A Modular Dual-Labeling Scaffold That Retains Agonistic Properties for Somatostatin Receptor Targeting

Sukhen C Ghosh1, Melissa Rodriguez2, Kendra S Carmon1

  • 1The Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas; and.

Insights

A novel multimodality chelation (MMC) scaffold improved dual-labeled imaging agents for enhanced tumor detection. This approach optimizes drug design for better receptor pharmacology and imaging capabilities in cancer diagnostics.

Area of Science:

  • Medical Imaging
  • Radiochemistry
  • Molecular Imaging

Background:

  • Fluorescence-guided surgery enhances tumor visualization.
  • Dual-labeling probes with radionuclides enables cross-validation with nuclear imaging.
  • Developing effective dual-labeled probes requires minimizing steric effects and retaining biological activity.

Purpose of the Study:

  • To develop a dual-labeled analog of DOTATOC using a multimodality chelation (MMC) scaffold.
  • To evaluate the impact of the MMC scaffold on agonist properties and receptor binding.
  • To compare the performance of the MMC-based dual-labeled agent with a conventionally prepared analog.

Main Methods:

  • Synthesized MMC conjugate (MMC-TOC) and a conventional analog (DA-TOC).
  • Conjugated both analogs to IRDye 800 using copper-free click chemistry.
  • Labeled compounds with 64Cu and assessed in vitro (HEK-293, AR42J cells) and in vivo (AR42J xenografts).

Main Results:

  • Cu-MMC(IR800)-TOC showed higher potency in cAMP inhibition and receptor internalization than Cu-DA(IR800)-TOC.
  • 64Cu-MMC(IR800)-TOC uptake in tumors was higher and specifically blocked by octreotide.
  • Ex vivo analysis confirmed significant tumor fluorescence and improved tumor-to-muscle ratio for the MMC-based agent.

Conclusions:

  • Drug design significantly impacts receptor pharmacology of dual-labeled imaging agents.
  • The MMC scaffold is effective in developing dual-labeled imaging agents with improved performance.
  • This approach holds promise for enhanced tumor detection in fluorescence-guided and nuclear imaging.

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