Article

Identification and Analysis of Genes Associated with Epithelial Ovarian Cancer by Integrated Bioinformatics Methods

2020-07-07

Abstract excerpt

<h4>Background: </h4> Though considerable efforts have been made to improve the treatment of epithelial ovarian cancer (EOC), the prognosis of patients has remained poor. Identifying differentially expressed genes (DEGs) involved in EOC progression and exploiting them as novel biomarkers or therapeutic targets for EOC is highly valuable. <h4>Methods: </h4>: Overlapping DEGs were screened out from three independent...

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Literature Corpus work: 3eab6aa5-5e18-561d-998d-2b2a5c4f2476
DOI: 10.21203/rs.3.rs-39371/v1

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