Effect of small-molecule-binding affinity on tumor uptake in vivo: a systematic study using a pretargeted bispecific

Kelly Davis Orcutt1, John J Rhoden, Benjamin Ruiz-Yi

  • 1Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.

Insights

Determining optimal small-molecule affinity for cancer targeting is crucial. This study found a 400 pmol/L affinity sufficient for maximal tumor uptake, with higher affinities showing no significant benefit.

Area of Science:

  • Oncology
  • Radiochemistry
  • Molecular Imaging

Background:

  • Small-molecule ligands targeting tumor-specific receptors are vital for cancer diagnosis and therapy.
  • High-affinity binding is essential for improving detection and therapeutic effectiveness.
  • The precise affinity needed for maximal target binding and retention in vivo remains undefined.

Purpose of the Study:

  • To systematically investigate the impact of small-molecule affinity on tumor uptake in vivo.
  • To establish design criteria for developing effective small-molecule agents for targeted cancer therapeutics.

Main Methods:

  • Utilized a pretargeted bispecific antibody system as a receptor proxy.
  • Tested small molecules with DOTA (1,4,7,10-tetraazacyclododecane-1,4,7,10-tetraacetic acid)-based chelators and varying binding affinities.
  • Focused on a system targeting carcinoembryonic antigen (CEA) to evaluate tumor uptake at 24 hours postinjection.

Main Results:

  • A small-molecule binding affinity of 400 pmol/L was sufficient to achieve maximal tumor targeting in the CEA-targeted system.
  • Further increasing affinity to 10 pmol/L did not yield significant improvements in tumor uptake at 24 hours.
  • A mathematical model correlating with experimental observations was developed to predict tumor targeting.

Conclusions:

  • Optimal small-molecule affinity for maximal tumor targeting is achievable with specific binding affinities, not necessarily the highest possible.
  • The developed mathematical model and derived design criteria can guide future development of targeted cancer therapeutics.
  • Understanding affinity thresholds can optimize the design of small-molecule agents for improved cancer diagnosis and therapy.