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Autoimmune PaneLs as PrEdictors of Toxicity in Patients TReated with Immune Checkpoint InhibiTors (ALERT)
BACKGROUND: Immune-checkpoint inhibitors (ICI) can lead to immune-related adverse events (irAEs) in a significant proportion of patients. The mechanisms underlying irAEs development are mostly unknown and might involve multiple immune effectors, such as T cells, B cells and autoantibodies (AutoAb)....
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10589949/ https://www.ncbi.nlm.nih.gov/pubmed/37865776 http://dx.doi.org/10.1186/s13046-023-02851-6 |
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author | Genta, Sofia Lajkosz, Katherine Yee, Noelle R. Spiliopoulou, Pavlina Heirali, Alya Hansen, Aaron R. Siu, Lillian L. Saibil, Sam Stayner, Lee-Anne Yanekina, Maryia Sauder, Maxwell B. Keshavarzi, Sareh Salawu, Abdulazeez Vornicova, Olga Butler, Marcus O. Bedard, Philippe L. Razak, Albiruni R. Abdul Rottapel, Robert Chruscinski, Andrzej Coburn, Bryan Spreafico, Anna |
author_facet | Genta, Sofia Lajkosz, Katherine Yee, Noelle R. Spiliopoulou, Pavlina Heirali, Alya Hansen, Aaron R. Siu, Lillian L. Saibil, Sam Stayner, Lee-Anne Yanekina, Maryia Sauder, Maxwell B. Keshavarzi, Sareh Salawu, Abdulazeez Vornicova, Olga Butler, Marcus O. Bedard, Philippe L. Razak, Albiruni R. Abdul Rottapel, Robert Chruscinski, Andrzej Coburn, Bryan Spreafico, Anna |
author_sort | Genta, Sofia |
collection | PubMed |
description | BACKGROUND: Immune-checkpoint inhibitors (ICI) can lead to immune-related adverse events (irAEs) in a significant proportion of patients. The mechanisms underlying irAEs development are mostly unknown and might involve multiple immune effectors, such as T cells, B cells and autoantibodies (AutoAb). METHODS: We used custom autoantigen (AutoAg) microarrays to profile AutoAb related to irAEs in patients receiving ICI. Plasma was collected before and after ICI from cancer patients participating in two clinical trials (NCT03686202, NCT02644369). A one-time collection was obtained from healthy controls for comparison. Custom arrays with 162 autoAg were used to detect IgG and IgM reactivities. Differences of median fluorescent intensity (MFI) were analyzed with Wilcoxon sign rank test and Kruskal–Wallis test. MFI 500 was used as threshold to define autoAb reactivity. RESULTS: A total of 114 patients and 14 healthy controls were included in this study. irAEs of grade (G) ≥ 2 occurred in 37/114 patients (32%). We observed a greater number of IgG and IgM reactivities in pre-ICI collections from patients versus healthy controls (62 vs 32 p < 0.001). Patients experiencing irAEs G ≥ 2 demonstrated pre-ICI IgG reactivity to a greater number of AutoAg than patients who did not develop irAEs (39 vs 33 p = 0.040). We observed post-treatment increase of IgM reactivities in subjects experiencing irAEs G ≥ 2 (29 vs 35, p = 0.021) and a decrease of IgG levels after steroids (38 vs 28, p = 0.009). CONCLUSIONS: Overall, these results support the potential role of autoAb in irAEs etiology and evolution. A prospective study is ongoing to validate our findings (NCT04107311). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13046-023-02851-6. |
format | Online Article Text |
