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VEGFR2 activity on myeloid cells mediates immune suppression in the tumor microenvironment
Yuqing Zhang, … , Syed M. Kazmi, Rolf A. Brekken
Yuqing Zhang, … , Syed M. Kazmi, Rolf A. Brekken
Published October 21, 2021
Citation Information: JCI Insight. 2021;6(23):e150735. https://doi.org/10.1172/jci.insight.150735.
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Research Article Immunology Oncology

VEGFR2 activity on myeloid cells mediates immune suppression in the tumor microenvironment

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Abstract

Angiogenesis, a hallmark of cancer, is induced by vascular endothelial growth factor–A (hereafter VEGF). As a result, anti-VEGF therapy is commonly used for cancer treatment. Recent studies have found that VEGF expression is also associated with immune suppression in patients with cancer. This connection has been investigated in preclinical and clinical studies by evaluating the therapeutic effect of combining antiangiogenic reagents with immune therapy. However, the mechanisms of how anti-VEGF strategies enhance immune therapy are not fully understood. We and others have shown selective elevation of VEGFR2 expression on tumor-associated myeloid cells in tumor-bearing animals. Here, we investigated the function of VEGFR2+ myeloid cells in regulating tumor immunity and found VEGF induced an immunosuppressive phenotype in VEGFR2+ myeloid cells, including directly upregulating the expression of programmed cell death 1 ligand 1. Moreover, we found that VEGF blockade inhibited the immunosuppressive phenotype of VEGFR2+ myeloid cells, increased T cell activation, and enhanced the efficacy of immune checkpoint blockade. This study highlights the function of VEGFR2 on myeloid cells and provides mechanistic insight on how VEGF inhibition potentiates immune checkpoint blockade.

Authors

Yuqing Zhang, Huocong Huang, Morgan Coleman, Arturas Ziemys, Purva Gopal, Syed M. Kazmi, Rolf A. Brekken

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Figure 1

Selective inhibition of VEGF activation of VEGFR2 by mcr84 delays tumor progression and reduces the vascular immune barrier in syngeneic models.

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Selective inhibition of VEGF activation of VEGFR2 by mcr84 delays tumor ...
(A–C) In vivo assessment of tumor growth in response to mcr84 treatment in orthotopically or subcutaneously implanted tumors. (A) A total of 1 × 105 4T1 cells (n = 9–10/group) were injected orthotopically into 8-week-old BALB/c mice. (B) A total of 1 × 105 E0771 cells (n = 9–10/group) were injected orthotopically into 8-week-old C57BL/6 mice. (C) A total of 1 × 105 MC38 cells were injected subcutaneously into 8-week-old C57BL/6 mice (n = 8–9/group). Mice with established tumors (50–150 mm3) were treated with control antibody (C44, 250 μg/dose, twice per week) or mcr84 (250 μg/dose, twice per week). Mice were monitored daily and tumor volume was measured twice per week. All mice were sacrificed when tumor volume in the control group reached 2000 mm3. Data are displayed as mean ± SEM. **, P < 0.01 vs. control, by Welch’s t test. (D) Lung metastasis burden was evaluated in the 4T1 model. Formalin-fixed, paraffin-embedded (FFPE) lung tissues were sectioned serially at a 150 μm interval. H&E staining was performed to evaluate metastasis. Metastasis index was calculated by metastatic area/total lung area. Representative images of H&E staining are shown. Scale bar: 100 μm (left), 250 μm (right). (E) IHC of FFPE 4T1 tumors for CD31, CD31 and neural/glial antigen 2 (NG2), CD31 and vascular cell adhesion protein 1 (VCAM-1), CD31 and intercellular adhesion molecule 1 (ICAM-1), and CD31 and Fas ligand (FasL). Slides were scanned and images were analyzed using NIS Elements (Nikon) and Fiji software. Representative images are shown with CD31 in red and other markers in brown. Scale bar, 50 μm. Quantification is shown. Data are displayed as mean ± SEM (n = 5/group). *, P < 0.05; **, P < 0.005 vs. control, by Welch’s t test.

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