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OSgbm: An Online Consensus Survival Analysis Web Server for Glioblastoma
Glioblastoma (GBM) is the most common malignant tumor of the central nervous system. GBM causes poor clinical outcome and high mortality rate, mainly due to the lack of effective targeted therapy and prognostic biomarkers. Here, we developed a user-friendly Online Survival analysis web server for Gl...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7046682/ https://www.ncbi.nlm.nih.gov/pubmed/32153627 http://dx.doi.org/10.3389/fgene.2019.01378 |
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author | Dong, Huan Wang, Qiang Li, Ning Lv, Jiajia Ge, Linna Yang, Mengsi Zhang, Guosen An, Yang Wang, Fengling Xie, Longxiang Li, Yongqiang Zhu, Wan Zhang, Haiyu Zhang, Minghang Guo, Xiangqian |
author_facet | Dong, Huan Wang, Qiang Li, Ning Lv, Jiajia Ge, Linna Yang, Mengsi Zhang, Guosen An, Yang Wang, Fengling Xie, Longxiang Li, Yongqiang Zhu, Wan Zhang, Haiyu Zhang, Minghang Guo, Xiangqian |
author_sort | Dong, Huan |
collection | PubMed |
description | Glioblastoma (GBM) is the most common malignant tumor of the central nervous system. GBM causes poor clinical outcome and high mortality rate, mainly due to the lack of effective targeted therapy and prognostic biomarkers. Here, we developed a user-friendly Online Survival analysis web server for GlioBlastoMa, abbreviated OSgbm, to assess the prognostic value of candidate genes. Currently, OSgbm contains 684 samples with transcriptome profiles and clinical information from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO) and Chinese Glioma Genome Atlas (CGGA). The survival analysis results can be graphically presented by Kaplan-Meier (KM) plot with Hazard ratio (HR) and log-rank p value. As demonstration, the prognostic value of 51 previously reported survival associated biomarkers, such as PROM1 (HR = 2.4120, p = 0.0071) and CXCR4 (HR = 1.5578, p < 0.001), were confirmed in OSgbm. In summary, OSgbm allows users to evaluate and develop prognostic biomarkers of GBM. The web server of OSgbm is available at http://bioinfo.henu.edu.cn/GBM/GBMList.jsp. |
format | Online Article Text |
id | pubmed-7046682 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-70466822020-03-09 OSgbm: An Online Consensus Survival Analysis Web Server for Glioblastoma Dong, Huan Wang, Qiang Li, Ning Lv, Jiajia Ge, Linna Yang, Mengsi Zhang, Guosen An, Yang Wang, Fengling Xie, Longxiang Li, Yongqiang Zhu, Wan Zhang, Haiyu Zhang, Minghang Guo, Xiangqian Front Genet Genetics Glioblastoma (GBM) is the most common malignant tumor of the central nervous system. GBM causes poor clinical outcome and high mortality rate, mainly due to the lack of effective targeted therapy and prognostic biomarkers. Here, we developed a user-friendly Online Survival analysis web server for GlioBlastoMa, abbreviated OSgbm, to assess the prognostic value of candidate genes. Currently, OSgbm contains 684 samples with transcriptome profiles and clinical information from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO) and Chinese Glioma Genome Atlas (CGGA). The survival analysis results can be graphically presented by Kaplan-Meier (KM) plot with Hazard ratio (HR) and log-rank p value. As demonstration, the prognostic value of 51 previously reported survival associated biomarkers, such as PROM1 (HR = 2.4120, p = 0.0071) and CXCR4 (HR = 1.5578, p < 0.001), were confirmed in OSgbm. In summary, OSgbm allows users to evaluate and develop prognostic biomarkers of GBM. The web server of OSgbm is available at http://bioinfo.henu.edu.cn/GBM/GBMList.jsp. Frontiers Media S.A. 2020-02-21 /pmc/articles/PMC7046682/ /pubmed/32153627 http://dx.doi.org/10.3389/fgene.2019.01378 Text en Copyright © 2020 Dong, Wang, Li, Lv, Ge, Yang, Zhang, An, Wang, Xie, Li, Zhu, Zhang, Zhang and Guo 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 | Genetics Dong, Huan Wang, Qiang Li, Ning Lv, Jiajia Ge, Linna Yang, Mengsi Zhang, Guosen An, Yang Wang, Fengling Xie, Longxiang Li, Yongqiang Zhu, Wan Zhang, Haiyu Zhang, Minghang Guo, Xiangqian OSgbm: An Online Consensus Survival Analysis Web Server for Glioblastoma |
title | OSgbm: An Online Consensus Survival Analysis Web Server for Glioblastoma |
title_full | OSgbm: An Online Consensus Survival Analysis Web Server for Glioblastoma |
title_fullStr | OSgbm: An Online Consensus Survival Analysis Web Server for Glioblastoma |
title_full_unstemmed | OSgbm: An Online Consensus Survival Analysis Web Server for Glioblastoma |
title_short | OSgbm: An Online Consensus Survival Analysis Web Server for Glioblastoma |
title_sort | osgbm: an online consensus survival analysis web server for glioblastoma |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7046682/ https://www.ncbi.nlm.nih.gov/pubmed/32153627 http://dx.doi.org/10.3389/fgene.2019.01378 |
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