Cited by 192Cancer Immunotherapy and BiomarkersViral Infections and Immunology ResearchCardiac Fibrosis and Remodeling

Identification of Pathogenic Immune Cell Subsets Associated With Checkpoint Inhibitor–Induced Myocarditis

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Zhu, Han, Galdos, Francisco X., Lee, Daniel, Waliany, Sarah, Huang, Yuhsin Vivian, Ryan, Julia, Dang, Katherine, Neal, Joel W. +9 more·2022·Circulation

Abstract

Background: Immune checkpoint inhibitors (ICIs) are monoclonal antibodies used to activate the immune system against tumor cells. Despite therapeutic benefits, ICIs have the potential to cause immune-related adverse events such as myocarditis, a rare but serious side effect with up to 50% mortality in affected patients. Histologically, patients with ICI myocarditis have lymphocytic infiltrates in the heart, implicating T cell–mediated mechanisms. However, the precise pathological immune subsets and molecular changes in ICI myocarditis are unknown. Methods: To identify immune subset(s) associated with ICI myocarditis, we performed time-of-flight mass cytometry on peripheral blood mononuclear cells from 52 individuals: 29 patients with autoimmune adverse events (immune-related adverse events) on ICI, including 8 patients with ICI myocarditis, and 23 healthy control subjects. We also used multiomics single-cell technology to immunophenotype 30 patients/control subjects using single-cell RNA sequencing, single-cell T-cell receptor sequencing, and cellular indexing of transcriptomes and epitopes by sequencing with feature barcoding for surface marker expression confirmation. To correlate between the blood and the heart, we performed single-cell RNA sequencing/T-cell receptor sequencing/cellular indexing of transcriptomes and epitopes by sequencing on MRL/Pdcd1 −/− (Murphy Roths large/programmed death-1–deficient) mice with spontaneous myocarditis. Results: Using these complementary approaches, we found an expansion of cytotoxic CD8 + T effector cells re-expressing CD45RA (Temra CD8 + cells) in patients with ICI myocarditis compared with control subjects. T-cell receptor sequencing demonstrated that these CD8 + Temra cells were clonally expanded in patients with myocarditis compared with control subjects. Transcriptomic analysis of these Temra CD8 + clones confirmed a highly activated and cytotoxic phenotype. Longitudinal study demonstrated progression of these Temra CD8 + cells into an exhausted phenotype 2 months after treatment with glucocorticoids. Differential expression analysis demonstrated elevated expression levels of proinflammatory chemokines (CCL5/CCL4/CCL4L2) in the clonally expanded Temra CD8 + cells, and ligand receptor analysis demonstrated their interactions with innate immune cells, including monocytes/macrophages, dendritic cells, and neutrophils, as well as the absence of key anti-inflammatory signals. To complement the human study, we performed single-cell RNA sequencing/T-cell receptor sequencing/cellular indexing of transcriptomes and epitopes by sequencing in Pdcd1 −/− mice with spontaneous myocarditis and found analogous expansions of cytotoxic clonal effector CD8 + cells in both blood and hearts of such mice compared with controls. Conclusions: Clonal cytotoxic Temra CD8 + cells are significantly increased in the blood of patients with ICI myocarditis, corresponding to an analogous increase in effector cytotoxic CD8 + cells in the blood/hearts of Pdcd1 −/− mice with myocarditis. These expanded effector CD8 + cells have unique transcriptional changes, including upregulation of chemokines CCL5/CCL4/CCL4L2, which may serve as attractive diagnostic/therapeutic targets for reducing life-threatening cardiac immune-related adverse events in ICI-treated patients with cancer.

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Crossref · 10.1161/circulationaha.121.056730

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  • Expansion of CD8+ T cells was observed in PBMC of patients with ICI myocarditis.

