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A novel cuproptosis-related gene signature to predict prognosis in Glioma

Glioma is primary brain tumour with a poor prognosis. Metabolic reprogramming is a hallmark of glioma, and is critical in the development of antiglioma agents and glioma therapy. Cuproptosis is a novel form of cell death mediated by protein lipidation and highly associated with mitochondrial metabol...

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Autores principales: Zhang, Mengyang, Liu, Xiaobai, Wang, Di, Ruan, Xuelei, Wang, Ping, Liu, Libo, Xue, Yixue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10012466/
https://www.ncbi.nlm.nih.gov/pubmed/36915038
http://dx.doi.org/10.1186/s12885-023-10714-8
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author Zhang, Mengyang
Liu, Xiaobai
Wang, Di
Ruan, Xuelei
Wang, Ping
Liu, Libo
Xue, Yixue
author_facet Zhang, Mengyang
Liu, Xiaobai
Wang, Di
Ruan, Xuelei
Wang, Ping
Liu, Libo
Xue, Yixue
author_sort Zhang, Mengyang
collection PubMed
description Glioma is primary brain tumour with a poor prognosis. Metabolic reprogramming is a hallmark of glioma, and is critical in the development of antiglioma agents and glioma therapy. Cuproptosis is a novel form of cell death mediated by protein lipidation and highly associated with mitochondrial metabolism. However, the clinical impact of cuproptosis-related genes (CRGs) in glioma remains largely unknown. The purpose of this study is to create a new CRGs signature that can be used to predict survival and immunotherapy in glioma patients. LASSO regression analysis was applied to establish prognostic gene signatures. Furthermore, a CRGs signature-based nomogram was developed and demonstrated good predictive potential. We also analyzed the relationship of CRGs and immune infiltration and the correlation with the pathological grade of glioma. Finally, we explored the miRNA that may regulate cuproptosis-related gene FDX1. We found that miR-606 was markedly downregulated in GBM, overexpression of miR-606 can significantly inhibit aerobic glycolysis and proliferation of GBM cells. FDX1 was upregulated in GBM, knockdown of FDX1 significantly inhibit aerobic glycolysis and proliferation of GBM cells. And luciferase assay was used to verified that miR-606 binds to and regulates FDX1 mRNA. These results provide a basis for further exploring the biological mechanisms of cuproptosis. This study may provide new potential therapeutic perspectives for patients with glioma. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-10714-8.
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spelling pubmed-100124662023-03-15 A novel cuproptosis-related gene signature to predict prognosis in Glioma Zhang, Mengyang Liu, Xiaobai Wang, Di Ruan, Xuelei Wang, Ping Liu, Libo Xue, Yixue BMC Cancer Research Glioma is primary brain tumour with a poor prognosis. Metabolic reprogramming is a hallmark of glioma, and is critical in the development of antiglioma agents and glioma therapy. Cuproptosis is a novel form of cell death mediated by protein lipidation and highly associated with mitochondrial metabolism. However, the clinical impact of cuproptosis-related genes (CRGs) in glioma remains largely unknown. The purpose of this study is to create a new CRGs signature that can be used to predict survival and immunotherapy in glioma patients. LASSO regression analysis was applied to establish prognostic gene signatures. Furthermore, a CRGs signature-based nomogram was developed and demonstrated good predictive potential. We also analyzed the relationship of CRGs and immune infiltration and the correlation with the pathological grade of glioma. Finally, we explored the miRNA that may regulate cuproptosis-related gene FDX1. We found that miR-606 was markedly downregulated in GBM, overexpression of miR-606 can significantly inhibit aerobic glycolysis and proliferation of GBM cells. FDX1 was upregulated in GBM, knockdown of FDX1 significantly inhibit aerobic glycolysis and proliferation of GBM cells. And luciferase assay was used to verified that miR-606 binds to and regulates FDX1 mRNA. These results provide a basis for further exploring the biological mechanisms of cuproptosis. This study may provide new potential therapeutic perspectives for patients with glioma. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-10714-8. BioMed Central 2023-03-13 /pmc/articles/PMC10012466/ /pubmed/36915038 http://dx.doi.org/10.1186/s12885-023-10714-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhang, Mengyang
Liu, Xiaobai
Wang, Di
Ruan, Xuelei
Wang, Ping
Liu, Libo
Xue, Yixue
A novel cuproptosis-related gene signature to predict prognosis in Glioma
title A novel cuproptosis-related gene signature to predict prognosis in Glioma
title_full A novel cuproptosis-related gene signature to predict prognosis in Glioma
title_fullStr A novel cuproptosis-related gene signature to predict prognosis in Glioma
title_full_unstemmed A novel cuproptosis-related gene signature to predict prognosis in Glioma
title_short A novel cuproptosis-related gene signature to predict prognosis in Glioma
title_sort novel cuproptosis-related gene signature to predict prognosis in glioma
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10012466/
https://www.ncbi.nlm.nih.gov/pubmed/36915038
http://dx.doi.org/10.1186/s12885-023-10714-8
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