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OSgbm: An Online Consensus Survival Analysis Web Server for Glioblastoma

Authors :
Huan Dong
Qiang Wang
Ning Li
Jiajia Lv
Linna Ge
Mengsi Yang
Guosen Zhang
Yang An
Fengling Wang
Longxiang Xie
Yongqiang Li
Wan Zhu
Haiyu Zhang
Minghang Zhang
Xiangqian Guo
Source :
Frontiers in Genetics, Vol 10 (2020)
Publication Year :
2020
Publisher :
Frontiers Media S.A., 2020.

Abstract

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.

Details

Language :
English
ISSN :
16648021
Volume :
10
Database :
Directory of Open Access Journals
Journal :
Frontiers in Genetics
Publication Type :
Academic Journal
Accession number :
edsdoj.0ca4c08e1c6c45cda3189983c3dcb18a
Document Type :
article
Full Text :
https://doi.org/10.3389/fgene.2019.01378