Evidence map›Paper›PMID 39324142›Full record

ArticleFrontiers in immunology2024

Autoantibody profiling of patients with immune checkpoint inhibitor-associated myocarditis: a pilot study.

Siqi Li, DongZhu Xu, Nobuyuki Murakoshi, Zixun Yuan, Takuro Imaoka, Kazuko Tajiri

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Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Siqi LiDepartment of Cardiology, Institute of Medicine, University of Tsukuba, Tsukuba, Japan.
DongZhu XuDepartment of Cardiology, Institute of Medicine, University of Tsukuba, Tsukuba, Japan.
Nobuyuki MurakoshiDepartment of Cardiology, Institute of Medicine, University of Tsukuba, Tsukuba, Japan.
Zixun YuanStanley and Judith Frankel Institute for Heart & Brain Health, University of Michigan Medical School, Ann Arbor, MI, United States.
Takuro ImaokaDepartment of Cardiology, National Cancer Center Hospital East, Kashiwa, Japan.
Kazuko TajiriTsukuba Life Science Innovation Program (T-LSI), School of Integrative and Global Majors (SIGMA), University of Tsukuba, Tsukuba, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Immune checkpoint inhibitor (ICI)-associated myocarditis is a rare, but potentially fatal, immune-related adverse event. Hence, identifying biomarkers is critical for selecting and managing patients receiving ICI treatment. Serum autoantibodies (AAbs) in patients with ICI myocarditis may serve as potential biomarkers for predicting, diagnosing, and prognosing ICI myocarditis. We conducted a pilot study using a human proteome microarray with approximately 17,000 unique full-length human proteins to investigate AAbs associated with ICI myocarditis. Methods and results: AAb profiling was performed using sera collected from three patients with ICI myocarditis before the start of ICI treatment and immediately after myocarditis onset. All patients received anti-programmed death-1 antibody monotherapy. At baseline, 116, 296, and 154 autoantigens reacted positively to immunoglobulin G (IgG) in the serum samples from Cases 1, 2, and 3, respectively. Among these proteins, the recombination signal-binding protein for the immunoglobulin kappa J region (RBPJ) was recognized by all three samples, and 32 autoantigens were recognized by any two of the three samples. At the onset of ICI myocarditis, compared to baseline, 48, 114, and 5 autoantigens reacted more strongly with IgG in the serum samples from Cases 1, 2, and 3, respectively. Among these, antibodies against eukaryotic translation initiation factor 4E binding protein 3 (EIF4EBP3) were the most upregulated, with a 38-fold increase. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses highlighted that B-cell receptor signaling, leukocyte transendothelial migration, and thymus development were among the most affected pathways. Enrichment analyses using DisGeNET revealed that proteins reacting to AAbs detected in patients with ICI myocarditis are associated with several diseases, including dilated cardiomyopathy and muscle weakness. Conclusions: This pilot study provides the first integrated analysis of serum AAb profiling in patients with ICI myocarditis and identifies novel candidate markers associated with an increased risk of developing ICI myocarditis and its pathogenesis. However, our results require further independent validation in clinical trials involving a larger number of patients.

Indexed as

AutoantibodiesImmune Checkpoint InhibitorsMyocarditisAgedAutoantigensBiomarkersFemaleHumansMaleMiddle AgedPilot ProjectsAutoantibodiesAutoantigensBiomarkersImmune Checkpoint Inhibitorsautoimmunitycardio-oncologyimmune-related adverse eventirAEonco-cardiologyproteomeproteomics

Identifiers

PMID39324142
PMCPMC11422215

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.