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RNA N6-Methyladenosine Regulator-Mediated Methylation Modifications Pattern and Immune Infiltration Features in Glioblastoma

Glioblastoma (GBM) is a group of intracranial neoplasms with intra-tumoral heterogeneity. RNA N6-methyladenosine (m(6)A) methylation modification reportedly plays roles in immune response. The relationship between the m(6)A modification pattern and immune cell infiltration in GBM remains unknown. Ut...

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Autores principales: Pan, Yimin, Xiao, Kai, Li, Yue, Li, Yuzhe, Liu, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7947873/
https://www.ncbi.nlm.nih.gov/pubmed/33718217
http://dx.doi.org/10.3389/fonc.2021.632934
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author Pan, Yimin
Xiao, Kai
Li, Yue
Li, Yuzhe
Liu, Qing
author_facet Pan, Yimin
Xiao, Kai
Li, Yue
Li, Yuzhe
Liu, Qing
author_sort Pan, Yimin
collection PubMed
description Glioblastoma (GBM) is a group of intracranial neoplasms with intra-tumoral heterogeneity. RNA N6-methyladenosine (m(6)A) methylation modification reportedly plays roles in immune response. The relationship between the m(6)A modification pattern and immune cell infiltration in GBM remains unknown. Utilizing expression data of GBM patients, we thoroughly explored the potential m(6)A modification pattern and m(6)A-related signatures based on 21 regulators. Thereafter, the m(6)A methylation modification-based prognostic assessment pipeline (MPAP) was constructed to quantitatively assess GBM patients’ clinical prognosis combining the Robustness and LASSO regression. Single-sample gene-set enrichment analysis (ssGSEA) was used to estimate the specific immune cell infiltration level. We identified two diverse clusters with diverse m(6)A modification characteristics. Based on differentially expressed genes (DEGs) within two clusters, m(6)A-related signatures were identified to establish the MPAP, which can be used to quantitatively forecast the prognosis of GBM patients. In addition, the relationship between 21 m(6)A regulators and specific immune cell infiltration was demonstrated in our study and the m(6)A regulator ELAVL1 was determined to play an important role in the anticancer response to PD-L1 therapy. Our findings indicated the relationship between m(6)A methylation modification patterns and tumor microenvironment immune cell infiltration, through which we could comprehensively understand resistance to multiple therapies in GBM, as well as accomplish precise risk stratification according to m(6)A-related signatures.
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spelling pubmed-79478732021-03-12 RNA N6-Methyladenosine Regulator-Mediated Methylation Modifications Pattern and Immune Infiltration Features in Glioblastoma Pan, Yimin Xiao, Kai Li, Yue Li, Yuzhe Liu, Qing Front Oncol Oncology Glioblastoma (GBM) is a group of intracranial neoplasms with intra-tumoral heterogeneity. RNA N6-methyladenosine (m(6)A) methylation modification reportedly plays roles in immune response. The relationship between the m(6)A modification pattern and immune cell infiltration in GBM remains unknown. Utilizing expression data of GBM patients, we thoroughly explored the potential m(6)A modification pattern and m(6)A-related signatures based on 21 regulators. Thereafter, the m(6)A methylation modification-based prognostic assessment pipeline (MPAP) was constructed to quantitatively assess GBM patients’ clinical prognosis combining the Robustness and LASSO regression. Single-sample gene-set enrichment analysis (ssGSEA) was used to estimate the specific immune cell infiltration level. We identified two diverse clusters with diverse m(6)A modification characteristics. Based on differentially expressed genes (DEGs) within two clusters, m(6)A-related signatures were identified to establish the MPAP, which can be used to quantitatively forecast the prognosis of GBM patients. In addition, the relationship between 21 m(6)A regulators and specific immune cell infiltration was demonstrated in our study and the m(6)A regulator ELAVL1 was determined to play an important role in the anticancer response to PD-L1 therapy. Our findings indicated the relationship between m(6)A methylation modification patterns and tumor microenvironment immune cell infiltration, through which we could comprehensively understand resistance to multiple therapies in GBM, as well as accomplish precise risk stratification according to m(6)A-related signatures. Frontiers Media S.A. 2021-02-25 /pmc/articles/PMC7947873/ /pubmed/33718217 http://dx.doi.org/10.3389/fonc.2021.632934 Text en Copyright © 2021 Pan, Xiao, Li, Li and Liu 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
Pan, Yimin
Xiao, Kai
Li, Yue
Li, Yuzhe
Liu, Qing
RNA N6-Methyladenosine Regulator-Mediated Methylation Modifications Pattern and Immune Infiltration Features in Glioblastoma
title RNA N6-Methyladenosine Regulator-Mediated Methylation Modifications Pattern and Immune Infiltration Features in Glioblastoma
title_full RNA N6-Methyladenosine Regulator-Mediated Methylation Modifications Pattern and Immune Infiltration Features in Glioblastoma
title_fullStr RNA N6-Methyladenosine Regulator-Mediated Methylation Modifications Pattern and Immune Infiltration Features in Glioblastoma
title_full_unstemmed RNA N6-Methyladenosine Regulator-Mediated Methylation Modifications Pattern and Immune Infiltration Features in Glioblastoma
title_short RNA N6-Methyladenosine Regulator-Mediated Methylation Modifications Pattern and Immune Infiltration Features in Glioblastoma
title_sort rna n6-methyladenosine regulator-mediated methylation modifications pattern and immune infiltration features in glioblastoma
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7947873/
https://www.ncbi.nlm.nih.gov/pubmed/33718217
http://dx.doi.org/10.3389/fonc.2021.632934
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