Activity-based kinase profiling of approved tyrosine kinase inhibitors

Daisuke Kitagawa1, Koichi Yokota, Masaki Gouda

  • 1Carna Biosciences Inc., 1-5-5 Minatojima-Minamimachi, Chuo-ku, Kobe, Japan. daisuke.kitagawa@carnabio.com

Insights

Activity-based kinase profiling revealed that approved tyrosine kinase inhibitors are well-optimized for their targets. This method also identifies off-target kinases contributing to drug side effects, aiding in drug characterization.

Area of Science:

  • Pharmacology
  • Biochemistry
  • Oncology

Background:

  • Tyrosine kinase inhibitors (TKIs) are crucial in targeted cancer therapy.
  • Understanding their specificities and off-target effects is vital for optimizing treatment and minimizing adverse events.

Purpose of the Study:

  • To comprehensively assess the kinase specificities of nine approved TKIs.
  • To correlate kinase activity profiles with in vivo drug concentrations and identify potential off-target effects linked to side effects.

Main Methods:

  • Activity-based kinase profiling was performed on a large panel of human kinases (including tyrosine, serine/threonine, lipid, and mutant kinases) using nine approved TKIs.
  • Kinase profiling was conducted at both K(m) and physiological ATP concentrations (1 mM).
  • Inhibitor IC(50) values were compared with estimated plasma-free concentrations derived from pharmacokinetic data.

Main Results:

  • The study identified numerous potential kinase targets for each TKI at K(m) ATP concentrations.
  • Profiling at physiological ATP concentrations revealed that approved TKIs are generally well-optimized for their intended targets.
  • Off-target kinase activity was implicated as a potential cause of drug side effects.

Conclusions:

  • Large-scale kinase profiling at varying ATP concentrations is a valuable approach for characterizing both on-target and off-target activities of TKIs.
  • This methodology can aid in predicting and understanding drug efficacy and toxicity.
  • The findings support the continued use and development of TKIs in cancer treatment.

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