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Ex vivo Dynamics of Human Glioblastoma Cells in a Microvasculature‐on‐a‐Chip System Correlates with Tumor Heterogeneity and Subtypes

The perivascular niche (PVN) plays an essential role in brain tumor stem‐like cell (BTSC) fate control, tumor invasion, and therapeutic resistance. Here, a microvasculature‐on‐a‐chip system as a PVN model is used to evaluate the ex vivo dynamics of BTSCs from ten glioblastoma patients. BTSCs are fou...

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Autores principales: Xiao, Yang, Kim, Dongjoo, Dura, Burak, Zhang, Kerou, Yan, Runchen, Li, Huamin, Han, Edward, Ip, Joshua, Zou, Pan, Liu, Jun, Chen, Ann Tai, Vortmeyer, Alexander O., Zhou, Jiangbing, Fan, Rong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6468969/
https://www.ncbi.nlm.nih.gov/pubmed/31016107
http://dx.doi.org/10.1002/advs.201801531
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author Xiao, Yang
Kim, Dongjoo
Dura, Burak
Zhang, Kerou
Yan, Runchen
Li, Huamin
Han, Edward
Ip, Joshua
Zou, Pan
Liu, Jun
Chen, Ann Tai
Vortmeyer, Alexander O.
Zhou, Jiangbing
Fan, Rong
author_facet Xiao, Yang
Kim, Dongjoo
Dura, Burak
Zhang, Kerou
Yan, Runchen
Li, Huamin
Han, Edward
Ip, Joshua
Zou, Pan
Liu, Jun
Chen, Ann Tai
Vortmeyer, Alexander O.
Zhou, Jiangbing
Fan, Rong
author_sort Xiao, Yang
collection PubMed
description The perivascular niche (PVN) plays an essential role in brain tumor stem‐like cell (BTSC) fate control, tumor invasion, and therapeutic resistance. Here, a microvasculature‐on‐a‐chip system as a PVN model is used to evaluate the ex vivo dynamics of BTSCs from ten glioblastoma patients. BTSCs are found to preferentially localize in the perivascular zone, where they exhibit either the lowest motility, as in quiescent cells, or the highest motility, as in the invasive phenotype, with migration over long distance. These results indicate that PVN is a niche for BTSCs, while the microvascular tracks may serve as a path for tumor cell migration. The degree of colocalization between tumor cells and microvessels varies significantly across patients. To validate these results, single‐cell transcriptome sequencing (10 patients and 21 750 single cells in total) is performed to identify tumor cell subtypes. The colocalization coefficient is found to positively correlate with proneural (stem‐like) or mesenchymal (invasive) but not classical (proliferative) tumor cells. Furthermore, a gene signature profile including PDGFRA correlates strongly with the “homing” of tumor cells to the PVN. These findings demonstrate that the model can recapitulate in vivo tumor cell dynamics and heterogeneity, representing a new route to study patient‐specific tumor cell functions.
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spelling pubmed-64689692019-04-23 Ex vivo Dynamics of Human Glioblastoma Cells in a Microvasculature‐on‐a‐Chip System Correlates with Tumor Heterogeneity and Subtypes Xiao, Yang Kim, Dongjoo Dura, Burak Zhang, Kerou Yan, Runchen Li, Huamin Han, Edward Ip, Joshua Zou, Pan Liu, Jun Chen, Ann Tai Vortmeyer, Alexander O. Zhou, Jiangbing Fan, Rong Adv Sci (Weinh) Full Papers The perivascular niche (PVN) plays an essential role in brain tumor stem‐like cell (BTSC) fate control, tumor invasion, and therapeutic resistance. Here, a microvasculature‐on‐a‐chip system as a PVN model is used to evaluate the ex vivo dynamics of BTSCs from ten glioblastoma patients. BTSCs are found to preferentially localize in the perivascular zone, where they exhibit either the lowest motility, as in quiescent cells, or the highest motility, as in the invasive phenotype, with migration over long distance. These results indicate that PVN is a niche for BTSCs, while the microvascular tracks may serve as a path for tumor cell migration. The degree of colocalization between tumor cells and microvessels varies significantly across patients. To validate these results, single‐cell transcriptome sequencing (10 patients and 21 750 single cells in total) is performed to identify tumor cell subtypes. The colocalization coefficient is found to positively correlate with proneural (stem‐like) or mesenchymal (invasive) but not classical (proliferative) tumor cells. Furthermore, a gene signature profile including PDGFRA correlates strongly with the “homing” of tumor cells to the PVN. These findings demonstrate that the model can recapitulate in vivo tumor cell dynamics and heterogeneity, representing a new route to study patient‐specific tumor cell functions. John Wiley and Sons Inc. 2019-02-10 /pmc/articles/PMC6468969/ /pubmed/31016107 http://dx.doi.org/10.1002/advs.201801531 Text en © 2019 The Authors. Published by WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Full Papers
Xiao, Yang
Kim, Dongjoo
Dura, Burak
Zhang, Kerou
Yan, Runchen
Li, Huamin
Han, Edward
Ip, Joshua
Zou, Pan
Liu, Jun
Chen, Ann Tai
Vortmeyer, Alexander O.
Zhou, Jiangbing
Fan, Rong
Ex vivo Dynamics of Human Glioblastoma Cells in a Microvasculature‐on‐a‐Chip System Correlates with Tumor Heterogeneity and Subtypes
title Ex vivo Dynamics of Human Glioblastoma Cells in a Microvasculature‐on‐a‐Chip System Correlates with Tumor Heterogeneity and Subtypes
title_full Ex vivo Dynamics of Human Glioblastoma Cells in a Microvasculature‐on‐a‐Chip System Correlates with Tumor Heterogeneity and Subtypes
title_fullStr Ex vivo Dynamics of Human Glioblastoma Cells in a Microvasculature‐on‐a‐Chip System Correlates with Tumor Heterogeneity and Subtypes
title_full_unstemmed Ex vivo Dynamics of Human Glioblastoma Cells in a Microvasculature‐on‐a‐Chip System Correlates with Tumor Heterogeneity and Subtypes
title_short Ex vivo Dynamics of Human Glioblastoma Cells in a Microvasculature‐on‐a‐Chip System Correlates with Tumor Heterogeneity and Subtypes
title_sort ex vivo dynamics of human glioblastoma cells in a microvasculature‐on‐a‐chip system correlates with tumor heterogeneity and subtypes
topic Full Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6468969/
https://www.ncbi.nlm.nih.gov/pubmed/31016107
http://dx.doi.org/10.1002/advs.201801531
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