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The Identification of Necroptosis-Related Subtypes, the Construction of a Prognostic Model, and the Characterization of the Tumor Microenvironment in Gliomas
Necroptosis is a recently discovered form of cell death that plays a vital role in the progression of cancer, the spread of metastases, and the immunologic response to tumors. Due to the dual role of necrotic apoptotic processes in tumor pathogenesis and the heterogeneity of gliomas, the function of...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9231435/ https://www.ncbi.nlm.nih.gov/pubmed/35756610 http://dx.doi.org/10.3389/fonc.2022.899443 |
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author | Ba, Yueyang Su, Jiahao Gao, Shuangqi Liao, Zhi Wu, Zhimin Cao, Chengan Liang, Chaofeng Gong, Jin Guo, Ying |
author_facet | Ba, Yueyang Su, Jiahao Gao, Shuangqi Liao, Zhi Wu, Zhimin Cao, Chengan Liang, Chaofeng Gong, Jin Guo, Ying |
author_sort | Ba, Yueyang |
collection | PubMed |
description | Necroptosis is a recently discovered form of cell death that plays a vital role in the progression of cancer, the spread of metastases, and the immunologic response to tumors. Due to the dual role of necrotic apoptotic processes in tumor pathogenesis and the heterogeneity of gliomas, the function of necroptosis in the glioma microenvironment is still poorly understood. We characterized the expression of necroptosis-related genes (NRGs) within glioma samples at both the genetic and transcriptional levels, identifying three distinct subtypes. Additionally, we constructed a risk score, which is capable of accurately predicting patient prognosis, correlates with tumor mutation burden (TMB), tumor stem cell index (CSC), immune checkpoints, and predicts tumor drug sensitivity. To facilitate its application in the clinic, we developed a nomogram and demonstrated that it predicts the prognosis of glioma patients with good accuracy and reliability using multiple datasets. We examined the function of necroptosis in the tumor microenvironment (TME) and the prognosis of gliomas, which may be useful for guiding individualized treatment plans for gliomas targeting necroptosis. |
format | Online Article Text |
id | pubmed-9231435 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92314352022-06-25 The Identification of Necroptosis-Related Subtypes, the Construction of a Prognostic Model, and the Characterization of the Tumor Microenvironment in Gliomas Ba, Yueyang Su, Jiahao Gao, Shuangqi Liao, Zhi Wu, Zhimin Cao, Chengan Liang, Chaofeng Gong, Jin Guo, Ying Front Oncol Oncology Necroptosis is a recently discovered form of cell death that plays a vital role in the progression of cancer, the spread of metastases, and the immunologic response to tumors. Due to the dual role of necrotic apoptotic processes in tumor pathogenesis and the heterogeneity of gliomas, the function of necroptosis in the glioma microenvironment is still poorly understood. We characterized the expression of necroptosis-related genes (NRGs) within glioma samples at both the genetic and transcriptional levels, identifying three distinct subtypes. Additionally, we constructed a risk score, which is capable of accurately predicting patient prognosis, correlates with tumor mutation burden (TMB), tumor stem cell index (CSC), immune checkpoints, and predicts tumor drug sensitivity. To facilitate its application in the clinic, we developed a nomogram and demonstrated that it predicts the prognosis of glioma patients with good accuracy and reliability using multiple datasets. We examined the function of necroptosis in the tumor microenvironment (TME) and the prognosis of gliomas, which may be useful for guiding individualized treatment plans for gliomas targeting necroptosis. Frontiers Media S.A. 2022-06-02 /pmc/articles/PMC9231435/ /pubmed/35756610 http://dx.doi.org/10.3389/fonc.2022.899443 Text en Copyright © 2022 Ba, Su, Gao, Liao, Wu, Cao, Liang, Gong and Guo 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 Ba, Yueyang Su, Jiahao Gao, Shuangqi Liao, Zhi Wu, Zhimin Cao, Chengan Liang, Chaofeng Gong, Jin Guo, Ying The Identification of Necroptosis-Related Subtypes, the Construction of a Prognostic Model, and the Characterization of the Tumor Microenvironment in Gliomas |
title | The Identification of Necroptosis-Related Subtypes, the Construction of a Prognostic Model, and the Characterization of the Tumor Microenvironment in Gliomas |
title_full | The Identification of Necroptosis-Related Subtypes, the Construction of a Prognostic Model, and the Characterization of the Tumor Microenvironment in Gliomas |
title_fullStr | The Identification of Necroptosis-Related Subtypes, the Construction of a Prognostic Model, and the Characterization of the Tumor Microenvironment in Gliomas |
title_full_unstemmed | The Identification of Necroptosis-Related Subtypes, the Construction of a Prognostic Model, and the Characterization of the Tumor Microenvironment in Gliomas |
title_short | The Identification of Necroptosis-Related Subtypes, the Construction of a Prognostic Model, and the Characterization of the Tumor Microenvironment in Gliomas |
title_sort | identification of necroptosis-related subtypes, the construction of a prognostic model, and the characterization of the tumor microenvironment in gliomas |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9231435/ https://www.ncbi.nlm.nih.gov/pubmed/35756610 http://dx.doi.org/10.3389/fonc.2022.899443 |
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