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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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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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. |
format | Online Article Text |
id | pubmed-4182559 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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
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title_full | Response-Predictive Gene Expression Profiling of Glioma Progenitor Cells In Vitro
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title_fullStr | Response-Predictive Gene Expression Profiling of Glioma Progenitor Cells In Vitro
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title_full_unstemmed | Response-Predictive Gene Expression Profiling of Glioma Progenitor Cells In Vitro
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title_short | Response-Predictive Gene Expression Profiling of Glioma Progenitor Cells In Vitro
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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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