FcγRIIB Is an Immune Checkpoint Limiting the Activity of Treg-Targeting Antibodies in the Tumor Microenvironment.
David A KnorrLucas BlanchardRom S LeidnerShawn M JensenRyan MengAndrew T JonesCarmen Ballesteros-MerinoRichard B BellMaria BaezAlessandra MarinoDavid SprottCarlo B BifulcoBrian D PieningRony DahanJuan C OsorioBernard A FoxJeffrey V RavetchPublished in: Cancer immunology research (2024)
Preclinical murine data indicate that fragment crystallizable (Fc)-dependent depletion of intratumoral regulatory T cells (Treg) is a major mechanism of action of anti-CTLA-4. However, the two main antibodies administered to patients (ipilimumab and tremelimumab) do not recapitulate these effects. Here, we investigate the underlying mechanisms responsible for the limited Treg depletion observed with these therapies. Using an immunocompetent murine model humanized for CTLA-4 and Fcγ receptors (FcγR), we show that ipilimumab and tremelimumab exhibit limited Treg depletion in tumors. Immune profiling of the tumor microenvironment (TME) in both humanized mice and humans revealed high expression of the inhibitory Fc receptor, FcγRIIB, which limits antibody-dependent cellular cytotoxicity/phagocytosis. Blocking FcγRIIB in humanized mice rescued the Treg-depleting capacity and antitumor activity of ipilimumab. Furthermore, Fc engineering of antibodies targeting Treg-associated targets (CTLA-4 or CCR8) to minimize FcγRIIB binding significantly enhanced Treg depletion, resulting in increased antitumor activity across various tumor models. Our results define the inhibitory FcγRIIB as an immune checkpoint limiting antibody-mediated Treg depletion in the TME, and demonstrate Fc engineering as an effective strategy to overcome this limitation and improve the efficacy of Treg-targeting antibodies.
Keyphrases
- regulatory t cells
- end stage renal disease
- dendritic cells
- chronic kidney disease
- stem cells
- type diabetes
- ejection fraction
- cancer therapy
- monoclonal antibody
- skeletal muscle
- newly diagnosed
- high fat diet induced
- single cell
- machine learning
- immune response
- electronic health record
- long non coding rna
- peritoneal dialysis
- transcription factor
- mesenchymal stem cells
- prognostic factors
- deep learning