A novel methylation signature predicts radiotherapy sensitivity in glioma
Abstract Glioblastoma (GBM) is the most common and malignant cancer of the central nervous system, and radiotherapy is widely applied in GBM treatment; however, the sensitivity to radiotherapy varies in different patients. To solve this clinical dilemma, a radiosensitivity prediction signature was c...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2020-11-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-020-77259-9 |
| _version_ | 1818421778858377216 |
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| author | Yuemei Feng Guanzhang Li Zhongfang Shi Xu Yan Zhiliang Wang Haoyu Jiang Ye Chen Renpeng Li You Zhai Yuanhao Chang Wei Zhang Fang Yuan |
| author_facet | Yuemei Feng Guanzhang Li Zhongfang Shi Xu Yan Zhiliang Wang Haoyu Jiang Ye Chen Renpeng Li You Zhai Yuanhao Chang Wei Zhang Fang Yuan |
| author_sort | Yuemei Feng |
| collection | DOAJ |
| description | Abstract Glioblastoma (GBM) is the most common and malignant cancer of the central nervous system, and radiotherapy is widely applied in GBM treatment; however, the sensitivity to radiotherapy varies in different patients. To solve this clinical dilemma, a radiosensitivity prediction signature was constructed in the present study based on genomic methylation. In total, 1044 primary GBM samples with clinical and methylation microarray data were involved in this study. LASSO-COX, GSVA, Kaplan–Meier survival curve analysis, and COX regression were performed for the construction and verification of predictive models. The R programming language was used as the main tool for statistical analysis and graphical work. Via the integration analysis of methylation and the survival data of primary GBM, a novel prognostic and radiosensitivity prediction signature was constructed. This signature was found to be stable in prognosis prediction in the TCGA and CGGA databases. The possible mechanism was also explored, and it was found that this signature is closely related to DNA repair functions. Most importantly, this signature could predict whether GBM patients could benefit from radiotherapy. In summary, a radiosensitivity prediction signature for GBM patients based on five methylated probes was constructed, and presents great potential for clinical application. |
| first_indexed | 2024-12-14T13:15:46Z |
| format | Article |
| id | doaj.art-cc0518cb292540428b7dba760c8cd2d2 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-12-14T13:15:46Z |
| publishDate | 2020-11-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-cc0518cb292540428b7dba760c8cd2d22022-12-21T23:00:04ZengNature PortfolioScientific Reports2045-23222020-11-0110111010.1038/s41598-020-77259-9A novel methylation signature predicts radiotherapy sensitivity in gliomaYuemei Feng0Guanzhang Li1Zhongfang Shi2Xu Yan3Zhiliang Wang4Haoyu Jiang5Ye Chen6Renpeng Li7You Zhai8Yuanhao Chang9Wei Zhang10Fang Yuan11Department of Pathophysiololgy, Beijing Neurosurgical Institute, Capital Medical UniversityDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical UniversityDepartment of Pathophysiololgy, Beijing Neurosurgical Institute, Capital Medical UniversityDepartment of Pathophysiololgy, Beijing Neurosurgical Institute, Capital Medical UniversityDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical UniversityDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical UniversityDepartment of Pathophysiololgy, Beijing Neurosurgical Institute, Capital Medical UniversityDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical UniversityDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical UniversityDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical UniversityDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical UniversityDepartment of Pathophysiololgy, Beijing Neurosurgical Institute, Capital Medical UniversityAbstract Glioblastoma (GBM) is the most common and malignant cancer of the central nervous system, and radiotherapy is widely applied in GBM treatment; however, the sensitivity to radiotherapy varies in different patients. To solve this clinical dilemma, a radiosensitivity prediction signature was constructed in the present study based on genomic methylation. In total, 1044 primary GBM samples with clinical and methylation microarray data were involved in this study. LASSO-COX, GSVA, Kaplan–Meier survival curve analysis, and COX regression were performed for the construction and verification of predictive models. The R programming language was used as the main tool for statistical analysis and graphical work. Via the integration analysis of methylation and the survival data of primary GBM, a novel prognostic and radiosensitivity prediction signature was constructed. This signature was found to be stable in prognosis prediction in the TCGA and CGGA databases. The possible mechanism was also explored, and it was found that this signature is closely related to DNA repair functions. Most importantly, this signature could predict whether GBM patients could benefit from radiotherapy. In summary, a radiosensitivity prediction signature for GBM patients based on five methylated probes was constructed, and presents great potential for clinical application.https://doi.org/10.1038/s41598-020-77259-9 |
| spellingShingle | Yuemei Feng Guanzhang Li Zhongfang Shi Xu Yan Zhiliang Wang Haoyu Jiang Ye Chen Renpeng Li You Zhai Yuanhao Chang Wei Zhang Fang Yuan A novel methylation signature predicts radiotherapy sensitivity in glioma Scientific Reports |
| title | A novel methylation signature predicts radiotherapy sensitivity in glioma |
| title_full | A novel methylation signature predicts radiotherapy sensitivity in glioma |
| title_fullStr | A novel methylation signature predicts radiotherapy sensitivity in glioma |
| title_full_unstemmed | A novel methylation signature predicts radiotherapy sensitivity in glioma |
| title_short | A novel methylation signature predicts radiotherapy sensitivity in glioma |
| title_sort | novel methylation signature predicts radiotherapy sensitivity in glioma |
| url | https://doi.org/10.1038/s41598-020-77259-9 |
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