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 

TITLE=OSgbm: An Online Consensus Survival Analysis Web Server for Glioblastoma

JOURNAL=Frontiers in Genetics

VOLUME=10

YEAR=2020

URL=https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2019.01378

DOI=10.3389/fgene.2019.01378

ISSN=1664-8021

ABSTRACT=<p>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 <italic>p</italic> value. As demonstration, the prognostic value of 51 previously reported survival associated biomarkers, such as <italic>PROM1</italic> (HR = 2.4120, <italic>p</italic> = 0.0071) and <italic>CXCR4</italic> (HR = 1.5578, <italic>p &lt; </italic>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 <uri xlink:href="http://bioinfo.henu.edu.cn/GBM/GBMList.jsp" xmlns:xlink="http://www.w3.org/1999/xlink">http://bioinfo.henu.edu.cn/GBM/GBMList.jsp</uri>.</p>