VEGF-targeted therapy stably modulates the glycolytic phenotype of tumor cells

Matteo Curtarello1, Elisabetta Zulato1, Giorgia Nardo1

  • 1Istituto Oncologico Veneto, IRCCS, Padova, Italy.

Cancer Research
|November 9, 2014
PubMed

Insights

Anti-VEGF therapy can lead to tumor resistance by selecting for highly glycolytic cells. This metabolic shift increases tumor aggressiveness and impairs treatment effectiveness, highlighting the need to understand tumor metabolism in antiangiogenic therapy.

Area of Science:

  • Oncology
  • Metabolic Research
  • Cancer Therapy

Background:

  • Anti-VEGF therapy impacts tumor metabolism, reducing oxygen, glucose, and ATP.
  • Tumor glycolytic phenotype influences response to anti-VEGF treatment.

Purpose of the Study:

  • Investigate anti-VEGF therapy effects on tumors with varying glycolytic phenotypes.
  • Understand optimal metabolic modulation strategies for anti-VEGF therapy.
  • Explore the role of tumor cell-autonomous metabolic traits in treatment resistance.

Main Methods:

  • Utilized multiple experimental tumor xenograft models with differing glycolytic phenotypes.
  • Administered prolonged anti-VEGF treatments.
  • Employed Positron Emission Tomography (PET) imaging.
  • Performed serial transplantation studies in mice.

Main Results:

  • Prolonged anti-VEGF treatment induced vascular regression and necrosis.
  • Highly glycolytic tumors developed resistance faster than poorly glycolytic tumors.
  • PET imaging revealed increased hypoxic and proliferative regions post-treatment.
  • A stable, cell-autonomous selection for highly glycolytic cells was observed, correlating with increased aggressiveness and resistance.

Conclusions:

  • The highly glycolytic phenotype is a cell-autonomous trait conferring resistance to VEGF blockade.
  • Antiangiogenic therapy can select for specific tumor metabolic traits, influencing evolutionary dynamics.
  • Understanding and modulating tumor metabolism is crucial for optimizing anti-VEGF therapy efficacy.

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