Literature DB >> 16769241

Evaluation of the ability of a battery of three in vitro genotoxicity tests to discriminate rodent carcinogens and non-carcinogens II. Further analysis of mammalian cell results, relative predictivity and tumour profiles.

David Kirkland1, Marilyn Aardema, Lutz Müller, Hayashi Makoto.   

Abstract

One of the consequences of the low specificity of the in vitro mammalian cell genotoxicity assays reported in our previous paper [D. Kirkland, M. Aardema, L. Henderson, L. Muller, Evaluation of the ability of a battery of three in vitro genotoxicity tests to discriminate rodent carcinogens and non-carcinogens. I. Sensitivity, specificity and relative predictivity, Mutat. Res. 584 (2005) 1-256] is industry and regulatory agencies dealing with a large number of false-positive results during the safety assessment of new chemicals and drugs. Addressing positive results from in vitro genotoxicity assays to determine which are "false" requires extensive resources, including the conduct of additional animal studies. In order to reduce animal usage, and to conserve industry and regulatory agency resources, we thought it was important to raise the question as to whether the protocol requirements for a valid in vitro assay or the criteria for a positive result could be changed in order to increase specificity without a significant loss in sensitivity of these tests. We therefore analysed some results of the mouse lymphoma assay (MLA) and the chromosomal aberration (CA) test obtained for rodent carcinogens and non-carcinogens in more detail. For a number of chemicals that are positive only in either of these mammalian cell tests (i.e. negative in the Ames test) there was no correlation between rodent carcinogenicity and level of toxicity (we could not analyse this for the CA test as insufficient data were available in publications), magnitude of response or lowest effective positive concentration. On the basis of very limited in vitro and in vivo data, we could also find no correlation between the above parameters and formation of DNA adducts. Therefore, a change to the current criteria for required level of toxicity in the MLA, to limit positive calls to certain magnitudes of response, or to certain concentration ranges would not improve the specificity of the tests without significantly reducing the sensitivity. We also investigated a possible correlation between tumour profile (trans-species, trans-sex and multi-site versus single-species, single-sex and single-site) and pattern of genotoxicity results. Carcinogens showing the combination of trans-species, trans-sex and multi-site tumour profile were much more prevalent (70% more) in the group of chemicals giving positive results in all three in vitro assays than amongst those giving all negative results. However, single-species, single-sex, single-site carcinogens were not very prevalent even amongst those chemicals giving three negative results in vitro. Surprisingly, when mixed positive and negative results were compared, multi-site carcinogens were highly prevalent amongst chemicals giving only a single positive result in the battery of three in vitro tests. Finally we extended our relative predictivity (RP) calculations to combinations of positive and negative results in the genotoxicity battery. For two out of three tests positive, the RP for carcinogenicity was no higher than 1.0 and for 2/3 tests negative the RP for non-carcinogenicity was either zero (for Ames+MLA+MN) or 1.7 (for Ames+MLA+CA). Thus, all values were less than a meaningful RP of two, and indicate that it is not possible to predict outcome of the rodent carcinogenicity study when only 2/3 genotoxicity results are in agreement.

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Year:  2006        PMID: 16769241     DOI: 10.1016/j.mrgentox.2006.04.017

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


  20 in total

1.  Characterization and interlaboratory comparison of a gene expression signature for differentiating genotoxic mechanisms.

Authors:  Heidrun Ellinger-Ziegelbauer; Jennifer M Fostel; Chinami Aruga; Daniel Bauer; Eric Boitier; Shibing Deng; Donna Dickinson; Anne-Celine Le Fevre; Albert J Fornace; Olivier Grenet; Yizhong Gu; Jean-Christophe Hoflack; Masako Shiiyama; Roger Smith; Ronald D Snyder; Catherine Spire; Gotaro Tanaka; Jiri Aubrecht
Journal:  Toxicol Sci       Date:  2009-05-22       Impact factor: 4.849

2.  Human-Derived In Vitro Models Used for Skin Toxicity Testing Under REACh.

Authors:  Susanne N Kolle; Robert Landsiedel
Journal:  Handb Exp Pharmacol       Date:  2021

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.  Micronucleus Formation Induced by Glyphosate and Glyphosate-Based Herbicides in Human Peripheral White Blood Cells.

Authors:  Károly Nagy; Roba Argaw Tessema; István Szász; Tamara Smeirat; Alaa Al Rajo; Balázs Ádám
Journal:  Front Public Health       Date:  2021-05-24

5.  Moving forward in human cancer risk assessment.

Authors:  Richard S Paules; Jiri Aubrecht; Raffaella Corvi; Bernward Garthoff; Jos C Kleinjans
Journal:  Environ Health Perspect       Date:  2010-12-13       Impact factor: 9.031

Review 6.  Toxicity testing in the 21 century: defining new risk assessment approaches based on perturbation of intracellular toxicity pathways.

Authors:  Sudin Bhattacharya; Qiang Zhang; Paul L Carmichael; Kim Boekelheide; Melvin E Andersen
Journal:  PLoS One       Date:  2011-06-20       Impact factor: 3.240

7.  Cell transformation assays for prediction of carcinogenic potential: state of the science and future research needs.

Authors:  Stuart Creton; Marilyn J Aardema; Paul L Carmichael; James S Harvey; Francis L Martin; Robert F Newbold; Michael R O'Donovan; Kamala Pant; Albrecht Poth; Ayako Sakai; Kiyoshi Sasaki; Andrew D Scott; Leonard M Schechtman; Rhine R Shen; Noriho Tanaka; Hemad Yasaei
Journal:  Mutagenesis       Date:  2011-08-17       Impact factor: 3.000

8.  A novel approach using DNA-repair-deficient chicken DT40 cell lines for screening and characterizing the genotoxicity of environmental contaminants.

Authors:  Kyunghee Ji; Toshiaki Kogame; Kyungho Choi; Xin Wang; Jinyoung Lee; Yoshihito Taniguchi; Shunichi Takeda
Journal:  Environ Health Perspect       Date:  2009-06-26       Impact factor: 9.031

9.  Assessment of genotoxicity and antigenotoxicity of an aqueous extract of Cleistocalyx nervosum var. paniala in in vitro and in vivo models.

Authors:  Suphachai Charoensin; Sirinya Taya; Sugunya Wongpornchai; Rawiwan Wongpoomchai
Journal:  Interdiscip Toxicol       Date:  2012-12

10.  A toxicogenomic approach for the prediction of murine hepatocarcinogenesis using ensemble feature selection.

Authors:  Johannes Eichner; Nadine Kossler; Clemens Wrzodek; Arno Kalkuhl; Dorthe Bach Toft; Nina Ostenfeldt; Virgile Richard; Andreas Zell
Journal:  PLoS One       Date:  2013-09-10       Impact factor: 3.240

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