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. 2011 Nov 10:6:153.
doi: 10.1186/1748-717X-6-153.

MiRNA expression patterns predict survival in glioblastoma

Maximilian Niyazi  1 , Franz Zehentmayr, Olivier M Niemöller, Sabina Eigenbrod, Hans Kretzschmar, Klaus Schulze-Osthoff, Jörg-Christian Tonn, Mike Atkinson, Simone Mörtl, Claus Belka
Affiliations

MiRNA expression patterns predict survival in glioblastoma

Maximilian Niyazi et al. Radiat Oncol. .

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.

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Figures

Figure 1
Figure 1
Kaplan-Meier overall survival curves for MGMT methylated (N = 17) or MGMT not methylated (N = 13) patients. Significant difference by log-rank test (p = 0.009).
Figure 2
Figure 2
Heatmap with dendrograms for comparison short-term (S) vs. long-term survivor (L).
Figure 3
Figure 3
Kaplan-Meier overall survival curves for patients with miRNA pattern 1 (N = 14) or pattern 2 (N = 20). Significant difference by log-rank test (p = 0.006).
See this image and copyright information in PMC

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