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Selective FcγR Co-engagement on APCs Modulates the Activity of Therapeutic Antibodies Targeting T Cell Antigens.

Cancer cell | 2018

The co-engagement of fragment crystallizable (Fc) gamma receptors (FcγRs) with the Fc region of recombinant immunoglobulin monoclonal antibodies (mAbs) and its contribution to therapeutic activity has been extensively studied. For example, Fc-FcγR interactions have been shown to be important for mAb-directed effector cell activities, as well as mAb-dependent forward signaling into target cells via receptor clustering. Here we identify a function of mAbs targeting T cell-expressed antigens that involves FcγR co-engagement on antigen-presenting cells (APCs). In the case of mAbs targeting CTLA-4 and TIGIT, the interaction with FcγR on APCs enhanced antigen-specific T cell responses and tumoricidal activity. This mechanism extended to an anti-CD45RB mAb, which led to FcγR-dependent regulatory T cell expansion in mice.

Pubmed ID: 29894690 RIS Download

Additional research tools detected in this publication

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Antibodies used in this publication

Associated grants

  • Agency: NHLBI NIH HHS, United States
    Id: R01 HL124209

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

This is a list of tools and resources that we have found mentioned in this publication.


Phospho-Zap-70 (Tyr493) Antibody (antibody)

RRID:AB_2217457

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CD32 Antibody, Clone IV.3 (antibody)

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CD335 (NKp46) Antibody, PE (antibody)

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This monoclonal targets CD335 (NKp46)

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APC anti-human IL-2 (antibody)

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PE/Cyanine7 anti-human CD25 (antibody)

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PE/Cyanine7 anti-mouse CD25 (antibody)

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InVivoPlus anti-mouse CD25 (IL-2Rα) (antibody)

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InVivoMab anti-mouse CD45RB (antibody)

RRID:AB_1107653

This monoclonal targets CD45RB

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RRID:AB_10949609

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RRID:SCR_003070

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RRID:CVCL_7256

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GraphPad Prism (software resource)

RRID:SCR_002798

Statistical analysis software that combines scientific graphing, comprehensive curve fitting (nonlinear regression), understandable statistics, and data organization. Designed for biological research applications in pharmacology, physiology, and other biological fields for data analysis, hypothesis testing, and modeling.

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