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Identification of Critical m(6)A RNA Methylation Regulators with Prognostic Value in Lower-Grade Glioma
Increasing evidences have revealed that N(6)-methyladenosine (m(6)A) RNA methylation regulators participate in the tumorigenesis and development of multiple tumors. So far, there has been little comprehension about the effects of m(6)A RNA methylation regulators on lower-grade gliomas (LGG). Here, w...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8205593/ https://www.ncbi.nlm.nih.gov/pubmed/34212046 http://dx.doi.org/10.1155/2021/9959212 |
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author | Zheng, Jianglin Wang, Xuan Qiu, Yue Wang, Minjie Yu, Hao Zhou, Zijie Wu, Zhipeng Jiang, Xiaobing |
author_facet | Zheng, Jianglin Wang, Xuan Qiu, Yue Wang, Minjie Yu, Hao Zhou, Zijie Wu, Zhipeng Jiang, Xiaobing |
author_sort | Zheng, Jianglin |
collection | PubMed |
description | Increasing evidences have revealed that N(6)-methyladenosine (m(6)A) RNA methylation regulators participate in the tumorigenesis and development of multiple tumors. So far, there has been little comprehension about the effects of m(6)A RNA methylation regulators on lower-grade gliomas (LGG). Here, we systematically investigated the expression profiles and prognostic significance of 36 m(6)A RNA methylation regulators in LGG patients from the TCGA and CGGA databases. Most of the m(6)A RNA methylation regulators are differentially expressed in LGG tissues as compared with normal brain tissues and glioblastoma (GBM) tissues. The consensus clustering for these m(6)A RNA methylation regulators identified three clusters. Patients in cluster 3 exhibited worse prognosis. In addition, we constructed an m(6)A-related prognostic signature, which exhibited excellent performance in prognostic stratification of LGG patients according to the results of the Kaplan-Meier curves, ROC curves, and univariate and multivariate Cox regression analyses. In addition, a significant correlation was observed between the m(6)A-related prognostic signature and the immune landscape of the LGG microenvironment. The high-risk group exhibited higher immune scores, stromal scores, and ESTIMATE scores but lower tumor purity and lower abundance of activated NK cells. Moreover, the expression level of immune checkpoints was positively correlated with the risk score. To conclude, the current research systematically demonstrated the prognostic roles of m(6)A RNA methylation regulators in LGG. |
format | Online Article Text |
id | pubmed-8205593 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-82055932021-06-30 Identification of Critical m(6)A RNA Methylation Regulators with Prognostic Value in Lower-Grade Glioma Zheng, Jianglin Wang, Xuan Qiu, Yue Wang, Minjie Yu, Hao Zhou, Zijie Wu, Zhipeng Jiang, Xiaobing Biomed Res Int Research Article Increasing evidences have revealed that N(6)-methyladenosine (m(6)A) RNA methylation regulators participate in the tumorigenesis and development of multiple tumors. So far, there has been little comprehension about the effects of m(6)A RNA methylation regulators on lower-grade gliomas (LGG). Here, we systematically investigated the expression profiles and prognostic significance of 36 m(6)A RNA methylation regulators in LGG patients from the TCGA and CGGA databases. Most of the m(6)A RNA methylation regulators are differentially expressed in LGG tissues as compared with normal brain tissues and glioblastoma (GBM) tissues. The consensus clustering for these m(6)A RNA methylation regulators identified three clusters. Patients in cluster 3 exhibited worse prognosis. In addition, we constructed an m(6)A-related prognostic signature, which exhibited excellent performance in prognostic stratification of LGG patients according to the results of the Kaplan-Meier curves, ROC curves, and univariate and multivariate Cox regression analyses. In addition, a significant correlation was observed between the m(6)A-related prognostic signature and the immune landscape of the LGG microenvironment. The high-risk group exhibited higher immune scores, stromal scores, and ESTIMATE scores but lower tumor purity and lower abundance of activated NK cells. Moreover, the expression level of immune checkpoints was positively correlated with the risk score. To conclude, the current research systematically demonstrated the prognostic roles of m(6)A RNA methylation regulators in LGG. Hindawi 2021-06-08 /pmc/articles/PMC8205593/ /pubmed/34212046 http://dx.doi.org/10.1155/2021/9959212 Text en Copyright © 2021 Jianglin Zheng et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Zheng, Jianglin Wang, Xuan Qiu, Yue Wang, Minjie Yu, Hao Zhou, Zijie Wu, Zhipeng Jiang, Xiaobing Identification of Critical m(6)A RNA Methylation Regulators with Prognostic Value in Lower-Grade Glioma |
title | Identification of Critical m(6)A RNA Methylation Regulators with Prognostic Value in Lower-Grade Glioma |
title_full | Identification of Critical m(6)A RNA Methylation Regulators with Prognostic Value in Lower-Grade Glioma |
title_fullStr | Identification of Critical m(6)A RNA Methylation Regulators with Prognostic Value in Lower-Grade Glioma |
title_full_unstemmed | Identification of Critical m(6)A RNA Methylation Regulators with Prognostic Value in Lower-Grade Glioma |
title_short | Identification of Critical m(6)A RNA Methylation Regulators with Prognostic Value in Lower-Grade Glioma |
title_sort | identification of critical m(6)a rna methylation regulators with prognostic value in lower-grade glioma |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8205593/ https://www.ncbi.nlm.nih.gov/pubmed/34212046 http://dx.doi.org/10.1155/2021/9959212 |
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