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Development and validation of a pyroptosis-related genes signature for risk stratification in gliomas

Background: Glioma is a highly heterogeneous disease, causing the prognostic prediction a challenge. Pyroptosis, a programmed cell death mediated by gasdermin (GSDM), is characterized by cell swelling and the release of inflammatory factors. Pyroptosis occurs in several types of tumor cells, includi...

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Autores principales: Sun, Penggang, Wang, Xinyu, Zhong, Junzhe, Yu, Daohan, Xuan, Hanwen, Xu, Tianye, Song, Dan, Yang, Changxiao, Wang, Pandeng, Liu, Yuxiang, Meng, Xiangqi, Cai, Jinquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9968976/
https://www.ncbi.nlm.nih.gov/pubmed/36861130
http://dx.doi.org/10.3389/fgene.2023.1087563
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author Sun, Penggang
Wang, Xinyu
Zhong, Junzhe
Yu, Daohan
Xuan, Hanwen
Xu, Tianye
Song, Dan
Yang, Changxiao
Wang, Pandeng
Liu, Yuxiang
Meng, Xiangqi
Cai, Jinquan
author_facet Sun, Penggang
Wang, Xinyu
Zhong, Junzhe
Yu, Daohan
Xuan, Hanwen
Xu, Tianye
Song, Dan
Yang, Changxiao
Wang, Pandeng
Liu, Yuxiang
Meng, Xiangqi
Cai, Jinquan
author_sort Sun, Penggang
collection PubMed
description Background: Glioma is a highly heterogeneous disease, causing the prognostic prediction a challenge. Pyroptosis, a programmed cell death mediated by gasdermin (GSDM), is characterized by cell swelling and the release of inflammatory factors. Pyroptosis occurs in several types of tumor cells, including gliomas. However, the value of pyroptosis-related genes (PRGs) in the prognosis of glioma remains to be further clarified. Methods: In this study, mRNA expression profiles and clinical data of glioma patients were acquired from TCGA and CGGA databases, and one hundred and eighteen PRGs were obtained from the Molecular Signatures Database and GeneCards. Then, consensus clustering analysis was performed to cluster glioma patients. The least absolute shrinkage and selection operator (LASSO) Cox regression model was used to establish a polygenic signature. Functional verification of the pyroptosis-related gene GSDMD was achieved by gene knockdown and western blotting. Moreover, the immune infiltration status between two different risk groups were analyzed through the “gsva” R package. Results: Our results demonstrated that the majority of PRGs (82.2%) were differentially expressed between lower-grade gliomas (LGG) and glioblastoma (GBM) in the TCGA cohort. In univariate Cox regression analysis, eighty-three PRGs were shown to be associated with overall survival (OS). A five-gene signature was constructed to divide patients into two risk groups. Compared with patients in the low-risk group, patients in the high-risk group had obviously shorter OS (p < 0.001). Also, we found that the high-risk group showed a higher infiltrating score of immune cells and immune-related functions. Risk score was an independent predictor of OS (HR > 1, p < 0.001). Furthermore, knockdown of GSDMD decreased the expression of IL-1β and cleaved caspase-1. Conclusion: Our study constructed a new PRGs signature, which can be used to predict the prognosis of glioma patients. Targeting pyroptosis might serve as a potential therapeutic strategy for glioma.
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spelling pubmed-99689762023-02-28 Development and validation of a pyroptosis-related genes signature for risk stratification in gliomas Sun, Penggang Wang, Xinyu Zhong, Junzhe Yu, Daohan Xuan, Hanwen Xu, Tianye Song, Dan Yang, Changxiao Wang, Pandeng Liu, Yuxiang Meng, Xiangqi Cai, Jinquan Front Genet Genetics Background: Glioma is a highly heterogeneous disease, causing the prognostic prediction a challenge. Pyroptosis, a programmed cell death mediated by gasdermin (GSDM), is characterized by cell swelling and the release of inflammatory factors. Pyroptosis occurs in several types of tumor cells, including gliomas. However, the value of pyroptosis-related genes (PRGs) in the prognosis of glioma remains to be further clarified. Methods: In this study, mRNA expression profiles and clinical data of glioma patients were acquired from TCGA and CGGA databases, and one hundred and eighteen PRGs were obtained from the Molecular Signatures Database and GeneCards. Then, consensus clustering analysis was performed to cluster glioma patients. The least absolute shrinkage and selection operator (LASSO) Cox regression model was used to establish a polygenic signature. Functional verification of the pyroptosis-related gene GSDMD was achieved by gene knockdown and western blotting. Moreover, the immune infiltration status between two different risk groups were analyzed through the “gsva” R package. Results: Our results demonstrated that the majority of PRGs (82.2%) were differentially expressed between lower-grade gliomas (LGG) and glioblastoma (GBM) in the TCGA cohort. In univariate Cox regression analysis, eighty-three PRGs were shown to be associated with overall survival (OS). A five-gene signature was constructed to divide patients into two risk groups. Compared with patients in the low-risk group, patients in the high-risk group had obviously shorter OS (p < 0.001). Also, we found that the high-risk group showed a higher infiltrating score of immune cells and immune-related functions. Risk score was an independent predictor of OS (HR > 1, p < 0.001). Furthermore, knockdown of GSDMD decreased the expression of IL-1β and cleaved caspase-1. Conclusion: Our study constructed a new PRGs signature, which can be used to predict the prognosis of glioma patients. Targeting pyroptosis might serve as a potential therapeutic strategy for glioma. Frontiers Media S.A. 2023-02-13 /pmc/articles/PMC9968976/ /pubmed/36861130 http://dx.doi.org/10.3389/fgene.2023.1087563 Text en Copyright © 2023 Sun, Wang, Zhong, Yu, Xuan, Xu, Song, Yang, Wang, Liu, Meng and Cai. 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 Genetics
Sun, Penggang
Wang, Xinyu
Zhong, Junzhe
Yu, Daohan
Xuan, Hanwen
Xu, Tianye
Song, Dan
Yang, Changxiao
Wang, Pandeng
Liu, Yuxiang
Meng, Xiangqi
Cai, Jinquan
Development and validation of a pyroptosis-related genes signature for risk stratification in gliomas
title Development and validation of a pyroptosis-related genes signature for risk stratification in gliomas
title_full Development and validation of a pyroptosis-related genes signature for risk stratification in gliomas
title_fullStr Development and validation of a pyroptosis-related genes signature for risk stratification in gliomas
title_full_unstemmed Development and validation of a pyroptosis-related genes signature for risk stratification in gliomas
title_short Development and validation of a pyroptosis-related genes signature for risk stratification in gliomas
title_sort development and validation of a pyroptosis-related genes signature for risk stratification in gliomas
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9968976/
https://www.ncbi.nlm.nih.gov/pubmed/36861130
http://dx.doi.org/10.3389/fgene.2023.1087563
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