Model-based dose selection to inform translational clinical oncology development of WNT974, a first-in-class

Yan Ji1, Pai-Hsi Huang1, Steve Woolfenden2

  • 1Novartis Pharmaceuticals Corporation, East Hanover, New Jersey, USA.

Insights

A model-based approach using pharmacokinetics, biomarkers, and safety data identified an optimal dose for WNT974, a Porcupine inhibitor, in advanced cancer patients. This method aids early oncology trial dose selection.

Area of Science:

  • Oncology
  • Pharmacology
  • Clinical Trials

Background:

  • WNT974 is a first-in-class Porcupine inhibitor targeting Wnt secretion, under clinical development for advanced solid tumors.
  • A Phase I trial investigated WNT974 dosing, but a maximum tolerated dose (MTD) was not established due to lack of dose-limiting toxicity.

Purpose of the Study:

  • To utilize a model-based approach to determine the recommended dose for expansion (RDE) for WNT974.
  • To integrate pharmacokinetic, biomarker, and safety data for optimal dose selection in early oncology trials.

Main Methods:

  • Population pharmacokinetic (PK) modeling was employed.
  • Exposure-response analyses integrated a target-inhibition biomarker (skin AXIN2 mRNA) and adverse event (dysgeusia) data.
  • The RDE was selected based on predicted exposure within a target range balancing inhibition and tolerability.

Main Results:

  • The model-based approach successfully estimated a target exposure range for WNT974.
  • A dose yielding exposure within this target range was identified as the RDE.
  • This approach provided an alternative to the conventional MTD for selecting an optimal biological dose.

Conclusions:

  • Model-based dose selection integrating PK, biomarker, and safety data is effective for early oncology trials.
  • This strategy can inform translational clinical oncology drug development.
  • WNT974 dose selection was optimized using an integrated PK/PD/safety model.

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