Fluorine-18-Labeled Nucleotide Analogs Targeting Ecto-5'-Nucleotidase (CD73) for Positron Emission Tomography Imaging

Clemens Dobelmann1, Constanze C Schmies2, Georg Wilhelm Rolshoven2

  • 1European Institute for Molecular Imaging (EIMI), University of Muenster, Münster, Germany.

Insights

Researchers developed a new PET tracer, [18F]1, targeting CD73 for cancer imaging. This tracer shows superior visualization of triple-negative breast cancer compared to standard methods, aiding in diagnosis and personalized medicine.

Area of Science:

  • Oncology
  • Radiochemistry
  • Molecular Imaging

Background:

  • Ecto-5'-nucleotidase (CD73) is overexpressed in aggressive cancers like TNBC and pancreatic cancer.
  • CD73 is a promising target for cancer immunotherapy and diagnostic imaging.
  • Small-molecule CD73 inhibitors are in clinical trials for cancer treatment.

Purpose of the Study:

  • To develop and evaluate fluorine-18 labeled CD73 inhibitors as PET tracers.
  • To assess the potential of these tracers for non-invasive imaging of CD73 expression in cancer.
  • To compare the efficacy of novel tracers with existing imaging agents like [18F]FDG.

Main Methods:

  • Selection of two high-affinity CD73 inhibitors (Ki ≈ 1 nM) for radiolabeling.
  • Synthesis and evaluation of fluorine-18 labeled tracers: [18F]PSB-19427 ([18F]1) and [18F]MRS-4648 ([18F]2).
  • Ex vivo imaging of human breast cancer tissues and in vivo studies in tumor models.

Main Results:

  • Both [18F]1 and [18F]2 demonstrated specific binding in ex vivo studies.
  • [18F]1 exhibited superior performance in vivo due to a long elimination half-life and accumulation in TNBC and pancreatic tumors.
  • [18F]1 showed improved visualization of TNBC compared to [18F]FDG, suggesting higher specificity and diagnostic accuracy.

Conclusions:

  • [18F]1 is a highly promising PET tracer for non-invasive imaging of CD73 expression in various solid tumors.
  • The tracer offers potential advantages over [18F]FDG for TNBC imaging.
  • [18F]1 is suitable for broad applications in cancer diagnosis and personalized medicine.