MiRNA expression patterns predict survival in glioblastoma

Maximilian Niyazi, Franz Zehentmayr, Olivier M. Niemöller, Sabina Eigenbrod, Hans Kretzschmar, Klaus Schulze Osthoff, Jörg Christian Tonn, Mike Atkinson, Simone Mörtl, Claus Belka

Research output: Contribution to journalArticlepeer-review

50 Scopus citations

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.

Original languageEnglish
Article number153
JournalRadiation Oncology
Volume6
Issue number1
DOIs
StatePublished - 10 Nov 2011
Externally publishedYes

Keywords

  • Glioblastoma
  • Methylation
  • Microrna
  • Prognosis
  • Radiotherapy

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