Prediction of candidate RNA signatures for recurrent ovarian cancer prognosis by the construction of an integrated competing endogenous RNA network

Tumor recurrence hinders treatment of ovarian cancer. The present study aimed to identify potential biomarkers for ovarian cancer recurrence prognosis and explore relevant mechanisms. RNA-sequencing of data from the TCGA database and GSE17260 dataset was carried out. Samples of the data were grouped...

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Detalles Bibliográficos
Autores principales: Wang, Xin, Han, Lei, Zhou, Ling, Wang, Li, Zhang, Lan-Mei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2018
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6151886/
https://www.ncbi.nlm.nih.gov/pubmed/30226545
http://dx.doi.org/10.3892/or.2018.6707

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6151886/
https://www.ncbi.nlm.nih.gov/pubmed/30226545
http://dx.doi.org/10.3892/or.2018.6707

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