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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)...
Autores principales: | Wang, Yuanyong, Liang, Naixin, Xue, Zhiqiang, Xue, Xinying |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2020
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Materias: | |
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 |
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