High-content multiplexed tissue imaging and quantification for cancer drug discovery

Beverly L Falcon1, Julie Stewart, Scharri Ezell

  • 1Eli Lilly and Company, Department of Cancer Angiogenesis, Lilly Corporate Center, Indianapolis, IN 46285, USA.

Drug Discovery Today
|September 5, 2012
PubMed

Insights

This study introduces a high-content immunohistochemistry (IHC) method for quantifying tumor phenotypes. This approach aids cancer drug discovery by detailing drug effects on angiogenesis, hypoxia, proliferation, and apoptosis in vivo.

Area of Science:

  • Oncology
  • Cancer Therapeutics
  • Drug Discovery

Background:

  • Targeting multiple cancer hallmarks with drug combinations is a promising therapeutic strategy.
  • Understanding the in vivo mechanisms of action for single agents and combinations requires phenotypic quantification.
  • Traditional immunohistochemistry (IHC) methods are not suitable for high-throughput drug discovery.

Purpose of the Study:

  • To develop a high-content IHC method for quantifying key tumor phenotypes.
  • To enable a deeper understanding of cancer drug mechanisms of action.
  • To facilitate high-throughput analysis in cancer drug discovery.

Main Methods:

  • Development of a high-content method utilizing immunohistochemistry (IHC).
  • Quantification of tumor angiogenesis, vascular normalization, hypoxia, tumor cell proliferation, and apoptosis.
  • Application of the method to quantify phenotypic changes in tumor models.

Main Results:

  • The described high-content IHC method allows for quantitative assessment of multiple tumor phenotypes.
  • This method increases understanding of tumor models and their responses to therapeutic interventions.
  • Novel mechanisms of action for cancer therapeutics can be elucidated.

Conclusions:

  • A high-content IHC method provides a powerful tool for phenotypic quantification in cancer research.
  • This approach is valuable for advancing high-throughput cancer drug discovery.
  • Improved understanding of drug efficacy and mechanisms in vivo is achievable.

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