id | pubmed-10589949 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105899492023-10-22 Autoimmune PaneLs as PrEdictors of Toxicity in Patients TReated with Immune Checkpoint InhibiTors (ALERT) Genta, Sofia Lajkosz, Katherine Yee, Noelle R. Spiliopoulou, Pavlina Heirali, Alya Hansen, Aaron R. Siu, Lillian L. Saibil, Sam Stayner, Lee-Anne Yanekina, Maryia Sauder, Maxwell B. Keshavarzi, Sareh Salawu, Abdulazeez Vornicova, Olga Butler, Marcus O. Bedard, Philippe L. Razak, Albiruni R. Abdul Rottapel, Robert Chruscinski, Andrzej Coburn, Bryan Spreafico, Anna J Exp Clin Cancer Res Research BACKGROUND: Immune-checkpoint inhibitors (ICI) can lead to immune-related adverse events (irAEs) in a significant proportion of patients. The mechanisms underlying irAEs development are mostly unknown and might involve multiple immune effectors, such as T cells, B cells and autoantibodies (AutoAb). METHODS: We used custom autoantigen (AutoAg) microarrays to profile AutoAb related to irAEs in patients receiving ICI. Plasma was collected before and after ICI from cancer patients participating in two clinical trials (NCT03686202, NCT02644369). A one-time collection was obtained from healthy controls for comparison. Custom arrays with 162 autoAg were used to detect IgG and IgM reactivities. Differences of median fluorescent intensity (MFI) were analyzed with Wilcoxon sign rank test and Kruskal–Wallis test. MFI 500 was used as threshold to define autoAb reactivity. RESULTS: A total of 114 patients and 14 healthy controls were included in this study. irAEs of grade (G) ≥ 2 occurred in 37/114 patients (32%). We observed a greater number of IgG and IgM reactivities in pre-ICI collections from patients versus healthy controls (62 vs 32 p < 0.001). Patients experiencing irAEs G ≥ 2 demonstrated pre-ICI IgG reactivity to a greater number of AutoAg than patients who did not develop irAEs (39 vs 33 p = 0.040). We observed post-treatment increase of IgM reactivities in subjects experiencing irAEs G ≥ 2 (29 vs 35, p = 0.021) and a decrease of IgG levels after steroids (38 vs 28, p = 0.009). CONCLUSIONS: Overall, these results support the potential role of autoAb in irAEs etiology and evolution. A prospective study is ongoing to validate our findings (NCT04107311). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13046-023-02851-6. BioMed Central 2023-10-21 /pmc/articles/PMC10589949/ /pubmed/37865776 http://dx.doi.org/10.1186/s13046-023-02851-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Genta, Sofia Lajkosz, Katherine Yee, Noelle R. Spiliopoulou, Pavlina Heirali, Alya Hansen, Aaron R. Siu, Lillian L. Saibil, Sam Stayner, Lee-Anne Yanekina, Maryia Sauder, Maxwell B. Keshavarzi, Sareh Salawu, Abdulazeez Vornicova, Olga Butler, Marcus O. Bedard, Philippe L. Razak, Albiruni R. Abdul Rottapel, Robert Chruscinski, Andrzej Coburn, Bryan Spreafico, Anna Autoimmune PaneLs as PrEdictors of Toxicity in Patients TReated with Immune Checkpoint InhibiTors (ALERT) |
title | Autoimmune PaneLs as PrEdictors of Toxicity in Patients TReated with Immune Checkpoint InhibiTors (ALERT) |
title_full | Autoimmune PaneLs as PrEdictors of Toxicity in Patients TReated with Immune Checkpoint InhibiTors (ALERT) |
title_fullStr | Autoimmune PaneLs as PrEdictors of Toxicity in Patients TReated with Immune Checkpoint InhibiTors (ALERT) |
title_full_unstemmed | Autoimmune PaneLs as PrEdictors of Toxicity in Patients TReated with Immune Checkpoint InhibiTors (ALERT) |
title_short | Autoimmune PaneLs as PrEdictors of Toxicity in Patients TReated with Immune Checkpoint InhibiTors (ALERT) |
title_sort | autoimmune panels as predictors of toxicity in patients treated with immune checkpoint inhibitors (alert) |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10589949/ https://www.ncbi.nlm.nih.gov/pubmed/37865776 http://dx.doi.org/10.1186/s13046-023-02851-6 |
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