    “Expansion of CD8 + T cells was also observed in the PBMC of patients with ICI myocarditis”

    From Autoimmune Myocarditis, Old Dogs and New Tricks. (2024) · cites this paper as [83]

    The Results report an increase in Temra CD8+ cells in the peripheral blood of patients with ICI myocarditis. They also report no significant difference in overall CD8+ T-cell proportions, so the claim is supported for a CD8+ subset, not CD8+ T cells generally. (LLM, conf=0.88)

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Research works printed but not linked: 53

  1. [1]Moslehi JJ, Salem JE, Sosman JA, Lebrun-Vignes B, Johnson DB. Increased reporting of fatal immune checkpoint inhibitor-associated myocarditis. Lancet. 2018; 391: 933. PMC6668330 29536852
  2. [2]Mahmood SS, Fradley MG, Cohen JV., Nohria A, Reynolds KL, Heinzerling LM, Myocarditis in Patients Treated With Immune Checkpoint Inhibitors. J Am Coll Cardiol. 2018; 71: 1755– 1764. 29567210 PMC6196725
  3. [3]Salem J, Manouchehri A, Moey M, Lebrun-vignes B, Bastarache L, Pariente A, Articles Cardiovascular toxicities associated with immune checkpoint inhibitors: an observational, retrospective, pharmacovigilance study. Lancet Oncol. 2018; 2045: 1– 11. PMC6287923 30442497
  4. [4]Caforio ALP. Myocarditis: endomyocardial biopsy and circulating anti-heart autoantibodies are key to diagnosis and personalized etiology-directed treatment. European Heart Journal. 2021; 42: 1618– 1620. 33538808
  5. [6]Blanco-Domínguez R, Sánchez-Díaz R, de la Fuente H, Jiménez-Borreguero LJ, Matesanz-Marín A, Relaño M, A Novel Circulating MicroRNA for the Detection of Acute Myocarditis. N Engl J Med. 2021; 384: 2014– 2027. 34042389 PMC8258773
  6. [7]Grabie N, Lichtman AH, Padera R. T cell checkpoint regulators in the heart. Cardiovasc Res. 2019; 115: 869– 877. 30721928 PMC6452292
  7. [8]Bockstahler M, Fischer A, Goetzke CC, Neumaier HL, Sauter M, Kespohl M, Heart-Specific Immune Responses in an Animal Model of AutoimmuneRelated Myocarditis Mitigated by an Immunoproteasome Inhibitor and Genetic Ablation. Circulation. 2020; 1885– 1902. 32160764
  8. [9]Amioka N, Nakamura K, Kimura T, Ohta-Ogo K, Tanaka T, Toji T, Pathological and clinical effects of interleukin-6 on human myocarditis. J Cardiol. 2021; 2– 5. 33814251
  9. [10]Thavendiranathan P, Zhang L, Zafar A, Drobni ZD, Mahmood SS, Cabral M, Myocardial T1 and T2 Mapping by Magnetic Resonance in Patients With Immune Checkpoint Inhibitor–Associated Myocarditis. J Am Coll Cardiol. 2021; 77: 1503– 1516. 33766256 PMC8442989
  10. [11]Zhang L, Reynolds KL, Lyon AR, Palaskas N, Neilan TG. The Evolving Immunotherapy Landscape and the Epidemiology, Diagnosis, and Management of Cardiotoxicity: JACC: CardioOncology Primer. JACC CardioOncology. 2021; 3: 35– 47. 33842895 PMC8034586
  11. [12]Johnson DB, Balko JM, Compton ML, Chalkias S, Gorham J, Xu Y, Fulminant Myocarditis with Combination Immune Checkpoint Blockade. N Engl J Med. 2016; 375: 1749– 1755. 27806233 PMC5247797
  12. [13]Touat M, Maisonobe T, Knauss S, Ben Hadj Salem O, Hervier B, Auré K, Immune checkpoint inhibitor-related myositis and myocarditis in patients with cancer. Neurology 2018; 985– 994. 30089619
  13. [14]Wang J, Okazaki IM, Yoshida T, Chikuma S, Kato Y, Nakaki F, PD-1 deficiency results in the development of fatal myocarditis in MRL mice. Int Immunol. 2010; 22: 443– 452. 20410257
  14. [17]Newell E, Sigal N, Bendall S, Nolan G, Davis MM. Cytometry by Time-of-Flight Shows Combinatorial Cytokine Expression and Virus-Specific Cell Niches within a Continuum of CD8+ T Cell Phenotypes. Immunity. 2012; 36: 142– 152. 22265676 PMC3752833
  15. [18]Szabo PA, Levitin HM, Miron M, Snyder ME, Senda T, Yuan J, Single-cell transcriptomics of human T cells reveals tissue and activation signatures in health and disease. Nat Commun. 2019; 10: 1– 16. 31624246 PMC6797728
