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Evaluation of autoantibodies as predictors of treatment response and immune‐related adverse events during the treatment with immune checkpoint inhibitors: A prospective longitudinal pan‐cancer study

BACKGROUND: The presence of autoantibodies in the serum of cancer patients has been associated with immune‐checkpoint inhibitor (ICI) therapy response and immune‐related adverse events (irAEs). A prospective evaluation of different autoantibodies in different cancer entities is missing. MATERIALS AN...

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Autores principales: Barth, Dominik A., Stanzer, Stefanie, Spiegelberg, Jasmin, Bauernhofer, Thomas, Absenger, Gudrun, Posch, Florian, Lipp, Rainer, Halm, Michael, Szkandera, Joanna, Balic, Marija, Gerger, Armin, Smolle, Maria A., Hutterer, Georg C., Klec, Christiane, Jost, Philipp J., Kargl, Julia, Stradner, Martin, Pichler, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9385593/
https://www.ncbi.nlm.nih.gov/pubmed/35297215
http://dx.doi.org/10.1002/cam4.4675
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author Barth, Dominik A.
Stanzer, Stefanie
Spiegelberg, Jasmin
Bauernhofer, Thomas
Absenger, Gudrun
Posch, Florian
Lipp, Rainer
Halm, Michael
Szkandera, Joanna
Balic, Marija
Gerger, Armin
Smolle, Maria A.
Hutterer, Georg C.
Klec, Christiane
Jost, Philipp J.
Kargl, Julia
Stradner, Martin
Pichler, Martin
author_facet Barth, Dominik A.
Stanzer, Stefanie
Spiegelberg, Jasmin
Bauernhofer, Thomas
Absenger, Gudrun
Posch, Florian
Lipp, Rainer
Halm, Michael
Szkandera, Joanna
Balic, Marija
Gerger, Armin
Smolle, Maria A.
Hutterer, Georg C.
Klec, Christiane
Jost, Philipp J.
Kargl, Julia
Stradner, Martin
Pichler, Martin
author_sort Barth, Dominik A.
collection PubMed
description BACKGROUND: The presence of autoantibodies in the serum of cancer patients has been associated with immune‐checkpoint inhibitor (ICI) therapy response and immune‐related adverse events (irAEs). A prospective evaluation of different autoantibodies in different cancer entities is missing. MATERIALS AND METHODS: In this prospective cohort study, we included a pan‐cancer cohort of patients undergoing ICI treatment and measured a comprehensive panel of autoantibodies at treatment start and at the time point of first response evaluation. The presence and induction of autoantibodies (ANA, ENA, myositis, hepatopathy, rheumatoid arthritis) in different cancer entities were assessed and the association between autoantibodies and disease control rate (DCR), objective response rate (ORR), and progression‐free survival (PFS), as well as the development of grade 3 or higher irAEs were evaluated by logistic regression models, cox proportional hazard models, and Kaplan–Meier estimators. RESULTS: Of 44 patients with various cancer entities, neither the presence of any positive autoantibody measurement nor the presence of positive antinuclear antibodies (ANA) [≥1:80] at baseline was associated with the examined clinical endpoints (DCR, ORR, PFS) in univariable and multivariable analyses. After 8–12 weeks of ICI treatment, DCR, ORR, and PFS did not significantly differ between patients with and without any positive autoantibody measurement or positive ANA titers. The frequency of irAEs did not differ depending on autoantibody status of the patients. CONCLUSION: Autoantibodies at treatment initiation or induction after 8–12 weeks of ICI treatment are not associated with treatment efficacy as indicated by DCR, ORR, and PFS or higher grade irAEs.
