Prediction of proapoptotic anticancer therapeutic response in vivo based on cell death visualization and TRAIL death

LanLan Zhou1, Wenge Wang, David T Dicker

  • 1Department of Bioengineering, University of Pennsylvania School of Engineering and Applied Science, Philadelphia, USA.

Insights

Molecular imaging can predict cancer therapy response by visualizing Tumor Necrosis Factor (TNF)-Related Apoptosis-Inducing Ligand (TRAIL) receptor expression. This helps identify patients likely to benefit from TRAIL-based cancer treatments.

Area of Science:

  • Oncology
  • Molecular Imaging
  • Cancer Therapeutics

Background:

  • Tumor growth is linked to insufficient apoptosis, prompting development of targeted therapies like Tumor Necrosis Factor (TNF)-Related Apoptosis-Inducing Ligand (TRAIL) agonists.
  • Targeted cancer therapeutics face challenges due to tumor heterogeneity, necessitating patient selection strategies.
  • Molecular imaging offers a potential solution for assessing target expression and predicting therapeutic response.

Purpose of the Study:

  • To develop a molecular imaging strategy for early prediction of proapoptotic anti-cancer therapy response.
  • To assess if cell surface expression of death receptors 4 (DR4) and 5 (DR5) predicts response to TRAIL-based therapies.
  • To correlate imaging of TRAIL receptor-ligand interactions with actual apoptotic response.

Main Methods:

  • TRAIL and the DR5 agonistic antibody HGS-ETR2 (Lexatumumab) were labeled with near-infrared dye for imaging TRAIL receptors.
  • In vitro and in vivo imaging of TRAIL receptors on human tumor cells and xenografts using near-infrared fluorescence imagers.
  • Apoptosis assessment via Western blots (PARP-cleavage), flow cytometry (sub-G1 content), Annexin V imaging, and activated caspase-3 staining.

Main Results:

  • In vitro and in vivo imaging of death ligand-receptor interactions aligned with apoptosis readouts.
  • TRAIL-sensitive tumors expressing TRAIL receptors showed cell death after treatment.
  • TRAIL-resistant tumors lacking TRAIL receptor expression did not respond to therapy.

Conclusions:

  • Molecular imaging of TRAIL receptor expression correlates with response to TRAIL therapy.
  • Near-infrared imaging of TRAIL receptor-ligand interactions can predict apoptotic response in vivo.
  • This imaging strategy may aid in selecting patients for targeted TRAIL-based cancer therapies.