Differential expression of microRNAs as predictors of glioblastoma phenotypes

BACKGROUND: Glioblastoma is the most aggressive primary central nervous tumor and carries a very poor prognosis. Invasion precludes effective treatment and virtually assures tumor recurrence. In the current study, we applied analytical and bioinformatics approaches to identify a set of microRNAs (mi...

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Detalles Bibliográficos
Autores principales: Bradley, Barrie S, Loftus, Joseph C, Mielke, Clinton J, Dinu, Valentin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3901345/
https://www.ncbi.nlm.nih.gov/pubmed/24438171
http://dx.doi.org/10.1186/1471-2105-15-21

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3901345/
https://www.ncbi.nlm.nih.gov/pubmed/24438171
http://dx.doi.org/10.1186/1471-2105-15-21

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