MiRNA expression patterns predict survival in glioblastoma

Autor: Niyazi Maximilian, Zehentmayr Franz, Niemöller Olivier M, Eigenbrod Sabina, Kretzschmar Hans, Osthoff Klaus-Schulze, Tonn Jörg-Christian, Atkinson Mike, Mörtl Simone, Belka Claus
Jazyk: angličtina
Rok vydání: 2011
Předmět:
Zdroj: Radiation Oncology, Vol 6, Iss 1, p 153 (2011)
Druh dokumentu: article
ISSN: 1748-717X
DOI: 10.1186/1748-717X-6-153
Popis: Abstract Background In order to define new prognostic subgroups in patients with glioblastoma a miRNA screen (> 1000 miRNAs) from paraffin tissues followed by a bio-mathematical analysis was performed. Methods 35 glioblastoma patients treated between 7/2005 - 8/2008 at a single institution with surgery and postoperative radio(chemo)therapy were included in this retrospective analysis. For microarray analysis the febit biochip "Geniom® Biochip MPEA homo-sapiens" was used. Total RNA was isolated from FFPE tissue sections and 1100 different miRNAs were analyzed. Results It was possible to define a distinct miRNA expression pattern allowing for a separation of distinct prognostic subgroups. The defined miRNA pattern was significantly associated with early death versus long-term survival (split at 450 days) (p = 0.01). The pattern and the prognostic power were both independent of the MGMT status. Conclusions At present, this is the first dataset defining a prognostic role of miRNA expression patterns in patients with glioblastoma. Having defined such a pattern, a prospective validation of this observation is required.
Databáze: Directory of Open Access Journals