4.6 Article

OSblca: A Web Server for Investigating Prognostic Biomarkers of Bladder Cancer Patients

Journal

FRONTIERS IN ONCOLOGY
Volume 9, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fonc.2019.00466

Keywords

bladder cancer; prognostic biomarker analysis; web server; kaplan-meier curve; cox regression model

Categories

Funding

  1. National Natural Science Foundation of China [81602362]
  2. program for Science and Technology Development in Henan Province [162102310391]
  3. program for Innovative Talents of Science and Technology in Henan Province [18HASTIT048]
  4. Yellow River Scholar Program [H2016012]
  5. Kaifeng Science and Technology Major Project [18ZD008]
  6. Henan University [2015YBZR048, B2015151]

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Bladder cancer (BC) is one of the most common malignant tumors in the urinary system. The discovery of prognostic biomarkers is still one of the major challenges to improve clinical treatment of BC patients. In order to assist biologists and clinicians in easily evaluating the prognostic potency of genes in BC patients, we developed a user-friendly Online consensus Survival tool for bladder cancer (OSblca), to analyze the prognostic value of genes. The OSblca includes gene expression profiles of 1,075 BC patients and their respective clinical follow-up information. The clinical follow-up data include overall survival (OS), disease specific survival (DSS), disease free interval (DFI), and progression free interval (PFI). To analyze the prognostic value of a gene, users only need to input the official gene symbol and then click the Kaplan-Meier plot button, and Kaplan-Meier curve with the hazard ratio, 95% confidence intervals and log-rank P-value are generated and graphically displayed on the website using default options. For advanced analysis, users could limit their analysis by confounding factors including data source, survival type, TNM stage, histological type, smoking history, gender, lymph invasion, and race, which are set up as optional parameters to meet the specific needs of different researchers. To test the performance of the web server, we have tested and validated its reliability using previously reported prognostic biomarkers, including KPNA2, TP53, and MYC etc. , which had their prognostic values validated as reported in OSblca. In conclusion, OSblca is a useful tool to evaluate and discover novel prognostic biomarkers in BC. The web server can be accessed at http://bioinfo.henu.edu.cn/BLCA/BLCAList.jsp.

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