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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....
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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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. |
format | Online Article Text |
id | pubmed-5080721 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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