Quantifying antivascular effects of monoclonal antibodies to vascular endothelial growth factor: insights from

James P B O'Connor1, Richard A D Carano, Andrew R Clamp

  • 1Imaging Science and Biomedical Engineering, School of Cancer and Imaging Sciences, University of Manchester, Manchester, United Kingdom. james.o'connor@manchester.ac.uk

Abstract

Insights

Anti-vascular endothelial growth factor (VEGF) therapies rapidly reduce tumor blood vessels and volume within 48 hours. These early structural and functional changes correlate with significant antitumor activity, guiding clinical trial design.

Area of Science:

  • Oncology
  • Medical Imaging
  • Pharmacology

Background:

  • Limited understanding of anti-VEGF therapy effects on tumor vasculature.
  • Need for knowledge to guide therapeutic development and optimize imaging in early clinical trials.

Purpose of the Study:

  • To investigate the onset, duration, and magnitude of direct therapeutic effects of anti-VEGF therapies.
  • To guide rational development of targeted therapeutics and optimize imaging technologies in early-phase clinical trials.

Main Methods:

  • Preclinical studies utilized ex vivo microcomputed tomography and in vivo ultrasound imaging in a colorectal xenograft model treated with anti-VEGF antibody G6-31.
  • Clinical evaluation involved quantitative magnetic resonance imaging in 10 patients with metastatic colorectal cancer treated with bevacizumab.

Main Results:

  • Preclinical imaging showed reduced perfused vessels and tumor blood volume within 24-48 hours of anti-VEGF administration.
  • Clinical imaging revealed decreased enhancing fraction and plasma volume within 48 hours of bevacizumab, persisting for one cycle.
  • Therapy led to edema resolution and tumor shrinkage in a subset of patients.

Conclusions:

  • VEGF inhibition rapidly induces structural and functional changes with significant antitumor activity within one therapy cycle.
  • Findings have implications for designing early-phase clinical trials incorporating physiologic imaging.
  • Animal data aids in interpreting clinical imaging, supporting validation of image biomarkers for tumor structure and function.