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Sitravatinib potentiates immune checkpoint blockade in refractory cancer models
Wenting Du, … , Noah Sorrelle, Rolf A. Brekken
Wenting Du, … , Noah Sorrelle, Rolf A. Brekken
Published November 2, 2018
Citation Information: JCI Insight. 2018;3(21):e124184. https://doi.org/10.1172/jci.insight.124184.
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Research Article Oncology Therapeutics

Sitravatinib potentiates immune checkpoint blockade in refractory cancer models

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Abstract

Immune checkpoint blockade has achieved significant therapeutic success for a subset of cancer patients; however, a large portion of cancer patients do not respond. Unresponsive tumors are characterized as being immunologically “cold,” indicating that these tumors lack tumor antigen-specific primed cytotoxic T cells. Sitravatinib is a spectrum-selective tyrosine kinase inhibitor targeting TAM (TYRO3, AXL, MerTK) and split tyrosine-kinase domain–containing receptors (VEGFR and PDGFR families and KIT) plus RET and MET, targets that contribute to the immunosuppressive tumor microenvironment. We report that sitravatinib has potent antitumor activity by targeting the tumor microenvironment, resulting in innate and adaptive immune cell changes that augment immune checkpoint blockade. These results suggest that sitravatinib has the potential to combat resistance to immune checkpoint blockade and expand the number of cancer patients that are responsive to immune therapy.

Authors

Wenting Du, Huocong Huang, Noah Sorrelle, Rolf A. Brekken

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Figure 3

Sitravatinib potently inhibits MerTK activity and reduces angiogenesis.

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Sitravatinib potently inhibits MerTK activity and reduces angiogenesis.
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(A) Lysates of tumors from KLN205 tumor-bearing animals treated with control (Ctrl), sitravatinib, or glesatinib were probed for the indicated targets by Western blotting. (B) KLN205 tumor–bearing animals treated with control, sitravatinib (sitra), or glesatinib (gles) were evaluated by immunohistochemistry for the expression level of the indicated markers. Images were taken by Nanozoomer and analyzed using ImageJ. Quantification of percentage of the area analyzed positive for staining (% area fraction) is shown. Data are displayed as mean ± SD and represent images covering the whole tumor, with 4–5 animals per group analyzed. Original magnification, ×20. **P < 0.01, ****P < 0.001 vs. control by ANOVA.

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