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A model informed approach to assess the risk of checkpoint inhibitors induced myocarditis

Abstract:
Immune checkpoint inhibitors (ICIs), as a novel immunotherapy, are designed to modulate the immune system to attack malignancies. Despite their promising benefits, immune-related adverse events (IRAEs) may occur, and incidences are bound to increase with surging demand of this class of drugs in treating cancer. Myocarditis, although rare compared to other IRAEs, has a significantly higher fatal frequency. Due to the overwhelming complexity of the immune system, this condition is not well understood, despite the significant research efforts devoted to it. To better understand the development and progression of autoimmune myocarditis and the roles of ICIs therein, we suggest a new approach: mathematical modelling. Mathematical modelling of myocarditis has enormous potential to determine which parts of the immune system are critical to the development and progression of the disease, and therefore warrant further investigation. We provide the immunological background needed to develop a mathematical model of this disease and review relevant existing models of immunology that serve as the mathematical inspiration needed to develop this field.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.3389/fphar.2022.966180

Authors



Publisher:
Frontiers Media
Journal:
Frontiers in Pharmacology More from this journal
Volume:
13
Article number:
966180
Publication date:
2022-09-26
Acceptance date:
2022-08-23
DOI:
EISSN:
1663-9812


Language:
English
Keywords:
Pubs id:
1278376
Local pid:
pubs:1278376
Deposit date:
2022-09-11

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