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Bracamonte-Baran W, Kim ST. The Current and Future of Biomarkers of Immune Related Adverse Events. Immunol Allergy Clin North Am 2025; 45:223-249. [PMID: 40287170 DOI: 10.1016/j.iac.2025.01.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/29/2025]
Abstract
With their groundbreaking clinical responses, immune checkpoint inhibitors (ICIs) have ushered in a new chapter in cancer therapeutics. However, they are often associated with life-threatening or organ-threatening autoimmune/autoinflammatory phenomena, collectively termed immune-related adverse events (irAEs). In this review, we will first describe the mechanisms of action of ICIs as well as irAEs. Next, we will review biomarkers for predicting the development of irAEs or stratifying risks.
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Affiliation(s)
- William Bracamonte-Baran
- Department of Rheumatology, Allergy & Immunology, Yale University, 300 Cedar Street, TAC S541, New Haven, CT 06520, USA
| | - Sang T Kim
- Department of Rheumatology, Allergy & Immunology, Yale University, 300 Cedar Street, TAC S541, New Haven, CT 06520, USA.
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Sun X, Axelrod ML, Gonzalez-Ericsson PI, Sanchez V, Wang Y, Curry JL, Phillips EJ, Xu Y, Johnson DB, Balko JM. Molecular analysis of immune checkpoint inhibitor associated erythema nodosum-like toxicity. Front Immunol 2025; 16:1542499. [PMID: 40181973 PMCID: PMC11966048 DOI: 10.3389/fimmu.2025.1542499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2024] [Accepted: 02/24/2025] [Indexed: 04/05/2025] Open
Abstract
Purpose Immune checkpoint inhibitors (ICIs) are increasingly used to treat advanced malignancy but can induce immune-related adverse events (irAE). The mechanisms behind these sporadic and sometimes life-threatening irAEs remain largely unexplored. Here, we present a case report and in-depth molecular analysis of an erythema nodosum (EN) like irAE occurring in a melanoma patient with isolated brain metastasis, aiming to explore the potential mechanism of this irAE. Methods We performed RNA and T cell receptor (TCR) sequencing on the patient's resected brain metastasis and biopsy of EN-like irAE. Single cell RNA/TCR sequencing was conducted on the patient's peripheral blood mononuclear cells (PBMC) at baseline, 3 weeks after ipilimumab and nivolumab combination therapy, during EN toxicity and after resolution. Results The site of EN-like irAE showed a distinct accumulation of pro-inflammatory immune cells, accompanied by the upregulation of inflammatory and interferon response signatures. In addition, clonal expansion and activation of irAE-associated CD8 T cells and upregulation of monocyte-specific interferon signatures occurred concurrently with irAE onset. Conclusion The unique immune landscape at the EN-like irAE could indicate that this irAE is distinct from anti-tumor immune and analogous non-ICI autoimmune milieus. Our data also suggests that systemic immune activation induced by ICI treatment, as reflected in PBMC, may help monitor the patient's treatment response and access irAE risk.
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Affiliation(s)
- Xiaopeng Sun
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Margaret L. Axelrod
- Department of Pathology and Immunology, Washington University in St. Louis, St. Louis, MO, United States
| | | | - Violeta Sanchez
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
- Breast Cancer Research Program, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Yu Wang
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Jonathan L. Curry
- Department of Pathology and Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Elizabeth J. Phillips
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Yaomin Xu
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Douglas B. Johnson
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Justin M. Balko
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
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Bracamonte-Baran W, Kim ST. The Current and Future of Biomarkers of Immune Related Adverse Events. Rheum Dis Clin North Am 2024; 50:201-227. [PMID: 38670721 PMCID: PMC11232920 DOI: 10.1016/j.rdc.2024.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/28/2024]
Abstract
With their groundbreaking clinical responses, immune checkpoint inhibitors (ICIs) have ushered in a new chapter in cancer therapeutics. However, they are often associated with life-threatening or organ-threatening autoimmune/autoinflammatory phenomena, collectively termed immune-related adverse events (irAEs). In this review, we will first describe the mechanisms of action of ICIs as well as irAEs. Next, we will review biomarkers for predicting the development of irAEs or stratifying risks.
