanian; Scott Auerbach; David H Sherr; Stefano Monti
Journal:  Environ Health Perspect       Date:  2019-04       Impact factor: 9.031

9.  Use of cell viability assay data improves the prediction accuracy of conventional quantitative structure-activity relationship models of animal carcinogenicity.

Authors:  Hao Zhu; Ivan Rusyn; Ann Richard; Alexander Tropsha
Journal:  Environ Health Perspect       Date:  2008-04       Impact factor: 9.031

10.  Genomic models of short-term exposure accurately predict long-term chemical carcinogenicity and identify putative mechanisms of action.

Authors:  Daniel Gusenleitner; Scott S Auerbach; Tisha Melia; Harold F Gómez; David H Sherr; Stefano Monti
Journal:  PLoS One       Date:  2014-07-24       Impact factor: 3.240

  10 in total

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