A novel cuproptosis-related gene signature to predict prognosis in Glioma
Abstract 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 mitochondria...
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Format: | Article |
Language: | English |
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BMC
2023-03-01
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Series: | BMC Cancer |
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Online Access: | https://doi.org/10.1186/s12885-023-10714-8 |
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author | Mengyang Zhang Xiaobai Liu Di Wang Xuelei Ruan Ping Wang Libo Liu Yixue Xue |
author_facet | Mengyang Zhang Xiaobai Liu Di Wang Xuelei Ruan Ping Wang Libo Liu Yixue Xue |
author_sort | Mengyang Zhang |
collection | DOAJ |
description | Abstract 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. |
first_indexed | 2024-04-09T22:52:43Z |
format | Article |
id | doaj.art-4b6c6d42d03d44bba1343e50a9c18aed |
institution | Directory Open Access Journal |
issn | 1471-2407 |
language | English |
last_indexed | 2024-04-09T22:52:43Z |
publishDate | 2023-03-01 |
publisher | BMC |
record_format | Article |
series | BMC Cancer |
spelling | doaj.art-4b6c6d42d03d44bba1343e50a9c18aed2023-03-22T11:34:24ZengBMCBMC Cancer1471-24072023-03-0123111510.1186/s12885-023-10714-8A novel cuproptosis-related gene signature to predict prognosis in GliomaMengyang Zhang0Xiaobai Liu1Di Wang2Xuelei Ruan3Ping Wang4Libo Liu5Yixue Xue6Department of Neurobiology, School of Life Sciences, China Medical UniversityKey Laboratory of Neuro-Oncology in Liaoning ProvinceKey Laboratory of Neuro-Oncology in Liaoning ProvinceDepartment of Neurobiology, School of Life Sciences, China Medical UniversityDepartment of Neurobiology, School of Life Sciences, China Medical UniversityDepartment of Neurobiology, School of Life Sciences, China Medical UniversityDepartment of Neurobiology, School of Life Sciences, China Medical UniversityAbstract 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.https://doi.org/10.1186/s12885-023-10714-8GliomaCuproptosisPrognostic modelProliferation |
spellingShingle | Mengyang Zhang Xiaobai Liu Di Wang Xuelei Ruan Ping Wang Libo Liu Yixue Xue A novel cuproptosis-related gene signature to predict prognosis in Glioma BMC Cancer Glioma Cuproptosis Prognostic model Proliferation |
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 | Glioma Cuproptosis Prognostic model Proliferation |
url | https://doi.org/10.1186/s12885-023-10714-8 |
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