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spelling pubmed-93855932022-08-19 Evaluation of autoantibodies as predictors of treatment response and immune‐related adverse events during the treatment with immune checkpoint inhibitors: A prospective longitudinal pan‐cancer study Barth, Dominik A. Stanzer, Stefanie Spiegelberg, Jasmin Bauernhofer, Thomas Absenger, Gudrun Posch, Florian Lipp, Rainer Halm, Michael Szkandera, Joanna Balic, Marija Gerger, Armin Smolle, Maria A. Hutterer, Georg C. Klec, Christiane Jost, Philipp J. Kargl, Julia Stradner, Martin Pichler, Martin Cancer Med RESEARCH ARTICLES BACKGROUND: The presence of autoantibodies in the serum of cancer patients has been associated with immune‐checkpoint inhibitor (ICI) therapy response and immune‐related adverse events (irAEs). A prospective evaluation of different autoantibodies in different cancer entities is missing. MATERIALS AND METHODS: In this prospective cohort study, we included a pan‐cancer cohort of patients undergoing ICI treatment and measured a comprehensive panel of autoantibodies at treatment start and at the time point of first response evaluation. The presence and induction of autoantibodies (ANA, ENA, myositis, hepatopathy, rheumatoid arthritis) in different cancer entities were assessed and the association between autoantibodies and disease control rate (DCR), objective response rate (ORR), and progression‐free survival (PFS), as well as the development of grade 3 or higher irAEs were evaluated by logistic regression models, cox proportional hazard models, and Kaplan–Meier estimators. RESULTS: Of 44 patients with various cancer entities, neither the presence of any positive autoantibody measurement nor the presence of positive antinuclear antibodies (ANA) [≥1:80] at baseline was associated with the examined clinical endpoints (DCR, ORR, PFS) in univariable and multivariable analyses. After 8–12 weeks of ICI treatment, DCR, ORR, and PFS did not significantly differ between patients with and without any positive autoantibody measurement or positive ANA titers. The frequency of irAEs did not differ depending on autoantibody status of the patients. CONCLUSION: Autoantibodies at treatment initiation or induction after 8–12 weeks of ICI treatment are not associated with treatment efficacy as indicated by DCR, ORR, and PFS or higher grade irAEs. John Wiley and Sons Inc. 2022-03-16 /pmc/articles/PMC9385593/ /pubmed/35297215 http://dx.doi.org/10.1002/cam4.4675 Text en © 2022 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle RESEARCH ARTICLES
Barth, Dominik A.
Stanzer, Stefanie
Spiegelberg, Jasmin
Bauernhofer, Thomas
Absenger, Gudrun
Posch, Florian
Lipp, Rainer
Halm, Michael
Szkandera, Joanna
Balic, Marija
Gerger, Armin
Smolle, Maria A.
Hutterer, Georg C.
Klec, Christiane
Jost, Philipp J.
Kargl, Julia
Stradner, Martin
Pichler, Martin
Evaluation of autoantibodies as predictors of treatment response and immune‐related adverse events during the treatment with immune checkpoint inhibitors: A prospective longitudinal pan‐cancer study
title Evaluation of autoantibodies as predictors of treatment response and immune‐related adverse events during the treatment with immune checkpoint inhibitors: A prospective longitudinal pan‐cancer study
title_full Evaluation of autoantibodies as predictors of treatment response and immune‐related adverse events during the treatment with immune checkpoint inhibitors: A prospective longitudinal pan‐cancer study
title_fullStr Evaluation of autoantibodies as predictors of treatment response and immune‐related adverse events during the treatment with immune checkpoint inhibitors: A prospective longitudinal pan‐cancer study
title_full_unstemmed Evaluation of autoantibodies as predictors of treatment response and immune‐related adverse events during the treatment with immune checkpoint inhibitors: A prospective longitudinal pan‐cancer study
title_short Evaluation of autoantibodies as predictors of treatment response and immune‐related adverse events during the treatment with immune checkpoint inhibitors: A prospective longitudinal pan‐cancer study
title_sort evaluation of autoantibodies as predictors of treatment response and immune‐related adverse events during the treatment with immune checkpoint inhibitors: a prospective longitudinal pan‐cancer study
topic RESEARCH ARTICLES
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9385593/
https://www.ncbi.nlm.nih.gov/pubmed/35297215
http://dx.doi.org/10.1002/cam4.4675
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