Literature DB >> 7678908

The influence of chemical structure on the extent and sites of carcinogenesis for 522 rodent carcinogens and 55 different human carcinogen exposures.

J Ashby1, D Paton.   

Abstract

Gold and her colleagues have tabulated the results of rodent bioassays on 522 chemicals and have analysed the data. The present study complements those analyses by providing a perspective from the viewpoint of the chemical structure of the carcinogens. The chemical structure of each of the carcinogens is displayed and the Gold database is represented with the test agents as the primary variable. The carcinogens are gathered into six chemical classes and each chemical is assessed for structural alerts to DNA reactivity. The database is then analysed using an integration of the following parameters: bioassay in rat, mouse or both; structural alert status; chemical class; sites and multiplicity of carcinogenesis, and trans-species carcinogenicity. A series of Figures is presented that enables rapid acquaintance with what represents the core database of rodent carcinogenicity. The several analyses presented combine in endorsing the reality of two broad classes of rodent carcinogen--presumed DNA-reactive and others (putative genotoxic and non-genotoxic carcinogens, but semantics have been largely avoided). Vainio and his colleagues have tabulated 55 situations in which humans have succumbed to chemically induced cancer, and have listed the tissues affected. This database of human carcinogens has been analysed in the present study as done for the rodent carcinogen database, and comparisons made between the two. The predominance of putative genotoxic carcinogens in the human database was confirmed, as was the reality of putative non-genotoxic carcinogenicity in humans. It is concluded that putative genotoxic rodent carcinogenesis can be correlated both with chemical structure and the extent and nature of the induced effect, and that it is of clear relevance to humans. In contrast, it is concluded that putative non-genotoxic rodent carcinogenesis is more closely related to the test species than to the test chemical, and that it is essentially unpredictable in the absence of mechanistic models. In the absence of such models nongenotoxic carcinogenic effects should be extrapolated to humans with caution. Progress in the accurate prediction and extrapolation of rodent carcinogenicity will be helped by a common, if only temporary, enabling acceptance that not all carcinogens are intrinsically genotoxic.

Entities:  

Mesh:

Substances:

Year:  1993        PMID: 7678908     DOI: 10.1016/0027-5107(93)90003-x

Source DB:  PubMed          Journal:  Mutat Res        ISSN: 0027-5107            Impact factor:   2.433


  16 in total

1.  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 2.  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

3.  Permeation of roxarsone and its metabolites increases caco-2 cell proliferation.

Authors:  Gladys S Bayse; Latanya P Hammonds-Odie; Kimberly M Jackson; Deidre K Tucker; Ward G Kirlin
Journal:  Adv Biol Chem       Date:  2013-08

4.  Mammary carcinogen-protein binding potentials: novel and biologically relevant structure-activity relationship model descriptors.

Authors:  A R Cunningham; S Qamar; C A Carrasquer; P A Holt; J M Maguire; S L Cunningham; J O Trent
Journal:  SAR QSAR Environ Res       Date:  2010-07       Impact factor: 3.000

Review 5.  Hepatic neoplasia: reflections and ruminations.

Authors:  K Aterman
Journal:  Virchows Arch       Date:  1995       Impact factor: 4.064

6.  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

7.  Structure-activity relationship models for rat carcinogenesis and assessing the role mutagens play in model predictivity.

Authors:  C A Carrasquer; K Batey; S Qamar; A R Cunningham; S L Cunningham
Journal:  SAR QSAR Environ Res       Date:  2014-04-04       Impact factor: 3.000

Review 8.  The Salmonella mutagenicity assay: the stethoscope of genetic toxicology for the 21st century.

Authors:  Larry D Claxton; Gisela de A Umbuzeiro; David M DeMarini
Journal:  Environ Health Perspect       Date:  2010-11       Impact factor: 9.031

9.  Data quality in predictive toxicology: identification of chemical structures and calculation of chemical properties.

Authors:  C Helma; S Kramer; B Pfahringer; E Gottmann
Journal:  Environ Health Perspect       Date:  2000-11       Impact factor: 9.031

10.  Prediction of rodent carcinogenicity using the DEREK system for 30 chemicals currently being tested by the National Toxicology Program. The DEREK Collaborative Group.

Authors:  C A Marchant
Journal:  Environ Health Perspect       Date:  1996-10       Impact factor: 9.031

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.