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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)...
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| Vydáno v: | Onco Targets Ther |
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| Hlavní autoři: | , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Dove
2020
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7764560/ https://ncbi.nlm.nih.gov/pubmed/33376353 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2147/OTT.S287084 |
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