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

Internet

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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