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Comprehensive analysis of pyroptosis‐related gene signatures for glioblastoma immune microenvironment and target therapy

Glioblastoma (GBM) is a malignant brain tumour, but its subtypes (mesenchymal, classical, and proneural) show different prognoses. Pyroptosis is a programmed cell death relating to tumour progression, but its association with GBM is poorly understood. In this work, we collected 73 GBM samples (the X...

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Autores principales: Wang, Zeyu, Dai, Ziyu, Zhang, Hao, Zhang, Nan, Liang, Xisong, Peng, Luo, Zhang, Jian, Liu, Zaoqu, Peng, Yun, Cheng, Quan, Liu, Zhixiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9977674/
https://www.ncbi.nlm.nih.gov/pubmed/36681858
http://dx.doi.org/10.1111/cpr.13376
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author Wang, Zeyu
Dai, Ziyu
Zhang, Hao
Zhang, Nan
Liang, Xisong
Peng, Luo
Zhang, Jian
Liu, Zaoqu
Peng, Yun
Cheng, Quan
Liu, Zhixiong
author_facet Wang, Zeyu
Dai, Ziyu
Zhang, Hao
Zhang, Nan
Liang, Xisong
Peng, Luo
Zhang, Jian
Liu, Zaoqu
Peng, Yun
Cheng, Quan
Liu, Zhixiong
author_sort Wang, Zeyu
collection PubMed
description Glioblastoma (GBM) is a malignant brain tumour, but its subtypes (mesenchymal, classical, and proneural) show different prognoses. Pyroptosis is a programmed cell death relating to tumour progression, but its association with GBM is poorly understood. In this work, we collected 73 GBM samples (the Xiangya GBM cohort) and reported that pyroptosis involves tumour‐microglia interaction and tumour response to interferon‐gamma. GBM samples were grouped into different subtypes, cluster 1 and cluster 2, based on pyroptosis‐related genes. Cluster 1 samples manifested a worse prognosis and had a more complicated immune landscape than cluster 2 samples. Single‐cell RNA‐seq data analysis supported that cluster 1 samples respond to interferon‐gamma more actively. Moreover, the machine learning algorithm screened several potential compounds, including nutlin‐3, for cluster 1 samples as a novel treatment. In vitro experiments supported that cluster 1 cell line, T98G, is more sensitive to nutlin‐3 than cluster 2 cell line, LN229. Nutlin‐3 can trigger oxidative stress by increasing DHCR24 expression. Moreover, pyroptosis‐resistant genes were upregulated in LN229, which may participate against nutlin‐3. Therefore, we hypothesis that GBM may be able to upregulate pyroptosis resistant related genes to against nutlin‐3‐triggered cell death. In summary, we conclude that pyroptosis highly associates with GBM progression, tumour immune landscape, and tumour response to nutlin‐3.
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spelling pubmed-99776742023-03-03 Comprehensive analysis of pyroptosis‐related gene signatures for glioblastoma immune microenvironment and target therapy Wang, Zeyu Dai, Ziyu Zhang, Hao Zhang, Nan Liang, Xisong Peng, Luo Zhang, Jian Liu, Zaoqu Peng, Yun Cheng, Quan Liu, Zhixiong Cell Prolif Original Articles Glioblastoma (GBM) is a malignant brain tumour, but its subtypes (mesenchymal, classical, and proneural) show different prognoses. Pyroptosis is a programmed cell death relating to tumour progression, but its association with GBM is poorly understood. In this work, we collected 73 GBM samples (the Xiangya GBM cohort) and reported that pyroptosis involves tumour‐microglia interaction and tumour response to interferon‐gamma. GBM samples were grouped into different subtypes, cluster 1 and cluster 2, based on pyroptosis‐related genes. Cluster 1 samples manifested a worse prognosis and had a more complicated immune landscape than cluster 2 samples. Single‐cell RNA‐seq data analysis supported that cluster 1 samples respond to interferon‐gamma more actively. Moreover, the machine learning algorithm screened several potential compounds, including nutlin‐3, for cluster 1 samples as a novel treatment. In vitro experiments supported that cluster 1 cell line, T98G, is more sensitive to nutlin‐3 than cluster 2 cell line, LN229. Nutlin‐3 can trigger oxidative stress by increasing DHCR24 expression. Moreover, pyroptosis‐resistant genes were upregulated in LN229, which may participate against nutlin‐3. Therefore, we hypothesis that GBM may be able to upregulate pyroptosis resistant related genes to against nutlin‐3‐triggered cell death. In summary, we conclude that pyroptosis highly associates with GBM progression, tumour immune landscape, and tumour response to nutlin‐3. John Wiley and Sons Inc. 2023-01-21 /pmc/articles/PMC9977674/ /pubmed/36681858 http://dx.doi.org/10.1111/cpr.13376 Text en © 2023 The Authors. Cell Proliferation published by Beijing Institute for Stem Cell and Regenerative Medicine and John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Wang, Zeyu
Dai, Ziyu
Zhang, Hao
Zhang, Nan
Liang, Xisong
Peng, Luo
Zhang, Jian
Liu, Zaoqu
Peng, Yun
Cheng, Quan
Liu, Zhixiong
Comprehensive analysis of pyroptosis‐related gene signatures for glioblastoma immune microenvironment and target therapy
title Comprehensive analysis of pyroptosis‐related gene signatures for glioblastoma immune microenvironment and target therapy
title_full Comprehensive analysis of pyroptosis‐related gene signatures for glioblastoma immune microenvironment and target therapy
title_fullStr Comprehensive analysis of pyroptosis‐related gene signatures for glioblastoma immune microenvironment and target therapy
title_full_unstemmed Comprehensive analysis of pyroptosis‐related gene signatures for glioblastoma immune microenvironment and target therapy
title_short Comprehensive analysis of pyroptosis‐related gene signatures for glioblastoma immune microenvironment and target therapy
title_sort comprehensive analysis of pyroptosis‐related gene signatures for glioblastoma immune microenvironment and target therapy
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9977674/
https://www.ncbi.nlm.nih.gov/pubmed/36681858
http://dx.doi.org/10.1111/cpr.13376
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