AUTHOR=Wang Qiang , Yan Zhongyi , Ge Linna , Li Ning , Yang Mengsi , Sun Xiaoxiao , Xie Longxiang , Zhang Guosen , Zhu Wan , Wang Yunlong , Li Yongqiang , Li Xianzhe , Guo Xiangqian 

TITLE=OSeac: An Online Survival Analysis Tool for Esophageal Adenocarcinoma

JOURNAL=Frontiers in Oncology

VOLUME=10

YEAR=2020

URL=https://www.frontiersin.org/journals/oncology/articles/10.3389/fonc.2020.00315

DOI=10.3389/fonc.2020.00315

ISSN=2234-943X

ABSTRACT=<p>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 <underline><bold>O</bold></underline>nline consensus <underline><bold>S</bold></underline>urvival analysis web server for <underline><bold>E</bold></underline>sophageal <underline><bold>A</bold></underline>deno<underline><bold>c</bold></underline>arcinoma (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 <italic>DKK3, CTO1</italic>, and <italic>TXNIP</italic>. OSeac is free and publicly accessible at <ext-link ext-link-type="uri" xlink:href="http://bioinfo.henu.edu.cn/EAC/EACList.jsp" xmlns:xlink="http://www.w3.org/1999/xlink">http://bioinfo.henu.edu.cn/EAC/EACList.jsp</ext-link>.</p>