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Spatial transcriptome analysis reveals Notch pathway-associated prognostic markers in IDH1 wild-type glioblastoma involving the subventricular zone

BACKGROUND: The spatial relationship of glioblastoma (GBM) to the subventricular zone (SVZ) is associated with inferior patient survival. However, the underlying molecular phenotype is largely unknown. We interrogated an SVZ-dependent transcriptome and potential location-specific prognostic markers....

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Autores principales: Jungk, Christine, Mock, Andreas, Exner, Janina, Geisenberger, Christoph, Warta, Rolf, Capper, David, Abdollahi, Amir, Friauf, Sara, Lahrmann, Bernd, Grabe, Niels, Beckhove, Philipp, von Deimling, Andreas, Unterberg, Andreas, Herold-Mende, Christel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5080721/
https://www.ncbi.nlm.nih.gov/pubmed/27782828
http://dx.doi.org/10.1186/s12916-016-0710-7
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author Jungk, Christine
Mock, Andreas
Exner, Janina
Geisenberger, Christoph
Warta, Rolf
Capper, David
Abdollahi, Amir
Friauf, Sara
Lahrmann, Bernd
Grabe, Niels
Beckhove, Philipp
von Deimling, Andreas
Unterberg, Andreas
Herold-Mende, Christel
author_facet Jungk, Christine
Mock, Andreas
Exner, Janina
Geisenberger, Christoph
Warta, Rolf
Capper, David
Abdollahi, Amir
Friauf, Sara
Lahrmann, Bernd
Grabe, Niels
Beckhove, Philipp
von Deimling, Andreas
Unterberg, Andreas
Herold-Mende, Christel
author_sort Jungk, Christine
collection PubMed
description BACKGROUND: The spatial relationship of glioblastoma (GBM) to the subventricular zone (SVZ) is associated with inferior patient survival. However, the underlying molecular phenotype is largely unknown. We interrogated an SVZ-dependent transcriptome and potential location-specific prognostic markers. METHODS: mRNA microarray data of a discovery set (n = 36 GBMs) were analyzed for SVZ-dependent gene expression and process networks using the MetaCore™ workflow. Differential gene expression was confirmed by qPCR in a validation set of 142 IDH1 wild-type GBMs that was also used for survival analysis. RESULTS: Microarray analysis revealed a transcriptome distinctive of SVZ+ GBM that was enriched for genes associated with Notch signaling. No overlap was found to The Cancer Genome Atlas’s molecular subtypes. Independent validation of SVZ-dependent expression confirmed four genes with simultaneous prognostic impact: overexpression of HES4 (p = 0.034; HR 1.55) and DLL3 (p = 0.017; HR 1.61) predicted inferior, and overexpression of NTRK2 (p = 0.049; HR 0.66) and PIR (p = 0.025; HR 0.62) superior overall survival (OS). Additionally, overexpression of DLL3 was predictive of shorter progression-free survival (PFS) (p = 0.043; HR 1.64). Multivariate analysis revealed overexpression of HES4 to be independently associated with inferior OS (p = 0.033; HR 2.03), and overexpression of DLL3 with inferior PFS (p = 0.046; HR 1.65). CONCLUSIONS: We identified four genes with SVZ-dependent expression and prognostic significance, among those HES4 and DLL3 as part of Notch signaling, suggesting further evaluation of location-tailored targeted therapies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12916-016-0710-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-50807212016-10-28 Spatial transcriptome analysis reveals Notch pathway-associated prognostic markers in IDH1 wild-type glioblastoma involving the subventricular zone Jungk, Christine Mock, Andreas Exner, Janina Geisenberger, Christoph Warta, Rolf Capper, David Abdollahi, Amir Friauf, Sara Lahrmann, Bernd Grabe, Niels Beckhove, Philipp von Deimling, Andreas Unterberg, Andreas Herold-Mende, Christel BMC Med Research Article BACKGROUND: The spatial relationship of glioblastoma (GBM) to the subventricular zone (SVZ) is associated with inferior patient survival. However, the underlying molecular phenotype is largely unknown. We interrogated an SVZ-dependent transcriptome and potential location-specific prognostic markers. METHODS: mRNA microarray data of a discovery set (n = 36 GBMs) were analyzed for SVZ-dependent gene expression and process networks using the MetaCore™ workflow. Differential gene expression was confirmed by qPCR in a validation set of 142 IDH1 wild-type GBMs that was also used for survival analysis. RESULTS: Microarray analysis revealed a transcriptome distinctive of SVZ+ GBM that was enriched for genes associated with Notch signaling. No overlap was found to The Cancer Genome Atlas’s molecular subtypes. Independent validation of SVZ-dependent expression confirmed four genes with simultaneous prognostic impact: overexpression of HES4 (p = 0.034; HR 1.55) and DLL3 (p = 0.017; HR 1.61) predicted inferior, and overexpression of NTRK2 (p = 0.049; HR 0.66) and PIR (p = 0.025; HR 0.62) superior overall survival (OS). Additionally, overexpression of DLL3 was predictive of shorter progression-free survival (PFS) (p = 0.043; HR 1.64). Multivariate analysis revealed overexpression of HES4 to be independently associated with inferior OS (p = 0.033; HR 2.03), and overexpression of DLL3 with inferior PFS (p = 0.046; HR 1.65). CONCLUSIONS: We identified four genes with SVZ-dependent expression and prognostic significance, among those HES4 and DLL3 as part of Notch signaling, suggesting further evaluation of location-tailored targeted therapies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12916-016-0710-7) contains supplementary material, which is available to authorized users. BioMed Central 2016-10-26 /pmc/articles/PMC5080721/ /pubmed/27782828 http://dx.doi.org/10.1186/s12916-016-0710-7 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Jungk, Christine
Mock, Andreas
Exner, Janina
Geisenberger, Christoph
Warta, Rolf
Capper, David
Abdollahi, Amir
Friauf, Sara
Lahrmann, Bernd
Grabe, Niels
Beckhove, Philipp
von Deimling, Andreas
Unterberg, Andreas
Herold-Mende, Christel
Spatial transcriptome analysis reveals Notch pathway-associated prognostic markers in IDH1 wild-type glioblastoma involving the subventricular zone
title Spatial transcriptome analysis reveals Notch pathway-associated prognostic markers in IDH1 wild-type glioblastoma involving the subventricular zone
title_full Spatial transcriptome analysis reveals Notch pathway-associated prognostic markers in IDH1 wild-type glioblastoma involving the subventricular zone
title_fullStr Spatial transcriptome analysis reveals Notch pathway-associated prognostic markers in IDH1 wild-type glioblastoma involving the subventricular zone
title_full_unstemmed Spatial transcriptome analysis reveals Notch pathway-associated prognostic markers in IDH1 wild-type glioblastoma involving the subventricular zone
title_short Spatial transcriptome analysis reveals Notch pathway-associated prognostic markers in IDH1 wild-type glioblastoma involving the subventricular zone
title_sort spatial transcriptome analysis reveals notch pathway-associated prognostic markers in idh1 wild-type glioblastoma involving the subventricular zone
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5080721/
https://www.ncbi.nlm.nih.gov/pubmed/27782828
http://dx.doi.org/10.1186/s12916-016-0710-7
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