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Related Experiment Videos

In vitro carcinogenicity testing: present and future perspectives in pharmaceutical development.

L A Kowalski1

  • 1Vera Genics Ltd, 3590 West 41st Avenue, Vancouver, BC V6N 3E6, Canada. kowalski@attglobal.net

Current Opinion in Drug Discovery & Development
|December 1, 2001
PubMed
Summary

Drug development requires carcinogenicity testing. This review covers in vitro assays, including International Conference on Harmonization (ICH) requirements and emerging high-throughput screens, to predict in vivo tumor formation.

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Area of Science:

  • Pharmacology and Toxicology
  • Drug Development and Safety Assessment

Background:

  • Carcinogenicity testing is a mandatory step in new drug development.
  • In vivo lifetime assays in rodents are the standard but are time-consuming and costly.
  • In vitro assays are crucial for early identification of potential carcinogens.

Purpose of the Study:

  • To review in vitro carcinogenicity assays used in drug development.
  • To discuss assays required by the International Conference on Harmonization (ICH).
  • To explore current, non-required in vitro assays and future high-throughput screening methods.

Main Methods:

  • Review of established and emerging in vitro carcinogenicity testing methodologies.
  • Discussion of regulatory requirements, specifically ICH guidelines.

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  • Exploration of high-throughput screening (HTS) and in silico approaches.

    • Main Results:

    • In vitro assays can effectively screen drug candidates for carcinogenic potential before in vivo studies.
    • ICH guidelines mandate specific in vitro tests.
    • Advancements include high-throughput compatible screens and potential human cell-based assays.

    Conclusions:

    • In vitro carcinogenicity assays are vital for efficient drug development, reducing reliance on animal testing.
    • The integration of HTS and in silico methods promises more predictive and rapid safety assessments.
    • Future drug safety evaluations will likely incorporate advanced in vitro and computational approaches.