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Immunogenic cell death related risk model to delineate ferroptosis pathway and predict immunotherapy response of patients with GBM
Immunogenic cell death (ICD) is a type of cell death that leads to the regulation and activation of the immune response, which is marked by the exposure and delivery of damage‐associated molecular patterns (DAMPs) in the tumor microenvironment. Accumulating evidence has revealed the significance of...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554879/ https://www.ncbi.nlm.nih.gov/pubmed/36248827 http://dx.doi.org/10.3389/fimmu.2022.992855 |
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author | Feng, Songshan Liang, Xisong Li, Jing Wang, Zeyu Zhang, Hao Dai, Ziyu Luo, Peng Liu, Zaoqu Zhang, Jian Xiao, Xiaoxiong Cheng, Quan |
author_facet | Feng, Songshan Liang, Xisong Li, Jing Wang, Zeyu Zhang, Hao Dai, Ziyu Luo, Peng Liu, Zaoqu Zhang, Jian Xiao, Xiaoxiong Cheng, Quan |
author_sort | Feng, Songshan |
collection | PubMed |
description | Immunogenic cell death (ICD) is a type of cell death that leads to the regulation and activation of the immune response, which is marked by the exposure and delivery of damage‐associated molecular patterns (DAMPs) in the tumor microenvironment. Accumulating evidence has revealed the significance of ICD-related genes in tumor progression and therapeutic response. In this study, we obtained two ICD-related clusters for glioblastoma (GBM) by applying consensus clustering, and further constructed a risk signature on account of the prognostic ICD genes. Based on the risk signature, we found that higher risk scores were associated with worse patient prognosis. Besides, the results illustrated that ferroptosis regulators/markers were highly enriched the high-risk group, and ferroptosis were correlated with cytokine signaling pathway and other immune-related pathways. We also discovered that high-risk scores were correlated to specific immune infiltration patterns and good response to immune checkpoint blockade (ICB) treatment. In conclusion, our study highlights the significance of ICD-related genes as prognostic biomarkers and immune response indicators in GBM. And the risk signature integrating prognostic genes possessed significant potential value to predict the prognosis of patients and the efficacy of ICB treatment. |
format | Online Article Text |
id | pubmed-9554879 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95548792022-10-13 Immunogenic cell death related risk model to delineate ferroptosis pathway and predict immunotherapy response of patients with GBM Feng, Songshan Liang, Xisong Li, Jing Wang, Zeyu Zhang, Hao Dai, Ziyu Luo, Peng Liu, Zaoqu Zhang, Jian Xiao, Xiaoxiong Cheng, Quan Front Immunol Immunology Immunogenic cell death (ICD) is a type of cell death that leads to the regulation and activation of the immune response, which is marked by the exposure and delivery of damage‐associated molecular patterns (DAMPs) in the tumor microenvironment. Accumulating evidence has revealed the significance of ICD-related genes in tumor progression and therapeutic response. In this study, we obtained two ICD-related clusters for glioblastoma (GBM) by applying consensus clustering, and further constructed a risk signature on account of the prognostic ICD genes. Based on the risk signature, we found that higher risk scores were associated with worse patient prognosis. Besides, the results illustrated that ferroptosis regulators/markers were highly enriched the high-risk group, and ferroptosis were correlated with cytokine signaling pathway and other immune-related pathways. We also discovered that high-risk scores were correlated to specific immune infiltration patterns and good response to immune checkpoint blockade (ICB) treatment. In conclusion, our study highlights the significance of ICD-related genes as prognostic biomarkers and immune response indicators in GBM. And the risk signature integrating prognostic genes possessed significant potential value to predict the prognosis of patients and the efficacy of ICB treatment. Frontiers Media S.A. 2022-09-26 /pmc/articles/PMC9554879/ /pubmed/36248827 http://dx.doi.org/10.3389/fimmu.2022.992855 Text en Copyright © 2022 Feng, Liang, Li, Wang, Zhang, Dai, Luo, Liu, Zhang, Xiao and Cheng 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 Feng, Songshan Liang, Xisong Li, Jing Wang, Zeyu Zhang, Hao Dai, Ziyu Luo, Peng Liu, Zaoqu Zhang, Jian Xiao, Xiaoxiong Cheng, Quan Immunogenic cell death related risk model to delineate ferroptosis pathway and predict immunotherapy response of patients with GBM |
title | Immunogenic cell death related risk model to delineate ferroptosis pathway and predict immunotherapy response of patients with GBM |
title_full | Immunogenic cell death related risk model to delineate ferroptosis pathway and predict immunotherapy response of patients with GBM |
title_fullStr | Immunogenic cell death related risk model to delineate ferroptosis pathway and predict immunotherapy response of patients with GBM |
title_full_unstemmed | Immunogenic cell death related risk model to delineate ferroptosis pathway and predict immunotherapy response of patients with GBM |
title_short | Immunogenic cell death related risk model to delineate ferroptosis pathway and predict immunotherapy response of patients with GBM |
title_sort | immunogenic cell death related risk model to delineate ferroptosis pathway and predict immunotherapy response of patients with gbm |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554879/ https://www.ncbi.nlm.nih.gov/pubmed/36248827 http://dx.doi.org/10.3389/fimmu.2022.992855 |
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