{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T06:11:24Z","timestamp":1772172684454,"version":"3.50.1"},"update-to":[{"DOI":"10.1371\/journal.pcbi.1007672","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2020,3,9]],"date-time":"2020-03-09T00:00:00Z","timestamp":1583712000000}}],"reference-count":73,"publisher":"Public Library of Science (PLoS)","issue":"2","license":[{"start":{"date-parts":[[2020,2,26]],"date-time":"2020-02-26T00:00:00Z","timestamp":1582675200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000913","name":"James S. McDonnell Foundation","doi-asserted-by":"publisher","award":["220020264"],"award-info":[{"award-number":["220020264"]}],"id":[{"id":"10.13039\/100000913","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.ploscompbiol.org"],"crossmark-restriction":false},"short-container-title":["PLoS Comput Biol"],"DOI":"10.1371\/journal.pcbi.1007672","type":"journal-article","created":{"date-parts":[[2020,2,26]],"date-time":"2020-02-26T13:35:41Z","timestamp":1582724141000},"page":"e1007672","update-policy":"https:\/\/doi.org\/10.1371\/journal.pcbi.corrections_policy","source":"Crossref","is-referenced-by-count":38,"title":["From cells to tissue: How cell scale heterogeneity impacts glioblastoma growth and treatment response"],"prefix":"10.1371","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9831-6676","authenticated-orcid":true,"given":"Jill A.","family":"Gallaher","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4680-7796","authenticated-orcid":true,"given":"Susan C.","family":"Massey","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6391-4155","authenticated-orcid":true,"given":"Andrea","family":"Hawkins-Daarud","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1894-7959","authenticated-orcid":true,"given":"Sonal S.","family":"Noticewala","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1557-159X","authenticated-orcid":true,"given":"Russell C.","family":"Rockne","sequence":"additional","affiliation":[]},{"given":"Sandra K.","family":"Johnston","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8424-8331","authenticated-orcid":true,"given":"Luis","family":"Gonzalez-Cuyar","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2527-0667","authenticated-orcid":true,"given":"Joseph","family":"Juliano","sequence":"additional","affiliation":[]},{"given":"Orlando","family":"Gil","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2464-6119","authenticated-orcid":true,"given":"Kristin R.","family":"Swanson","sequence":"additional","affiliation":[]},{"given":"Peter","family":"Canoll","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2536-4383","authenticated-orcid":true,"given":"Alexander R. A.","family":"Anderson","sequence":"additional","affiliation":[]}],"member":"340","published-online":{"date-parts":[[2020,2,26]]},"reference":[{"issue":"5","key":"pcbi.1007672.ref001","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1007\/s00401-007-0293-7","article-title":"Diffuse glioma growth: A guerilla war","volume":"114","author":"A Claes","year":"2007","journal-title":"Acta Neuropathol"},{"issue":"12","key":"pcbi.1007672.ref002","doi-asserted-by":"crossref","first-page":"6242","DOI":"10.1073\/pnas.97.12.6242","article-title":"Glioblastoma multiforme: The terminator","volume":"97","author":"EC Holland","year":"2000","journal-title":"Proc Natl Acad Sci"},{"key":"pcbi.1007672.ref003","first-page":"190561","article-title":"Combining radiomics and mathematical modeling to elucidate mechanisms of resistance to immune checkpoint blockade in non-small cell lung cancer","author":"D Saeed-Vafa","year":"2017","journal-title":"Bioarxiv"},{"issue":"April","key":"pcbi.1007672.ref004","first-page":"1","article-title":"The importance of combining MRI and large-scale digital histology in neuroimaging studies of brain connectivity and disease","volume":"6","author":"J Annese","year":"2012","journal-title":"Front Neuroinform"},{"issue":"24","key":"pcbi.1007672.ref005","doi-asserted-by":"crossref","first-page":"7366","DOI":"10.1158\/0008-5472.CAN-11-1399","article-title":"Quantifying the role of angiogenesis in malignant progression of gliomas: In Silico modeling integrates imaging and histology","volume":"71","author":"KR Swanson","year":"2011","journal-title":"Cancer Res"},{"issue":"11","key":"pcbi.1007672.ref006","first-page":"1","article-title":"Multi-parametric MRI and texture analysis to visualize spatial histologic heterogeneity and tumor extent in glioblastoma","volume":"10","author":"LS Hu","year":"2015","journal-title":"PLoS One"},{"issue":"1","key":"pcbi.1007672.ref007","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1093\/neuonc\/now135","article-title":"Radiogenomics to characterize regional genetic heterogeneity in glioblastoma","volume":"19","author":"LS Hu","year":"2017","journal-title":"Neuro