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

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
Source :
Frontiers in Genetics, Vol 11 (2020)
Publication Year :
2020
Publisher :
Frontiers Media S.A., 2020.

Abstract

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.

Details

Language :
English
ISSN :
16648021
Volume :
11
Database :
Directory of Open Access Journals
Journal :
Frontiers in Genetics
Publication Type :
Academic Journal
Accession number :
edsdoj.74e12b0cb4a9411594fe1aa6638c2272
Document Type :
article
Full Text :
https://doi.org/10.3389/fgene.2020.00420