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The PANoptosis-related signature indicates the prognosis and tumor immune infiltration features of gliomas
BACKGROUND: Gliomas are the most common primary tumors of the central nervous system, with high heterogeneity and highly variable survival rates. Accurate classification and prognostic assessment are key to the selection of treatment strategies. One hallmark of the tumor is resistance to cell death....
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10369193/ https://www.ncbi.nlm.nih.gov/pubmed/37501725 http://dx.doi.org/10.3389/fnmol.2023.1198713 |
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author | Song, Jingjing Xu, Zekun Fan, Qingchen Sun, Yanfei Lin, Xiaoying |
author_facet | Song, Jingjing Xu, Zekun Fan, Qingchen Sun, Yanfei Lin, Xiaoying |
author_sort | Song, Jingjing |
collection | PubMed |
description | BACKGROUND: Gliomas are the most common primary tumors of the central nervous system, with high heterogeneity and highly variable survival rates. Accurate classification and prognostic assessment are key to the selection of treatment strategies. One hallmark of the tumor is resistance to cell death. PANoptosis, a novel mode of programmed cell death, has been frequently reported to be involved in the innate immunity associated with pathogen infection and played an important role in cancers. However, the intrinsic association of PANoptosis with glioma requires deeper investigation. METHODS: The genetics and expression of the 17 reported PANoptosome-related genes were analyzed in glioma. Based on these genes, patients were divided into two subtypes by consensus clustering analysis. After obtaining the differentially expressed genes between clusters, a prognostic model called PANopotic score was constructed after univariate Cox regression, LASSO regression, and multivariate Cox regression. The expression of the 5 genes included in the PANopotic score was also examined by qPCR in our cohort. The prognostic differences, clinical features, TME infiltration status, and immune characteristics between PANoptotic clusters and score groups were compared, some of which even extended to pan-cancer levels. RESULTS: Gene mutations, CNVs and altered gene expression of PANoptosome-related genes exist in gliomas. Two PANoptotic clusters were significantly different in prognosis, clinical features, immune characteristics, and mutation landscapes. The 5 genes included in the PANopotic score had significantly altered expression in glioma samples in our cohort. The high PANoptotic score group was inclined to show an unfavorable prognosis, lower tumor purity, worse molecular genetic signature, and distinct immune characteristics related to immunotherapy. The PANoptotic score was considered as an independent prognostic factor for glioma and showed superior prognostic assessment efficacy over several reported models. PANopotic score was included in the nomogram constructed for the potential clinical prognostic application. The associations of PANoptotic score with prognostic assessment and tumor immune characteristics were also reflected at the pan-cancer level. CONCLUSION: Molecular subtypes of glioma based on PANoptosome-related genes were proposed and PANoptotic score was constructed with different clinical characteristics of anti-tumor immunity. The potential intrinsic association between PANoptosis and glioma subtypes, prognosis, and immunotherapy was revealed. |
format | Online Article Text |
id | pubmed-10369193 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103691932023-07-27 The PANoptosis-related signature indicates the prognosis and tumor immune infiltration features of gliomas Song, Jingjing Xu, Zekun Fan, Qingchen Sun, Yanfei Lin, Xiaoying Front Mol Neurosci Molecular Neuroscience BACKGROUND: Gliomas are the most common primary tumors of the central nervous system, with high heterogeneity and highly variable survival rates. Accurate classification and prognostic assessment are key to the selection of treatment strategies. One hallmark of the tumor is resistance to cell death. PANoptosis, a novel mode of programmed cell death, has been frequently reported to be involved in the innate immunity associated with pathogen infection and played an important role in cancers. However, the intrinsic association of PANoptosis with glioma requires deeper investigation. METHODS: The genetics and expression of the 17 reported PANoptosome-related genes were analyzed in glioma. Based on these genes, patients were divided into two subtypes by consensus clustering analysis. After obtaining the differentially expressed genes between clusters, a prognostic model called PANopotic score was constructed after univariate Cox regression, LASSO regression, and multivariate Cox regression. The expression of the 5 genes included in the PANopotic score was also examined by qPCR in our cohort. The prognostic differences, clinical features, TME infiltration status, and immune characteristics between PANoptotic clusters and score groups were compared, some of which even extended to pan-cancer levels. RESULTS: Gene mutations, CNVs and altered gene expression of PANoptosome-related genes exist in gliomas. Two PANoptotic clusters were significantly different in prognosis, clinical features, immune characteristics, and mutation landscapes. The 5 genes included in the PANopotic score had significantly altered expression in glioma samples in our cohort. The high PANoptotic score group was inclined to show an unfavorable prognosis, lower tumor purity, worse molecular genetic signature, and distinct immune characteristics related to immunotherapy. The PANoptotic score was considered as an independent prognostic factor for glioma and showed superior prognostic assessment efficacy over several reported models. PANopotic score was included in the nomogram constructed for the potential clinical prognostic application. The associations of PANoptotic score with prognostic assessment and tumor immune characteristics were also reflected at the pan-cancer level. CONCLUSION: Molecular subtypes of glioma based on PANoptosome-related genes were proposed and PANoptotic score was constructed with different clinical characteristics of anti-tumor immunity. The potential intrinsic association between PANoptosis and glioma subtypes, prognosis, and immunotherapy was revealed. Frontiers Media S.A. 2023-07-12 /pmc/articles/PMC10369193/ /pubmed/37501725 http://dx.doi.org/10.3389/fnmol.2023.1198713 Text en Copyright © 2023 Song, Xu, Fan, Sun and Lin. 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 | Molecular Neuroscience Song, Jingjing Xu, Zekun Fan, Qingchen Sun, Yanfei Lin, Xiaoying The PANoptosis-related signature indicates the prognosis and tumor immune infiltration features of gliomas |
title | The PANoptosis-related signature indicates the prognosis and tumor immune infiltration features of gliomas |
title_full | The PANoptosis-related signature indicates the prognosis and tumor immune infiltration features of gliomas |
title_fullStr | The PANoptosis-related signature indicates the prognosis and tumor immune infiltration features of gliomas |
title_full_unstemmed | The PANoptosis-related signature indicates the prognosis and tumor immune infiltration features of gliomas |
title_short | The PANoptosis-related signature indicates the prognosis and tumor immune infiltration features of gliomas |
title_sort | panoptosis-related signature indicates the prognosis and tumor immune infiltration features of gliomas |
topic | Molecular Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10369193/ https://www.ncbi.nlm.nih.gov/pubmed/37501725 http://dx.doi.org/10.3389/fnmol.2023.1198713 |
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