In vivo phage display selection of an ovarian cancer targeting peptide for SPECT/CT imaging

Mette Soendergaard1, Jessica R Newton-Northup1, Susan L Deutscher2

  • 1Department of Biochemistry, University of Missouri Rm117 Schweitzer Hall, Columbia, MO 65211.

Insights

Researchers developed a novel ovarian cancer imaging agent using a two-tier phage display. This new peptide, J18, shows excellent tumor targeting and SPECT/CT imaging capabilities for early ovarian cancer detection.

Area of Science:

  • Biomedical imaging
  • Molecular imaging
  • Oncology

Background:

  • Ovarian cancer (OC) detection remains a challenge, often leading to fatal outcomes.
  • Current nuclear imaging agents frequently target tumor vasculature, not the cancer cells directly.
  • Phage display technology offers a method for identifying cancer-targeting peptides.

Purpose of the Study:

  • To develop a novel nuclear imaging agent for ovarian cancer.
  • To identify a peptide with high affinity for ovarian cancer cells and favorable imaging properties.
  • To evaluate the diagnostic potential of the developed agent using SPECT/CT.

Main Methods:

  • A two-tier phage display selection process was employed against human OC SKOV-3 xenografts and cells.
  • The selected peptide (J18) was synthesized with a DOTA chelator and radiolabeled with Indium-111 ((111)In).
  • Biodistribution and SPECT/CT imaging were performed in mice bearing SKOV-3 xenografts.

Main Results:

  • A specific ovarian cancer-targeting peptide, J18 (RSLWSDFYASASRGP), was identified.
  • Radiolabeled (111)In-DOTA-GSG-J18 demonstrated good tumor uptake and minimal background signal in SPECT/CT imaging.
  • Competitive binding assays showed a half maximal inhibitory concentration (IC50) of 10.5 ± 1.1 μM for the peptide.

Conclusions:

  • The two-tier phage display method successfully identified an ovarian cancer-avid peptide (J18).
  • The radiolabeled peptide exhibits promising characteristics for SPECT/CT imaging of ovarian cancer.
  • This approach holds potential for improving early detection and diagnosis of ovarian cancer.

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