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Aims
Ovarian cancer is the deadliest of all gynecologic cancers because of its late diagnosis and poor treatment outcomes. This study aimed to identify potential molecular signatures associated with biological processes that are implicated in epithelial ovarian cancer (EOC).
Methods
Expression profiling was carried out on 16 fresh frozen EOC and normal ovarian tissue samples using the Illumina...
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