OSeac: An Online Survival Analysis Tool for Esophageal Adenocarcinoma

Frontiers in Oncology

Xiaoxiao Sun¹  Guosen Zhang¹  Linna Ge¹  Yongqiang Li¹  Zhongyi Yan¹  Xiangqian Guo¹  Mengsi Yang¹  Ning Li¹  Longxiang Xie¹  Qiang Wang¹  Wan Zhu²  Xianzhe Li³  Yunlong Wang⁴ 

[1] Cell Signal Transduction Laboratory, Bioinformatics Department of Predictive Medicine, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Institute of Biomedical Informatics, Henan University, Kaifeng, China;Department of Anesthesia, Stanford University, Stanford, CA, United States;Department of Thoracic Surgery, The Affiliated Nanshi Hospital of Henan University, Nanyang, China;Henan Bioengineering Research Center, Zhengzhou, China;

关键词: EAC;    prognostic;    survival analysis;    biomarker;    web server;   

DOI  :  10.3389/fonc.2020.00315

来源: DOAJ

【 摘 要 】

Esophageal Adenocarcinoma (EAC) is one of the most common gastrointestinal tumors in the world. However, molecular prognostic systems are still lacking for EAC. Hence, we developed an Online consensus Survival analysis web server for Esophageal Adenocarcinoma (OSeac), to centralize published gene expression data and clinical follow up data of EAC patients from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). OSeac includes 198 EAC cases with gene expression profiling and relevant clinical long-term follow-up data, and employs the Kaplan Meier (KM) survival plot with hazard ratio (HR) and log rank test to estimate the prognostic potency of genes of interests for EAC patients. Moreover, we have determined the reliability of OSeac by using previously reported prognostic biomarkers such as DKK3, CTO1, and TXNIP. OSeac is free and publicly accessible at http://bioinfo.henu.edu.cn/EAC/EACList.jsp.

【 授权许可】

Unknown