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

BACKGROUND AND AIMS: 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. METHODS: Eighty-one and 68 samples from The Cancer Genome Atlas (TCGA)...

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Detalles Bibliográficos
Autores principales: Wang, Yuanyong, Liang, Naixin, Xue, Zhiqiang, Xue, Xinying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2020
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7764560/
https://www.ncbi.nlm.nih.gov/pubmed/33376353
http://dx.doi.org/10.2147/OTT.S287084

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7764560/
https://www.ncbi.nlm.nih.gov/pubmed/33376353
http://dx.doi.org/10.2147/OTT.S287084

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