Dose-Finding Quantitative 18F-FDG PET Imaging Study with the Oral Pan-AKT Inhibitor GSK2141795 in Patients with

Hatice Gungor1, Azeem Saleem2, Syed Babar3

  • 1Ovarian Cancer Action Research Centre, Department of Surgery and Cancer, Imperial College London, London, United Kingdom h.gungor@imperial.ac.uk.

Abstract

Insights

This study shows that the AKT inhibitor GSK2141795 has an exposure-response relationship with decreased tumor glucose metabolism, as measured by 18F-FDG PET scans. This suggests potential for personalized dosing strategies in cancer treatment.

Area of Science:

  • Oncology
  • Pharmacology
  • Molecular Biology

Background:

  • AKT signaling pathway is crucial in cellular processes and drug resistance.
  • Targeting AKT with inhibitors like GSK2141795 is a strategy for cancer therapy.
  • 18F-FDG PET measures tumor glucose metabolism, a potential pharmacodynamic biomarker.

Purpose of the Study:

  • To investigate the relationship between GSK2141795 exposure and 18F-FDG PET markers of glucose metabolism.
  • To determine if 18F-FDG PET can guide personalized dosing of GSK2141795.
  • To analyze tumor biomarkers and assess clinical activity of GSK2141795.

Main Methods:

  • Twelve patients with platinum-resistant ovarian cancer were enrolled in three cohorts.
  • Dynamic 18F-FDG PET scans and pharmacokinetic sampling were performed.
  • Tumor biopsies were collected for mutation and protein expression analysis before and after treatment.

Main Results:

  • An exposure-response relationship was observed between GSK2141795 concentration and decreased 18F-FDG uptake.
  • GSK2141795 demonstrated single-agent activity with a clinical benefit rate of 27% in platinum-resistant ovarian cancer patients.
  • RAS/RAF pathway mutations correlated with resistance to AKT inhibition, while PIK3CA/PIK3R1 mutations did not.

Conclusions:

  • GSK2141795 shows an exposure-response relationship with reduced tumor 18F-FDG uptake and is active and tolerable.
  • The integrated approach using 18F-FDG PET, pharmacokinetics, and biomarker analysis shows promise for personalized cancer treatment development.

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