Skip to main navigation Skip to search Skip to main content

Identification of signature genes associated with therapeutic resistance to anti-VEGF therapy

  • Pharavee Jaiprasart
  • , Samrita Dogra
  • , Deepika Neelakantan
  • , Bharat Devapatla
  • , Sukyung Woo
  • University of Oklahoma

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

VEGF-mediated tumor angiogenesis is a validated clinical target in many cancers, but modest efficacy and rapid development of resistance are major challenges of VEGF-targeted therapies. To establish a molecular signature of this resistance in ovarian cancer, we developed preclinical tumor models of adaptive resistance to chronic anti-VEGF treatment. We performed RNA-seq analysis and reverse-phase protein array to compare changes in gene and protein expressions in stroma and cancer cells from resistant and responsive tumors. We identified a unique set of stromal-specific genes that were strongly correlated with resistance phenotypes against two different anti-VEGF treatments, and selected the apelin/APJ signaling pathway for further in vitro validation. Using various functional assays, we showed that activation of apelin/APJ signaling reduces the efficacy of a VEGF inhibitor in endothelial cells. In patients with ovarian cancer treated with bevacizumab, increased expression of apelin was associated with significantly decreased disease-free survival. These findings link signature gene expressions with anti-VEGF response, and may thus provide novel targetable mechanisms of clinical resistance to anti-VEGF therapies.

Original languageEnglish
Pages (from-to)99-114
Number of pages16
JournalOncotarget
Volume11
Issue number1
DOIs
StatePublished - Jan 1 2020

Keywords

  • Angiogenesis
  • Anti-VEGF resistance
  • Apelin
  • Bevacizumab
  • Next-generation sequencing (NGS)

Fingerprint

Dive into the research topics of 'Identification of signature genes associated with therapeutic resistance to anti-VEGF therapy'. Together they form a unique fingerprint.

Cite this