Experimental Medicine Study to Measure Immune Checkpoint Receptors PD-1 and GITR Turnover Rates In Vivo in Humans

Michael E Lassman1, Derek L Chappell1, Thomas McAvoy1

  • 1Translational Molecular Biomarkers, Merck & Co., Inc., Kenilworth, New Jersey, USA.

Insights

Determining the right dose for cancer treatments targeting immune-checkpoint receptors (ICRs) is crucial. This study measured the in vivo turnover rates of GITR and PD-1, providing key data for optimizing anti-ICR monoclonal antibody therapy.

Area of Science:

  • Biopharmaceutical industry
  • Oncology
  • Immunology

Background:

  • Monoclonal antibodies (mAbs) targeting immune-checkpoint receptors (ICRs) are a significant focus in cancer treatment development.
  • Selecting the appropriate dose for anti-ICR mAbs is challenging, as the traditional maximum tolerated dose paradigm is unsuitable.
  • Dose selection requires understanding the pharmacology of immune signaling, particularly the turnover rate of ICRs.

Purpose of the Study:

  • To measure the in vivo turnover rates of immune-checkpoint receptors (ICRs) in humans.
  • To establish a method for determining dose levels for anti-ICR mAb therapies based on receptor pharmacology.
  • To report the half-lives of GITR and PD-1 turnover.

Main Methods:

  • Utilized stable isotope labeling mass spectrometry with 13C6-leucine administration over 15 hours in 10 participants.
  • Measured 13C6-leucine enrichment kinetics in vivo for two key ICR targets: GITR and PD-1.
  • Calculated median half-lives associated with the turnover of GITR and PD-1.

Main Results:

  • The median half-life for GITR turnover was determined to be 55.6 hours.
  • The median half-life for PD-1 turnover was found to be ≥49.5 hours.
  • This study presents the first in vivo measurements of GITR and PD-1 turnover rates in humans.

Conclusions:

  • The developed stable isotope labeling mass spectrometry approach provides a method to measure in vivo ICR turnover rates.
  • This methodology can inform optimal dose selection for anti-ICR mAb cancer therapies.
  • The approach is applicable to other immune-checkpoint receptors and protein targets in general.

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