Pharmacokinetic assessment of (18)F-(2S,4R)-4-fluoroglutamine in patients with cancer Journal Article


Authors: Grkovski, M.; Goel, R.; Krebs, S.; Staton, K. D.; Harding, J. J.; Mellinghoff, I. K.; Humm, J. L.; Dunphy, M. P. S.
Article Title: Pharmacokinetic assessment of (18)F-(2S,4R)-4-fluoroglutamine in patients with cancer
Abstract: 18F-(2S,4R)-4-fluoroglutamine (18F-FGln) is an investigational PET radiotracer for imaging tumor glutamine flux and metabolism. The aim of this study was to investigate its pharmacokinetic properties in patients with cancer. Methods: Fifty lesions from 41 patients (21 men and 20 women, aged 54 ± 14 y) were analyzed. Thirty-minute dynamic PET scans were performed concurrently with a rapid intravenous bolus injection of 232 ± 82 MBq of 18F-FGln, followed by 2 static PET scans at 97 ± 14 and 190 ± 12 min after injection. Five patients also underwent a second 18F-FGln study 4-13 wk after initiation of therapy with glutaminase, dual TORC1/2, or programmed death-1 inhibitors. Blood samples were collected to determine plasma and metabolite fractions and to scale the image-derived input function. Regions of interest were manually drawn to calculate SUVs. Pharmacokinetic modeling with both reversible and irreversible 1- and 2-tissue-compartment models was performed to calculate the kinetic rate constants K1, k2, k3, and k4 The analysis was repeated with truncated 30-min dynamic datasets. Results: Intratumor 18F-FGln uptake patterns demonstrated substantial heterogeneity in different lesion types. In most lesions, the reversible 2-tissue-compartment model was chosen as the most appropriate according to the Akaike information criterion. K1, a surrogate biomarker for 18F-FGln intracellular transport, was the kinetic rate constant that was most correlated both with SUV at 30 min (Spearman ρ = 0.71) and with SUV at 190 min (ρ = 0.51). Only K1 was reproducible from truncated 30-min datasets (intraclass correlation coefficient, 0.96). k3, a surrogate biomarker for glutaminolysis rate, was relatively low in about 50% of lesions. Treatment with glutaminase inhibitor CB-839 substantially reduced the glutaminolysis rates as measured by k3Conclusion:18F-FGln dynamic PET is a sensitive tool for studying glutamine transport and metabolism in human malignancies. Analysis of dynamic data facilitates better understanding of 18F-FGln pharmacokinetics and may be necessary for response assessment to targeted therapies that impact intracellular glutamine pool size and tumor glutaminolysis rates. © 2020 by the Society of Nuclear Medicine and Molecular Imaging.
Keywords: metabolism; glutamine; dynamic pet; kinetic modeling; glutaminolysis
Journal Title: Journal of Nuclear Medicine
Volume: 61
Issue: 3
ISSN: 0161-5505
Publisher: Society of Nuclear Medicine  
Date Published: 2020-03-01
Start Page: 357
End Page: 366
Language: English
DOI: 10.2967/jnumed.119.229740
PUBMED: 31601700
PROVIDER: scopus
PMCID: PMC7067522
DOI/URL:
Notes: Article -- Export Date: 1 April 2020 -- Source: Scopus
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. James Joseph Harding
    250 Harding
  2. Mark Phillip Dunphy
    81 Dunphy
  3. John Laurence Humm
    433 Humm
  4. Kevin David Staton
    14 Staton
  5. Simone Susanne Krebs
    55 Krebs
  6. Reema Goel
    4 Goel