Comprehensive analysis: Necroptosis-related lncRNAs can effectively predict the prognosis of glioma patients
Glioma is the most common and fatal primary brain tumor in humans. A significant role for long non-coding RNA (lncRNA) in glioma is the regulation of gene expression and chromatin recombination, and immunotherapy is a promising cancer treatment. Therefore, it is necessary to identify necroptosis-rel...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-08-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2022.929233/full |
| _version_ | 1818484657113530368 |
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| author | Desheng Chen Chao Dou Haiyu Liu Binshun Xu Bowen Hu Liangwen Kuang Jiawei Yao Yan Zhao Shan Yu Yang Li Fuqing Wang Mian Guo |
| author_facet | Desheng Chen Chao Dou Haiyu Liu Binshun Xu Bowen Hu Liangwen Kuang Jiawei Yao Yan Zhao Shan Yu Yang Li Fuqing Wang Mian Guo |
| author_sort | Desheng Chen |
| collection | DOAJ |
| description | Glioma is the most common and fatal primary brain tumor in humans. A significant role for long non-coding RNA (lncRNA) in glioma is the regulation of gene expression and chromatin recombination, and immunotherapy is a promising cancer treatment. Therefore, it is necessary to identify necroptosis-related lncRNAs in glioma. In this study, we collected and evaluated the RNA-sequencing (RNA-seq) data from The Cancer Genome Atlas (TCGA, https://www.ncbi.nlm.nih.gov/, Data Release 32.0, March 29, 2022) glioma patients, and necroptosis-related lncRNAs were screened. Cox regression and least absolute shrinkage and selection operator (LASSO) analysis were performed to construct a risk score formula to explore the different overall survival between high- and low-risk groups in TCGA. Gene Ontology (GO) and pathway enrichment analysis (Kyoto Encyclopedia of Genes and Genomes (KEGG)) were performed to identify the function of screened genes. The immune correlation analysis showed that various immune cells and pathways positively associated with a patient’s risk score. Furthermore, the analysis of the tumor microenvironment indicated many immune cells and stromal cells in the tumor microenvironment of glioma patients. Six necroptosis-related lncRNAs were concerned to be involved in survival and adopted to construct the risk score formula. The results showed that patients with high-risk scores held poor survival in TCGA. Compared with current clinical data, the area under the curve (AUC) of different years suggested that the formula had better predictive power. We verified that necroptosis-related lncRNAs play a significant role in the occurrence and development of glioma, and the constructed risk model can reasonably predict the prognosis of glioma. The results of these studies added some valuable guidance to understanding glioma pathogenesis and treatment, and these necroptosis-related lncRNAs may be used as biomarkers and therapeutic targets for glioma prevention. |
| first_indexed | 2024-12-10T15:58:00Z |
| format | Article |
| id | doaj.art-39f082e2559245ac830b145de86c5ee1 |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-12-10T15:58:00Z |
| publishDate | 2022-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj.art-39f082e2559245ac830b145de86c5ee12022-12-22T01:42:34ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2022-08-011210.3389/fonc.2022.929233929233Comprehensive analysis: Necroptosis-related lncRNAs can effectively predict the prognosis of glioma patientsDesheng Chen0Chao Dou1Haiyu Liu2Binshun Xu3Bowen Hu4Liangwen Kuang5Jiawei Yao6Yan Zhao7Shan Yu8Yang Li9Fuqing Wang10Mian Guo11Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Heilongjiang, ChinaDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Heilongjiang, ChinaDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Heilongjiang, ChinaDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Heilongjiang, ChinaDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Heilongjiang, ChinaDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Heilongjiang, ChinaDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Heilongjiang, ChinaDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Heilongjiang, ChinaDepartment of Pathology, The Second Affiliated Hospital of Harbin Medical University, Heilongjiang, ChinaDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Heilongjiang, ChinaChina Pharmaceutical Enterprises Association, Heilongjiang, ChinaDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Heilongjiang, ChinaGlioma is the most common and fatal primary brain tumor in humans. A significant role for long non-coding RNA (lncRNA) in glioma is the regulation of gene expression and chromatin recombination, and immunotherapy is a promising cancer treatment. Therefore, it is necessary to identify necroptosis-related lncRNAs in glioma. In this study, we collected and evaluated the RNA-sequencing (RNA-seq) data from The Cancer Genome Atlas (TCGA, https://www.ncbi.nlm.nih.gov/, Data Release 32.0, March 29, 2022) glioma patients, and necroptosis-related lncRNAs were screened. Cox regression and least absolute shrinkage and selection operator (LASSO) analysis were performed to construct a risk score formula to explore the different overall survival between high- and low-risk groups in TCGA. Gene Ontology (GO) and pathway enrichment analysis (Kyoto Encyclopedia of Genes and Genomes (KEGG)) were performed to identify the function of screened genes. The immune correlation analysis showed that various immune cells and pathways positively associated with a patient’s risk score. Furthermore, the analysis of the tumor microenvironment indicated many immune cells and stromal cells in the tumor microenvironment of glioma patients. Six necroptosis-related lncRNAs were concerned to be involved in survival and adopted to construct the risk score formula. The results showed that patients with high-risk scores held poor survival in TCGA. Compared with current clinical data, the area under the curve (AUC) of different years suggested that the formula had better predictive power. We verified that necroptosis-related lncRNAs play a significant role in the occurrence and development of glioma, and the constructed risk model can reasonably predict the prognosis of glioma. The results of these studies added some valuable guidance to understanding glioma pathogenesis and treatment, and these necroptosis-related lncRNAs may be used as biomarkers and therapeutic targets for glioma prevention.https://www.frontiersin.org/articles/10.3389/fonc.2022.929233/fullgliomasimmuneTEMbiomarkernecroptosis-related lncRNAs |
| spellingShingle | Desheng Chen Chao Dou Haiyu Liu Binshun Xu Bowen Hu Liangwen Kuang Jiawei Yao Yan Zhao Shan Yu Yang Li Fuqing Wang Mian Guo Comprehensive analysis: Necroptosis-related lncRNAs can effectively predict the prognosis of glioma patients Frontiers in Oncology gliomas immune TEM biomarker necroptosis-related lncRNAs |
| title | Comprehensive analysis: Necroptosis-related lncRNAs can effectively predict the prognosis of glioma patients |
| title_full | Comprehensive analysis: Necroptosis-related lncRNAs can effectively predict the prognosis of glioma patients |
| title_fullStr | Comprehensive analysis: Necroptosis-related lncRNAs can effectively predict the prognosis of glioma patients |
| title_full_unstemmed | Comprehensive analysis: Necroptosis-related lncRNAs can effectively predict the prognosis of glioma patients |
| title_short | Comprehensive analysis: Necroptosis-related lncRNAs can effectively predict the prognosis of glioma patients |
| title_sort | comprehensive analysis necroptosis related lncrnas can effectively predict the prognosis of glioma patients |
| topic | gliomas immune TEM biomarker necroptosis-related lncRNAs |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2022.929233/full |
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