OSluca: An Interactive Web Server to Evaluate Prognostic Biomarkers for Lung Cancer

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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Main Authors: 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
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-05-01
Series:Frontiers in Genetics
Subjects:
survival
lung cancer
biomarker
prognosis
OSluca
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2020.00420/full
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record_format Article
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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 AT zhongyiyan oslucaaninteractivewebservertoevaluateprognosticbiomarkersforlungcancer
AT qiangwang oslucaaninteractivewebservertoevaluateprognosticbiomarkersforlungcancer
AT zhendonglu oslucaaninteractivewebservertoevaluateprognosticbiomarkersforlungcancer
AT xiaoxiaosun oslucaaninteractivewebservertoevaluateprognosticbiomarkersforlungcancer
AT pengfeisong oslucaaninteractivewebservertoevaluateprognosticbiomarkersforlungcancer
AT yifangdang oslucaaninteractivewebservertoevaluateprognosticbiomarkersforlungcancer
AT longxiangxie oslucaaninteractivewebservertoevaluateprognosticbiomarkersforlungcancer
AT luzhang oslucaaninteractivewebservertoevaluateprognosticbiomarkersforlungcancer
AT yongqiangli oslucaaninteractivewebservertoevaluateprognosticbiomarkersforlungcancer
AT wanzhu oslucaaninteractivewebservertoevaluateprognosticbiomarkersforlungcancer
AT tiantianxie oslucaaninteractivewebservertoevaluateprognosticbiomarkersforlungcancer
AT jingma oslucaaninteractivewebservertoevaluateprognosticbiomarkersforlungcancer
AT yijiezhang oslucaaninteractivewebservertoevaluateprognosticbiomarkersforlungcancer
AT xiangqianguo oslucaaninteractivewebservertoevaluateprognosticbiomarkersforlungcancer
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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

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