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

dc.contributor.authorXiao, Yang
dc.contributor.authorKim, Dongjoo
dc.contributor.authorDura, Burak
dc.contributor.authorZhang, Kerou
dc.contributor.authorYan, Runchen
dc.contributor.authorLi, Huamin
dc.contributor.authorHan, Edward
dc.contributor.authorIp, Joshua
dc.contributor.authorZou, Pan
dc.contributor.authorLiu, Jun
dc.contributor.authorChen, Ann Tai
dc.contributor.authorVortmeyer, Alexander O.
dc.contributor.authorZhou, Jiangbing
dc.contributor.authorFan, Rong
dc.contributor.departmentPathology and Laboratory Medicine, School of Medicineen_US
dc.date.accessioned2019-02-11T21:20:11Z
dc.date.available2019-02-11T21:20:11Z
dc.date.issued2019-02-10
dc.description.abstractThe 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.en_US
dc.eprint.versionFinal published versionen_US
dc.identifier.citationXiao, Y., Kim, D., Dura, B., Zhang, K., Yan, R., Li, H., … Fan, R. (n.d.). Ex vivo Dynamics of Human Glioblastoma Cells in a Microvasculature-on-a-Chip System Correlates with Tumor Heterogeneity and Subtypes. Advanced Science, 0(0), 1801531. https://doi.org/10.1002/advs.201801531en_US
dc.identifier.issn2198-3844en_US
dc.identifier.urihttps://hdl.handle.net/1805/18362
dc.language.isoen_USen_US
dc.publisherWileyen_US
dc.relation.isversionof10.1002/advs.201801531en_US
dc.relation.journalAdvanced Scienceen_US
dc.rightsAttribution 3.0 United States
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/
dc.sourcePublisheren_US
dc.subjectbrain tumoren_US
dc.subjectPVNen_US
dc.subjectmicrovasculature-on-a-chipen_US
dc.subjectglioblastomaen_US
dc.titleEx vivo Dynamics of Human Glioblastoma Cells in a Microvasculature-on-a-Chip System Correlates with Tumor Heterogeneity and Subtypesen_US
dc.typeArticleen_US
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