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Updated: Jan 18, 2026

Characterization of Thymus-dependent and Thymus-independent Immunoglobulin Isotype Responses in Mice Using Enzyme-linked Immunosorbent Assay
Published on: September 7, 2018
Innate and adaptive immune features associated with immune-related adverse events.
Shaheen Khan1, Venkat S Malladi2,3, Mitchell S von Itzstein4,5
1Department of Pathology, The University of Texas Southwestern Medical Center, Dallas, Texas, USA David.Gerber@utsouthwestern.edu shaheenmkhan@outlook.com.
A pre-existing autoimmune-like state, marked by specific immune cells and inflammatory markers, predicts immune-related adverse events (irAEs) during immune checkpoint inhibitor (ICI) therapy. Understanding these baseline immune signatures can help predict and potentially mitigate irAEs.
Area of Science:
- Immunology
- Oncology
- Translational Medicine
Background:
- Immune checkpoint inhibitors (ICIs) are effective cancer treatments but can cause severe immune-related adverse events (irAEs).
- Understanding the biological mechanisms underlying irAEs is crucial for patient safety and treatment optimization.
Purpose of the Study:
- To characterize the peripheral immune landscape associated with irAE development in patients receiving ICI therapy.
- To identify potential biomarkers for predicting irAEs.
Main Methods:
- Multidimensional analysis including single-cell RNA sequencing, mass cytometry, cytokine assays, and antinuclear antibody (ANA) profiling.
- Characterization of peripheral immune cells and gene expression in 162 patients undergoing ICI therapy, comparing those with and without irAEs.
Main Results:
- Patients developing irAEs showed a baseline proinflammatory, autoimmune-like state with increased CD57+ T/NK cells, plasmablasts, activated lymphocytes, and elevated ANA levels.
- Distinct baseline proinflammatory gene signatures (e.g., IL1B, CXCL8, CXCR3, TNF, IFNG) and enriched TNF signaling were observed in irAE patients.
- Patients without irAEs had increased baseline immunosuppressive markers and distinct myeloid reprogramming.
Conclusions:
- A pre-existing activated, autoimmune-like proinflammatory state drives irAE development via plasmablast/ANA, IFN-gamma/CXCL10/CXCR3, and TNF signaling axes.
- These findings suggest potential peripheral immune biomarkers for irAE prediction.
- The study provides biological insights into irAE mechanisms, potentially guiding mitigation strategies.
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