Identifying an Eight-Gene Signature to Optimize Overall Survival Prediction of Esophageal Adenocarcinoma Using Bioinformatics Analysis of ceRNA Network

Identifying an Eight-Gene Signature to Optimize Overall Survival Prediction of Esophageal Adenocarcinoma Using Bioinformatics Analysis of ceRNA Network

Yuanyong Wang,1,* Naixin Liang,2,* Zhiqiang Xue,1 Xinying Xue3,4 1Department of Thoracic Surgery, Chinese PLA General Hospital, Beijing, People’s Republic of China; 2Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, People&...

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Bibliographic Details
Main Authors: Wang Y, Liang N, Xue Z, Xue X
Format: Article
Language:English
Published: Dove Medical Press 2020-12-01
Series:OncoTargets and Therapy
Subjects:
esophageal adenocarcinoma
signature
competing endogenous rna
overall survival
tcga
Online Access:https://www.dovepress.com/identifying-an-eight-gene-signature-to-optimize-overall-survival-predi-peer-reviewed-article-OTT

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https://www.dovepress.com/identifying-an-eight-gene-signature-to-optimize-overall-survival-predi-peer-reviewed-article-OTT

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