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Article . 2018 . Peer-reviewed
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Article . 2018
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A Dual Immunotherapy Nanoparticle Improves T‐Cell Activation and Cancer Immunotherapy

Authors: Yu Mi; Christof C. Smith; Feifei Yang; Yanfei Qi; Kyle C. Roche; Jonathan S. Serody; Benjamin G. Vincent; +1 Authors

A Dual Immunotherapy Nanoparticle Improves T‐Cell Activation and Cancer Immunotherapy

Abstract

AbstractCombination immunotherapy has recently emerged as a powerful cancer treatment strategy. A promising treatment approach utilizes coadministration of antagonistic antibodies to block checkpoint inhibitor receptors, such as antiprogrammed cell death‐1 (aPD1), alongside agonistic antibodies to activate costimulatory receptors, such as antitumor necrosis factor receptor superfamily member 4 (aOX40). Optimal T‐cell activation is achieved when both immunomodulatory agents simultaneously engage T‐cells and promote synergistic proactivation signaling. However, standard administration of these therapeutics as free antibodies results in suboptimal T‐cell binding events, with only a subset of the T‐cells binding to both aPD1 and aOX40. Here, it is shown that precise spatiotemporal codelivery of aPD1 and aOX40 using nanoparticles (NP) (dual immunotherapy nanoparticles, DINP) results in improved T‐cell activation, enhanced therapeutic efficacy, and increased immunological memory. It is demonstrated that DINP elicits higher rates of T‐cell activation in vitro than free antibodies. Importantly, it is demonstrated in two tumor models that combination immunotherapy administered in the form of DINP is more effective than the same regimen administered as free antibodies. This work demonstrates a novel strategy to improve combination immunotherapy using nanotechnology.

Keywords

Mice, Neoplasms, T-Lymphocytes, Animals, Nanoparticles, Immunotherapy, Antibodies

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    selected citations
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    158
    popularity
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    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
158
Top 1%
Top 10%
Top 1%
hybrid