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1166 Biomarkers of checkpoint myocarditis onset and the impact of corticosteroids at single-cell resolution
  1. Steven M Blum1,2,
  2. Daniel A Zlotoff1,2,
  3. Neal P Smith1,2,
  4. Isabela J Kernin1,2,
  5. Swetha Ramesh1,2,3,
  6. Leyre Zubiri1,
  7. Joshua Caplin1,
  8. Nandini Samanta1,2,
  9. Sidney Martin1,2,
  10. Mike Wang1,
  11. Alice Tirard1,2,
  12. Yuhui Song1,
  13. Katherine H Xu4,
  14. Pritha Sen1,2,5,
  15. Kamil Slowikowski1,2,
  16. Jessica Tantivit1,2,
  17. Kasidet Manakongtreecheep1,2,
  18. Benjamin Y Arnold1,2,
  19. John McGuire1,2,
  20. Mazen Nasrallah1,2,
  21. Chirstopher J Pinto1,
  22. Daniel McLoughlin1,
  23. Monica Jackson1,
  24. Elaina Chan1,
  25. Aleigha Lawless1,
  26. William A Michaud1,
  27. Tatyana Sharova1,
  28. Linda T Nieman1,
  29. Justin F Gainor1,
  30. Dejan Juric1,2,
  31. Mari Mino-Kenudson1,
  32. Ryan J Sullivan6,
  33. Genevieve M Boland1,2,
  34. James R Stone1,
  35. Molly F Thomas1,2,7,
  36. Tomas G Neilan1,
  37. Kerry L Reynolds1 and
  38. Alexandra-Chloe Villani1,2
  1. 1Massachusetts General Hospital, Boston, MA, USA
  2. 2The Broad Institute, Cambridge, MA, USA
  3. 3University of California, Los Angeles, Los Angeles, CA, USA
  4. 4Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
  5. 5Brigham and Women’s Hospital, Boston, MA, USA
  6. 6Harvard Medical School, Massachusetts General Hospital, Needham, MA, USA
  7. 7Oregon Health and Science University, Portland, OR, USA
  • Journal for ImmunoTherapy of Cancer (JITC) preprint. The copyright holder for this preprint are the authors/funders, who have granted JITC permission to display the preprint. All rights reserved. No reuse allowed without permission.

Abstract

Background Immune checkpoint inhibitor(ICI)-related Myocarditis (irMyocarditis) is a potentially lethal complication of ICI therapy.1 Human translational studies have provided insight into disease pathogenesis.2–5 However, the urgent initiation of high-dose corticosteroids to treat irMyocarditis6 7often precedes biospecimen collection and has an unknown impact on analytes.

Methods Peripheral blood mononuclear cells (PBMCs) from 25 irMyocarditis patients were collected across multiple timepoints, including at the time of irMyocarditis diagnosis (‘pre-steroid’; n=17) and shortly after the initiation of corticosteroids (‘post-steroid’; n=19; range 1–34, median 4 days). Control PBMCs were collected from ICI-treated cancer patients without irAEs (n=28). Single-cell RNA-sequencing (scRNA-seq) with simultaneous measurement of 197 surface proteins was performed.8–11 Surface protein data was used to validate scRNA-seq abundance analyses. Abundance, differential gene expression, and gene set enrichment analysis results were considered significant at a false-discovery rate<0.1. Heart tissue collected during endomyocardial biopsies or autopsies in patients with suspected irMyocarditis (irMyocarditis n=15, control n=2) underwent scRNA-seq with T-cell receptor (TCR) sequencing.

Results Clustering 366,066 blood cells using scRNA-seq data identified expected lineages and 37 cell subsets. Compared to controls, pre-steroid irMyocarditis PBMC samples demonstrated decreased abundance of plasmacytoid dendritic cells (pDCs), classical dendritic cells (cDCs), B/plasma cells, and CD4T cell lineages; other mononuclear phagocyte (MNP) lineage cells were more frequent in irMyocarditis cases. Among our cell subsets, 13 lymphocyte subsets, cDC1, and cDC2 were decreased in irMyocardits; two MNP subsets and cDC3 were more abundant in irMyocarditis. Populations defined by surface protein data supported our scRNA-seq findings. The expression of gene sets associated with interferon responses and cell adhesion were increased in irMyocarditis samples compared to controls.

Pre-steroid versus post-steroid analysis identified only three differentially abundant cell subsets but marked transcriptional changes (4,613 significant lineage-level genes). The expression of gene sets associated with irMyocarditis onset were decreased after steroid administration.

9,134 intracardiac T/NK cells were recovered. The evaluation of T-cell clones from a donor contributing both pre-steroid biopsy and post-steroid autopsy specimens demonstrated that the 13 most expanded TCR clones were found at both timepoints. However, post-steroid clones had different transcriptional profiles, most notably lower expression of cell cycle genes (e.g., STMN1).

