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Target validation and biomarker identification in oncology : the example of aurora kinases

Riccardo Colombo1, Jürgen Moll

  • 1Nerviano Medical Sciences Srl, Nerviano, Italy.

Molecular Diagnosis & Therapy
|April 22, 2008
PubMed

Insights

Targeting Aurora kinases is crucial for cancer therapy. This review details validating these kinases and their biomarkers, using RNA-interference data to guide drug development and clinical trials.

Area of Science:

  • Oncology
  • Molecular Biology
  • Pharmacology

Background:

  • The association between Aurora kinase gene expression and cancer drives interest in developing inhibitors.
  • Aurora kinases are key regulators of mitosis, making them attractive cancer targets.

Purpose of the Study:

  • To review strategies for validating Aurora kinases as drug targets.
  • To discuss the development and interpretation of pharmacodynamic biomarkers for Aurora kinase inhibitors.
  • To highlight the role of RNA-interference data in advancing drug discovery.

Main Methods:

  • Review of target and biomarker validation tools and concepts.
  • Emphasis on validation results from RNA-interference (RNAi) experiments.
  • Analysis of data interpretation based on different technologies.

Main Results:

  • RNA-interference data proved essential for progression to later drug development stages.
  • Validation strategies informed the selection of biomarkers for clinical trials.
  • Demonstrated how target validation aids the drug discovery process.

Conclusions:

  • Effective validation of Aurora kinases and their biomarkers is critical for successful cancer drug development.
  • RNA-interference studies provide valuable insights for therapeutic strategies.
  • Biomarker selection based on robust validation is key for clinical trial success.

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