Literature DB >> 25630682

Regulatory Forum Opinion Piece*: Transgenic/Alternative Carcinogenicity Assays: A Retrospective Review of Studies Submitted to CDER/FDA 1997-2014.

Abigail C Jacobs1, Paul C Brown2.   

Abstract

The International Conference on Harmonization (ICH; S1B of 1997) allows a second species carcinogenicity study to be an alternative to one of the traditional 2-year studies. In the past 17 years, the FDA's Center for Drug Evaluation and Research's (CDER) Executive Carcinogenicity Assessment Committee received 269 alternative carcinogenicity assay protocols for review. This committee's recommendations regarding choice of animal model and dose selection are generally followed by sponsors conducting these studies to increase the acceptability of such studies. The P53(+/-) assay is generally considered appropriate for genotoxic products, and the TgRasH2 assay is appropriate for non-genotoxic or genotoxic drugs. In the United States, the TgAC assay is not used any more and the animals are no longer available. The TgAC assay can detect both tumor promoters and complete carcinogens, and consequently more than half of the dermal TgAC assays resulted in a positive assessment. Currently, more than 75% of mouse carcinogenicity studies are conducted in TgRasH2 mice. Behavior of genotoxic and non-genotoxic drugs in the various assays is reviewed.
© 2015 by The Author(s).

Entities:  

Keywords:  FDA.; carcinogenicity; regulatory; transgenic

Mesh:

Year:  2015        PMID: 25630682     DOI: 10.1177/0192623314566241

Source DB:  PubMed          Journal:  Toxicol Pathol        ISSN: 0192-6233            Impact factor:   1.902


  9 in total

1.  A graph neural network approach for molecule carcinogenicity prediction.

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2.  Moving forward in carcinogenicity assessment: Report of an EURL ECVAM/ESTIV workshop.

Authors:  Raffaella Corvi; Federica Madia; Kathryn Z Guyton; Peter Kasper; Ruthann Rudel; Annamaria Colacci; Jos Kleinjans; Paul Jennings
Journal:  Toxicol In Vitro       Date:  2017-09-12       Impact factor: 3.500

3.  CarcinoPred-EL: Novel models for predicting the carcinogenicity of chemicals using molecular fingerprints and ensemble learning methods.

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Journal:  Sci Rep       Date:  2017-05-18       Impact factor: 4.379

4.  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

Review 5.  Rationale and Roadmap for Developing Panels of Hotspot Cancer Driver Gene Mutations as Biomarkers of Cancer Risk.

Authors:  Kelly L Harris; Meagan B Myers; Karen L McKim; Rosalie K Elespuru; Barbara L Parsons
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6.  Using the Key Characteristics of Carcinogens to Develop Research on Chemical Mixtures and Cancer.

Authors:  Cynthia V Rider; Cliona M McHale; Thomas F Webster; Leroy Lowe; William H Goodson; Michele A La Merrill; Glenn Rice; Lauren Zeise; Luoping Zhang; Martyn T Smith
Journal:  Environ Health Perspect       Date:  2021-03-30       Impact factor: 9.031

Review 7.  rasH2 mouse: reproducibility and stability of carcinogenicity due to a standardized production and monitoring system.

Authors:  Hideki Tsutsumi; Ryo Inoue; Masahiko Yasuda; Riichi Takahashi; Masami Suzuki; Koji Urano
Journal:  J Toxicol Pathol       Date:  2021-11-19       Impact factor: 1.628

8.  Survey of tumorigenic sensitivity in 6-month rasH2-Tg mice studies compared with 2-year rodent assays.

Authors:  Shigeru Hisada; Kenjiro Tsubota; Kenji Inoue; Hisaharu Yamada; Takanori Ikeda; Frank D Sistare
Journal:  J Toxicol Pathol       Date:  2021-11-01       Impact factor: 1.628

Review 9.  Machine learning models for classification tasks related to drug safety.

Authors:  Anita Rácz; Dávid Bajusz; Ramón Alain Miranda-Quintana; Károly Héberger
Journal:  Mol Divers       Date:  2021-06-10       Impact factor: 3.364

  9 in total

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