  16. [19]Gibellini L, De Biasi S, Porta C, Lo Tartaro D, Depenni R, Pellacani G, Single-Cell Approaches to Profile the Response to Immune Checkpoint Inhibitors. Front Immunol. 2020; 11: 1– 18. 32265933 PMC7100547
  17. [20]Leipold M, Maecker H. Phenotyping of Live Human PBMC using CyTOFTM Mass Cytometry. Bio-Protocol. 2015; 5: 1– 6. PMC4933512 27390767
  18. [21]Russi AE, Brown MA. Mass Cytometry: Single Cells, Many Features. Cell. 2016; 165: 255– 69. PMC4860251 27153492
  19. [22]Gadalla R, Noamani B, MacLeod BL, Dickson RJ, Guo M, Xu W, Validation of CyTOF against flow cytometry for immunological studies and monitoring of human cancer clinical trials. Front Oncol. 2019; 9: 1– 13. 31165047 PMC6534060
  20. [23]Chattopadhyay PK, Winters AF, Iii WEL, Laino AS, Woods DM. High-Parameter Single-Cell Analysis. Annu Rev Anal Chem. 2019; 12: 411– 30. 30699035
  21. [24]Han A, Glanville J, Hansmann L, Davis MM. Linking T-cell receptor sequence to functional phenotype at the single-cell level. Nat Biotechnol. 2014; 32: 684– 692. 24952902 PMC4337815
  22. [25]Tomic A, Tomic I, Dekker CL, Maecker HT, Davis MM. The FluPRINT dataset, a multidimensional analysis of the influenza vaccine imprint on the immune system. Sci Data. 2019; 6: 1– 10. 31636302 PMC6803714
  23. [26]Wilk AJ, Rustagi A, Zhao NQ, Roque J, Martínez-Colón GJ, McKechnie JL, A single-cell atlas of the peripheral immune response in patients with severe COVID-19. Nat Med. 2020; 26: 1070– 1076. 32514174 PMC7382903
  24. [27]Chen Z, Liu Y, Hu S, Zhang M, Shi B, Wang Y. Decreased Treg Cell and TCR Expansion Are Involved in Long-Lasting Graves’ Disease. Front Endocrinol. 2021; 12: 1– 12. PMC8074859 33912135
  25. [28]Machado FS, Koyama NS, Carregaro V, Ferreira BR, Milanezi CM, Teixeira MM, CCR5 plays a critical role in the development of myocarditis and host protection in mice infected with Trypanosoma cruzi. J Infect Dis. 2005; 191: 627– 636. 15655788 PMC7109658
  26. [29]Damås JK, Eiken HG, Øie E, Bjerkeli V, Yndestad A, Ueland T, Myocardial expression of CC- and CXC-chemokines and their receptors in human end-stage heart failure. Cardiovasc Res. 2000; 47: 778– 787. 10974226
  27. [30]Luoma AM, Suo S, Williams HL, Sharova T, Sullivan K, Manos M, Molecular Pathways of Colon Inflammation Induced by Cancer Immunotherapy. Cell. 2020; 182: 655– 671. 32603654 PMC7415717
  28. [31]Kelly KM, Tocchetti CG, Lyashkov A, Tarwater PM, Bedja D, Graham DR, CCR5 inhibition prevents cardiac dysfunction in the SIV/macaque model of HIV. J Am Heart Assoc. 2014; 3: 1– 8. PMC4187513 24695652
  29. [33]Efremova M, Vento-Tormo M, Teichmann SA, Vento-Tormo R. CellPhoneDB: inferring cell-cell communication from combined expression of multi-subunit ligand-receptor complexes. Nat Protoc. 2020; 15: 1484– 1506. 32103204
  30. [34]Bandala-Sanchez E, Zhang Y, Reinwald S, Dromey JA, Lee BH, Qian J, T cell regulation mediated by interaction of soluble CD52 with the inhibitory receptor Siglec-10. Nat Immunol. 2013; 14: 741– 748. 23685786
  31. [35]Johnson DB, Balko JM, Compton ML, Chalkias S, Gorham J, Xu Y, Fulminant myocarditis with combination immune checkpoint blockade. N Engl J Med. 2016; 375: 1749– 55. 27806233 PMC5247797
  32. [36]Takeshita M, Suzuki K, Kondo Y, Morita R, Okuzono Y, Koga K, Multi-dimensional analysis identified rheumatoid arthritis-driving pathway in human T cell. Ann Rheum Dis. 2019; 78: 1346– 56. 31167762 PMC6788883
  33. [37]Yost K, Satpathy A, Wells D, Qi Y, Wang C, Kageyama R, Clonal replacement of tumor-specific T cells following PD-1 blockade. bioRxiv. 2019; 25: 648899. PMC6689255 31359002
  34. [38]Waliany S, Neal JW, Reddy S, Wakelee H, Shah SA, Srinivas S, Myocarditis Surveillance With High-Sensitivity Troponin I During Cancer Treatment With Immune Checkpoint Inhibitors. JACC CardioOncology. 2021; 3: 137– 139. 33796869 PMC8009332
