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

Zhaoyang WangNaixin LiangZhiqiang XueXinying Xue
Published in: OncoTargets and therapy (2020)
The current study provides novel insights into the mRNA-related ceRNA network in EAC and the eight mRNA biomarkers may be independent prognostic signatures in predicting the survival of EAC patients.
Keyphrases
  • end stage renal disease
  • bioinformatics analysis
  • long non coding rna
  • chronic kidney disease
  • ejection fraction
  • genome wide
  • newly diagnosed
  • squamous cell carcinoma
  • free survival
  • gene expression
  • copy number