| Literature DB >> 29480817 |
Yared Hailemichael1, Amber Woods2, Tihui Fu3, Qiuming He3, Michael C Nielsen1, Farah Hasan1, Jason Roszik1, Zhilan Xiao1, Christina Vianden1, Hiep Khong1, Manisha Singh1, Meenu Sharma1, Faisal Faak1, Derek Moore1, Zhimin Dai1, Scott M Anthony4, Kimberly S Schluns4,5, Padmanee Sharma3, Victor H Engelhard2, Willem W Overwijk1,5.
Abstract
Anticancer vaccination is a promising approach to increase the efficacy of cytotoxic T lymphocyte-associated protein 4 (CTLA-4) and programmed death ligand 1 (PD-L1) checkpoint blockade therapies. However, the landmark FDA registration trial for anti-CTLA-4 therapy (ipilimumab) revealed a complete lack of benefit of adding vaccination with gp100 peptide formulated in incomplete Freund's adjuvant (IFA). Here, using a mouse model of melanoma, we found that gp100 vaccination induced gp100-specific effector T cells (Teffs), which dominantly forced trafficking of anti-CTLA-4-induced, non-gp100-specific Teffs away from the tumor, reducing tumor control. The inflamed vaccination site subsequently also sequestered and destroyed anti-CTLA-4-induced Teffs with specificities for tumor antigens other than gp100, reducing the antitumor efficacy of anti-CTLA-4 therapy. Mechanistically, Teffs at the vaccination site recruited inflammatory monocytes, which in turn attracted additional Teffs in a vicious cycle mediated by IFN-γ, CXCR3, ICAM-1, and CCL2, dependent on IFA formulation. In contrast, nonpersistent vaccine formulations based on dendritic cells, viral vectors, or water-soluble peptides potently synergized with checkpoint blockade of both CTLA-4 and PD-L1 and induced complete tumor regression, including in settings of primary resistance to dual checkpoint blockade. We conclude that cancer vaccine formulation can dominantly determine synergy, or lack thereof, with CTLA-4 and PD-L1 checkpoint blockade therapy for cancer.Entities:
Keywords: Cancer immunotherapy; Immunology
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Year: 2018 PMID: 29480817 PMCID: PMC5873868 DOI: 10.1172/JCI93303
Source DB: PubMed Journal: J Clin Invest ISSN: 0021-9738 Impact factor: 14.808