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...

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Autores principales:	Yuemei Feng, Guanzhang Li, Zhongfang Shi, Xu Yan, Zhiliang Wang, Haoyu Jiang, Ye Chen, Renpeng Li, You Zhai, Yuanhao Chang, Wei Zhang, Fang Yuan
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/cc0518cb292540428b7dba760c8cd2d2
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spelling	oai:doaj.org-article:cc0518cb292540428b7dba760c8cd2d22021-12-02T16:09:10ZA novel methylation signature predicts radiotherapy sensitivity in glioma10.1038/s41598-020-77259-92045-2322https://doaj.org/article/cc0518cb292540428b7dba760c8cd2d22020-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-77259-9https://doaj.org/toc/2045-2322Abstract 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.Yuemei FengGuanzhang LiZhongfang ShiXu YanZhiliang WangHaoyu JiangYe ChenRenpeng LiYou ZhaiYuanhao ChangWei ZhangFang YuanNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-10 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q 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
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.
format	article
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
title	A novel methylation signature predicts radiotherapy sensitivity in glioma
title_short	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_sort	novel methylation signature predicts radiotherapy sensitivity in glioma
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/cc0518cb292540428b7dba760c8cd2d2
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A novel methylation signature predicts radiotherapy sensitivity in glioma

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