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June 1, 2026Frontiers in Oncology0 citationsOpen Access

Beyond inhibition: harnessing the DRD2–VEGF-A feedback loop for precision anti-angiogenesis therapy in cancer

MSManas Ranjan SahuVAVenu AkkanapallyPDPartha Dasgupta

Key Points

  • This research aims to enhance the efficacy of anti-angiogenic therapies by utilizing the DRD2–VEGF-A feedback loop for patient-specific treatment.
  • Proposes a paradigm shift to leverage DRD2/VEGF-A feedback in the tumor microenvironment.
  • Utilizes FDA-approved DRD2 agonists for dynamic imaging to assess VEGF-dependency.
  • Transforms anti-angiogenic therapies into a precision theranostic platform.
  • Induction of endothelial DRD2 expression by VEGF-A was confirmed in tumor vasculature.
  • DRD2 activation effectively inhibits VEGFR2 phosphorylation and paracellular permeability.
  • The approach allows for real-time assessment of tumor VEGF-dependency and rational drug selection.

Abstract

Current anti-angiogenic therapies using vascular endothelial growth factor-A/vascular endothelial growth factor receptor-2 (VEGF-A/VEGFR2) inhibitors lack dynamic biomarkers that can facilitate patient selection and optimize dosing; this can lead to suboptimal and unsatisfactory outcomes and significant toxicities. To address this, we propose a paradigm shift leveraging the dopamine D2 receptor (DRD2)/VEGF-A paracrine feedback loop. In the tumor microenvironment, VEGF-A selectively induces endothelial DRD2 expression through specific transcriptional mechanisms – a molecular signature that is absent in quiescent normal vasculature. DRD2 activation serves as a potent, tumor-specific vascular brake on VEGFR2 phosphorylation and paracellular permeability. By utilizing FDA-approved DRD2 agonists as functional probes, clinicians can implement a dopaminergic challenge to identify windows of maximal VEGF-dependency via dynamic imaging. This approach transforms anti-angiogenic interventions from empirical into a precision theranostic platform, enabling real-time assessment of tumor VEGF-dependency and rational treatment selection that maximizes efficacy while minimizing toxicity.

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Cite This Study

Sahu et al. (2026) studied this question.

synapsesocial.com/papers/6a1d20bc02fbce91306370a6https://doi.org/10.3389/fonc.2026.1818655
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