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Identification and validation of a 9-gene signature for the prognosis of ovarian cancer by integrated bioinformatical analysis

BACKGROUND: Ovarian cancer (OC) is the most lethal malignancy among gynecological cancers worldwide. It is urgent to identify effective biomarkers for the prognosis and diagnosis of OC. METHODS: We analyzed 4 OC Gene Expression Omnibus (GEO) data sets to detect differentially expressed genes (DEGs)....

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Detalles Bibliográficos
Autores principales:	Chen, Siping, Yang, Man, Yang, Haikun, Tang, Qiaofei, Gu, Chunming, Wei, Weifeng
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	AME Publishing Company 2022
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9622505/ https://www.ncbi.nlm.nih.gov/pubmed/36330389 http://dx.doi.org/10.21037/atm-22-3752

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