In vivo imaging reveals a tumor-associated macrophage-mediated resistance pathway in anti-PD-1 therapy
- PMID: 28490665
- PMCID: PMC5734617
- DOI: 10.1126/scitranslmed.aal3604
In vivo imaging reveals a tumor-associated macrophage-mediated resistance pathway in anti-PD-1 therapy
Abstract
Monoclonal antibodies (mAbs) targeting the immune checkpoint anti-programmed cell death protein 1 (aPD-1) have demonstrated impressive benefits for the treatment of some cancers; however, these drugs are not always effective, and we still have a limited understanding of the mechanisms that contribute to their efficacy or lack thereof. We used in vivo imaging to uncover the fate and activity of aPD-1 mAbs in real time and at subcellular resolution in mice. We show that aPD-1 mAbs effectively bind PD-1+ tumor-infiltrating CD8+ T cells at early time points after administration. However, this engagement is transient, and aPD-1 mAbs are captured within minutes from the T cell surface by PD-1- tumor-associated macrophages. We further show that macrophage accrual of aPD-1 mAbs depends both on the drug's Fc domain glycan and on Fcγ receptors (FcγRs) expressed by host myeloid cells and extend these findings to the human setting. Finally, we demonstrate that in vivo blockade of FcγRs before aPD-1 mAb administration substantially prolongs aPD-1 mAb binding to tumor-infiltrating CD8+ T cells and enhances immunotherapy-induced tumor regression in mice. These investigations yield insight into aPD-1 target engagement in vivo and identify specific Fc/FcγR interactions that can be modulated to improve checkpoint blockade therapy.
Copyright © 2017, American Association for the Advancement of Science.
Conflict of interest statement
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Comment in
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Immunotherapy: Macrophages steal the show.Nat Rev Cancer. 2017 Jul 23;17(7):396-397. doi: 10.1038/nrc.2017.47. Nat Rev Cancer. 2017. PMID: 28642605 No abstract available.
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Cancer immunotherapy: Macrophages steal the show.Nat Rev Drug Discov. 2017 Jun 29;16(7):455. doi: 10.1038/nrd.2017.126. Nat Rev Drug Discov. 2017. PMID: 28660900 No abstract available.
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