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Distinct autoantibody profiles across checkpoint inhibitor types and toxicities
Hong Mu-Mosley1, Mitchell S von Itzstein1,2, Farjana Fattah1
1Harold C. Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, TX, USA.
Oncoimmunology
|May 13, 2024
Summary
Immune checkpoint inhibitors (ICI) impact autoantibody levels differently. Ipilimumab-containing regimens increased autoantibodies, while nivolumab decreased them, with variations based on immune-related adverse events.
Area of Science:
- Oncology
- Immunology
- Clinical Trials
Background:
- Immune checkpoint inhibitors (ICI) are crucial in cancer therapy, often used in combination.
- Understanding the specific effects of different ICI categories on the immune system is vital for optimizing treatment and managing side effects.
- Hodgkin Lymphoma treatment has evolved with combination immunotherapies.
Purpose of the Study:
- To investigate the dynamic changes in circulating autoantibodies in Hodgkin Lymphoma patients treated with combination ICI therapies.
- To compare the effects of brentuximab vedotin (BV) plus ipilimumab, BV plus nivolumab, and BV plus ipilimumab-nivolumab on autoantibody profiles.
- To correlate autoantibody changes with immune-related adverse events (irAEs).
Main Methods:
- Analysis of autoantibody levels from blood samples collected at baseline and Cycle 2 Day 1 (C2D1) in the E4412 trial (NCT01896999).
- Testing of 112 distinct autoantibodies to characterize immune responses.
- Comparison of autoantibody profiles across different ICI combination arms (BV+ipilimumab, BV+nivolumab, BV+ipilimumab-nivolumab).
Main Results:
- Ipililumab-containing regimens generally led to increased autoantibody levels, whereas the nivolumab arm showed decreases.
- Out of 15 autoantibodies with significant C2D1 changes, all nivolumab cases decreased, while over 90% of ipililumab cases increased.
- Distinct autoantibody profiles were observed correlating with specific irAEs, such as increased autoantibodies with rash and decreased autoantibodies with liver toxicity.
Conclusions:
- Dynamic autoantibody profiles vary significantly based on the category of immune checkpoint inhibitor used.
- The type of immune-related adverse event is associated with specific patterns of autoantibody changes.
- These findings may inform clinical monitoring strategies and the management of irAEs in patients receiving combination ICI therapy.
Keywords:
AutoantibodiesCTLA-4PD-1biomarkersimmune checkpoint inhibitorimmune-related adverse eventsimmunotherapy
