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Predictive biomarkers of resistance to hypofractionated radiotherapy in high grade glioma

BACKGROUND: Radiotherapy plays a major role in the management of high grade glioma. However, the radioresistance of glioma cells limits its efficiency and drives recurrence inside the irradiated tumor volume leading to poor outcome for patients. Stereotactic hypofractionated radiotherapy is one opti...

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Autores principales: Biau, Julian, Chautard, Emmanuel, De Koning, Leanne, Court, Frank, Pereira, Bruno, Verrelle, Pierre, Dutreix, Marie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5534104/
https://www.ncbi.nlm.nih.gov/pubmed/28754127
http://dx.doi.org/10.1186/s13014-017-0858-0
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author Biau, Julian
Chautard, Emmanuel
De Koning, Leanne
Court, Frank
Pereira, Bruno
Verrelle, Pierre
Dutreix, Marie
author_facet Biau, Julian
Chautard, Emmanuel
De Koning, Leanne
Court, Frank
Pereira, Bruno
Verrelle, Pierre
Dutreix, Marie
author_sort Biau, Julian
collection PubMed
description BACKGROUND: Radiotherapy plays a major role in the management of high grade glioma. However, the radioresistance of glioma cells limits its efficiency and drives recurrence inside the irradiated tumor volume leading to poor outcome for patients. Stereotactic hypofractionated radiotherapy is one option for recurrent high grade gliomas. Optimization of hypofractionated radiotherapy with new radiosensitizing agents requires the identification of robust druggable targets involved in radioresistance. METHODS: We generated 11 xenografted glioma models: 6 were derived from cell lines (1 WHO grade III and 5 grade IV) and 5 were patient derived xenografts (2 WHO grade III and 3 grade IV). Xenografts were treated by hypofractionated radiotherapy (6x5Gy). We searched for 89 biomarkers of radioresistance (39 total proteins, 26 phosphoproteins and 24 ratios of phosphoproteins on total proteins) using Reverse Phase Protein Array. RESULTS: Both type of xenografted models showed equivalent spectrum of sensitivity and profile of response to hypofractionated radiotherapy. We report that Phospho-EGFR/EGFR, Phospho-Chk1/Chk1 and VCP were associated to resistance to hypofractionated radiotherapy. CONCLUSIONS: Several compounds targeting EGFR or CHK1 are already in clinical use and combining them with stereotactic hypofractionated radiotherapy for recurrent high grade gliomas might be of particular interest. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13014-017-0858-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-55341042017-08-03 Predictive biomarkers of resistance to hypofractionated radiotherapy in high grade glioma Biau, Julian Chautard, Emmanuel De Koning, Leanne Court, Frank Pereira, Bruno Verrelle, Pierre Dutreix, Marie Radiat Oncol Research BACKGROUND: Radiotherapy plays a major role in the management of high grade glioma. However, the radioresistance of glioma cells limits its efficiency and drives recurrence inside the irradiated tumor volume leading to poor outcome for patients. Stereotactic hypofractionated radiotherapy is one option for recurrent high grade gliomas. Optimization of hypofractionated radiotherapy with new radiosensitizing agents requires the identification of robust druggable targets involved in radioresistance. METHODS: We generated 11 xenografted glioma models: 6 were derived from cell lines (1 WHO grade III and 5 grade IV) and 5 were patient derived xenografts (2 WHO grade III and 3 grade IV). Xenografts were treated by hypofractionated radiotherapy (6x5Gy). We searched for 89 biomarkers of radioresistance (39 total proteins, 26 phosphoproteins and 24 ratios of phosphoproteins on total proteins) using Reverse Phase Protein Array. RESULTS: Both type of xenografted models showed equivalent spectrum of sensitivity and profile of response to hypofractionated radiotherapy. We report that Phospho-EGFR/EGFR, Phospho-Chk1/Chk1 and VCP were associated to resistance to hypofractionated radiotherapy. CONCLUSIONS: Several compounds targeting EGFR or CHK1 are already in clinical use and combining them with stereotactic hypofractionated radiotherapy for recurrent high grade gliomas might be of particular interest. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13014-017-0858-0) contains supplementary material, which is available to authorized users. BioMed Central 2017-07-28 /pmc/articles/PMC5534104/ /pubmed/28754127 http://dx.doi.org/10.1186/s13014-017-0858-0 Text en © The Author(s). 2017 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
Biau, Julian
Chautard, Emmanuel
De Koning, Leanne
Court, Frank
Pereira, Bruno
Verrelle, Pierre
Dutreix, Marie
Predictive biomarkers of resistance to hypofractionated radiotherapy in high grade glioma
title Predictive biomarkers of resistance to hypofractionated radiotherapy in high grade glioma
title_full Predictive biomarkers of resistance to hypofractionated radiotherapy in high grade glioma
title_fullStr Predictive biomarkers of resistance to hypofractionated radiotherapy in high grade glioma
title_full_unstemmed Predictive biomarkers of resistance to hypofractionated radiotherapy in high grade glioma
title_short Predictive biomarkers of resistance to hypofractionated radiotherapy in high grade glioma
title_sort predictive biomarkers of resistance to hypofractionated radiotherapy in high grade glioma
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5534104/
https://www.ncbi.nlm.nih.gov/pubmed/28754127
http://dx.doi.org/10.1186/s13014-017-0858-0
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