Nonsynonymous mutations in VEGF receptor binding domain alter the efficacy of bevacizumab treatment

Ashif Ahamed1, Arijit Samanta2, Syed Sahajada Mahafujul Alam2

  • 1Department of Zoology, Netaji Subhas Open University, West Bengal, India.

PubMed

Insights

Genetic variations in the VEGFA gene can alter how well bevacizumab (a cancer drug) binds to VEGF, potentially affecting treatment effectiveness. Personalized genetic testing may improve cancer therapy outcomes.

Area of Science:

  • Oncology
  • Molecular Biology
  • Pharmacogenomics

Background:

  • Vascular endothelial growth factor (VEGF) drives tumor angiogenesis, a key process in cancer progression.
  • Bevacizumab, an FDA-approved monoclonal antibody, targets VEGF to inhibit angiogenesis.
  • VEGF receptor binding domain (RBD) polymorphisms may influence bevacizumab efficacy.

Purpose of the Study:

  • To investigate the impact of VEGFA gene nonsynonymous single nucleotide polymorphisms (nsSNPs) on VEGF RBD structure and bevacizumab binding.
  • To identify specific nsSNPs that alter the binding affinity of VEGF to bevacizumab.
  • To assess the potential of genetic characterization for predicting bevacizumab treatment efficacy.

Main Methods:

  • In silico modeling of mutated VEGF RBDs using trRosetta.
  • Analysis of secondary structure, post-translational modifications, and stability of wild-type versus mutated RBDs.
  • Molecular docking simulations using ClusPro and visualization with PyMol and PDBsum to assess binding affinity.

Main Results:

  • Identified 18 potential nsSNPs in VEGFA affecting VEGF RBD structure and bevacizumab binding.
  • 17 nsSNPs showed decreased binding affinity to bevacizumab, suggesting potential impact on treatment efficacy.
  • One nsSNP (rs1267535717, R229H) demonstrated increased binding affinity to bevacizumab.

Conclusions:

  • VEGFA genetic variations significantly influence bevacizumab binding affinity.
  • Individual genetic profiling of VEGFA may be crucial for optimizing bevacizumab-mediated cancer therapy.
  • Personalized approaches based on VEGFA genotype could enhance treatment efficacy and predict patient response.