  35. [39]Mahmood SS, Fradley MG, Cohen JV., Nohria A, Reynolds KL, Heinzerling LM, Myocarditis in Patients Treated With Immune Checkpoint Inhibitors. J Am Coll Cardiol. 2018; 71: 1755– 1764. 29567210 PMC6196725
  36. [40]Salem JE, Manouchehri A, Moey M, Lebrun-Vignes B, Bastarache L, Pariente A, Cardiovascular toxicities associated with immune checkpoint inhibitors: an observational, retrospective, pharmacovigilance study. Lancet Oncol. 2018; 19: 1579– 1589. 30442497 PMC6287923
  37. [41]Arbour KC, Mezquita L, Long N, Rizvi H, Auclin E, Ni A, Impact of baseline steroids on efficacy of programmed cell death-1 and programmed death-ligand 1 blockade in patients with non–small-cell lung cancer. J Clin Oncol. 2018; 36: 2872– 2878. 30125216
  38. [43]Herndler-Brandstetter D, Ishigame H, Shinnakasu R, Plajer V, Stecher C, Zhao J, KLRG1+ Effector CD8+ T Cells Lose KLRG1, Differentiate into All Memory T Cell Lineages, and Convey Enhanced Protective Immunity. Immunity. 2018; 48: 716– 729. 29625895 PMC6465538
  39. [44]Henson SM, Akbar AN. KLRG1-more than a marker for T cell senescence. Age. 2009; 31: 285– 91. 19479342 PMC2813054
  40. [45]Li L, Wan S, Tao K, Wang G, Zhao E. KLRG1 restricts memory T cell antitumor immunity. Oncotarget. 2016; 7: 61670– 8. 27557510 PMC5308681
  41. [46]Sasaki M, Miyakoshi M, Sato Y, Nakanuma Y. Chemokine-chemokine receptor CCL2-CCR2 and CX3CL1-CX3CR1 axis may play a role in the aggravated inflammation in primary biliary cirrhosis. Dig Dis Sci. 2014; 59: 358– 364. 24185682
  42. [47]Graydon CG, Mohideen S, Fowke KR. LAG3’s Enigmatic Mechanism of Action. Front Immunol. 2021; 11: 1– 7. PMC7820757 33488626
  43. [49]Zhao F, Sikora MJ, Serratelli WS, Fernandes RA, Louis DM, Yao W, Opposing T cell responses in experimental autoimmune encephalomyelitis. Nature. 2019; 572: 481– 488. 31391585 PMC7145319
  44. [50]Waliany S, Lee D, Witteles RM, Neal JW, Nguyen P, Davis MM, Immune Checkpoint Inhibitor Cardiotoxicity: Understanding Basic Mechanisms and Clinical Characteristics and Finding a Cure. Annu Rev Pharmacol Toxicol. 2021; 61: 113– 34. 32776859
  45. [52]Kyto V, Sipila J, Rautava P. Gender differences in myocarditis: a nationwide study in Finland. Eur Heart J. 2013; 34: 3505.
  46. [53]Salem JE, Allenbach Y, Kerneis M. Abatacept for severe immune checkpoint inhibitor–associated myocarditis. N Engl J Med. 2019; 380: 2377– 9. 31189043
  47. [54]Marques RE, Guabiraba R, Russo RC, Teixeira MM. Targeting CCL5 in inflammation. Expert Opin Ther Targets. 2013; 17: 1439– 1460. 24090198 PMC7103722
  48. [55]Crawford A, Angelosanto JM, Nadwodny KL, Blackburn SD, Wherry EJ. A role for the chemokine RANTES in regulating CD8 T cell responses during chronic viral infection. PLoS Pathog. 2011; 7: 1– 17. PMC3141034 21814510
  49. [56]Lichtman AH. The heart of the matter: Protection of the myocardium from T cells. Journal of Autoimmunity. 2013; 45: 90– 96. 23810579 PMC3783609
  50. [57]Henke A, Huber S, Stelzner A, Whitton JL. The role of CD8+ T lymphocytes in coxsackievirus B3-induced myocarditis. J Virol. 1995; 69: 6720– 6728. 7474082 PMC189582
  51. [58]Grabie N, Delfs MW, Westrich JR, Love VA, Stavrakis G, Ahmad F, IL-12 is required for differentiation of pathogenic CD8+ T cell effectors that cause myocarditis. J Clin Invest. 2003; 111: 671– 680. 12618521 PMC151896
  52. [60]Zhu Han, Wu Sean (2022). Identification of Pathogenic Immune Cell Subsets in Checkpoint Inhibitor-induced Myocarditis. Mendeley Data. DOI: 10.17632/cm8pxdt5pm.2. PMC9397491 35762356 · DOI
  53. [61]Zhu Han, Wu Sean (2022). Identification of Pathogenic Immune Cell Subsets in Checkpoint Inhibitor-induced Myocarditis. Geo Expression Omnibus. Accession GSE180045. PMC9397491 35762356

