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Response-Predictive Gene Expression Profiling of Glioma Progenitor Cells In Vitro

BACKGROUND: High-grade gliomas are amongst the most deadly human tumors. Treatment results are disappointing. Still, in several trials around 20% of patients respond to therapy. To date, diagnostic strategies to identify patients that will profit from a specific therapy do not exist. METHODS: In thi...

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Autores principales: Moeckel, Sylvia, Meyer, Katharina, Leukel, Petra, Heudorfer, Fabian, Seliger, Corinna, Stangl, Christina, Bogdahn, Ulrich, Proescholdt, Martin, Brawanski, Alexander, Vollmann-Zwerenz, Arabel, Riemenschneider, Markus J., Bosserhoff, Anja-Katrin, Spang, Rainer, Hau, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4182559/
https://www.ncbi.nlm.nih.gov/pubmed/25268354
http://dx.doi.org/10.1371/journal.pone.0108632
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author Moeckel, Sylvia
Meyer, Katharina
Leukel, Petra
Heudorfer, Fabian
Seliger, Corinna
Stangl, Christina
Bogdahn, Ulrich
Proescholdt, Martin
Brawanski, Alexander
Vollmann-Zwerenz, Arabel
Riemenschneider, Markus J.
Bosserhoff, Anja-Katrin
Spang, Rainer
Hau, Peter
author_facet Moeckel, Sylvia
Meyer, Katharina
Leukel, Petra
Heudorfer, Fabian
Seliger, Corinna
Stangl, Christina
Bogdahn, Ulrich
Proescholdt, Martin
Brawanski, Alexander
Vollmann-Zwerenz, Arabel
Riemenschneider, Markus J.
Bosserhoff, Anja-Katrin
Spang, Rainer
Hau, Peter
author_sort Moeckel, Sylvia
collection PubMed
description BACKGROUND: High-grade gliomas are amongst the most deadly human tumors. Treatment results are disappointing. Still, in several trials around 20% of patients respond to therapy. To date, diagnostic strategies to identify patients that will profit from a specific therapy do not exist. METHODS: In this study, we used serum-free short-term treated in vitro cell cultures to predict treatment response in vitro. This approach allowed us (a) to enrich specimens for brain tumor initiating cells and (b) to confront cells with a therapeutic agent before expression profiling. RESULTS: As a proof of principle we analyzed gene expression in 18 short-term serum-free cultures of high-grade gliomas enhanced for brain tumor initiating cells (BTIC) before and after in vitro treatment with the tyrosine kinase inhibitor Sunitinib. Profiles from treated progenitor cells allowed to predict therapy-induced impairment of proliferation in vitro. CONCLUSION: For the tyrosine kinase inhibitor Sunitinib used in this dataset, the approach revealed additional predictive information in comparison to the evaluation of classical signaling analysis.
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spelling pubmed-41825592014-10-07 Response-Predictive Gene Expression Profiling of Glioma Progenitor Cells In Vitro Moeckel, Sylvia Meyer, Katharina Leukel, Petra Heudorfer, Fabian Seliger, Corinna Stangl, Christina Bogdahn, Ulrich Proescholdt, Martin Brawanski, Alexander Vollmann-Zwerenz, Arabel Riemenschneider, Markus J. Bosserhoff, Anja-Katrin Spang, Rainer Hau, Peter PLoS One Research Article BACKGROUND: High-grade gliomas are amongst the most deadly human tumors. Treatment results are disappointing. Still, in several trials around 20% of patients respond to therapy. To date, diagnostic strategies to identify patients that will profit from a specific therapy do not exist. METHODS: In this study, we used serum-free short-term treated in vitro cell cultures to predict treatment response in vitro. This approach allowed us (a) to enrich specimens for brain tumor initiating cells and (b) to confront cells with a therapeutic agent before expression profiling. RESULTS: As a proof of principle we analyzed gene expression in 18 short-term serum-free cultures of high-grade gliomas enhanced for brain tumor initiating cells (BTIC) before and after in vitro treatment with the tyrosine kinase inhibitor Sunitinib. Profiles from treated progenitor cells allowed to predict therapy-induced impairment of proliferation in vitro. CONCLUSION: For the tyrosine kinase inhibitor Sunitinib used in this dataset, the approach revealed additional predictive information in comparison to the evaluation of classical signaling analysis. Public Library of Science 2014-09-30 /pmc/articles/PMC4182559/ /pubmed/25268354 http://dx.doi.org/10.1371/journal.pone.0108632 Text en © 2014 Moeckel et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Moeckel, Sylvia
Meyer, Katharina
Leukel, Petra
Heudorfer, Fabian
Seliger, Corinna
Stangl, Christina
Bogdahn, Ulrich
Proescholdt, Martin
Brawanski, Alexander
Vollmann-Zwerenz, Arabel
Riemenschneider, Markus J.
Bosserhoff, Anja-Katrin
Spang, Rainer
Hau, Peter
Response-Predictive Gene Expression Profiling of Glioma Progenitor Cells In Vitro
title Response-Predictive Gene Expression Profiling of Glioma Progenitor Cells In Vitro
title_full Response-Predictive Gene Expression Profiling of Glioma Progenitor Cells In Vitro
title_fullStr Response-Predictive Gene Expression Profiling of Glioma Progenitor Cells In Vitro
title_full_unstemmed Response-Predictive Gene Expression Profiling of Glioma Progenitor Cells In Vitro
title_short Response-Predictive Gene Expression Profiling of Glioma Progenitor Cells In Vitro
title_sort response-predictive gene expression profiling of glioma progenitor cells in vitro
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4182559/
https://www.ncbi.nlm.nih.gov/pubmed/25268354
http://dx.doi.org/10.1371/journal.pone.0108632
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