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Published in: Journal of Neuro-Oncology 2/2017

Open Access 01-01-2017 | Laboratory Investigation

Identification of two distinct mesenchymal stromal cell populations in human malignant glioma

Authors: Andreas Svensson, Tania Ramos-Moreno, Sofia Eberstål, Stefan Scheding, Johan Bengzon

Published in: Journal of Neuro-Oncology | Issue 2/2017

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Abstract

Gene profiling has revealed that malignant gliomas can be divided into four distinct molecular subtypes, where tumors with a mesenchymal gene expression are correlated with short survival. The present investigation was undertaken to clarify whether human malignant gliomas contain endogenous mesenchymal stromal cells (MSC), fulfilling consensus criteria defined by The International Society for Cellular Therapy, recruited from the host. We found that MSC-like cells can be isolated from primary human malignant gliomas. Two distinct MSC-like cell populations, differing in their expression of the CD90 surface marker, were discovered after cell sorting. RNA sequencing revealed further genetic differences between these two cell populations and MSC-like cells lacking CD90 produced higher amounts of VEGF and PGE2 compared to cells with the true MSC phenotype, implying that the CD90 MSC-like cells most probably are more active in tumor vascularization and immunosuppression than their CD90+ counterpart. The results highlight the CD90 subpopulation as an important tumor component, however, its functional effects in glioma remains to be resolved. Using the protocols presented here, it will be possible to isolate, characterize and analyze brain tumor-derived MSC-like cells in more detail and to further test their functions in vitro and in in vivo xenograft models of glioma.
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Metadata
Title
Identification of two distinct mesenchymal stromal cell populations in human malignant glioma
Authors
Andreas Svensson
Tania Ramos-Moreno
Sofia Eberstål
Stefan Scheding
Johan Bengzon
Publication date
01-01-2017
Publisher
Springer US
Published in
Journal of Neuro-Oncology / Issue 2/2017
Print ISSN: 0167-594X
Electronic ISSN: 1573-7373
DOI
https://doi.org/10.1007/s11060-016-2302-y

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