51. OP0328 A UNIQUE PD1+CD38+ CD8+ T CELL POPULATION CHARACTERIZES CHECKPOINT INHIBITOR-ASSOCIATED INFLAMMATORY ARTHRITIS
- Author
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Anne R. Bass, Amy Cunningham-Bussel, G. Keras, Michael B. Brenner, A. H. Jonsson, Runci Wang, Caroline Benson, Gregory Vitone, Laura T. Donlin, Karmela Kim Chan, Aidan Tirpack, and Deepak A. Rao
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education.field_of_study ,business.industry ,T cell ,Immunology ,Population ,General Biochemistry, Genetics and Molecular Biology ,Immune checkpoint ,medicine.anatomical_structure ,Immune system ,Rheumatology ,TIGIT ,medicine ,Immunology and Allergy ,Cytotoxic T cell ,Interleukin-7 receptor ,education ,business ,CD8 - Abstract
Background:Immune checkpoint inhibitors (CI) are monoclonal antibodies that block CTLA-4, PD-1 or PD-L1, resulting in cytotoxic T cell activation in the tumor microenvironment. They have revolutionized the management of metastatic cancer but unleash “immune related adverse events” in > 80% of treated patients, including inflammatory arthritis in ~4%1. CI-associated arthritis (CI-A) often presents as a symmetrical polyarthritis, phenotypically indistinguishable from rheumatoid arthritis (RA), but whether it shares cellular and molecular features of RA has not been determined.Objectives:To compare synovial fluid (SF) T cell populations from CI-A patients to those in patients with RA, phenotypically and functionally.Methods:We immunophenotyped SF mononuclear cells from patients with CI-A caused by anti-PD-(L)1 therapy (n=9), seropositive RA (n=5), and psoriatic arthritis (PsA) (n=5) using a 39-marker mass cytometry (CyTOF) panel. FlowSOM was used to cluster CD4 and CD8 T cells into 15 ‘metaclusters’ based on multidimensional phenotypes. We used Kruskal-Wallis or Mann-Whitney tests to identify significantly altered populations (pResults:In CI-A patients, T cells represented 50% of SF mononuclear cells (53% CD4, 40% CD8), followed by monocytes (24%) and NK cells (8%), comparable to RA and PsA. However, FlowSOM analysis revealed expansion of a distinct population of PD-1+CD38hiCD127-CD8 T cells (CD8 metacluster2) (Fig. 1). These cells comprised 30% of CD8+ SF T cells in CI-A, a 3.4-fold increase over RA/PsA, p=0.0002 (Fig. 2). Over 40% of these cells expressed Ki67 in CI-A, suggesting active proliferation. Flow cytometry on SF cells from an independent cohort of CI-A patients (n= 5) and RA/PsA comparators (n= 9) confirmed our findings. PD-1+CD38hiCD127-CD8 T cells were also expanded in the blood of CI-A patients, where they represented 4.6% of CD8 Tcells, a 2.8-fold increase over RA, p = 0.0057. In addition to expressing high levels of PD-1, CD38hiCD127-, these CD8 T cells express other immune checkpoint receptors including ICOS and TIGIT. After in vitro stimulation, CD38hiCD127-CD8 T cells produced granzyme B along with TNF and IFN-γ at comparable levels to other CD8 populations, suggesting that they are not functionally exhausted.Figure 1.Mass cytometry CD8+T cells (tSNE plots) with FlowSOM metaclusters.Figure 2.Synovial fluid PD-1+CD38hiCD127-CD8+T cellsFlowSOM analysis of SF CD4 T cells in CI-A patients revealed the expansion of a subpopulation of CD4 cells with a similar surface phenotype of PD-1+CD38hiCD127-(metacluster2, 10% of CD4s in CI-A, a 2.4-fold increase over RA/PsA, p=0.0047). In contrast, RA patients had a significantly expanded population of PD-1hiICOS+ CD4 T peripheral helper (Tph) cells (metacluster5, 30% of CD4s in RA, p=0.006), but these cells were not expanded in CI-A (Fig 3).Figure 3.Synovial fluid CD4+T peripheral helper cellsConclusion:CyTOF analysis of SF revealed a uniquely expanded PD-1+CD38hiCD127-CD8 T cell population in CI-A not present in RA or PsA, and a similar PD-1+CD38hiCD127-CD4 T cell population. These cells may contribute to the amplified immune response seen in CI-A patients. Further functional and transcriptional analysis of these cells will help to elucidate their function may reveal key mechanisms driving CI-associated immune related adverse events.References:[1]Kostine M. Ann Rheum Dis 2018;77(3):393-398Disclosure of Interests:Runci Wang: None declared, Karmela Kim Chan: None declared, Amy Cunningham-Bussel: None declared, Laura Donlin Consultant of: Consultant – Genentech/Roche, Gregory Vitone: None declared, Aidan Tirpack: None declared, Caroline Benson: None declared, Gregory Keras: None declared, A. Helena Jonsson: None declared, Michael Brenner: None declared, Anne Bass: None declared, Deepak Rao Grant/research support from: Has received research grant support from Celgene and Merck., Consultant of: Has received consulting fees or honoraria from Merck, Pfizer, GlaxoSmithKine, Bristol-Myers Squibb, Janssen, and Scipher Medicine
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- 2020