Literature DB >> 8208133

Prediction of rodent carcinogenicity for 44 chemicals: results.

J Ashby1, R W Tennant.   

Abstract

Methods by which rodent carcinogenicity can be predicted have been prospectively validated for 40 chemicals evaluated for carcinogenicity by the US National Toxicology Program. It is concluded that a chemical of unknown carcinogenicity can be predicted to be in one of three possible categories--probably carcinogenic, probably non-carcinogenic or of uncertain activity. The last category is unlikely to contain genotoxic trans-species and/or multiple-site carcinogens. The component parameters of such predictions are one or more of several aspects of chemical structure, genotoxicity and rodent toxicity. Each of these parameters requires refinement but all are developed to the point that they can be integrated to make assessment of possible carcinogenicity. Carcinogenicity tends to be overpredicted by this integrated technique, each part of which has already been simulated by computer modelling. Improvements in predictive methodology will flow from three assumptions: (i) that emphasis must be placed equally on the properties of the test chemical and the responses it elicits in tissues for which carcinogenicity is to be predicted, (ii) that the integration of different predictive technique is preferable to the exclusive use of a single technique, and (iii) that the general predictivity of any technique or combination of techniques appears to be limited to < or = 80%, imposed by inadequate knowledge, and uncertainties in the experimental evaluation and classification of carcinogenic responses for diverse chemicals. This last statement does not preclude the attainment of higher accuracy within a congeneric series of chemicals. Foreknowledge of the likely outcome of a rodent carcinogenicity bioassay is now possible and will contribute to the focusing of animal testing resources.

Entities:  

Mesh:

Substances:

Year:  1994        PMID: 8208133     DOI: 10.1093/mutage/9.1.7

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


  20 in total

1.  Predictive modeling of chemical hazard by integrating numerical descriptors of chemical structures and short-term toxicity assay data.

Authors:  Ivan Rusyn; Alexander Sedykh; Yen Low; Kathryn Z Guyton; Alexander Tropsha
Journal:  Toxicol Sci       Date:  2012-03-02       Impact factor: 4.849

2.  Global structure-activity relationship model for nonmutagenic carcinogens using virtual ligand-protein interactions as model descriptors.

Authors:  Albert R Cunningham; C Alex Carrasquer; Shahid Qamar; Jon M Maguire; Suzanne L Cunningham; John O Trent
Journal:  Carcinogenesis       Date:  2012-06-07       Impact factor: 4.944

Review 3.  Evaluation of the carcinogenic potential of pharmaceuticals. Opportunities arising from the International Conference on Harmonisation.

Authors:  A M Monro; J S MacDonald
Journal:  Drug Saf       Date:  1998-05       Impact factor: 5.606

Review 4.  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

5.  Comparison of 17 methods of predicting the carcinogenicity of 30 chemicals.

Authors:  J Ashby
Journal:  Environ Health Perspect       Date:  1997-05       Impact factor: 9.031

6.  A mechanism-mediated model for carcinogenicity: model content and prediction of the outcome of rodent carcinogenicity bioassays currently being conducted on 25 organic chemicals.

Authors:  R Purdy
Journal:  Environ Health Perspect       Date:  1996-10       Impact factor: 9.031

Review 7.  Use of mechanism-based structure-activity relationships analysis in carcinogenic potential ranking for drinking water disinfection by-products.

Authors:  Yin-Tak Woo; David Lai; Jennifer L McLain; Mary Ko Manibusan; Vicki Dellarco
Journal:  Environ Health Perspect       Date:  2002-02       Impact factor: 9.031

8.  Estimating the extent of the health hazard posed by high-production volume chemicals.

Authors:  A R Cunningham; H S Rosenkranz
Journal:  Environ Health Perspect       Date:  2001-09       Impact factor: 9.031

9.  Prediction of rodent carcinogenicity for 30 chemicals.

Authors:  J Ashby
Journal:  Environ Health Perspect       Date:  1996-10       Impact factor: 9.031

Review 10.  Mammary gland neoplasia in long-term rodent studies.

Authors:  I H Russo; J Russo
Journal:  Environ Health Perspect       Date:  1996-09       Impact factor: 9.031

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.