Article
Identification of Molecular Markers Associated With Ovarian Cancer Prognosis Using Bioinformatics Analysis
2020-02-21
Abstract excerpt
<title>Abstract</title> <p>Background Ovarian cancer is associated with a high mortality rate worldwide. However, the pathogenesis, clinicopathological features, and genetic mechanisms of ovarian cancer are still unclear, and it is essential to identify prognostic markers for its clinical diagnosis and treatment. Here, we utilized bioinformatic analysis to identify potential genes involved in mediating BRCA1 expr...
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Identifiers and source
- Literature Corpus work
- 16b6a7a7-b7fc-5bac-a9df-ae6b1b30f0b5
- DOI
- 10.21203/rs.2.24152/v1
