Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Feng, Peng, Peng, Zhou, Yi, Yang, Zhen-Yu, Zhang, Hai-Quan, Ao, Xiang-Sheng, Zhou, Da-Quan, Xiang, Chun-Xiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
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
_version_ 1783271402198007808
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
work_keys_str_mv AT chenfeng aglo10scoreforthepredictionofprognosisinhighgradegliomas
AT pengpeng aglo10scoreforthepredictionofprognosisinhighgradegliomas
AT zhouyi aglo10scoreforthepredictionofprognosisinhighgradegliomas
AT yangzhenyu aglo10scoreforthepredictionofprognosisinhighgradegliomas
AT zhanghaiquan aglo10scoreforthepredictionofprognosisinhighgradegliomas
AT aoxiangsheng aglo10scoreforthepredictionofprognosisinhighgradegliomas
AT zhoudaquan aglo10scoreforthepredictionofprognosisinhighgradegliomas
AT xiangchunxiang aglo10scoreforthepredictionofprognosisinhighgradegliomas
AT chenfeng glo10scoreforthepredictionofprognosisinhighgradegliomas
AT pengpeng glo10scoreforthepredictionofprognosisinhighgradegliomas
AT zhouyi glo10scoreforthepredictionofprognosisinhighgradegliomas
AT yangzhenyu glo10scoreforthepredictionofprognosisinhighgradegliomas
AT zhanghaiquan glo10scoreforthepredictionofprognosisinhighgradegliomas
AT aoxiangsheng glo10scoreforthepredictionofprognosisinhighgradegliomas
AT zhoudaquan glo10scoreforthepredictionofprognosisinhighgradegliomas
AT xiangchunxiang glo10scoreforthepredictionofprognosisinhighgradegliomas