Cargando…

Expression and Potential Biomarkers of Regulators for M7G RNA Modification in Gliomas

Gliomas are the most frequent primary malignant brain tumors of the central nervous system, causing significant impairment and death. There is mounting evidence that N7 methylguanosine (m7G) RNA dysmethylation plays a significant role in the development and progression of cancer. However, the expres...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Zhen, Zhang, Zhe, Ding, Wei, Zhang, Jie-hui, Tan, Zi-long, Mei, Yu-ran, He, Wei, Wang, Xiao-jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9124973/
https://www.ncbi.nlm.nih.gov/pubmed/35614925
http://dx.doi.org/10.3389/fneur.2022.886246
_version_ 1784711844663918592
author Chen, Zhen
Zhang, Zhe
Ding, Wei
Zhang, Jie-hui
Tan, Zi-long
Mei, Yu-ran
He, Wei
Wang, Xiao-jing
author_facet Chen, Zhen
Zhang, Zhe
Ding, Wei
Zhang, Jie-hui
Tan, Zi-long
Mei, Yu-ran
He, Wei
Wang, Xiao-jing
author_sort Chen, Zhen
collection PubMed
description Gliomas are the most frequent primary malignant brain tumors of the central nervous system, causing significant impairment and death. There is mounting evidence that N7 methylguanosine (m7G) RNA dysmethylation plays a significant role in the development and progression of cancer. However, the expression patterns and function of the m7G RNA methylation regulator in gliomas are yet unknown. The goal of this study was to examine the expression patterns of 31 critical regulators linked with m7G RNA methylation and their prognostic significance in gliomas. To begin, we systematically analyzed patient clinical and prognostic data and mRNA gene expression data from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases. We found that 17 key regulators of m7G RNA methylation showed significantly higher expression levels in gliomas. We then divided the sample into two subgroups by consensus clustering. Cluster 2 had a poorer prognosis than cluster 1 and was associated with a higher histological grade. In addition, cluster 2 was significantly enriched for cancer-related pathways. Based on this discovery, we developed a risk model involving three m7G methylation regulators. Patients were divided into high-risk and low-risk groups based on risk scores. Overall survival (OS) was significantly lower in the high-risk group than in the low-risk group. Further analysis showed that the risk score was an independent prognostic factor for gliomas.
format Online
Article
Text
id pubmed-9124973
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-91249732022-05-24 Expression and Potential Biomarkers of Regulators for M7G RNA Modification in Gliomas Chen, Zhen Zhang, Zhe Ding, Wei Zhang, Jie-hui Tan, Zi-long Mei, Yu-ran He, Wei Wang, Xiao-jing Front Neurol Neurology Gliomas are the most frequent primary malignant brain tumors of the central nervous system, causing significant impairment and death. There is mounting evidence that N7 methylguanosine (m7G) RNA dysmethylation plays a significant role in the development and progression of cancer. However, the expression patterns and function of the m7G RNA methylation regulator in gliomas are yet unknown. The goal of this study was to examine the expression patterns of 31 critical regulators linked with m7G RNA methylation and their prognostic significance in gliomas. To begin, we systematically analyzed patient clinical and prognostic data and mRNA gene expression data from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases. We found that 17 key regulators of m7G RNA methylation showed significantly higher expression levels in gliomas. We then divided the sample into two subgroups by consensus clustering. Cluster 2 had a poorer prognosis than cluster 1 and was associated with a higher histological grade. In addition, cluster 2 was significantly enriched for cancer-related pathways. Based on this discovery, we developed a risk model involving three m7G methylation regulators. Patients were divided into high-risk and low-risk groups based on risk scores. Overall survival (OS) was significantly lower in the high-risk group than in the low-risk group. Further analysis showed that the risk score was an independent prognostic factor for gliomas. Frontiers Media S.A. 2022-05-09 /pmc/articles/PMC9124973/ /pubmed/35614925 http://dx.doi.org/10.3389/fneur.2022.886246 Text en Copyright © 2022 Chen, Zhang, Ding, Zhang, Tan, Mei, He and Wang. https://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 Neurology
Chen, Zhen
Zhang, Zhe
Ding, Wei
Zhang, Jie-hui
Tan, Zi-long
Mei, Yu-ran
He, Wei
Wang, Xiao-jing
Expression and Potential Biomarkers of Regulators for M7G RNA Modification in Gliomas
title Expression and Potential Biomarkers of Regulators for M7G RNA Modification in Gliomas
title_full Expression and Potential Biomarkers of Regulators for M7G RNA Modification in Gliomas
title_fullStr Expression and Potential Biomarkers of Regulators for M7G RNA Modification in Gliomas
title_full_unstemmed Expression and Potential Biomarkers of Regulators for M7G RNA Modification in Gliomas
title_short Expression and Potential Biomarkers of Regulators for M7G RNA Modification in Gliomas
title_sort expression and potential biomarkers of regulators for m7g rna modification in gliomas
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9124973/
https://www.ncbi.nlm.nih.gov/pubmed/35614925
http://dx.doi.org/10.3389/fneur.2022.886246
work_keys_str_mv AT chenzhen expressionandpotentialbiomarkersofregulatorsform7grnamodificationingliomas
AT zhangzhe expressionandpotentialbiomarkersofregulatorsform7grnamodificationingliomas
AT dingwei expressionandpotentialbiomarkersofregulatorsform7grnamodificationingliomas
AT zhangjiehui expressionandpotentialbiomarkersofregulatorsform7grnamodificationingliomas
AT tanzilong expressionandpotentialbiomarkersofregulatorsform7grnamodificationingliomas
AT meiyuran expressionandpotentialbiomarkersofregulatorsform7grnamodificationingliomas
AT hewei expressionandpotentialbiomarkersofregulatorsform7grnamodificationingliomas
AT wangxiaojing expressionandpotentialbiomarkersofregulatorsform7grnamodificationingliomas