Hypoxia-inducible factor-1 target genes as indicators of tumor vessel response to vascular endothelial growth factor

Duyen T Dang1, Sang Y Chun, Kyunghee Burkitt

  • 1Department of Internal Medicine, The University of Michigan Medical Center, Ann Arbor, MI 48109, USA.

Cancer Research
|March 15, 2008
PubMed

Insights

Predicting antiangiogenic therapy response in cancer is crucial. Preexisting pericyte coverage and HIF-1 target gene induction, like DPP4, may predict tumor vessel response to antiangiogenic therapy.

Area of Science:

  • Oncology
  • Vascular Biology
  • Molecular Biology

Background:

  • Antiangiogenic therapy enhances survival in advanced cancers.
  • Reliable predictors for tumor vessel response to antiangiogenic therapy are lacking.
  • Vascular Endothelial Growth Factor (VEGF) plays a key role in tumor angiogenesis.

Purpose of the Study:

  • To investigate predictors of tumor vessel response to antiangiogenic therapy.
  • To model the effects of VEGF disruption on tumor microvasculature.
  • To identify novel biomarkers for therapy response.

Main Methods:

  • Disruption of the VEGF gene in HCT116, LS174T, and MKN45 cancer cell lines.
  • Xenograft models were used to assess tumor microvessel perfusion and pericyte coverage (alpha-smooth muscle actin staining).
  • Hypoxia-inducible factor-1 (HIF-1) target gene induction and DPP4 serum protein levels were measured.

Main Results:

  • HCT116 xenografts with low pericyte coverage showed decreased perfusion and increased HIF-1 target gene induction upon VEGF disruption.
  • LS174T and MKN45 xenografts with high pericyte coverage maintained perfusion without significant hypoxia or HIF-1 induction after VEGF disruption.
  • DPP4 was identified as a novel marker for HIF-1 induction.

Conclusions:

  • Tumor vessel response to antiangiogenic therapy correlates with preexisting pericyte coverage and differential HIF-1 target gene induction.
  • DPP4 is a potential serum biomarker for predicting and monitoring response to antiangiogenic therapy.
  • These findings support novel clinical trial designs for antiangiogenic therapy prediction and monitoring.

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