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Authors
Zhu, H., Galdos, F. X., Lee, D., Waliany, S., Huang, Y. V., Ryan, J., Dang, K., Neal, J. W., Wakelee, H. A., Reddy, S. A., Srinivas, S., Lin, L.-L., Witteles, R. M., Maecker, H. T., Davis, M. M., Nguyen, P. K., & Wu, S. M.
Affiliations
  • Stanford Medicine (US)
  • Stanford Cardiovascular Institute (US)
  • Stanford University (US)
  • Cornell University (US)
  • University of California, Santa Barbara (US)
  • Sanofi (United States) (US)
  • Howard Hughes Medical Institute (US)
Venue
Circulation
Published
2022-07-26
Volume
146
Issue
4
Pages
316-335
ISSN
  • 0009-7322 (ISSN-L)
  • 1524-4539
OpenAlex
W4283704197
Cited by
192
References
8
Citations by year
2026: 53 · 2025: 56 · 2024: 47 · 2023: 29 · 2022: 6 · 2021: 1
FWCI
14.86
Type
journal article
Language
en
Open access
Locations
  • Circulation (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Heart, Lung, and Blood Institute (F32HL149188, K08HL161405)
  • National Cancer Institute (P30CA124435)
  • National Institute of General Medical Sciences (RM1GM131981)
  • U.S. National Library of Medicine (DP1LM012179)
Topics
  • Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Viral Infections and Immunology Research
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Fibrosis and Remodeling
Keywords
immune checkpoint inhibitors, immune-related adverse events, myocarditis, CD8+ T cells, TEMRA cells, T cell exhaustion, clonal expansion, T cell receptor repertoire, chemokines, RANTES, carbon tetrachloride, monocytes, dendritic cells, neutrophils, PDCD1
MeSH terms
Antineoplastic Agents, Immunological, Animals, Epitopes, Antineoplastic Agents, Humans, Leukocytes, Mononuclear, Longitudinal Studies, Myocarditis, Mice

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