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

Overview

Journal Front Genet

Date 2020 Jun 13

PMID 32528519

Citations 12

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

Affiliations

Soon will be listed here.

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.

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