Open AccessIdentifying an Eight-Gene Signature to Optimize Overall Survival Prediction of Esophageal Adenocarcinoma Using Bioinformatics Analysis of ceRNA Network
Author(s) -
Yuanyong Wang,
Ning Liang,
Zhiqiang Xue,
Xinying Xue
Publication year - 2020
Publication title -
oncotargets and therapy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.054
H-Index - 60
ISSN - 1178-6930
DOI - 10.2147/ott.s287084
Subject(s) - competing endogenous rna , oncology , esophageal adenocarcinoma , medicine , survival analysis , gene signature , esophageal cancer , microrna , cohort , overall survival , microarray analysis techniques , gene , bioinformatics , adenocarcinoma , computational biology , cancer , biology , gene expression , rna , long non coding rna , genetics
Esophageal adenocarcinoma (EAC) patients usually have a poor prognosis without early diagnosis. In this study, we aimed to identify a novel signature to improve the prediction of overall survival (OS) in EAC.