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A GLO10 score for the prediction of prognosis in high grade gliomas
Gliomas are the most common lethal brain tumours and remain great heterogeneity in terms of histopathology and clinical outcomes. Among them, glioblastomas are the most aggressive tumours that lead to a median of less than one-year survival in patients. Despite the little improvement of in diagnosis...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5642606/ https://www.ncbi.nlm.nih.gov/pubmed/29050331 http://dx.doi.org/10.18632/oncotarget.20195 |
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author | Chen, Feng Peng, Peng Zhou, Yi Yang, Zhen-Yu Zhang, Hai-Quan Ao, Xiang-Sheng Zhou, Da-Quan Xiang, Chun-Xiang |
author_facet | Chen, Feng Peng, Peng Zhou, Yi Yang, Zhen-Yu Zhang, Hai-Quan Ao, Xiang-Sheng Zhou, Da-Quan Xiang, Chun-Xiang |
author_sort | Chen, Feng |
collection | PubMed |
description | Gliomas are the most common lethal brain tumours and remain great heterogeneity in terms of histopathology and clinical outcomes. Among them, glioblastomas are the most aggressive tumours that lead to a median of less than one-year survival in patients. Despite the little improvement of in diagnosis and treatments for last decades, there is an urgent need for prognostic markers to distinguish high- and low-risk patients before treatment.Here, we generated a list of genes associated with glioblastoma progressions and then performed a comprehensive statistical modelling strategy to derive a 10-gene (GLO10) score from genome wide expression profiles of a large glioblastoma cohort (n=844). Our study demonstrated that the GLO10 score could successfully distinguish high- and low-risk patients with glioblastomas regardless their traditional pathological factors. Validated in four independent cohorts, the utility of GLO10 score could provide clinicians a robust prognostic prediction tool to assess risk levels upfront treatments. |
format | Online Article Text |
id | pubmed-5642606 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-56426062017-10-18 A GLO10 score for the prediction of prognosis in high grade gliomas Chen, Feng Peng, Peng Zhou, Yi Yang, Zhen-Yu Zhang, Hai-Quan Ao, Xiang-Sheng Zhou, Da-Quan Xiang, Chun-Xiang Oncotarget Research Paper Gliomas are the most common lethal brain tumours and remain great heterogeneity in terms of histopathology and clinical outcomes. Among them, glioblastomas are the most aggressive tumours that lead to a median of less than one-year survival in patients. Despite the little improvement of in diagnosis and treatments for last decades, there is an urgent need for prognostic markers to distinguish high- and low-risk patients before treatment.Here, we generated a list of genes associated with glioblastoma progressions and then performed a comprehensive statistical modelling strategy to derive a 10-gene (GLO10) score from genome wide expression profiles of a large glioblastoma cohort (n=844). Our study demonstrated that the GLO10 score could successfully distinguish high- and low-risk patients with glioblastomas regardless their traditional pathological factors. Validated in four independent cohorts, the utility of GLO10 score could provide clinicians a robust prognostic prediction tool to assess risk levels upfront treatments. Impact Journals LLC 2017-08-10 /pmc/articles/PMC5642606/ /pubmed/29050331 http://dx.doi.org/10.18632/oncotarget.20195 Text en Copyright: © 2017 Chen et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Chen, Feng Peng, Peng Zhou, Yi Yang, Zhen-Yu Zhang, Hai-Quan Ao, Xiang-Sheng Zhou, Da-Quan Xiang, Chun-Xiang A GLO10 score for the prediction of prognosis in high grade gliomas |
title | A GLO10 score for the prediction of prognosis in high grade gliomas |
title_full | A GLO10 score for the prediction of prognosis in high grade gliomas |
title_fullStr | A GLO10 score for the prediction of prognosis in high grade gliomas |
title_full_unstemmed | A GLO10 score for the prediction of prognosis in high grade gliomas |
title_short | A GLO10 score for the prediction of prognosis in high grade gliomas |
title_sort | glo10 score for the prediction of prognosis in high grade gliomas |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5642606/ https://www.ncbi.nlm.nih.gov/pubmed/29050331 http://dx.doi.org/10.18632/oncotarget.20195 |
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