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Is DNA Methylation a Ray of Sunshine in Predicting Meningioma Prognosis?

Meningioma is the most common intracranial tumor, and recent studies have drawn attention to the importance of further research on malignant meningioma. According to the World Health Organization (WHO) grading, meningioma is classified into 15 subtypes with three grades of malignancy. However, due t...

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Autores principales: Shen, Lu, Lin, Danfeng, Cheng, Lu, Tu, Sheng, Wu, Haijian, Xu, Weilin, Pan, Yuanbo, Wang, Xiaochen, Zhang, Jianmin, Shao, Anwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7498674/
https://www.ncbi.nlm.nih.gov/pubmed/33014773
http://dx.doi.org/10.3389/fonc.2020.01323
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author Shen, Lu
Lin, Danfeng
Cheng, Lu
Tu, Sheng
Wu, Haijian
Xu, Weilin
Pan, Yuanbo
Wang, Xiaochen
Zhang, Jianmin
Shao, Anwen
author_facet Shen, Lu
Lin, Danfeng
Cheng, Lu
Tu, Sheng
Wu, Haijian
Xu, Weilin
Pan, Yuanbo
Wang, Xiaochen
Zhang, Jianmin
Shao, Anwen
author_sort Shen, Lu
collection PubMed
description Meningioma is the most common intracranial tumor, and recent studies have drawn attention to the importance of further research on malignant meningioma. According to the World Health Organization (WHO) grading, meningioma is classified into 15 subtypes with three grades of malignancy. However, due to a lack of descriptions of molecular subtypes, genetic mutations, or other features, there were deficiencies in the WHO classification. The DNA methylation-based meningioma classification published in 2017 used DNA copy number analysis, mutation profiling, and RNA sequencing to distinguish six clinically relevant methylation classes, which contributed to a better prediction of tumor recurrence and prognosis. Further studies indicated that gene variation and gene mutations, such as those in neurofibromin 2 (NF2) and BRCA1, were related to the high WHO grade, malignant invasion, and recurrence. Among the mutant genes described above, some have been associated with differential DNA methylation. Herein, we searched for articles published in PubMed and Web of Science from January 2000 to May 2020 by entering the keywords “meningioma,” “methylation,” and “gene mutation,” and found a number of published studies that analyzed DNA methylation in meningiomas. In this review, we summarize the key findings of recent studies on methylation status and genetic mutations of meningioma and discuss the current deficits of the WHO grading. We also propose that a methylation-based meningioma classification could provide clues in the assessment of individual risk of meningioma recurrence, which is associated with clinical benefits for patients.
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spelling pubmed-74986742020-10-02 Is DNA Methylation a Ray of Sunshine in Predicting Meningioma Prognosis? Shen, Lu Lin, Danfeng Cheng, Lu Tu, Sheng Wu, Haijian Xu, Weilin Pan, Yuanbo Wang, Xiaochen Zhang, Jianmin Shao, Anwen Front Oncol Oncology Meningioma is the most common intracranial tumor, and recent studies have drawn attention to the importance of further research on malignant meningioma. According to the World Health Organization (WHO) grading, meningioma is classified into 15 subtypes with three grades of malignancy. However, due to a lack of descriptions of molecular subtypes, genetic mutations, or other features, there were deficiencies in the WHO classification. The DNA methylation-based meningioma classification published in 2017 used DNA copy number analysis, mutation profiling, and RNA sequencing to distinguish six clinically relevant methylation classes, which contributed to a better prediction of tumor recurrence and prognosis. Further studies indicated that gene variation and gene mutations, such as those in neurofibromin 2 (NF2) and BRCA1, were related to the high WHO grade, malignant invasion, and recurrence. Among the mutant genes described above, some have been associated with differential DNA methylation. Herein, we searched for articles published in PubMed and Web of Science from January 2000 to May 2020 by entering the keywords “meningioma,” “methylation,” and “gene mutation,” and found a number of published studies that analyzed DNA methylation in meningiomas. In this review, we summarize the key findings of recent studies on methylation status and genetic mutations of meningioma and discuss the current deficits of the WHO grading. We also propose that a methylation-based meningioma classification could provide clues in the assessment of individual risk of meningioma recurrence, which is associated with clinical benefits for patients. Frontiers Media S.A. 2020-09-04 /pmc/articles/PMC7498674/ /pubmed/33014773 http://dx.doi.org/10.3389/fonc.2020.01323 Text en Copyright © 2020 Shen, Lin, Cheng, Tu, Wu, Xu, Pan, Wang, Zhang and Shao. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Shen, Lu
Lin, Danfeng
Cheng, Lu
Tu, Sheng
Wu, Haijian
Xu, Weilin
Pan, Yuanbo
Wang, Xiaochen
Zhang, Jianmin
Shao, Anwen
Is DNA Methylation a Ray of Sunshine in Predicting Meningioma Prognosis?
title Is DNA Methylation a Ray of Sunshine in Predicting Meningioma Prognosis?
title_full Is DNA Methylation a Ray of Sunshine in Predicting Meningioma Prognosis?
title_fullStr Is DNA Methylation a Ray of Sunshine in Predicting Meningioma Prognosis?
title_full_unstemmed Is DNA Methylation a Ray of Sunshine in Predicting Meningioma Prognosis?
title_short Is DNA Methylation a Ray of Sunshine in Predicting Meningioma Prognosis?
title_sort is dna methylation a ray of sunshine in predicting meningioma prognosis?
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7498674/
https://www.ncbi.nlm.nih.gov/pubmed/33014773
http://dx.doi.org/10.3389/fonc.2020.01323
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