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Cell line-based xenograft mouse model of paediatric glioma stem cells mirrors the clinical course of the patient

The leading cause of cancer-related mortality among children is brain tumour, and glioblastoma multiforme (GBM) has the worst prognosis. New treatments are urgently needed, but with few cases and clinical trials in children, pre-clinical models such as patient-derived tumour xenografts (PDTX) are im...

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Autores principales: Larsson, Susanna, Wenger, Anna, Dósa, Sándor, Sabel, Magnus, Kling, Teresia, Carén, Helena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6175027/
https://www.ncbi.nlm.nih.gov/pubmed/29982329
http://dx.doi.org/10.1093/carcin/bgy091
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author Larsson, Susanna
Wenger, Anna
Dósa, Sándor
Sabel, Magnus
Kling, Teresia
Carén, Helena
author_facet Larsson, Susanna
Wenger, Anna
Dósa, Sándor
Sabel, Magnus
Kling, Teresia
Carén, Helena
author_sort Larsson, Susanna
collection PubMed
description The leading cause of cancer-related mortality among children is brain tumour, and glioblastoma multiforme (GBM) has the worst prognosis. New treatments are urgently needed, but with few cases and clinical trials in children, pre-clinical models such as patient-derived tumour xenografts (PDTX) are important. To generate these, tumour tissue is transplanted into mice, but this yields highly variable results and requires serial passaging in mice, which is time-consuming and expensive. We therefore aimed to establish a cell line-based orthotopic mouse model representative of the patient tumour. Glioma stem cell (GSC) lines derived from paediatric GBM were orthotopically transplanted into immunodeficient mice. Overall survival data were collected and histological analysis of the resulting neoplasias was performed. Genome-wide DNA methylation arrays were used for methylation and copy-number alterations (CNA) profiling. All GSC lines initiated tumours on transplantation and the survival of the mice correlated well with the survival of the patients. Xenograft tumours presented histological hallmarks of GBM, and were also classified as GBM by methylation profiling. Each xenograft tumour clustered together with its respective injected GSC line and patient tumour based on the methylation data. We have established a robust and reproducible cell line-based xenograft paediatric GBM model. The xenograft tumours accurately reflected the patient tumours and mirrored the clinical course of the patient. This model can therefore be used to assess patient response in pre-clinical studies.
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spelling pubmed-61750272018-10-11 Cell line-based xenograft mouse model of paediatric glioma stem cells mirrors the clinical course of the patient Larsson, Susanna Wenger, Anna Dósa, Sándor Sabel, Magnus Kling, Teresia Carén, Helena Carcinogenesis Carcinogenesis The leading cause of cancer-related mortality among children is brain tumour, and glioblastoma multiforme (GBM) has the worst prognosis. New treatments are urgently needed, but with few cases and clinical trials in children, pre-clinical models such as patient-derived tumour xenografts (PDTX) are important. To generate these, tumour tissue is transplanted into mice, but this yields highly variable results and requires serial passaging in mice, which is time-consuming and expensive. We therefore aimed to establish a cell line-based orthotopic mouse model representative of the patient tumour. Glioma stem cell (GSC) lines derived from paediatric GBM were orthotopically transplanted into immunodeficient mice. Overall survival data were collected and histological analysis of the resulting neoplasias was performed. Genome-wide DNA methylation arrays were used for methylation and copy-number alterations (CNA) profiling. All GSC lines initiated tumours on transplantation and the survival of the mice correlated well with the survival of the patients. Xenograft tumours presented histological hallmarks of GBM, and were also classified as GBM by methylation profiling. Each xenograft tumour clustered together with its respective injected GSC line and patient tumour based on the methylation data. We have established a robust and reproducible cell line-based xenograft paediatric GBM model. The xenograft tumours accurately reflected the patient tumours and mirrored the clinical course of the patient. This model can therefore be used to assess patient response in pre-clinical studies. Oxford University Press 2018-10 2018-06-30 /pmc/articles/PMC6175027/ /pubmed/29982329 http://dx.doi.org/10.1093/carcin/bgy091 Text en © The Author(s) 2018. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Carcinogenesis
Larsson, Susanna
Wenger, Anna
Dósa, Sándor
Sabel, Magnus
Kling, Teresia
Carén, Helena
Cell line-based xenograft mouse model of paediatric glioma stem cells mirrors the clinical course of the patient
title Cell line-based xenograft mouse model of paediatric glioma stem cells mirrors the clinical course of the patient
title_full Cell line-based xenograft mouse model of paediatric glioma stem cells mirrors the clinical course of the patient
title_fullStr Cell line-based xenograft mouse model of paediatric glioma stem cells mirrors the clinical course of the patient
title_full_unstemmed Cell line-based xenograft mouse model of paediatric glioma stem cells mirrors the clinical course of the patient
title_short Cell line-based xenograft mouse model of paediatric glioma stem cells mirrors the clinical course of the patient
title_sort cell line-based xenograft mouse model of paediatric glioma stem cells mirrors the clinical course of the patient
topic Carcinogenesis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6175027/
https://www.ncbi.nlm.nih.gov/pubmed/29982329
http://dx.doi.org/10.1093/carcin/bgy091
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