4.7 Article

Defining Effective Combinations of Immune Checkpoint Blockade and Oncolytic Virotherapy

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CLINICAL CANCER RESEARCH
卷 21, 期 24, 页码 5543-5551

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AMER ASSOC CANCER RESEARCH
DOI: 10.1158/1078-0432.CCR-14-2009

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  1. CCSG [R01CA140215, R01CA178766, P30CA047904]

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Purpose: Recent data from randomized clinical trials with oncolytic viral therapies and with cancer immunotherapies have finally recapitulated the promise these platforms demonstrated in preclinical models. Perhaps the greatest advance with oncolytic virotherapy has been the appreciation of the importance of activation of the immune response in therapeutic activity. Meanwhile, the understanding that blockade of immune checkpoints (with antibodies that block the binding of PD1 to PDL1 or CTLA4 to B7-2) is critical for an effective antitumor immune response has revitalized the field of immunotherapy. The combination of immune activation using an oncolytic virus and blockade of immune checkpoints is therefore a logical next step. Experimental Design: Here, we explore such combinations and demonstrate their potential to produce enhanced responses in mouse tumor models. Different combinations and regimens were explored in immunocompetent mouse models of renal and colorectal cancer. Bioluminescence imaging and immune assays were used to determine the mechanisms mediating synergistic or antagonistic combinations. Results: Interaction between immune checkpoint inhibitors and oncolytic virotherapy was found to be complex, with correct selection of viral strain, antibody, and timing of the combination being critical for synergistic effects. Indeed, some combinations produced antagonistic effects and loss of therapeutic activity. A period of oncolytic viral replication and directed targeting of the immune response against the tumor were required for the most beneficial effects, with CD8(+) and NK, but not CD4(+) cells mediating the effects. Conclusions: These considerations will be critical in the design of the inevitable clinical translation of these combination approaches. (C)2015 AACR.

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