Conclusions Decreased circulating cDCs and pDCs may represent novel biomarkers of irMyocarditis onset. Transcriptional profiles of tissue and blood immune cells underwent significant changes soon after corticosteroid initiation for the treatment of irMyocarditis. The collection and analysis of pre-steroid biospecimens are crucial for distinguishing features of disease pathobiology from steroid effects.

Acknowledgements We are deeply grateful to all donors and their families. We also thank the Mass General Cancer Center, Ellison 16 staff, the cardiac catheterization laboratory, and the Severe Immunotherapy Complications Service for their collaboration and support. S.M.B was supported by a National Institutes of Health T32 Award (2T32CA071345-21A1) and a SITC-Mallinckrodt Pharmaceuticals Adverse Events in Cancer Immunotherapy Clinical Fellowship. D.A.Z. was supported by a National Institutes of Health T32 Award T32HL007208 and K24HL150238-02. This work was made possible by the generous support from the National Institute of Health Director’s New Innovator Award (DP2CA247831; to A.C.V.), the Massachusetts General Hospital Transformative Scholar in Medicine Award (to A.C.V.), the Damon Runyon-Rachleff Innovation Award (to A.C.V.), The Melanoma Research Alliance Young Investigator Award, the MGH Howard M. Goodman Fellowship (to A.C.V.), the Arthur, Sandra, and Sarah Irving Fund for Gastrointestinal Immuno-Oncology (to A.C.V.), the Kraft Foundation Award (to. K.L.R. and A.C.V.), and by the generous support of an anonymous donor (to. K.L.R. and A.C.V.).

References

  1. Wang DY, Salem J-E, Cohen JV, Chandra S, Menzer C, Ye F, et al. Fatal toxic effects associated with immune checkpoint inhibitors. JAMA Oncology. 2018;4:1721.

  2. Zhu H, Galdos FX, Lee D, Waliany S, Huang YV, Ryan J, et al. Identification of pathogenic immune cell subsets associated with checkpoint inhibitor-induced myocarditis. Circulation. 2022;146:316–335.

  3. Finke D, Heckmann MB, Salatzki J, Riffel J, Herpel E, Heinzerling LM, et al. Comparative transcriptomics of immune checkpoint inhibitor myocarditis identifies guanylate binding protein 5 and 6 dysregulation. Cancers 2021;13:2498.

  4. Blum SM, Zlotoff DA, Smith NP, Kernin IJ, Ramesh S, Zubiri L, et al. Immune responses in checkpoint myocarditis across heart, blood, and tumor. bioRxiv. 2023. p. 2023.09.15.557794. doi:10.1101/2023.09.15.557794.

  5. Siddiqui BA, Palaskas NL, Basu S, Dai Y, He Z, Yadav SS, et al. Molecular pathways and cellular subsets associated with adverse clinical outcomes in overlapping immune-related myocarditis and myositis. BioRxiv. 2023; p. 2023.09.15.556590. doi:10.1101/2023.09.15.556590.

  6. Brahmer JR, Abu-Sbeih H, Ascierto PA, Brufsky J, Cappelli LC, Cortazar FB, et al. Society for immunotherapy of cancer (SITC) clinical practice guideline on immune checkpoint inhibitor-related adverse events. Journal for ImmunoTherapy of Cancer. 2021;9:e002435.

  7. Drobni ZD, Alvi RM, Taron J, Zafar A, Murphy SP, Rambarat PK, et al. Association between immune checkpoint inhibitors with cardiovascular events and atherosclerotic plaque. Circulation. 2020. doi:10.1161/circulationaha.120.049981.

  8. Stoeckius M, Hafemeister C, Stephenson W, Houck-Loomis B, Chattopadhyay PK, Swerdlow H, et al. Simultaneous epitope and transcriptome measurement in single cells. Nat Methods. 2017;14:865–868.

  9. Thomas MF, Slowikowski K, Manakongtreecheep K, Sen P, Samanta N, Tantivit J, et al. Single-cell transcriptomic analyses reveal distinct immune cell contributions to epithelial barrier dysfunction in checkpoint inhibitor colitis. Nat Med. 2024. doi:10.1038/s41591-024-02895-x.

  10. Heaton H, Talman AM, Knights A, Imaz M, Gaffney DJ, Durbin R, et al. Souporcell: robust clustering of single-cell RNA-seq data by genotype without reference genotypes. Nat Methods. 2020;17:615–620.

  11. Huang Y, McCarthy DJ, Stegle O. Vireo: Bayesian demultiplexing of pooled single-cell RNA-seq data without genotype reference. Genome Biol. 2019;20:273.

Ethics Approval Informed consent was obtained from all patients or their appropriate representatives. All research protocols were approved by the Dana-Farber/Harvard Cancer Center Institutional Review Boards (#11-181 and 13-416).

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