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Hypomethylation of 111 Probes Predicts Poor Prognosis for Glioblastoma

Glioblastoma (GBM) is a complicated brain tumor with heterogeneous outcome. Identification of effective biomarkers is an urgent need for the treatment decision-making and precise evaluation of prognosis. Based on a relatively large dataset of genome-wide methylation (138 glioblastoma patients), a jo...

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Autores principales: Chen, Qi, Zhao, Min, Yin, Chengliang, Feng, Shiyu, Hu, Jian, Zhang, Qiang, Ma, Xiaodong, Xue, Wanguo, Shi, Jinlong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6823878/
https://www.ncbi.nlm.nih.gov/pubmed/31708732
http://dx.doi.org/10.3389/fnins.2019.01137
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author Chen, Qi
Zhao, Min
Yin, Chengliang
Feng, Shiyu
Hu, Jian
Zhang, Qiang
Ma, Xiaodong
Xue, Wanguo
Shi, Jinlong
author_facet Chen, Qi
Zhao, Min
Yin, Chengliang
Feng, Shiyu
Hu, Jian
Zhang, Qiang
Ma, Xiaodong
Xue, Wanguo
Shi, Jinlong
author_sort Chen, Qi
collection PubMed
description Glioblastoma (GBM) is a complicated brain tumor with heterogeneous outcome. Identification of effective biomarkers is an urgent need for the treatment decision-making and precise evaluation of prognosis. Based on a relatively large dataset of genome-wide methylation (138 glioblastoma patients), a joint-score of 111 methyl-probes was found to be of statistical significance for prognostic evaluation. Low joint-score were significantly associated with adverse outcomes (OS: P < 0.001, PFS: P = 0.03). Multivariable analyses adjusted for known risk factors confirmed the low joint-score of 111 methyl-probes as a high risk factor. The prognostic value of the methylated joint-score was further validated in another dataset of glioblastoma patients (OS: P = 0.006). Additionally, variance analysis revealed that aberrant genetic and epigenetic alterations were significantly associated with the joint-score of those methyl-probes. In conclusion, our results supported the joint-score of 111 methyl-probes as a potential prognosticator for the precision treatment of glioblastoma.
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spelling pubmed-68238782019-11-08 Hypomethylation of 111 Probes Predicts Poor Prognosis for Glioblastoma Chen, Qi Zhao, Min Yin, Chengliang Feng, Shiyu Hu, Jian Zhang, Qiang Ma, Xiaodong Xue, Wanguo Shi, Jinlong Front Neurosci Neuroscience Glioblastoma (GBM) is a complicated brain tumor with heterogeneous outcome. Identification of effective biomarkers is an urgent need for the treatment decision-making and precise evaluation of prognosis. Based on a relatively large dataset of genome-wide methylation (138 glioblastoma patients), a joint-score of 111 methyl-probes was found to be of statistical significance for prognostic evaluation. Low joint-score were significantly associated with adverse outcomes (OS: P < 0.001, PFS: P = 0.03). Multivariable analyses adjusted for known risk factors confirmed the low joint-score of 111 methyl-probes as a high risk factor. The prognostic value of the methylated joint-score was further validated in another dataset of glioblastoma patients (OS: P = 0.006). Additionally, variance analysis revealed that aberrant genetic and epigenetic alterations were significantly associated with the joint-score of those methyl-probes. In conclusion, our results supported the joint-score of 111 methyl-probes as a potential prognosticator for the precision treatment of glioblastoma. Frontiers Media S.A. 2019-10-25 /pmc/articles/PMC6823878/ /pubmed/31708732 http://dx.doi.org/10.3389/fnins.2019.01137 Text en Copyright © 2019 Chen, Zhao, Yin, Feng, Hu, Zhang, Ma, Xue and Shi. 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 Neuroscience
Chen, Qi
Zhao, Min
Yin, Chengliang
Feng, Shiyu
Hu, Jian
Zhang, Qiang
Ma, Xiaodong
Xue, Wanguo
Shi, Jinlong
Hypomethylation of 111 Probes Predicts Poor Prognosis for Glioblastoma
title Hypomethylation of 111 Probes Predicts Poor Prognosis for Glioblastoma
title_full Hypomethylation of 111 Probes Predicts Poor Prognosis for Glioblastoma
title_fullStr Hypomethylation of 111 Probes Predicts Poor Prognosis for Glioblastoma
title_full_unstemmed Hypomethylation of 111 Probes Predicts Poor Prognosis for Glioblastoma
title_short Hypomethylation of 111 Probes Predicts Poor Prognosis for Glioblastoma
title_sort hypomethylation of 111 probes predicts poor prognosis for glioblastoma
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6823878/
https://www.ncbi.nlm.nih.gov/pubmed/31708732
http://dx.doi.org/10.3389/fnins.2019.01137
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