Lower baseline autoantibody levels are associated with immune-related adverse events from immune checkpoint inhibition
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 hav...
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Published in | Journal for immunotherapy of cancer Vol. 10; no. 1; p. e004008 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
BMJ Publishing Group Ltd
01.01.2022
BMJ Publishing Group LTD BMJ Publishing Group |
Series | Original research |
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Online Access | Get full text |
ISSN | 2051-1426 2051-1426 |
DOI | 10.1136/jitc-2021-004008 |
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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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AbstractList | Immune 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.
This 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.
The 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.
Patients 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. 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. Immune 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.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.This 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.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.The 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.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.Patients 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.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. |
Author | Zhu, Chengsong Ghosh, Nilasha Li, Quan-Zhen Postow, Michael Vitone, Greg Chan, Karmela K Bass, Anne R Jannat-Khah, Deanna |
AuthorAffiliation | 3 Department of Immunology, Microarray and Immune Phenotyping Core Facility, University of Texas Southwestern Medical Center , Dallas , TX , USA 4 Hospital for Special Surgery, Department of Medicine, Division of Rheumatology , New York , New York , USA 1 Hospital for Special Surgery/Weill Cornell Medical College, Department of Medicine, Division of Rheumatology , New York , NY , USA 2 Melanoma & Immunotherapeutics Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center , New York , NY , USA |
AuthorAffiliation_xml | – name: 1 Hospital for Special Surgery/Weill Cornell Medical College, Department of Medicine, Division of Rheumatology , New York , NY , USA – name: 2 Melanoma & Immunotherapeutics Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center , New York , NY , USA – name: 3 Department of Immunology, Microarray and Immune Phenotyping Core Facility, University of Texas Southwestern Medical Center , Dallas , TX , USA – name: 4 Hospital for Special Surgery, Department of Medicine, Division of Rheumatology , New York , New York , USA |
Author_xml | – sequence: 1 givenname: Nilasha orcidid: 0000-0002-8799-9309 surname: Ghosh fullname: Ghosh, Nilasha email: ghoshn@hss.edu organization: Hospital for Special Surgery/Weill Cornell Medical College, Department of Medicine, Division of Rheumatology, New York, NY, USA – sequence: 2 givenname: Michael orcidid: 0000-0002-3367-7961 surname: Postow fullname: Postow, Michael organization: Melanoma & Immunotherapeutics Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY, USA – sequence: 3 givenname: Chengsong surname: Zhu fullname: Zhu, Chengsong organization: Department of Immunology, Microarray and Immune Phenotyping Core Facility, University of Texas Southwestern Medical Center, Dallas, TX, USA – sequence: 4 givenname: Deanna surname: Jannat-Khah fullname: Jannat-Khah, Deanna organization: Hospital for Special Surgery/Weill Cornell Medical College, Department of Medicine, Division of Rheumatology, New York, NY, USA – sequence: 5 givenname: Quan-Zhen surname: Li fullname: Li, Quan-Zhen organization: Department of Immunology, Microarray and Immune Phenotyping Core Facility, University of Texas Southwestern Medical Center, Dallas, TX, USA – sequence: 6 givenname: Greg surname: Vitone fullname: Vitone, Greg organization: Hospital for Special Surgery, Department of Medicine, Division of Rheumatology, New York, New York, USA – sequence: 7 givenname: Karmela K surname: Chan fullname: Chan, Karmela K organization: Hospital for Special Surgery/Weill Cornell Medical College, Department of Medicine, Division of Rheumatology, New York, NY, USA – sequence: 8 givenname: Anne R surname: Bass fullname: Bass, Anne R organization: Hospital for Special Surgery/Weill Cornell Medical College, Department of Medicine, Division of Rheumatology, New York, NY, USA |
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Keywords | melanoma antibody formation immunity autoimmunity humoral immunotherapy |
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Snippet | IntroductionImmune checkpoint inhibitors (ICI) are a novel cancer therapeutic that have been successful in treating advanced malignancies; however, they also... Immune checkpoint inhibitors (ICI) are a novel cancer therapeutic that have been successful in treating advanced malignancies; however, they also cause... |
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SubjectTerms | Aged Anti-Citrullinated Protein Antibodies - blood Antibodies Antibodies, Antinuclear - blood antibody formation Antigens Arthritis Autoantibodies - blood Autoimmune diseases autoimmunity Biomarkers Cancer Clinical trials Clinical/Translational Cancer Immunotherapy Connective tissue Diabetes Disease Female Humans humoral Immune Checkpoint Inhibitors - adverse effects Immune system immunity Immunoglobulins Immunoglobulins - blood Immunotherapy Inflammation Inflammatory bowel disease Lymphocytes Male Melanoma Melanoma - drug therapy Melanoma - immunology Middle Aged Patients Plasma Rheumatoid Factor - blood Thyroid gland |
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Title | Lower baseline autoantibody levels are associated with immune-related adverse events from immune checkpoint inhibition |
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