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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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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. |
format | Online Article Text |
id | pubmed-6823878 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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