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441 Checkpoint inhibitor-associated inflammatory arthritis is comprised of multiple clinical endotypes characterized by distinct transcriptional programs
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  1. Gary Reynolds,
  2. Mazen Nasrallah,
  3. Neal Smith,
  4. Molly Thomas,
  5. Leyre Zubiri,
  6. Alice Tirard,
  7. John McGuire,
  8. Kasidet Manakongtreecheep,
  9. Jessica Tantivit,
  10. Steven Blum,
  11. Daniel Zlotoff,
  12. Elaina PuiYee Chan,
  13. Dejan Juric,
  14. Ryan Sullivan,
  15. Genevieve Boland,
  16. Andrew Luster,
  17. Sara Schoenfeld,
  18. Minna Kohler,
  19. Kerry Reynolds and
  20. Chloe Villani
  1. Massachusetts General Hospital, Boston, MA, United States

Abstract

Background Immune checkpoint inhibitor (ICI) therapy has revolutionized cancer treatment but is associated with a range of immune toxicities.1 ICI-associated inflammatory arthritis (ICI-IA) is a complication that affects around 5% of patients on ICI therapy. Clinical manifestations mimic those of rheumatoid arthritis or seronegative spondyloarthropathies and often require treatment with glucocorticoids or other immunosuppressive medications. In severe cases, irArthritis results in interruption or discontinuation of ICI therapy and is a significant cause of morbidity. Understanding why ICI-IA develops and rationalizing our approach to its treatment could improve outcomes for this expanding patient cohort.

Methods Comprehensive clinical and demographic data were collected for patients with malignancy, treated with ICI, and subsequently diagnosed with inflammatory arthritis (n=41). Peripheral blood and synovial fluid were collected and profiled when possible. Presentations of ICI-IA included monoarthritis (n=5 total, n=4 profiled), oligoarthritis (n=10 total, n=5 profiled) and polyarthritis (n=26 total, n=7 profiled). Six additional patients with inflammatory arthritis after ICI that were not checkpoint-related were profiled. Samples were analyzed by paired single cell RNA sequencing, surface proteome of 204 protein targets, and T cell receptor (TCR) sequencing.

Results We captured data from 741,883 cells in total following quality-control (559,251 synovial fluid, 264,997 blood) and identified diverse cell populations in synovial fluid, including rare mast cells, AXL+SIGLEC6+ dendritic cells and cycling lymphocytes. Patients presenting with monoarthritis were ANA negative (0/6) with higher abundance of DC1 and DC2 (Dirichlet regression, p=1.1x10-3 and p=8.1x10-5), with DC1 having the highest per cell expression of TNF across all samples. Patients presenting with polyarthritis were significantly more likely to be antinuclear antibody positive (15/26, Fisher’s test, p=0.04) with expansions of a macrophage population enriched for interferon response genes (IFI44L, ISG15) and peripheral helper CD4+T cells (CXCL13, PDCD1) previously described as expanded in seropositive rheumatoid arthritis.2 TCR repertoire analysis demonstrated clonal expansion of specific CD8 T cell subsets, including shared clones across patients. Gene set enrichment analysis highlighted upregulation of distinct inflammatory pathways with existing biologic drugs in mono- and oligoarthritis presentations versus polyarthritis.

Conclusions These data demonstrate that ICI-IA is heterogeneous both in terms of clinical presentation and at the cellular and transcriptional level. It is likely that patients will benefit from better targeting of treatments that can simultaneously control arthritis and preserve anti-tumor efficacy and our data support new strategies for developing personalized medicine approaches for this patient population.

References

  1. Reynolds KL, et al. Immune-related adverse events associated with immune checkpoint inhibitors: a call to action for collecting and sharing clinical trial and real-world data. J Immunother Cancer 2021;9.

  2. Rao DA, et al. Pathologically expanded peripheral T helper cell subset drives B cells in rheumatoid arthritis. Nature 2017;542:110–114.

Ethics Approval Patients involved in this study were consented to Dana-Farber Cancer Institute/Harvard Cancer Center collection protocols #11-181 and #13-416.

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