Oncol"},{"key":"pcbi.1007672.ref008","doi-asserted-by":"crossref","first-page":"vi157","DOI":"10.1093\/neuonc\/nox168.641","article-title":"Accurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer Learning","author":"L Hu","year":"2017","journal-title":"Neuro Oncol"},{"issue":"10","key":"pcbi.1007672.ref009","doi-asserted-by":"crossref","first-page":"4009","DOI":"10.1073\/pnas.1219747110","article-title":"Intratumor heterogeneity in human glioblastoma reflects cancer evolutionary dynamics","volume":"110","author":"A Sottoriva","year":"2013","journal-title":"Proc Natl Acad Sci"},{"key":"pcbi.1007672.ref010","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3389\/fonc.2015.00055","article-title":"Molecular Heterogeneity in Glioblastoma: Potential Clinical Implications","volume":"5","author":"NR Parker","year":"2015","journal-title":"Front Oncol"},{"key":"pcbi.1007672.ref011","doi-asserted-by":"crossref","first-page":"7979","DOI":"10.1038\/srep07979","article-title":"The evidence of glioblastoma heterogeneity","volume":"5","author":"A Soeda","year":"2015","journal-title":"Sci Rep"},{"issue":"3","key":"pcbi.1007672.ref012","doi-asserted-by":"crossref","first-page":"481","DOI":"10.1007\/s11060-014-1499-x","article-title":"Advances in genetic and epigenetic analyses of gliomas: a neuropathological perspective","volume":"119","author":"NM Tsankova","year":"2014","journal-title":"J Neurooncol"},{"issue":"1","key":"pcbi.1007672.ref013","doi-asserted-by":"crossref","first-page":"226","DOI":"10.3390\/cancers6010226","article-title":"Glioblastoma multiforme:A look inside its heterogeneous nature","volume":"6","author":"M Inda M del","year":"2014","journal-title":"Cancers (Basel)"},{"issue":"25","key":"pcbi.1007672.ref014","doi-asserted-by":"crossref","first-page":"6781","DOI":"10.1523\/JNEUROSCI.0514-06.2006","article-title":"Glial Progenitors in Adult White Matter Are Driven to Form Malignant Gliomas by Platelet-Derived Growth Factor-Expressing Retroviruses","volume":"26","author":"MC Assanah","year":"2006","journal-title":"J Neurosci"},{"issue":"1","key":"pcbi.1007672.ref015","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1038\/nn.4190","article-title":"An epigenetic gateway to brain tumor cell identity","volume":"19","author":"SC Mack","year":"2015","journal-title":"Nat Neurosci"},{"issue":"2","key":"pcbi.1007672.ref016","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1016\/j.bbcan.2016.01.005","article-title":"Do cell-autonomous and non-cell-autonomous effects drive the structure of tumor ecosystems?","volume":"1865","author":"T Tissot","year":"2016","journal-title":"Biochim Biophys Acta\u2014Rev Cancer"},{"issue":"1","key":"pcbi.1007672.ref017","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1148\/radiol.13122697","article-title":"Quantitative Imaging in Cancer Evolution and Ecology","volume":"269","author":"RA Gatenby","year":"2013","journal-title":"Radiology"},{"issue":"1","key":"pcbi.1007672.ref018","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1002\/jmri.25497","article-title":"Identifying Spatial Imaging Biomarkers of Glioblastoma Multiforme for Survival Group Prediction","volume":"46","author":"M Zhou","year":"2016","journal-title":"J Magn Reson Imaging"},{"issue":"2","key":"pcbi.1007672.ref019","doi-asserted-by":"crossref","first-page":"563","DOI":"10.1148\/radiol.2015151169","article-title":"Radiomics: Images Are More than Pictures, They Are Data","volume":"278","author":"RJ Gillies","year":"2016","journal-title":"Radiology"},{"issue":"2","key":"pcbi.1007672.ref020","doi-asserted-by":"crossref","first-page":"92","DOI":"10.3109\/03009734.2012.654860","article-title":"PDGF in gliomas: More than just a growth factor?","volume":"117","author":"N Lindberg","year":"2012","journal-title":"Ups J Med Sci"},{"issue":"3","key":"pcbi.1007672.ref021","doi-asserted-by":"crossref","first-page":"709","DOI":"10.1152\/physrev.00036.2013","article-title":"Glial Cells as Progenitors and Stem Cells: New Roles in the Healthy and Diseased Brain","volume":"94","author":"L Dimou","year":"2014","journal-title":"Physiol Rev"},{"key":"pcbi.1007672.ref022","article-title":"Lesion Dynamics Under Varying Paracrine PDGF Signaling in Brain Tissue","author":"SC Massey","year":"2019","journal-title":"Bull Math Biol"},{"issue":"4","key":"pcbi.1007672.ref023","doi-asserted-by":"crossref","first-page":"232","DOI":"10.1016\/S0960-9822(01)00075-6","article-title":"Control of progenitor cell number by mitogen supply and demand","volume":"11","author":"P Van Heyningen","year":"2001","journal-title":"Curr Biol"},{"issue":"13","key":"pcbi.1007672.ref024","first-page":"3729","article-title":"Platelet-derived growth factor (PDGF) autocrine signaling regulates survival and mitogenic pathways in glioblastoma cells: Evidence that the novel PDGF-C and PDGF-D ligands may play a role in the development of brain tumors","volume":"62","author":"NA Lokker","year":"2002","journal-title":"Cancer