Quantitative Systems Pharmacology Model to Predict Target Occupancy by Bruton Tyrosine Kinase Inhibitors in Patients

Oleg Demin1, Ying Ou2, Galina Kolesova1

  • 1InSysBio CY, Limassol, Cyprus.

Insights

Quantitative systems pharmacology modeling linked Bruton tyrosine kinase (BTK) inhibitor levels to treatment effectiveness. Zanubrutinib demonstrated higher BTK occupancy than ibrutinib and acalabrutinib, especially during dose interruptions, suggesting improved efficacy.

Area of Science:

  • Pharmacology
  • Computational Biology
  • Oncology

Background:

  • Bruton tyrosine kinase (BTK) inhibitor effectiveness depends on target tissue occupancy.
  • Clinical studies show varied progression-free survival (PFS) for BTK inhibitors in chronic lymphocytic leukemia (CLL).

Purpose of the Study:

  • To link quantitative differences in BTK occupancy to efficacy profiles of three covalent BTK inhibitors.
  • To develop a quantitative systems pharmacology (QSP) model for BTK occupancy in B-cell malignancies.

Main Methods:

  • Developed a QSP model describing BTK inhibitor pharmacokinetics, intracellular concentrations, BTK binding, and turnover.
  • Validated the model using existing clinical BTK occupancy data.
  • Simulated BTK occupancy across different tissues (PBMCs, lymph nodes, bone marrow) and clinical scenarios, including dose interruptions.

Main Results:

  • The QSP model predicted higher median trough BTK occupancy for zanubrutinib compared to ibrutinib and acalabrutinib in PBMCs, lymph nodes, and bone marrow.
  • Differences in BTK occupancy were more significant during simulated dose interruptions than at trough steady-state.
  • Model predictions aligned with observed clinical efficacy data.

Conclusions:

  • Maintaining high BTK occupancy at steady-state trough and during treatment interruptions is crucial for maximizing BTK inhibitor efficacy.
  • QSP modeling effectively integrates in vitro and clinical data to predict receptor occupancy in challenging tissues.
  • This approach provides insights into differentiated efficacy among BTK inhibitors.

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