Structural basis for uPAR binding to an antibody developed for targeted cancer therapy. Mechanistic insights into

Rex F Anane1, Anni Kumari2,3, Hari Venugopal4

  • 1Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Melbourne, Victoria, Australia.

Insights

A novel anti-uPAR antibody (FL1) restructures urokinase-type plasminogen activator receptor (uPAR), enhancing cancer therapy and PET imaging. This structural insight improves FL1-ADC efficacy and AE105 imaging for cancer treatment monitoring.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Oncology

Background:

  • The urokinase-type plasminogen activator receptor (uPAR) is a key target in cancer therapy.
  • uPAR-targeting peptide AE105 is used for PET imaging and fluorescence-guided surgery.
  • Antibody-drug conjugates (ADCs) targeting uPAR show promise in preclinical cancer models.

Purpose of the Study:

  • To elucidate the structural basis of anti-uPAR antibody (FL1) binding to uPAR.
  • To understand how FL1 binding affects uPAR conformation and ligand interactions.
  • To assess the implications of these findings for uPAR-targeted cancer therapy and imaging.

Main Methods:

  • High-resolution cryo-electron microscopy (cryo-EM) to determine complex structures of FL1 and uPAR.
  • Surface plasmon resonance (SPR) to measure kinetic binding data.
  • Analysis of uPAR conformational changes and ligand binding affinities.

Main Results:

  • Cryo-EM structures revealed FL1 binding restricts uPAR interdomain flexibility, specifically the N-terminal LU domain.
  • FL1 binding induces an open uPAR conformation, reducing binding affinity for its natural ligand by 300-fold.
  • FL1 binding decreased the affinity for the PET imaging probe AE105 by 25-fold.

Conclusions:

  • FL1 binding-induced conformational changes in uPAR are crucial for its therapeutic and diagnostic applications.
  • These findings support the use of FL1-ADCs for targeted cancer treatment.
  • The reduced AE105 binding affinity facilitates longitudinal monitoring of treatment efficacy using PET imaging.

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