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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...

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Autores principales: Cheng, Wen, Ren, Xiufang, Cai, Jinquan, Zhang, Chuanbao, Li, Mingyang, Wang, Kuanyu, Liu, Yang, Han, Sheng, Wu, Anhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2015
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.
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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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