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PD-L1 in tumor microenvironment mediates resistance to oncolytic immunotherapy
Dmitriy Zamarin, … , Taha Merghoub, Jedd D. Wolchok
Dmitriy Zamarin, … , Taha Merghoub, Jedd D. Wolchok
Published March 5, 2018
Citation Information: J Clin Invest. 2018;128(4):1413-1428. https://doi.org/10.1172/JCI98047.
View: Text | PDF | Corrigendum
Research Article Immunology Oncology

PD-L1 in tumor microenvironment mediates resistance to oncolytic immunotherapy

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Abstract

Intralesional therapy with oncolytic viruses (OVs) leads to the activation of local and systemic immune pathways, which may present targets for further combinatorial therapies. Here, we used human tumor histocultures as well as syngeneic tumor models treated with Newcastle disease virus (NDV) to identify a range of immune targets upregulated with OV treatment. Despite tumor infiltration of effector T lymphocytes in response to NDV, there was ongoing inhibition through programmed death ligand 1 (PD-L1), acting as a mechanism of early and late adaptive immune resistance to the type I IFN response and T cell infiltration, respectively. Systemic therapeutic targeting of programmed cell death receptor 1 (PD-1) or PD-L1 in combination with intratumoral NDV resulted in the rejection of both treated and distant tumors. These findings have implications for the timing of PD-1/PD-L1 blockade in conjunction with OV therapy and highlight the importance of understanding the adaptive mechanisms of immune resistance to specific OVs for the rational design of combinatorial approaches using these agents.

Authors

Dmitriy Zamarin, Jacob M. Ricca, Svetlana Sadekova, Anton Oseledchyk, Ying Yu, Wendy M. Blumenschein, Jerelyn Wong, Mathieu Gigoux, Taha Merghoub, Jedd D. Wolchok

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Figure 7

Potentiation of immune effects of NDV by PD-1 blockade.

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Potentiation of immune effects of NDV by PD-1 blockade.
Animals bearing ...
Animals bearing bilateral flank B16-F10 melanoma tumors were treated according to the schedule in Figure 6. (A and B) Gene expression analyses from treated (A) and distant (B) tumors, focusing on selected lineage-defining and T cell activation and costimulation markers. Costimulation (Costim) and activation markers were used to calculate an activation signature Z score. (C) Representative plots of percentages of CD4+ and CD8+ lymphocytes from distant tumors (gated on total live cells). (D) Absolute numbers of CD3+, CD8+, and CD4+FoxP3– (Tcon) lymphocytes in distant tumors. (E) Relative percentages and absolute numbers of Tregs in distant tumors. (F) Tcon/Treg and CD8+/Treg ratios in distant tumors. (G) Expression of proliferation and lytic markers by tumor-infiltrating CD8 and Tcon cells in distant tumors. (H) IFN-γ release by distant tumor–infiltrating CD8+ lymphocytes in response to stimulation with tumor antigen-loaded DCs. Data represent 1 of 2 experiments with 10 mice per group and indicate the mean ± SEM. Data were analyzed by 1-way ANOVA with multiple comparisons. *P < 0.05, **P < 0.01, ***P < 0.001, and ****P < 0.0001.

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ISSN: 0021-9738 (print), 1558-8238 (online)

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