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Immune Checkpoint Inhibitor-Induced Cerebral Pseudoprogression: Patterns and Categorization

BACKGROUND: The inclusion of immune checkpoint inhibitors (ICIs) in therapeutic algorithms has led to significant survival benefits in patients with various metastatic cancers. Concurrently, an increasing number of neurological immune related adverse events (IRAE) has been observed. In this retrospe...

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Autores principales: Urban, Hans, Steidl, Eike, Hattingen, Elke, Filipski, Katharina, Meissner, Markus, Sebastian, Martin, Koch, Agnes, Strzelczyk, Adam, Forster, Marie-Thérèse, Baumgarten, Peter, Ronellenfitsch, Michael W., Steinbach, Joachim P., Voss, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8761630/
https://www.ncbi.nlm.nih.gov/pubmed/35046955
http://dx.doi.org/10.3389/fimmu.2021.798811
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author Urban, Hans
Steidl, Eike
Hattingen, Elke
Filipski, Katharina
Meissner, Markus
Sebastian, Martin
Koch, Agnes
Strzelczyk, Adam
Forster, Marie-Thérèse
Baumgarten, Peter
Ronellenfitsch, Michael W.
Steinbach, Joachim P.
Voss, Martin
author_facet Urban, Hans
Steidl, Eike
Hattingen, Elke
Filipski, Katharina
Meissner, Markus
Sebastian, Martin
Koch, Agnes
Strzelczyk, Adam
Forster, Marie-Thérèse
Baumgarten, Peter
Ronellenfitsch, Michael W.
Steinbach, Joachim P.
Voss, Martin
author_sort Urban, Hans
collection PubMed
description BACKGROUND: The inclusion of immune checkpoint inhibitors (ICIs) in therapeutic algorithms has led to significant survival benefits in patients with various metastatic cancers. Concurrently, an increasing number of neurological immune related adverse events (IRAE) has been observed. In this retrospective analysis, we examine the ICI-induced incidence of cerebral pseudoprogression and propose a classification system. METHODS: We screened our hospital information system to identify patients with any in-house ICI treatment for any tumor disease during the years 2007-2019. All patients with cerebral MR imaging (cMRI) of sufficient diagnostic quality were included. cMRIs were retrospectively analyzed according to immunotherapy response assessment for neuro-oncology (iRANO) criteria. RESULTS: We identified 12 cases of cerebral pseudoprogression in 123 patients treated with ICIs and sufficient MRI. These patients were receiving ICI therapy for lung cancer (n=5), malignant melanoma (n=4), glioblastoma (n=1), hepatocellular carcinoma (n=1) or lymphoma (n=1) when cerebral pseudoprogression was detected. Median time from the start of ICI treatment to pseudoprogression was 5 months. All but one patient developed neurological symptoms. Three different patterns of cerebral pseudoprogression could be distinguished: new or increasing contrast-enhancing lesions, new or increasing T2 predominant lesions and cerebral vasculitis type pattern. CONCLUSION: Cerebral pseudoprogression followed three distinct patterns and was detectable in 3.2% of all patients during ICI treatment and in 9.75% of the patients with sufficient brain imaging follow up. The fact that all but one of the affected patients developed neurological symptoms, which would be classified as progressive disease according to iRANO criteria, mandates vigilance in the diagnosis and treatment of ICI-induced cerebral lesions.
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spelling pubmed-87616302022-01-18 Immune Checkpoint Inhibitor-Induced Cerebral Pseudoprogression: Patterns and Categorization Urban, Hans Steidl, Eike Hattingen, Elke Filipski, Katharina Meissner, Markus Sebastian, Martin Koch, Agnes Strzelczyk, Adam Forster, Marie-Thérèse Baumgarten, Peter Ronellenfitsch, Michael W. Steinbach, Joachim P. Voss, Martin Front Immunol Immunology BACKGROUND: The inclusion of immune checkpoint inhibitors (ICIs) in therapeutic algorithms has led to significant survival benefits in patients with various metastatic cancers. Concurrently, an increasing number of neurological immune related adverse events (IRAE) has been observed. In this retrospective analysis, we examine the ICI-induced incidence of cerebral pseudoprogression and propose a classification system. METHODS: We screened our hospital information system to identify patients with any in-house ICI treatment for any tumor disease during the years 2007-2019. All patients with cerebral MR imaging (cMRI) of sufficient diagnostic quality were included. cMRIs were retrospectively analyzed according to immunotherapy response assessment for neuro-oncology (iRANO) criteria. RESULTS: We identified 12 cases of cerebral pseudoprogression in 123 patients treated with ICIs and sufficient MRI. These patients were receiving ICI therapy for lung cancer (n=5), malignant melanoma (n=4), glioblastoma (n=1), hepatocellular carcinoma (n=1) or lymphoma (n=1) when cerebral pseudoprogression was detected. Median time from the start of ICI treatment to pseudoprogression was 5 months. All but one patient developed neurological symptoms. Three different patterns of cerebral pseudoprogression could be distinguished: new or increasing contrast-enhancing lesions, new or increasing T2 predominant lesions and cerebral vasculitis type pattern. CONCLUSION: Cerebral pseudoprogression followed three distinct patterns and was detectable in 3.2% of all patients during ICI treatment and in 9.75% of the patients with sufficient brain imaging follow up. The fact that all but one of the affected patients developed neurological symptoms, which would be classified as progressive disease according to iRANO criteria, mandates vigilance in the diagnosis and treatment of ICI-induced cerebral lesions. Frontiers Media S.A. 2022-01-03 /pmc/articles/PMC8761630/ /pubmed/35046955 http://dx.doi.org/10.3389/fimmu.2021.798811 Text en Copyright © 2022 Urban, Steidl, Hattingen, Filipski, Meissner, Sebastian, Koch, Strzelczyk, Forster, Baumgarten, Ronellenfitsch, Steinbach and Voss https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Urban, Hans
Steidl, Eike
Hattingen, Elke
Filipski, Katharina
Meissner, Markus
Sebastian, Martin
Koch, Agnes
Strzelczyk, Adam
Forster, Marie-Thérèse
Baumgarten, Peter
Ronellenfitsch, Michael W.
Steinbach, Joachim P.
Voss, Martin
Immune Checkpoint Inhibitor-Induced Cerebral Pseudoprogression: Patterns and Categorization
title Immune Checkpoint Inhibitor-Induced Cerebral Pseudoprogression: Patterns and Categorization
title_full Immune Checkpoint Inhibitor-Induced Cerebral Pseudoprogression: Patterns and Categorization
title_fullStr Immune Checkpoint Inhibitor-Induced Cerebral Pseudoprogression: Patterns and Categorization
title_full_unstemmed Immune Checkpoint Inhibitor-Induced Cerebral Pseudoprogression: Patterns and Categorization
title_short Immune Checkpoint Inhibitor-Induced Cerebral Pseudoprogression: Patterns and Categorization
title_sort immune checkpoint inhibitor-induced cerebral pseudoprogression: patterns and categorization
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8761630/
https://www.ncbi.nlm.nih.gov/pubmed/35046955
http://dx.doi.org/10.3389/fimmu.2021.798811
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