Literature DB >> 8837853

An empirical examination of factors influencing prediction of carcinogenic hazard across species.

G M Gray1, P Li, I Shlyakhter, R Wilson.   

Abstract

This study was stimulated by a recent U.S. Environmental Protection Agency (EPA, 1994) statement in draft environmental carcinogen risk assessment guidelines: "Several kinds of observations from animal studies can contribute to the judgment whether animal responses indicate a significant carcinogenic hazard to humans." We have investigated each of these kinds of observation using the cancer bioassay data system database. We obtained concordances from rat to mouse (and vice versa) for various subgroups of chemicals as follows: chemicals that induced tumors at multiple sites, chemicals that induce cancer in both sexes, chemicals that display reduced latency, and chemicals increasing the rates of rare tumors. The concordances are much higher for these chemical subgroups than the chemical groups that induce tumor at a single site, in only one sex, or without reduced latency, respectively. Thus, our findings support some of the EPA's suggested factors.

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Year:  1995        PMID: 8837853     DOI: 10.1006/rtph.1995.0011

Source DB:  PubMed          Journal:  Regul Toxicol Pharmacol        ISSN: 0273-2300            Impact factor:   3.271


  3 in total

Review 1.  The use of genetically modified mice in cancer risk assessment: challenges and limitations.

Authors:  David A Eastmond; Suryanarayana V Vulimiri; John E French; Babasaheb Sonawane
Journal:  Crit Rev Toxicol       Date:  2013-09       Impact factor: 5.635

Review 2.  In vivo transgenic bioassays and assessment of the carcinogenic potential of pharmaceuticals.

Authors:  J F Contrera; J J DeGeorge
Journal:  Environ Health Perspect       Date:  1998-02       Impact factor: 9.031

3.  3S - Systematic, systemic, and systems biology and toxicology.

Authors:  Lena Smirnova; Nicole Kleinstreuer; Raffaella Corvi; Andre Levchenko; Suzanne C Fitzpatrick; Thomas Hartung
Journal:  ALTEX       Date:  2018       Impact factor: 6.043

  3 in total

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