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Hau, Peter ; Moeckel, Sylvia ; Meyer, Katharina ; Leukel, Petra ; Heudorfer, Fabian ; Seliger, Corinna ; Stangl, Christina ; Bogdahn, Ulrich ; Proescholdt, Martin A. ; Brawanski, Alexander ; Vollmann-Zwerenz, Arabel ; Riemenschneider, Markus J. ; Bosserhoff, Anja-Katrin ; Spang, Rainer

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

Hau, Peter, Moeckel, Sylvia, Meyer, Katharina, Leukel, Petra, Heudorfer, Fabian, Seliger, Corinna, Stangl, Christina, Bogdahn, Ulrich, Proescholdt, Martin A., Brawanski, Alexander, Vollmann-Zwerenz, Arabel, Riemenschneider, Markus J., Bosserhoff, Anja-Katrin and Spang, Rainer (2014) Response-Predictive Gene Expression Profiling of Glioma Progenitor Cells In Vitro. PLoS ONE 9 (9), e108632.

Date of publication of this fulltext: 06 Oct 2014 13:16
Article
DOI to cite this document: 10.5283/epub.30851


Abstract

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 ...

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.



Involved Institutions


Details

Item typeArticle
Journal or Publication TitlePLoS ONE
Publisher:PUBLIC LIBRARY SCIENCE
Place of Publication:SAN FRANCISCO
Volume:9
Number of Issue or Book Chapter:9
Page Range:e108632
Date30 September 2014
InstitutionsMedicine > Lehrstuhl für Neurochirurgie
Medicine > Lehrstuhl für Neurologie
Medicine > Lehrstuhl für Pathologie
Medicine > Zentren des Universitätsklinikums Regensburg > Zentrum für Hirntumore (ZHT)
Medicine > Institut für Funktionelle Genomik > Lehrstuhl für Statistische Bioinformatik (Prof. Spang)
Informatics and Data Science > Department Computational Life Science > Lehrstuhl für Statistische Bioinformatik (Prof. Spang)
Identification Number
ValueType
10.1371/journal.pone.0108632DOI
KeywordsENDOTHELIAL GROWTH-FACTOR; STEM-CELLS; TUMOR-CELLS; SUNITINIB; CANCER; RECEPTORS; MIGRATION; IDENTIFICATION; RESISTANCE; PATTERN;
Dewey Decimal Classification600 Technology > 610 Medical sciences Medicine
StatusPublished
RefereedYes, this version has been refereed
Created at the University of RegensburgYes
URN of the UB Regensburgurn:nbn:de:bvb:355-epub-308511
Item ID30851

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