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MiRNA expression patterns predict survival in glioblastoma

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...

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Autores principales: Niyazi, Maximilian, Zehentmayr, Franz, Niemöller, Olivier M, Eigenbrod, Sabina, Kretzschmar, Hans, Osthoff, Klaus-Schulze, Tonn, Jörg-Christian, Atkinson, Mike, Mörtl, Simone, Belka, Claus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3235977/
https://www.ncbi.nlm.nih.gov/pubmed/22074483
http://dx.doi.org/10.1186/1748-717X-6-153
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author Niyazi, Maximilian
Zehentmayr, Franz
Niemöller, Olivier M
Eigenbrod, Sabina
Kretzschmar, Hans
Osthoff, Klaus-Schulze
Tonn, Jörg-Christian
Atkinson, Mike
Mörtl, Simone
Belka, Claus
author_facet Niyazi, Maximilian
Zehentmayr, Franz
Niemöller, Olivier M
Eigenbrod, Sabina
Kretzschmar, Hans
Osthoff, Klaus-Schulze
Tonn, Jörg-Christian
Atkinson, Mike
Mörtl, Simone
Belka, Claus
author_sort Niyazi, Maximilian
collection PubMed
description 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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spelling pubmed-32359772011-12-13 MiRNA expression patterns predict survival in glioblastoma Niyazi, Maximilian Zehentmayr, Franz Niemöller, Olivier M Eigenbrod, Sabina Kretzschmar, Hans Osthoff, Klaus-Schulze Tonn, Jörg-Christian Atkinson, Mike Mörtl, Simone Belka, Claus Radiat Oncol Research 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. BioMed Central 2011-11-10 /pmc/articles/PMC3235977/ /pubmed/22074483 http://dx.doi.org/10.1186/1748-717X-6-153 Text en Copyright ©2011 Niyazi et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Niyazi, Maximilian
Zehentmayr, Franz
Niemöller, Olivier M
Eigenbrod, Sabina
Kretzschmar, Hans
Osthoff, Klaus-Schulze
Tonn, Jörg-Christian
Atkinson, Mike
Mörtl, Simone
Belka, Claus
MiRNA expression patterns predict survival in glioblastoma
title MiRNA expression patterns predict survival in glioblastoma
title_full MiRNA expression patterns predict survival in glioblastoma
title_fullStr MiRNA expression patterns predict survival in glioblastoma
title_full_unstemmed MiRNA expression patterns predict survival in glioblastoma
title_short MiRNA expression patterns predict survival in glioblastoma
title_sort mirna expression patterns predict survival in glioblastoma
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3235977/
https://www.ncbi.nlm.nih.gov/pubmed/22074483
http://dx.doi.org/10.1186/1748-717X-6-153
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