ArticleJournal for immunotherapy of cancer2022
Lower baseline autoantibody levels are associated with immune-related adverse events from immune checkpoint inhibition.
Article in Journal for immunotherapy of cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.
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Who cites it
58 citing papers in PubMed, 57 citations in OpenAlex.
- Distinct autoantibody profiles across checkpoint inhibitor types and toxicities.Oncoimmunology · 2024Trial
- B cells and humoral immunity in melanoma: regulatory and autoimmune-like features and implications for immunotherapy.Oncoimmunology · 2026Review
- Prediction of immune-related adverse events in urological cancer during checkpoint inhibitor immunotherapy through immunohistochemical analysis of tumorous LCP1/ADPGK.Translational oncology · 2026Article
- Immune Checkpoint Inhibitor-Associated Inflammatory Arthritis.Arthritis & rheumatology (Hoboken, N.J.) · 2026Review
- Comprehensive characterization of the inflammatory ecosystems in immunotherapy-induced adverse events versus chronic inflammatory diseases.Journal for immunotherapy of cancer · 2026Article
- Phenotypic, functional, prognostic and predictive significance of B-cell and antibody responses in human melanoma: a scoping review.The British journal of dermatology · 2026Article
- Nurse-coordinated biomarker and symptom monitoring for immune checkpoint inhibitor toxicity.Frontiers in medicine · 2026Review
- Editorial: Autoantibodies in cancer: diagnostic, prognostic, and therapeutic potential.Frontiers in oncology · 2026Article
- Toward nursing-integrated biomarker surveillance for immune-related adverse events during immune checkpoint inhibitor therapy.Frontiers in medicine · 2026Review
- High-titer antinuclear antibodies are associated with severe immune-related toxicity and exploratory survival outcomes in advanced gastric cancer immunotherapy.Therapeutic advances in medical oncology · 2026Article
- Integrated cellular, proteomic and metabolomic profiling of immune-related adverse events in non-small cell lung cancer.Frontiers in immunology · 2026Article
- Dynamic peripheral immune monitoring during checkpoint blockade: a framework for interpreting response, toxicity and resistance.Frontiers in immunology · 2026Review
- Multi-institutional analysis of incidence and risks for late-onset immune toxicity in breast cancer.NPJ breast cancer · 2025Article
- Risk factors and mechanisms of immune checkpoint inhibitor-related pneumonitis.Human vaccines & immunotherapeutics · 2025Review
- Genetic haplotypes inJournal for immunotherapy of cancer · 2025Article
- Innate and adaptive immune features associated with immune-related adverse events.Journal for immunotherapy of cancer · 2025Article
- Autoantibody profiling using microarray identifies biomarkers associated with chemoimmunotherapy efficacy and immune-related adverse events in lung cancer patients.Clinical and experimental medicine · 2025Article
- Immune checkpoint inhibitors: From friend to foe.Toxicology reports · 2025Article
- Circulating immunoregulatory B cell and autoreactive antibody profiles predict lack of toxicity to anti-PD-1 checkpoint inhibitor treatment in advanced melanoma.Journal for immunotherapy of cancer · 2025Article
- Expert consensus on cancer treatment-related lung injury.Journal of thoracic disease · 2025Review
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
introductionImmune checkpoint inhibitors (ICI) are a novel cancer therapeutic that have been successful in treating advanced malignancies; however, they also cause immune-related adverse events (irAE). Given that some irAE are clinically similar to traditional autoimmune diseases, autoantibodies have been suggested as possible biomarkers of irAE. However, there are very little data on autoantibody investigation prior to ICI. Our aim was to determine if specific baseline autoantibodies were associated with irAE and see if changes in autoantibody concentration corresponded with irAE development.
methodsThis study used data from an oncologic clinical trial of adaptive dosing combination ICI therapy in patients with advanced melanoma. Plasma was collected at baseline and 6 weeks after ICI initiation and tested in a microarray of 120 autoantigens commonly associated with autoimmune disease, as well as antinuclear antibody (ANA), rheumatoid factor (RF), and anti-cyclic citrullinated peptide antibody (anti-CCP). Autoantibody concentrations were compared between patients experiencing an organ-specific event versus not. Heatmaps, volcano plots and hierarchical clustering were used to determine autoantibody concentration differences among irAE patient clusters as defined by signal intensity of autoantibodies. Kaplan-Meier curves were created and a log-rank test was performed to assess differences in survival.
resultsThe microarray analysis demonstrated that patients who experienced specific irAE had fewer differentially expressed autoantibodies at baseline than those that did not have those specific irAE, and a greater fold change (FC) in antibody concentration from baseline to 6 weeks corresponded with specific irAE development. However, no autoantibodies were identified as being predictive of specific events. Time to first irAE was less than 6 weeks in 69% of patients, and these patients had less autoantibodies at baseline. Considering ANA, RF and CCP autoantibodies, there were no significant differences between the seropositive and seronegative patients in irAE development, severity, timing or survival.
conclusionPatients with low autoantibody concentrations at baseline as well as a greater FC in autoantibody concentration over 6 weeks developed more distinct organ-specific irAE. This may suggest differences in the balance of cellular immunity and humoral pathways that are relevant in the pathogenesis of irAE, though further investigation is needed.
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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.