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Prognostic Role of Tumor Immune Microenvironment in Pleural Epithelioid Mesothelioma

BACKGROUND: Pleural mesothelioma (MPM) is an aggressive malignancy with an average patient survival of only 10 months. Interestingly, about 5%–10% of the patients survive remarkably longer. Prior studies have suggested that the tumor immune microenvironment (TIME) has potential prognostic value in M...

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Autores principales: Ollila, Hely, Mäyränpää, Mikko I., Paavolainen, Lassi, Paajanen, Juuso, Välimäki, Katja, Sutinen, Eva, Wolff, Henrik, Räsänen, Jari, Kallioniemi, Olli, Myllärniemi, Marjukka, Ilonen, Ilkka, Pellinen, Teijo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9251441/
https://www.ncbi.nlm.nih.gov/pubmed/35795056
http://dx.doi.org/10.3389/fonc.2022.870352
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author Ollila, Hely
Mäyränpää, Mikko I.
Paavolainen, Lassi
Paajanen, Juuso
Välimäki, Katja
Sutinen, Eva
Wolff, Henrik
Räsänen, Jari
Kallioniemi, Olli
Myllärniemi, Marjukka
Ilonen, Ilkka
Pellinen, Teijo
author_facet Ollila, Hely
Mäyränpää, Mikko I.
Paavolainen, Lassi
Paajanen, Juuso
Välimäki, Katja
Sutinen, Eva
Wolff, Henrik
Räsänen, Jari
Kallioniemi, Olli
Myllärniemi, Marjukka
Ilonen, Ilkka
Pellinen, Teijo
author_sort Ollila, Hely
collection PubMed
description BACKGROUND: Pleural mesothelioma (MPM) is an aggressive malignancy with an average patient survival of only 10 months. Interestingly, about 5%–10% of the patients survive remarkably longer. Prior studies have suggested that the tumor immune microenvironment (TIME) has potential prognostic value in MPM. We hypothesized that high-resolution single-cell spatial profiling of the TIME would make it possible to identify subpopulations of patients with long survival and identify immunophenotypes for the development of novel treatment strategies. METHODS: We used multiplexed fluorescence immunohistochemistry (mfIHC) and cell-based image analysis to define spatial TIME immunophenotypes in 69 patients with epithelioid MPM (20 patients surviving ≥ 36 months). Five mfIHC panels (altogether 21 antibodies) were used to classify tumor-associated stromal cells and different immune cell populations. Prognostic associations were evaluated using univariate and multivariable Cox regression, as well as combination risk models with area under receiver operating characteristic curve (AUROC) analyses. RESULTS: We observed that type M2 pro-tumorigenic macrophages (CD163(+)pSTAT1(−)HLA-DRA1(−)) were independently associated with shorter survival, whereas granzyme B(+) cells and CD11c(+) cells were independently associated with longer survival. CD11c(+) cells were the only immunophenotype increasing the AUROC (from 0.67 to 0.84) when added to clinical factors (age, gender, clinical stage, and grade). CONCLUSION: High-resolution, deep profiling of TIME in MPM defined subgroups associated with both poor (M2 macrophages) and favorable (granzyme B/CD11c positivity) patient survival. CD11c positivity stood out as the most potential prognostic cell subtype adding prediction power to the clinical factors. These findings help to understand the critical determinants of TIME for risk and therapeutic stratification purposes in MPM.
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spelling pubmed-92514412022-07-05 Prognostic Role of Tumor Immune Microenvironment in Pleural Epithelioid Mesothelioma Ollila, Hely Mäyränpää, Mikko I. Paavolainen, Lassi Paajanen, Juuso Välimäki, Katja Sutinen, Eva Wolff, Henrik Räsänen, Jari Kallioniemi, Olli Myllärniemi, Marjukka Ilonen, Ilkka Pellinen, Teijo Front Oncol Oncology BACKGROUND: Pleural mesothelioma (MPM) is an aggressive malignancy with an average patient survival of only 10 months. Interestingly, about 5%–10% of the patients survive remarkably longer. Prior studies have suggested that the tumor immune microenvironment (TIME) has potential prognostic value in MPM. We hypothesized that high-resolution single-cell spatial profiling of the TIME would make it possible to identify subpopulations of patients with long survival and identify immunophenotypes for the development of novel treatment strategies. METHODS: We used multiplexed fluorescence immunohistochemistry (mfIHC) and cell-based image analysis to define spatial TIME immunophenotypes in 69 patients with epithelioid MPM (20 patients surviving ≥ 36 months). Five mfIHC panels (altogether 21 antibodies) were used to classify tumor-associated stromal cells and different immune cell populations. Prognostic associations were evaluated using univariate and multivariable Cox regression, as well as combination risk models with area under receiver operating characteristic curve (AUROC) analyses. RESULTS: We observed that type M2 pro-tumorigenic macrophages (CD163(+)pSTAT1(−)HLA-DRA1(−)) were independently associated with shorter survival, whereas granzyme B(+) cells and CD11c(+) cells were independently associated with longer survival. CD11c(+) cells were the only immunophenotype increasing the AUROC (from 0.67 to 0.84) when added to clinical factors (age, gender, clinical stage, and grade). CONCLUSION: High-resolution, deep profiling of TIME in MPM defined subgroups associated with both poor (M2 macrophages) and favorable (granzyme B/CD11c positivity) patient survival. CD11c positivity stood out as the most potential prognostic cell subtype adding prediction power to the clinical factors. These findings help to understand the critical determinants of TIME for risk and therapeutic stratification purposes in MPM. Frontiers Media S.A. 2022-06-20 /pmc/articles/PMC9251441/ /pubmed/35795056 http://dx.doi.org/10.3389/fonc.2022.870352 Text en Copyright © 2022 Ollila, Mäyränpää, Paavolainen, Paajanen, Välimäki, Sutinen, Wolff, Räsänen, Kallioniemi, Myllärniemi, Ilonen and Pellinen 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 Oncology
Ollila, Hely
Mäyränpää, Mikko I.
Paavolainen, Lassi
Paajanen, Juuso
Välimäki, Katja
Sutinen, Eva
Wolff, Henrik
Räsänen, Jari
Kallioniemi, Olli
Myllärniemi, Marjukka
Ilonen, Ilkka
Pellinen, Teijo
Prognostic Role of Tumor Immune Microenvironment in Pleural Epithelioid Mesothelioma
title Prognostic Role of Tumor Immune Microenvironment in Pleural Epithelioid Mesothelioma
title_full Prognostic Role of Tumor Immune Microenvironment in Pleural Epithelioid Mesothelioma
title_fullStr Prognostic Role of Tumor Immune Microenvironment in Pleural Epithelioid Mesothelioma
title_full_unstemmed Prognostic Role of Tumor Immune Microenvironment in Pleural Epithelioid Mesothelioma
title_short Prognostic Role of Tumor Immune Microenvironment in Pleural Epithelioid Mesothelioma
title_sort prognostic role of tumor immune microenvironment in pleural epithelioid mesothelioma
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9251441/
https://www.ncbi.nlm.nih.gov/pubmed/35795056
http://dx.doi.org/10.3389/fonc.2022.870352
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