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A five‐CpG signature of microRNA methylation in non‐G‐CIMP glioblastoma

AIMS: DNA methylation has been found to regulate microRNAs (miRNAs) expression, but the prognostic value of miRNA‐related DNA methylation aberration remained largely elusive in cancers including glioblastomas (GBMs). This study aimed to investigate the clinical and biological feature of miRNA methyl...

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Autores principales: Kang, En‐Ming, Yin, An‐An, He, Ya‐Long, Chen, Wei‐Jun, Etcheverry, Amandine, Aubry, Marc, Barnholtz‐Sloan, Jill, Mosser, Jean, Zhang, Wei, Zhang, Xiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6698977/
https://www.ncbi.nlm.nih.gov/pubmed/31016891
http://dx.doi.org/10.1111/cns.13133
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author Kang, En‐Ming
Yin, An‐An
He, Ya‐Long
Chen, Wei‐Jun
Etcheverry, Amandine
Aubry, Marc
Barnholtz‐Sloan, Jill
Mosser, Jean
Zhang, Wei
Zhang, Xiang
author_facet Kang, En‐Ming
Yin, An‐An
He, Ya‐Long
Chen, Wei‐Jun
Etcheverry, Amandine
Aubry, Marc
Barnholtz‐Sloan, Jill
Mosser, Jean
Zhang, Wei
Zhang, Xiang
author_sort Kang, En‐Ming
collection PubMed
description AIMS: DNA methylation has been found to regulate microRNAs (miRNAs) expression, but the prognostic value of miRNA‐related DNA methylation aberration remained largely elusive in cancers including glioblastomas (GBMs). This study aimed to investigate the clinical and biological feature of miRNA methylation in GBMs of non‐glioma‐CpG island methylator phenotype (non‐G‐CIMP). METHODS: Prognostic miRNA methylation loci were analyzed, with TCGA and Rennes cohort as training sets, and independent datasets of GBMs and low‐grade gliomas (LGGs) were obtained as validation sets. Different statistical and bioinformatic analysis and experimental validations were performed to clinically and biologically characterize the signature. RESULTS: We identified and validated a risk score based on methylation status of five miRNA‐associated CpGs which could predict survival of GBM patients in a series of training and validation sets. This signature was independent of age and O‐6‐methylguanine‐DNA methyltransferase (MGMT) promoter methylation status. The risk subgroup was associated with angiogenesis and accordingly differential responses to bevacizumab‐contained therapy. MiRNA target analysis and in vitro experiments further confirmed the accuracy of this signature. CONCLUSION: The five‐CpG signature of miRNA methylation was biologically relevant and was of potential prognostic and predictive value for GBMs. It might be of help for improving individualized treatment.
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spelling pubmed-66989772019-08-29 A five‐CpG signature of microRNA methylation in non‐G‐CIMP glioblastoma Kang, En‐Ming Yin, An‐An He, Ya‐Long Chen, Wei‐Jun Etcheverry, Amandine Aubry, Marc Barnholtz‐Sloan, Jill Mosser, Jean Zhang, Wei Zhang, Xiang CNS Neurosci Ther Original Articles AIMS: DNA methylation has been found to regulate microRNAs (miRNAs) expression, but the prognostic value of miRNA‐related DNA methylation aberration remained largely elusive in cancers including glioblastomas (GBMs). This study aimed to investigate the clinical and biological feature of miRNA methylation in GBMs of non‐glioma‐CpG island methylator phenotype (non‐G‐CIMP). METHODS: Prognostic miRNA methylation loci were analyzed, with TCGA and Rennes cohort as training sets, and independent datasets of GBMs and low‐grade gliomas (LGGs) were obtained as validation sets. Different statistical and bioinformatic analysis and experimental validations were performed to clinically and biologically characterize the signature. RESULTS: We identified and validated a risk score based on methylation status of five miRNA‐associated CpGs which could predict survival of GBM patients in a series of training and validation sets. This signature was independent of age and O‐6‐methylguanine‐DNA methyltransferase (MGMT) promoter methylation status. The risk subgroup was associated with angiogenesis and accordingly differential responses to bevacizumab‐contained therapy. MiRNA target analysis and in vitro experiments further confirmed the accuracy of this signature. CONCLUSION: The five‐CpG signature of miRNA methylation was biologically relevant and was of potential prognostic and predictive value for GBMs. It might be of help for improving individualized treatment. John Wiley and Sons Inc. 2019-04-23 /pmc/articles/PMC6698977/ /pubmed/31016891 http://dx.doi.org/10.1111/cns.13133 Text en © 2019 The Authors. CNS Neuroscience & Therapeutics Published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Kang, En‐Ming
Yin, An‐An
He, Ya‐Long
Chen, Wei‐Jun
Etcheverry, Amandine
Aubry, Marc
Barnholtz‐Sloan, Jill
Mosser, Jean
Zhang, Wei
Zhang, Xiang
A five‐CpG signature of microRNA methylation in non‐G‐CIMP glioblastoma
title A five‐CpG signature of microRNA methylation in non‐G‐CIMP glioblastoma
title_full A five‐CpG signature of microRNA methylation in non‐G‐CIMP glioblastoma
title_fullStr A five‐CpG signature of microRNA methylation in non‐G‐CIMP glioblastoma
title_full_unstemmed A five‐CpG signature of microRNA methylation in non‐G‐CIMP glioblastoma
title_short A five‐CpG signature of microRNA methylation in non‐G‐CIMP glioblastoma
title_sort five‐cpg signature of microrna methylation in non‐g‐cimp glioblastoma
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6698977/
https://www.ncbi.nlm.nih.gov/pubmed/31016891
http://dx.doi.org/10.1111/cns.13133
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