Metabolic effects of anti-angiogenic therapy in tumors

Elisabetta Zulato1, Matteo Curtarello, Giorgia Nardo

  • 1Istituto Oncologico Veneto - IRCCS, via Gattamelata, 64 - 35128 Padova, Italy.

Biochimie
|January 17, 2012
PubMed

Insights

Predictive biomarkers for anti-angiogenic therapy are missing. This review explores how blocking tumor blood vessel growth impacts cancer cell metabolism, potentially affecting treatment response.

Area of Science:

  • Oncology
  • Cancer Biology
  • Metabolic Research

Background:

  • Anti-angiogenic therapy is a new cancer treatment, but lacks predictive biomarkers for patient response.
  • This therapy inhibits tumor blood vessel formation, leading to tumor starvation, hypoxia, and impaired nutrient supply.
  • The metabolic consequences of this therapy within tumors are not well understood.

Purpose of the Study:

  • To review recent findings on the metabolic effects of angiogenesis blockade in tumors.
  • To discuss how tumor cell metabolic characteristics, such as glucose dependency, may influence response to anti-vascular endothelial growth factor (VEGF) treatment.

Main Methods:

  • Literature review of recent studies on angiogenesis inhibition and tumor metabolism.
  • Analysis of metabolic perturbations induced by anti-angiogenic therapy.
  • Discussion of the role of tumor cell metabolic dependencies in treatment outcomes.

Main Results:

  • Anti-angiogenic therapy significantly alters tumor metabolism, primarily through increased hypoxia and reduced nutrient availability.
  • Tumor cells exhibit metabolic adaptations in response to impaired nutrient supply.
  • The extent of glucose dependency in tumor cells is a potential factor influencing their response to anti-VEGF therapies.

Conclusions:

  • Understanding the metabolic effects of anti-angiogenic therapy is crucial for developing predictive biomarkers.
  • Tumor cell metabolism, particularly glucose utilization, may be a key determinant of treatment efficacy.
  • Further research into tumor metabolic reprogramming is needed to optimize anti-angiogenic cancer treatment strategies.

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