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Updated: May 27, 2026
09:40
Characterization of Functionally Associated miRNAs in Glioblastoma and their Engineering into Artificial Clusters for Gene Therapy
Published on: October 4, 2019
MiRNA expression patterns predict survival in glioblastoma
Maximilian Niyazi1, Franz Zehentmayr, Olivier M Niemöller
1Department of Radiation Oncology, Ludwig-Maximilians-University Munich, Marchioninistr, 15, 81377 Munich, Germany.
Radiation Oncology (London, England)
|November 15, 2011
Summary
This study identified a distinct microRNA (miRNA) expression pattern in glioblastoma patients, enabling the definition of new prognostic subgroups. This pattern predicts survival outcomes independently of MGMT status.
Area of Science:
- Oncology
- Molecular Biology
- Bioinformatics
Background:
- Glioblastoma is an aggressive brain tumor with limited prognostic subgroups.
- MicroRNAs (miRNAs) are emerging as potential biomarkers in cancer.
Purpose of the Study:
- To identify novel prognostic subgroups in glioblastoma patients using miRNA expression profiling.
- To investigate the association between miRNA patterns and patient survival.
Main Methods:
- A miRNA screen of over 1000 miRNAs was performed on paraffin-embedded glioblastoma tissues.
- Bio-mathematical analysis was applied to a cohort of 35 glioblastoma patients.
- Microarray analysis utilized the febit biochip 'Geniom® Biochip MPEA homo-sapiens'.
Main Results:
- A distinct miRNA expression pattern was identified, significantly separating prognostic subgroups.
- This miRNA pattern was strongly associated with early versus long-term survival (p = 0.01).
- The prognostic power of the miRNA pattern was independent of MGMT status.
Conclusions:
- This study presents the first dataset defining a prognostic role for miRNA expression patterns in glioblastoma.
- Further prospective validation is necessary to confirm these findings.
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