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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...

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Autores principales: Feng, Songshan, Liang, Xisong, Li, Jing, Wang, Zeyu, Zhang, Hao, Dai, Ziyu, Luo, Peng, Liu, Zaoqu, Zhang, Jian, Xiao, Xiaoxiong, Cheng, Quan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
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.
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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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