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A five-miRNA signature with prognostic and predictive value for MGMT promoter-methylated glioblastoma patients
Although O(6)-methylguanine DNA methyltransferase (MGMT) promoter methylation status is an important marker for glioblastoma multiforme (GBM), there is considerable variability in the clinical outcome of patients with similar methylation profiles. The present study aimed to refine the prognostic and...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4745726/ https://www.ncbi.nlm.nih.gov/pubmed/26320189 |
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author | Cheng, Wen Ren, Xiufang Cai, Jinquan Zhang, Chuanbao Li, Mingyang Wang, Kuanyu Liu, Yang Han, Sheng Wu, Anhua |
author_facet | Cheng, Wen Ren, Xiufang Cai, Jinquan Zhang, Chuanbao Li, Mingyang Wang, Kuanyu Liu, Yang Han, Sheng Wu, Anhua |
author_sort | Cheng, Wen |
collection | PubMed |
description | Although O(6)-methylguanine DNA methyltransferase (MGMT) promoter methylation status is an important marker for glioblastoma multiforme (GBM), there is considerable variability in the clinical outcome of patients with similar methylation profiles. The present study aimed to refine the prognostic and predictive value of MGMT promoter status in GBM by identifying a micro (mi)RNA risk signature. Data from The Cancer Genome Atlas was used for this study, with MGMT promoter-methylated samples randomly divided into training and internal validation sets. Data from The Chinese Glioma Genome Atlas was used for independent validation. A five miRNA-based risk signature was established for MGMT promoter-methylated GBM to distinguish cases as high- or low-risk with distinct prognoses, which was confirmed using internal and external validation sets. Importantly, the prognostic value of the signature was significant in different cohorts stratified by clinicopathologic factors and alkylating chemotherapy, and a multivariate Cox analysis found it to be an independent prognostic marker along with age and chemotherapy. Based on these three factors, we developed a quantitative model with greater accuracy for predicting the 1-year survival of patients with MGMT promoter-methylated GBM. These results indicate that the five-miRNA signature is an independent risk predictor for GBM with MGMT promoter methylation and can be used to identify patients at high risk of unfavorable outcome and resistant to alkylating chemotherapy, underscoring its potential for personalized GBM management. |
format | Online Article Text |
id | pubmed-4745726 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-47457262016-02-23 A five-miRNA signature with prognostic and predictive value for MGMT promoter-methylated glioblastoma patients Cheng, Wen Ren, Xiufang Cai, Jinquan Zhang, Chuanbao Li, Mingyang Wang, Kuanyu Liu, Yang Han, Sheng Wu, Anhua Oncotarget Research Paper Although O(6)-methylguanine DNA methyltransferase (MGMT) promoter methylation status is an important marker for glioblastoma multiforme (GBM), there is considerable variability in the clinical outcome of patients with similar methylation profiles. The present study aimed to refine the prognostic and predictive value of MGMT promoter status in GBM by identifying a micro (mi)RNA risk signature. Data from The Cancer Genome Atlas was used for this study, with MGMT promoter-methylated samples randomly divided into training and internal validation sets. Data from The Chinese Glioma Genome Atlas was used for independent validation. A five miRNA-based risk signature was established for MGMT promoter-methylated GBM to distinguish cases as high- or low-risk with distinct prognoses, which was confirmed using internal and external validation sets. Importantly, the prognostic value of the signature was significant in different cohorts stratified by clinicopathologic factors and alkylating chemotherapy, and a multivariate Cox analysis found it to be an independent prognostic marker along with age and chemotherapy. Based on these three factors, we developed a quantitative model with greater accuracy for predicting the 1-year survival of patients with MGMT promoter-methylated GBM. These results indicate that the five-miRNA signature is an independent risk predictor for GBM with MGMT promoter methylation and can be used to identify patients at high risk of unfavorable outcome and resistant to alkylating chemotherapy, underscoring its potential for personalized GBM management. Impact Journals LLC 2015-07-22 /pmc/articles/PMC4745726/ /pubmed/26320189 Text en Copyright: © 2015 Cheng et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Cheng, Wen Ren, Xiufang Cai, Jinquan Zhang, Chuanbao Li, Mingyang Wang, Kuanyu Liu, Yang Han, Sheng Wu, Anhua A five-miRNA signature with prognostic and predictive value for MGMT promoter-methylated glioblastoma patients |
title | A five-miRNA signature with prognostic and predictive value for MGMT promoter-methylated glioblastoma patients |
title_full | A five-miRNA signature with prognostic and predictive value for MGMT promoter-methylated glioblastoma patients |
title_fullStr | A five-miRNA signature with prognostic and predictive value for MGMT promoter-methylated glioblastoma patients |
title_full_unstemmed | A five-miRNA signature with prognostic and predictive value for MGMT promoter-methylated glioblastoma patients |
title_short | A five-miRNA signature with prognostic and predictive value for MGMT promoter-methylated glioblastoma patients |
title_sort | five-mirna signature with prognostic and predictive value for mgmt promoter-methylated glioblastoma patients |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4745726/ https://www.ncbi.nlm.nih.gov/pubmed/26320189 |
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