Literature DB >> 2184307

Prediction of the outcome of rodent carcinogenicity bioassays currently being conducted on 44 chemicals by the National Toxicology Program.

R W Tennant1, J Spalding, S Stasiewicz, J Ashby.   

Abstract

This paper was written to enable evaluation of the concept that knowledge about chemical structure combined with limited short-term genotoxicity and toxicity test results can be used to predict potential carcinogens. Previous attempts have been potentially biased by prior knowledge about the tumorigenicity of chemicals in animals or humans, but the 44 chemicals that are currently being bioassayed for carcinogenicity by the National Toxicology Program provide an opportunity prospectively to evaluate factors that may be predictive of chemical carcinogenicity. Predictions of rodent carcinogenicity for these 44 agents are presented as an example of what we believe is the best available approach at this time. This publication will also enable others to make their own predictions (using whatever methods they believe to have high predictive value) before the results of the animal assays are known.

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Year:  1990        PMID: 2184307     DOI: 10.1093/mutage/5.1.3

Source DB:  PubMed          Journal:  Mutagenesis        ISSN: 0267-8357            Impact factor:   3.000


  17 in total

1.  Warmr: a data mining tool for chemical data.

Authors:  R D King; A Srinivasan; L Dehaspe
Journal:  J Comput Aided Mol Des       Date:  2001-02       Impact factor: 3.686

Review 2.  Paradigm shift in toxicity testing and modeling.

Authors:  Hongmao Sun; Menghang Xia; Christopher P Austin; Ruili Huang
Journal:  AAPS J       Date:  2012-04-20       Impact factor: 4.009

3.  The NIEHS Predictive-Toxicology Evaluation Project.

Authors:  D W Bristol; J T Wachsman; A Greenwell
Journal:  Environ Health Perspect       Date:  1996-10       Impact factor: 9.031

4.  A RASH analysis of National Toxicology Program data: predictions for 30 compounds to be tested in rodent carcinogenesis experiments.

Authors:  T D Jones; C E Easterly
Journal:  Environ Health Perspect       Date:  1996-10       Impact factor: 9.031

5.  Prediction of rodent carcinogenicity bioassays from molecular structure using inductive logic programming.

Authors:  R D King; A Srinivasan
Journal:  Environ Health Perspect       Date:  1996-10       Impact factor: 9.031

6.  The genetic toxicity database of the National Toxicology Program: evaluation of the relationships between genetic toxicity and carcinogenicity.

Authors:  R W Tennant
Journal:  Environ Health Perspect       Date:  1991-12       Impact factor: 9.031

7.  A retrospective evaluation of COMPACT predictions of the outcome of NTP rodent carcinogenicity testing.

Authors:  D F Lewis; C Ioannides; D V Parke
Journal:  Environ Health Perspect       Date:  1995-02       Impact factor: 9.031

8.  Predictions for the outcome of rodent carcinogenicity bioassays: identification of trans-species carcinogens and noncarcinogens.

Authors:  R W Tennant; J Spalding
Journal:  Environ Health Perspect       Date:  1996-10       Impact factor: 9.031

9.  Data selection and treatment of chemicals tested for genotoxicity and carcinogenicity.

Authors:  N Loprieno; G Boncristiani; G Loprieno; M Tesoro
Journal:  Environ Health Perspect       Date:  1991-12       Impact factor: 9.031

10.  The carcinogenesis bioassay in perspective: application in identifying human cancer hazards.

Authors:  V A Fung; J C Barrett; J Huff
Journal:  Environ Health Perspect       Date:  1995 Jul-Aug       Impact factor: 9.031

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