Literature DB >> 11401763

Data quality in predictive toxicology: reproducibility of rodent carcinogenicity experiments.

E Gottmann1, S Kramer, B Pfahringer, C Helma.   

Abstract

We compared 121 replicate rodent carcinogenicity assays from the two parts (National Cancer Institute/National Toxicology Program and literature) of the Carcinogenic Potency Database (CPDB) to estimate the reliability of these experiments. We estimated a concordance of 57% between the overall rodent carcinogenicity classifications from both sources. This value did not improve substantially when additional biologic information (species, sex, strain, target organs) was considered. These results indicate that rodent carcinogenicity assays are much less reproducible than previously expected, an effect that should be considered in the development of structure-activity relationship models and the risk assessment process.

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Year:  2001        PMID: 11401763      PMCID: PMC1240311          DOI: 10.1289/ehp.01109509

Source DB:  PubMed          Journal:  Environ Health Perspect        ISSN: 0091-6765            Impact factor:   9.031


  11 in total

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Journal:  Regul Toxicol Pharmacol       Date:  1994-08       Impact factor: 3.271

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8.  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

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Authors:  R W Tennant; E Zeiger
Journal:  Environ Health Perspect       Date:  1993-04       Impact factor: 9.031

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Journal:  Environ Health Perspect       Date:  1984-12       Impact factor: 9.031

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  10 in total

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Journal:  Mol Divers       Date:  2006-05-24       Impact factor: 2.943

2.  Toxicology for the twenty-first century.

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Journal:  Nature       Date:  2009-07-09       Impact factor: 49.962

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4.  Variability in in vivo studies: Defining the upper limit of performance for predictions of systemic effect levels.

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Journal:  Comput Toxicol       Date:  2020-08-01

Review 5.  Paradigm shift in toxicity testing and modeling.

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Journal:  AAPS J       Date:  2012-04-20       Impact factor: 4.009

6.  Reproducibility and Research Integrity.

Authors:  David B Resnik; Adil E Shamoo
Journal:  Account Res       Date:  2016-11-07       Impact factor: 2.622

7.  Utility of In Vitro Bioactivity as a Lower Bound Estimate of In Vivo Adverse Effect Levels and in Risk-Based Prioritization.

Authors:  Katie Paul Friedman; Matthew Gagne; Lit-Hsin Loo; Panagiotis Karamertzanis; Tatiana Netzeva; Tomasz Sobanski; Jill A Franzosa; Ann M Richard; Ryan R Lougee; Andrea Gissi; Jia-Ying Joey Lee; Michelle Angrish; Jean Lou Dorne; Stiven Foster; Kathleen Raffaele; Tina Bahadori; Maureen R Gwinn; Jason Lambert; Maurice Whelan; Mike Rasenberg; Tara Barton-Maclaren; Russell S Thomas
Journal:  Toxicol Sci       Date:  2020-01-01       Impact factor: 4.849

8.  Chemical carcinogen safety testing: OECD expert group international consensus on the development of an integrated approach for the testing and assessment of chemical non-genotoxic carcinogens.

Authors:  Miriam N Jacobs; Annamaria Colacci; Raffaella Corvi; Monica Vaccari; M Cecilia Aguila; Marco Corvaro; Nathalie Delrue; Daniel Desaulniers; Norman Ertych; Abigail Jacobs; Mirjam Luijten; Federica Madia; Akiyoshi Nishikawa; Kumiko Ogawa; Kiyomi Ohmori; Martin Paparella; Anoop Kumar Sharma; Paule Vasseur
Journal:  Arch Toxicol       Date:  2020-06-27       Impact factor: 5.153

9.  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

10.  Longer rodent bioassay fails to address 2-year bioassay's flaws.

Authors:  Joseph Manuppello; Catherine Willett
Journal:  Environ Health Perspect       Date:  2008-12       Impact factor: 9.031

  10 in total

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