OSluca: An Interactive Web Server to Evaluate Prognostic Biomarkers for Lung Cancer
Lung cancer is the principal cause of leading cancer-related incidence and mortality in the world. Various studies have excavated the potential prognostic biomarkers for cancer patients based on gene expression profiles. However, most of these reported biomarkers lack independent validation in multi...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2020-05-01
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Series: | Frontiers in Genetics |
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Online Access: | https://www.frontiersin.org/article/10.3389/fgene.2020.00420/full |
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doaj-74e12b0cb4a9411594fe1aa6638c2272 |
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record_format |
Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zhongyi Yan Qiang Wang Zhendong Lu Xiaoxiao Sun Pengfei Song Yifang Dang Longxiang Xie Lu Zhang Yongqiang Li Wan Zhu Tiantian Xie Jing Ma Yijie Zhang Xiangqian Guo |
spellingShingle |
Zhongyi Yan Qiang Wang Zhendong Lu Xiaoxiao Sun Pengfei Song Yifang Dang Longxiang Xie Lu Zhang Yongqiang Li Wan Zhu Tiantian Xie Jing Ma Yijie Zhang Xiangqian Guo OSluca: An Interactive Web Server to Evaluate Prognostic Biomarkers for Lung Cancer Frontiers in Genetics survival lung cancer biomarker prognosis OSluca |
author_facet |
Zhongyi Yan Qiang Wang Zhendong Lu Xiaoxiao Sun Pengfei Song Yifang Dang Longxiang Xie Lu Zhang Yongqiang Li Wan Zhu Tiantian Xie Jing Ma Yijie Zhang Xiangqian Guo |
author_sort |
Zhongyi Yan |
title |
OSluca: An Interactive Web Server to Evaluate Prognostic Biomarkers for Lung Cancer |
title_short |
OSluca: An Interactive Web Server to Evaluate Prognostic Biomarkers for Lung Cancer |
title_full |
OSluca: An Interactive Web Server to Evaluate Prognostic Biomarkers for Lung Cancer |
title_fullStr |
OSluca: An Interactive Web Server to Evaluate Prognostic Biomarkers for Lung Cancer |
title_full_unstemmed |
OSluca: An Interactive Web Server to Evaluate Prognostic Biomarkers for Lung Cancer |
title_sort |
osluca: an interactive web server to evaluate prognostic biomarkers for lung cancer |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Genetics |
issn |
1664-8021 |
publishDate |
2020-05-01 |
description |
Lung cancer is the principal cause of leading cancer-related incidence and mortality in the world. Various studies have excavated the potential prognostic biomarkers for cancer patients based on gene expression profiles. However, most of these reported biomarkers lack independent validation in multiple cohorts. Herein, we collected 35 datasets with long-term follow-up clinical information from TCGA (2 cohorts), GEO (32 cohorts), and Roepman study (1 cohort), and developed a web server named OSluca (Online consensus Survival for Lung Cancer) to assess the prognostic value of genes in lung cancer. The input of OSluca is an official gene symbol, and the output web page of OSluca displays the survival analysis summary with a forest plot and a survival table from Cox proportional regression in each cohort and combined cohorts. To test the performance of OSluca, 104 previously reported prognostic biomarkers in lung carcinoma were evaluated in OSluca. In conclusion, OSluca is a highly valuable and interactive prognostic web server for lung cancer. It can be accessed at http:// bioinfo.henu.edu.cn/LUCA/LUCAList.jsp. |
topic |
survival lung cancer biomarker prognosis OSluca |
url |
https://www.frontiersin.org/article/10.3389/fgene.2020.00420/full |
work_keys_str_mv |
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1724681449932587008 |
spelling |
doaj-74e12b0cb4a9411594fe1aa6638c22722020-11-25T03:04:30ZengFrontiers Media S.A.Frontiers in Genetics1664-80212020-05-011110.3389/fgene.2020.00420502595OSluca: An Interactive Web Server to Evaluate Prognostic Biomarkers for Lung CancerZhongyi Yan0Qiang Wang1Zhendong Lu2Xiaoxiao Sun3Pengfei Song4Yifang Dang5Longxiang Xie6Lu Zhang7Yongqiang Li8Wan Zhu9Tiantian Xie10Jing Ma11Yijie Zhang12Xiangqian Guo13Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, ChinaDepartment of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, ChinaDepartment of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, ChinaDepartment of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, ChinaDepartment of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, ChinaDepartment of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, ChinaDepartment of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, ChinaDepartment of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, ChinaDepartment of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, ChinaDepartment of Anesthesia, Stanford University, Stanford, CA, United StatesDepartment of Respiratory and Critical Care Medicine, Huaihe Hospital of Henan University, Kaifeng, ChinaDepartment of Respiratory and Critical Care Medicine, Huaihe Hospital of Henan University, Kaifeng, ChinaDepartment of Respiratory and Critical Care Medicine, Huaihe Hospital of Henan University, Kaifeng, ChinaDepartment of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, ChinaLung cancer is the principal cause of leading cancer-related incidence and mortality in the world. Various studies have excavated the potential prognostic biomarkers for cancer patients based on gene expression profiles. However, most of these reported biomarkers lack independent validation in multiple cohorts. Herein, we collected 35 datasets with long-term follow-up clinical information from TCGA (2 cohorts), GEO (32 cohorts), and Roepman study (1 cohort), and developed a web server named OSluca (Online consensus Survival for Lung Cancer) to assess the prognostic value of genes in lung cancer. The input of OSluca is an official gene symbol, and the output web page of OSluca displays the survival analysis summary with a forest plot and a survival table from Cox proportional regression in each cohort and combined cohorts. To test the performance of OSluca, 104 previously reported prognostic biomarkers in lung carcinoma were evaluated in OSluca. In conclusion, OSluca is a highly valuable and interactive prognostic web server for lung cancer. It can be accessed at http:// bioinfo.henu.edu.cn/LUCA/LUCAList.jsp.https://www.frontiersin.org/article/10.3389/fgene.2020.00420/fullsurvivallung cancerbiomarkerprognosisOSluca |