HOMEPRODUCTSCOMPANYCONTACTFAQResearchDictionaryPharmaSign Up FREE or Login

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

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.
AuthorsZhongyi 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
JournalFrontiers in genetics (Front Genet) Vol. 11 Pg. 420 ( 2020) ISSN: 1664-8021 [Print] Switzerland
PMID32528519 (Publication Type: Journal Article)
CopyrightCopyright © 2020 Yan, Wang, Lu, Sun, Song, Dang, Xie, Zhang, Li, Zhu, Xie, Ma, Zhang and Guo.

Join CureHunter, for free Research Interface BASIC access!

Take advantage of free CureHunter research engine access to explore the best drug and treatment options for any disease. Find out why thousands of doctors, pharma researchers and patient activists around the world use CureHunter every day.
Realize the full power of the drug-disease research graph!


Choose Username:
Email:
Password:
Verify Password:
Enter Code Shown: