Literature DB >> 10906445

The use of structure-activity relationships and markers of cell toxicity to detect non-genotoxic carcinogens.

R D Combes1.   

Abstract

In contrast to the situation for genotoxic carcinogens, few in vitro tests exist that can detect early markers of the events thought to be associated with non-genotoxic carcinogenesis. Also, comparatively little is known about the quantitative structure-activity relationships (Q)SARs of these agents. This review discusses published SAR studies conducted on non-genotoxic carcinogens, in relation to the use of several markers of in vitro cell toxicity (inhibition of gap-junctional intercellular communication, inhibition of tubulin polymerization, modulation of apoptosis and induction of cell proliferation), which are used as endpoints for screening this class of carcinogen. Much of the work has involved the identification of new biophores (substructural features of molecules associated with toxicity), as well as other structural features, which are thought to predispose the chemicals to ligand binding with specific target molecules acting as possible receptors (e.g. protein kinase C, the oestrogen, peroxisome-proliferator and tubulin protein receptors), implicated in the mechanism of toxicity involved. It is concluded that (a) there is an urgent need for more information on (Q)SARs for non-genotoxic carcinogens; (b) this information should be acquired by using several different approaches in a variety of laboratories; and (c) such research should proceed together with more studies on the mechanisms of cell toxicity caused by these chemicals, including the identification and characterisation of further specific receptors involved in mediating the various types of cell toxicity associated with this type of carcinogenesis.

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Year:  2000        PMID: 10906445     DOI: 10.1016/s0887-2333(00)00026-6

Source DB:  PubMed          Journal:  Toxicol In Vitro        ISSN: 0887-2333            Impact factor:   3.500


  6 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

2.  Quantitative and qualitative models for carcinogenicity prediction for non-congeneric chemicals using CP ANN method for regulatory uses.

Authors:  Natalja Fjodorova; Marjan Vračko; Marjan Tušar; Aneta Jezierska; Marjana Novič; Ralph Kühne; Gerrit Schüürmann
Journal:  Mol Divers       Date:  2009-08-15       Impact factor: 2.943

3.  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 4.  Models and methods for in vitro testing of hepatic gap junctional communication.

Authors:  Michaël Maes; Sara Crespo Yanguas; Joost Willebrords; Mathieu Vinken
Journal:  Toxicol In Vitro       Date:  2015-09-28       Impact factor: 3.500

Review 5.  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

6.  Connexin-based signaling and drug-induced hepatotoxicity.

Authors:  Michaël Maes; Mathieu Vinken
Journal:  J Clin Transl Res       Date:  2017-02-12
  6 in total

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