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.
Abstract:
Vascular endothelial growth factor (VEGF) mediated angiogenesis is crucial for tumor progression. Isoforms of VEGF bind to different VEGF receptors (VEGFRs) to initiate angiogenesis specific cellular signaling. Inhibitors that target both the receptors and ligands are in clinical use to impede angiogenesis. Bevacizumab, a monoclonal antibody (mAb) approved by the Food and Drug Administration (FDA), binds in the VEGF receptor binding domain (RBD) of all soluble isoforms of VEGF and inhibits the VEGF-VEGFR interaction. Bevacizumab is also used in combination with other chemotherapeutic agents for a better therapeutic outcome. Understanding the intricate polymorphic character of VEGFA gene and the influence of missense or nonsynonymous mutations in the form of nonsynonymous polymorphisms (nsSNPs) on RBD of VEGF may aid in increasing the efficacy of this drug. This study has identified 18 potential nsSNPs in VEGFA gene that affect the VEGF RBD structure and alter its binding pattern to bevacizumab. The mutated RBDs, modeled using trRosetta, in addition to the changed pattern of secondary structure, post translational modification and stability compared to the wild type, have shown contrasting binding affinity and molecular interaction pattern with bevacizumab. Molecular docking analysis by ClusPro and visualization using PyMol and PDBsum tools have detected 17 nsSNPs with decreased binding affinity to bevacizumab and therefore may impact the treatment efficacy. Whereas VEGF RBD expressed due to rs1267535717 (R229H) nsSNP of VEGFA has increased affinity to the mAb. This study suggests that genetic characterization of VEGFA before bevacizumab mediated cancer treatment is essential in predicting the appropriate efficacy of the drug, as the treatment efficiency may vary at individual level.
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.