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Affiliation(s)
- William Bracamonte-Baran
- Department of Rheumatology, Allergy & Immunology, Yale University, 300 Cedar Street, TAC S541, New Haven, CT 06520, USA
| | - Sang T Kim
- Department of Rheumatology, Allergy & Immunology, Yale University, 300 Cedar Street, TAC S541, New Haven, CT 06520, USA.
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von Itzstein MS, Yang Y, Wang Y, Hsiehchen D, Sheffield TY, Fattah F, Popat V, Ahmed M, Homsi J, Dowell JE, Rashdan S, Lohrey J, Hammers HJ, Hughes RS, Wang T, Xie Y, Gerber DE. Highly variable timing renders immunotherapy efficacy and toxicity impractical biomarkers of one another in clinical practice. Front Immunol 2024; 15:1351739. [PMID: 38690281 PMCID: PMC11058939 DOI: 10.3389/fimmu.2024.1351739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 04/03/2024] [Indexed: 05/02/2024] Open
Abstract
Background A useful clinical biomarker requires not only association but also a consistent temporal relationship. For instance, chemotherapy-induced neutropenia and epidermal growth-factor inhibitor-related acneiform rash both occur within weeks of treatment initiation, thereby providing information prior to efficacy assessment. Although immune checkpoint inhibitor (ICI)-associated immune-related adverse events (irAE) have been associated with therapeutic benefit, irAE may have delayed and highly variable onset. To determine whether ICI efficacy and irAE could serve as clinically useful biomarkers for predicting each other, we determined the temporal relationship between initial efficacy assessment and irAE onset in a diverse population treated with ICI. Methods Using two-sided Fisher exact and Cochran-Armitage tests, we determined the relative timing of initial efficacy assessment and irAE occurrence in a cohort of 155 ICI-treated patients (median age 68 years, 40% women). Results Initial efficacy assessment was performed a median of 50 days [interquartile range (IQR) 39-59 days] after ICI initiation; median time to any irAE was 77 days (IQR 28-145 days) after ICI initiation. Median time to first irAE was 42 days (IQR 20-88 days). Overall, 58% of any irAE and 47% of first irAE occurred after initial efficacy assessment. For clinically significant (grade ≥2) irAE, 60% of any and 53% of first occurred after initial efficacy assessment. The likelihood of any future irAE did not differ according to response (45% for complete or partial response vs. 47% for other cases; P=1). In landmark analyses controlling for clinical and toxicity follow-up, patients demonstrating greater tumor shrinkage at initial efficacy assessment were more likely to develop future grade ≥2 (P=0.05) and multi-organ (P=0.02) irAE. Conclusions In contrast to that seen with chemotherapy and molecularly targeted therapies, the temporal relationship between ICI efficacy and toxicity is complex and bidirectional. In practice, neither parameter can be routinely relied on as a clinical biomarker to predict the other.
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Affiliation(s)
- Mitchell S. von Itzstein
- Department of Internal Medicine (Division of Hematology-Oncology), Dallas, TX, United States
- Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Yuqiu Yang
- Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Yiqing Wang
- Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - David Hsiehchen
- Department of Internal Medicine (Division of Hematology-Oncology), Dallas, TX, United States
| | - Thomas Y. Sheffield
- Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Farjana Fattah
- Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Vinita Popat
- School of Medicine, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Murtaza Ahmed
- School of Medicine, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Jade Homsi
- Department of Internal Medicine (Division of Hematology-Oncology), Dallas, TX, United States
- Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Jonathan E. Dowell
- Department of Internal Medicine (Division of Hematology-Oncology), Dallas, TX, United States
- Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Sawsan Rashdan
- Department of Internal Medicine (Division of Hematology-Oncology), Dallas, TX, United States
- Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Jay Lohrey
- Department of Internal Medicine (Division of Hematology-Oncology), Dallas, TX, United States
- Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Hans J. Hammers
- Department of Internal Medicine (Division of Hematology-Oncology), Dallas, TX, United States
- Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Randall S. Hughes
- Department of Internal Medicine (Division of Hematology-Oncology), Dallas, TX, United States
- Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Tao Wang
- Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, United States
- Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Yang Xie
- Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, United States
- Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - David E. Gerber
- Department of Internal Medicine (Division of Hematology-Oncology), Dallas, TX, United States
- Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, United States
- Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, United States
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