Gene expression analysis in human breast cancer associated blood vessels

Dylan T Jones1, Tanguy Lechertier, Richard Mitter

  • 1Centre for Tumour Biology, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom.

Plos One
|October 12, 2012
PubMed

Insights

Researchers identified novel anti-angiogenic targets in breast cancer. Gene analysis revealed upregulated genes in tumor blood vessels, with siRNA depletion showing significant anti-angiogenic effects in assays.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Angiogenesis is crucial for solid tumor growth, but current anti-angiogenic therapies are not universally effective.
  • Tumor blood vessel molecular profiles vary significantly across cancer types, necessitating the discovery of novel, cancer-specific targets.

Purpose of the Study:

  • To identify novel anti-angiogenic targets specific to invasive ductal carcinoma (IDC) of the breast.
  • To validate the anti-angiogenic potential of identified genes using functional assays.

Main Methods:

  • Affymetrix microarray analysis of laser-captured, CD31-positive blood vessels from human IDC and normal breast tissue.
  • Selection of candidate genes based on cellular function, endothelial cell enrichment, and anti-VEGF sensitivity.
  • Functional validation using siRNA depletion in VEGF-stimulated ex vivo mouse aortic ring assays.

Main Results:

  • Identified 63 significantly upregulated genes (5-72 fold) in IDC-associated angiogenic blood vessels compared to normal breast tissue.
  • Confirmed upregulation of RRM2 (32-fold), ATF1 (23-fold), and HEX-B (8-fold) in IDC blood vessels.
  • Demonstrated significant anti-angiogenic effects upon siRNA-mediated depletion of RRM2, ATF1, and HEX-B in mouse aortic ring assays.

Conclusions:

  • The study provides proof-of-principle for identifying novel anti-angiogenic targets using microarray analysis of tumor vasculature.
  • RRM2, ATF1, and HEX-B are identified as potentially novel anti-angiogenic targets, particularly relevant for breast cancer treatment.
  • This approach can uncover a cohort of new therapeutic targets for various cancer types.