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OSblca: A Web Server for Investigating Prognostic Biomarkers of Bladder Cancer Patients
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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6593271/ https://www.ncbi.nlm.nih.gov/pubmed/31275847 http://dx.doi.org/10.3389/fonc.2019.00466 |
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author | Zhang, Guosen Wang, Qiang Yang, Mengsi Yuan, Quan Dang, Yifang Sun, Xiaoxiao An, Yang Dong, Huan Xie, Longxiang Zhu, Wan Wang, Yunlong Guo, Xiangqian |
author_facet | Zhang, Guosen Wang, Qiang Yang, Mengsi Yuan, Quan Dang, Yifang Sun, Xiaoxiao An, Yang Dong, Huan Xie, Longxiang Zhu, Wan Wang, Yunlong Guo, Xiangqian |
author_sort | Zhang, Guosen |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6593271 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-65932712019-07-03 OSblca: A Web Server for Investigating Prognostic Biomarkers of Bladder Cancer Patients Zhang, Guosen Wang, Qiang Yang, Mengsi Yuan, Quan Dang, Yifang Sun, Xiaoxiao An, Yang Dong, Huan Xie, Longxiang Zhu, Wan Wang, Yunlong Guo, Xiangqian Front Oncol Oncology 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. Frontiers Media S.A. 2019-06-04 /pmc/articles/PMC6593271/ /pubmed/31275847 http://dx.doi.org/10.3389/fonc.2019.00466 Text en Copyright © 2019 Zhang, Wang, Yang, Yuan, Dang, Sun, An, Dong, Xie, Zhu, Wang 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 | Oncology Zhang, Guosen Wang, Qiang Yang, Mengsi Yuan, Quan Dang, Yifang Sun, Xiaoxiao An, Yang Dong, Huan Xie, Longxiang Zhu, Wan Wang, Yunlong Guo, Xiangqian OSblca: A Web Server for Investigating Prognostic Biomarkers of Bladder Cancer Patients |
title | OSblca: A Web Server for Investigating Prognostic Biomarkers of Bladder Cancer Patients |
title_full | OSblca: A Web Server for Investigating Prognostic Biomarkers of Bladder Cancer Patients |
title_fullStr | OSblca: A Web Server for Investigating Prognostic Biomarkers of Bladder Cancer Patients |
title_full_unstemmed | OSblca: A Web Server for Investigating Prognostic Biomarkers of Bladder Cancer Patients |
title_short | OSblca: A Web Server for Investigating Prognostic Biomarkers of Bladder Cancer Patients |
title_sort | osblca: a web server for investigating prognostic biomarkers of bladder cancer patients |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6593271/ https://www.ncbi.nlm.nih.gov/pubmed/31275847 http://dx.doi.org/10.3389/fonc.2019.00466 |
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