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...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2019-06-01
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| Series: | Frontiers in Oncology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/article/10.3389/fonc.2019.00466/full |
| _version_ | 1818135810176712704 |
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| author | Guosen Zhang Qiang Wang Mengsi Yang Quan Yuan Yifang Dang Xiaoxiao Sun Yang An Huan Dong Longxiang Xie Wan Zhu Yunlong Wang Xiangqian Guo |
| author_facet | Guosen Zhang Qiang Wang Mengsi Yang Quan Yuan Yifang Dang Xiaoxiao Sun Yang An Huan Dong Longxiang Xie Wan Zhu Yunlong Wang Xiangqian Guo |
| author_sort | Guosen Zhang |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-11T09:30:25Z |
| format | Article |
| id | doaj.art-0863ae11623444238c564c278f2c76e8 |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-12-11T09:30:25Z |
| publishDate | 2019-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj.art-0863ae11623444238c564c278f2c76e82022-12-22T01:13:02ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2019-06-01910.3389/fonc.2019.00466458328OSblca: A Web Server for Investigating Prognostic Biomarkers of Bladder Cancer PatientsGuosen Zhang0Qiang Wang1Mengsi Yang2Quan Yuan3Yifang Dang4Xiaoxiao Sun5Yang An6Huan Dong7Longxiang Xie8Wan Zhu9Yunlong Wang10Xiangqian Guo11Cell Signal Transduction Laboratory, Department of Preventive Medicine, Bioinformatics Center, School of Basic Medical Sciences, School of Software, Institute of Biomedical Informatics, Henan University, Kaifeng, ChinaCell Signal Transduction Laboratory, Department of Preventive Medicine, Bioinformatics Center, School of Basic Medical Sciences, School of Software, Institute of Biomedical Informatics, Henan University, Kaifeng, ChinaCell Signal Transduction Laboratory, Department of Preventive Medicine, Bioinformatics Center, School of Basic Medical Sciences, School of Software, Institute of Biomedical Informatics, Henan University, Kaifeng, ChinaCell Signal Transduction Laboratory, Department of Preventive Medicine, Bioinformatics Center, School of Basic Medical Sciences, School of Software, Institute of Biomedical Informatics, Henan University, Kaifeng, ChinaCell Signal Transduction Laboratory, Department of Preventive Medicine, Bioinformatics Center, School of Basic Medical Sciences, School of Software, Institute of Biomedical Informatics, Henan University, Kaifeng, ChinaCell Signal Transduction Laboratory, Department of Preventive Medicine, Bioinformatics Center, School of Basic Medical Sciences, School of Software, Institute of Biomedical Informatics, Henan University, Kaifeng, ChinaCell Signal Transduction Laboratory, Department of Preventive Medicine, Bioinformatics Center, School of Basic Medical Sciences, School of Software, Institute of Biomedical Informatics, Henan University, Kaifeng, ChinaCell Signal Transduction Laboratory, Department of Preventive Medicine, Bioinformatics Center, School of Basic Medical Sciences, School of Software, Institute of Biomedical Informatics, Henan University, Kaifeng, ChinaCell Signal Transduction Laboratory, Department of Preventive Medicine, Bioinformatics Center, School of Basic Medical Sciences, School of Software, Institute of Biomedical Informatics, Henan University, Kaifeng, ChinaDepartment of Anesthesia, Stanford University, Stanford, CA, United StatesHenan Bioengineering Research Center, Zhengzhou, ChinaCell Signal Transduction Laboratory, Department of Preventive Medicine, Bioinformatics Center, School of Basic Medical Sciences, School of Software, Institute of Biomedical Informatics, Henan University, Kaifeng, ChinaBladder 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.https://www.frontiersin.org/article/10.3389/fonc.2019.00466/fullbladder cancerprognostic biomarker analysisweb serverkaplan-meier curvecox regression model |
| spellingShingle | Guosen Zhang Qiang Wang Mengsi Yang Quan Yuan Yifang Dang Xiaoxiao Sun Yang An Huan Dong Longxiang Xie Wan Zhu Yunlong Wang Xiangqian Guo OSblca: A Web Server for Investigating Prognostic Biomarkers of Bladder Cancer Patients Frontiers in Oncology bladder cancer prognostic biomarker analysis web server kaplan-meier curve cox regression model |
| 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 | bladder cancer prognostic biomarker analysis web server kaplan-meier curve cox regression model |
| url | https://www.frontiersin.org/article/10.3389/fonc.2019.00466/full |
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