Vascular density analysis in colorectal cancer patients treated with vatalanib (PTK787/ZK222584) in the randomised

A Giatromanolaki1, M I Koukourakis, E Sivridis

  • 1Departments of Pathology, and Radiotherapy/Oncology, Democritus University of Thrace, Alexandroupolis 68100, Greece.

Abstract

Insights

Vascular density (VD) predicts response to anti-angiogenic therapy in colorectal cancer. Activated vessel density may help identify patients who benefit from vascular endothelial growth factor receptor (VEGFR) inhibitors.

Area of Science:

  • Oncology
  • Translational Research
  • Cancer Biomarkers

Background:

  • Vascular endothelial growth factor (VEGF) receptor inhibitors like vatalanib show activity in colorectal cancer subgroups.
  • Previous trials indicated a link between high serum LDH and response to anti-angiogenic therapy.
  • This study investigates vascular density (VD) as a predictive biomarker.

Purpose of the Study:

  • To assess the predictive role of vascular density (VD) in colorectal cancer patients treated with anti-angiogenic agents.
  • To correlate vascular density with treatment response, progression-free survival (PFS), and overall survival (OS).

Main Methods:

  • Immunohistochemistry was used to analyze CD31 and phosphorylated VEGFR2 (pVEGFR2/KDR) expression in 141 colorectal cancer patients.
  • Vascular density was quantified using CD31 and pVEGFR2/KDR staining.
  • Correlation analysis was performed between VD and clinical outcomes.

Main Results:

  • High pVEGFR2/KDR+ VD was associated with poor response in the placebo group (15% vs 52%).
  • Vatalanib treatment increased response rates in patients with high VD (15% to 50%).
  • Significantly improved PFS was observed in patients with high pVEGFR2/KDR+ VD treated with vatalanib (P=0.002).
  • High CD31+ VD showed a similar trend for improved PFS (P=0.07).

Conclusions:

  • Activated vessel density, particularly pVEGFR2/KDR+ VD, can stratify patients for VEGFR-targeting anti-angiogenic therapies.
  • This biomarker assessment may reveal therapeutic potential in specific patient subgroups.
  • Stratification can optimize treatment selection and reduce healthcare costs.

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