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dc.contributor.authorKim, Yangjin
dc.contributor.authorKang, Hyunji
dc.contributor.authorPowathil, Gibin
dc.contributor.authorKim, Hyeongi
dc.contributor.authorTrucu, Dumitru
dc.contributor.authorLee, Wanho
dc.contributor.authorLawler, Sean
dc.contributor.authorChaplain, Mark
dc.identifier.citationKim , Y , Kang , H , Powathil , G , Kim , H , Trucu , D , Lee , W , Lawler , S & Chaplain , M 2018 , ' Role of extracellular matrix and microenvironment in regulation of tumor growth and LAR-mediated invasion in glioblastoma ' , PLoS ONE , vol. 13 , no. 10 , e0204865 .
dc.identifier.otherPURE: 255933021
dc.identifier.otherPURE UUID: 25f21d16-56d2-4023-9528-79d04eaabc49
dc.identifier.otherScopus: 85054432255
dc.identifier.otherORCID: /0000-0001-5727-2160/work/55378984
dc.identifier.otherWOS: 000446383500053
dc.descriptionThis paper was supported by Konkuk University in 2014.en
dc.description.abstractThe cellular dispersion and therapeutic control of glioblastoma, the most aggressive type of primary brain cancer, depends critically on the migration patterns after surgery and intracellular responses of the individual cancer cells in response to external biochemical cues in the microenvironment. Recent studies have shown that miR-451 regulates downstream molecules including AMPK/CAB39/MARK and mTOR to determine the balance between rapid proliferation and invasion in response to metabolic stress in the harsh tumor microenvironment. Surgical removal of the main tumor is inevitably followed by recurrence of the tumor due to inaccessibility of dispersed tumor cells in normal brain tissue. In order to address this complex process of cell proliferation and invasion and its response to conventional treatment, we propose a mathematical model that analyzes the intracellular dynamics of the miR-451-AMPK- mTOR-cell cycle signaling pathway within a cell. The model identifies a key mechanism underlying the molecular switches between proliferative phase and migratory phase in response to metabolic stress in response to fluctuating glucose levels. We show how up- or down-regulation of components in these pathways affects the key cellular decision to infiltrate or proliferate in a complex microenvironment in the absence and presence of time delays and stochastic noise. Glycosylated chondroitin sulfate proteoglycans (CSPGs), a major component of the extracellular matrix (ECM) in the brain, contribute to the physical structure of the local brain microenvironment but also induce or inhibit glioma invasion by regulating the dynamics of the CSPG receptor LAR as well as the spatiotemporal activation status of resident astrocytes and tumor-associated microglia. Using a multi-scale mathematical model, we investigate a CSPG-induced switch between invasive and non-invasive tumors through the coordination of ECM-cell adhesion and dynamic changes in stromal cells. We show that the CSPG-rich microenvironment is associated with non-invasive tumor lesions through LAR-CSGAG binding while the absence of glycosylated CSPGs induce the critical glioma invasion. We illustrate how high molecular weight CSPGs can regulate the exodus of local reactive astrocytes from the main tumor lesion, leading to encapsulation of non-invasive tumor and inhibition of tumor invasion. These different CSPG conditions also change the spatial profiles of ramified and activated microglia. The complex distribution of CSPGs in the tumor microenvironment can determine the nonlinear invasion behaviors of glioma cells, which suggests the need for careful therapeutic strategies.
dc.relation.ispartofPLoS ONEen
dc.rightsCopyright: © 2018 Kim et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en
dc.subjectQA Mathematicsen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.titleRole of extracellular matrix and microenvironment in regulation of tumor growth and LAR-mediated invasion in glioblastomaen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. School of Mathematics and Statisticsen
dc.contributor.institutionUniversity of St Andrews. Applied Mathematicsen
dc.description.statusPeer revieweden

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