Identification of shared mechanisms and targets between immune checkpoint inhibitor-associated myocarditis and autoimmune myocarditis

Author:

Yang Kai1,Zhang Min2,Li Dong3,Yu Yuandong2,Cao Fengjun2,Wan Guoxing24ORCID

Affiliation:

1. Department of Emergency, Renmin Hospital, Hubei University of Medicine, Shiyan, China

2. Department of Oncology, Renmin Hospital, Hubei University of Medicine, Shiyan, China

3. Department of Cardiology, Renmin Hospital, Hubei University of Medicine, Shiyan, China

4. Institute of Cancer, Renmin Hospital, Hubei University of Medicine, Shiyan, China

Abstract

Objective This study aimed to explore the shared mechanisms and targets between immune checkpoint inhibitor-associated myocarditis (ICIM) and autoimmune myocarditis. Methods Relevant data were retrieved from public datasets and Gene Expression Omnibus (GEO) database. Gene set enrichment analysis (GSEA) of differentially expressed genes (DEGs) was used to identify significant shared signaling pathways between ICIM and non-ICI associated autoimmune myocarditis (NICIAM) represented by ICIM model and experimental autoimmune myocarditis (EAM) model, respectively. Cell type enrichment analysis and immune infiltration analysis by clusterProfiler and ImmuCellAI were performed to identify critical immune cell component involved in ICIM and NICIAM. Additionally, core shared genes across ICIM and NICIAM were identified and validated by various models and methods. Results Interferon-γ response, inflammatory response and allograft rejection signaling were identified as the shared signaling pathways associated with ICIM and NICIAM. Enrichment analysis of cell type supported an important role of increased infiltration of T cells and macrophages in both ICIM and NICIAM. However, the predominant increase of infiltrated T cells was CD4+ T cells in NICIAM, while that were CD8+ T cells in ICIM. Core shared genes Lck and Cd3d expression were found increased in both ICIM and NICIAM, and Lck inhibition was further identified and validated as potential therapeutic approach. Conclusions Our study initially established a comorbidity model to identify potential molecular mechanism including interferon-γ response, inflammatory response and allograft rejection signaling accounting for the concerns of myocarditis risk in patients with preexisting autoimmune disease (PAD) receiving ICI treatment, and supported the therapeutic potential of targeting Lck or Cd3d.

Funder

National Natural Science Foundation of China

Scientific Research Project of the Department of Education of Hubei Province

Publisher

SAGE Publications

Subject

Immunology,Immunology and Allergy,General Medicine

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