Identification of significant genes with poor prognosis in ovarian cancer via bioinformatical analysis

Ovarian cancer (OC) is the highest frequent malignant gynecologic tumor with very complicated pathogenesis. The purpose of the present academic work was to identify significant genes with poor outcome and their underlying mechanisms. Gene expression profiles of GSE36668, GSE14407 and GSE18520 were a...

Descripción completa

Detalles Bibliográficos
Autores principales: Feng, Hao, Gu, Zhong-Yi, Li, Qin, Liu, Qiong-Hua, Yang, Xiao-Yu, Zhang, Jun-Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6477749/
https://www.ncbi.nlm.nih.gov/pubmed/31010415
http://dx.doi.org/10.1186/s13048-019-0508-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6477749/
https://www.ncbi.nlm.nih.gov/pubmed/31010415
http://dx.doi.org/10.1186/s13048-019-0508-2

Ejemplares similares