Res"},{"issue":"16","key":"pcbi.1007672.ref025","doi-asserted-by":"crossref","first-page":"1835","DOI":"10.1002\/glia.20895","article-title":"PDGF stimulates the massive expansion of glial progenitors in the neonatal forebrain","volume":"57","author":"MC Assanah","year":"2009","journal-title":"Glia"},{"issue":"2","key":"pcbi.1007672.ref026","doi-asserted-by":"crossref","first-page":"251","DOI":"10.3109\/03009734.2012.676574","article-title":"Glioblastoma-a moving target","volume":"117","author":"B Westermark","year":"2012","journal-title":"Ups J Med Sci"},{"issue":"11","key":"pcbi.1007672.ref027","doi-asserted-by":"crossref","first-page":"1247","DOI":"10.1101\/gad.193565.112","article-title":"Platelet-derived growth factor receptors differentially inform intertumoral and intratumoral heterogeneity","volume":"26","author":"Y Kim","year":"2012","journal-title":"Genes Dev"},{"issue":"5","key":"pcbi.1007672.ref028","first-page":"30","article-title":"Glioblastoma models reveal the connection between adult glial progenitors and the proneural phenotype","volume":"6","author":"L Lei","year":"2011","journal-title":"PLoS One"},{"issue":"2","key":"pcbi.1007672.ref029","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/j.canlet.2005.02.002","article-title":"Platelet-derived growth factor (PDGF) and glial tumorigenesis","volume":"232","author":"AH Shih","year":"2006","journal-title":"Cancer Lett"},{"issue":"2","key":"pcbi.1007672.ref030","doi-asserted-by":"crossref","first-page":"99","DOI":"10.3109\/03009734.2012.665097","article-title":"PDGF and PDGF receptors in glioma","volume":"117","author":"I Nazarenko","year":"2012","journal-title":"Ups J Med Sci"},{"issue":"1","key":"pcbi.1007672.ref031","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s12885-018-4281-1","article-title":"Modeling treatment-dependent glioma growth including a dormant tumor cell subpopulation","volume":"18","author":"MA B\u00f6ttcher","year":"2018","journal-title":"BMC Cancer"},{"issue":"1","key":"pcbi.1007672.ref032","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1371\/journal.pcbi.1005924","article-title":"Mathematical modeling identifies optimum lapatinib dosing schedules for the treatment of glioblastoma patients","volume":"14","author":"S Stein","year":"2018","journal-title":"PLoS Comput Biol"},{"issue":"73","key":"pcbi.1007672.ref033","doi-asserted-by":"crossref","first-page":"1757","DOI":"10.1098\/rsif.2012.0030","article-title":"Glial progenitor cell recruitment drives aggressive glioma growth: mathematical and experimental modelling","volume":"9","author":"SC Massey","year":"2012","journal-title":"J R Soc Interface"},{"key":"pcbi.1007672.ref034","first-page":"1","article-title":"Simulating PDGF-Driven Glioma Growth and Invasion in an Anatomically Accurate Brain Domain","author":"SC Massey","year":"2017","journal-title":"Bull Math Biol"},{"issue":"5","key":"pcbi.1007672.ref035","doi-asserted-by":"crossref","first-page":"1259","DOI":"10.1007\/s11538-017-0271-8","article-title":"A Patient-Specific Anisotropic Diffusion Model for Brain Tumour Spread","volume":"80","author":"A Swan","year":"2018","journal-title":"Bull Math Biol"},{"issue":"136","key":"pcbi.1007672.ref036","doi-asserted-by":"crossref","first-page":"20170490","DOI":"10.1098\/rsif.2017.0490","article-title":"The biology and mathematical modelling of glioma invasion: a review","volume":"14","author":"JCL Alfonso","year":"2017","journal-title":"J R Soc Interface"},{"issue":"1","key":"pcbi.1007672.ref037","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1097\/nen.0b013e31802d9000","article-title":"The Evolution of Mathematical Modeling of Glioma Proliferation and Invasion","volume":"66","author":"HLP Harpold","year":"2007","journal-title":"J Neuropathol Exp Neurol"},{"issue":"1","key":"pcbi.1007672.ref038","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1371\/journal.pone.0169434","article-title":"Single cell mathematical model successfully replicates key features of GBM: Go-or-grow is not necessary","volume":"12","author":"E Scribner","year":"2017","journal-title":"PLoS One"},{"issue":"1","key":"pcbi.1007672.ref039","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1093\/imammb\/dqq011","article-title":"\u201cGo or grow\u201d: The key to the emergence of invasion in tumour progression?","volume":"29","author":"H Hatzikirou","year":"2012","journal-title":"Math Med Biol"},{"issue":"3","key":"pcbi.1007672.ref040","doi-asserted-by":"crossref","first-page":"603","DOI":"10.1016\/j.cell.2013.12.029","article-title":"Mathematical modeling of pdgf-driven glioblastoma reveals optimized radiation dosing schedules","volume":"156","author":"K Leder","year":"2014","journal-title":"Cell"},{"key":"pcbi.1007672.ref041","doi-asserted-by":"crossref","first-page":"S59","DOI":"10.1016\/j.neuroimage.2007.03.008","article-title":"Computer simulation of glioma growth and morphology","volume":"37","author":"HB Frieboes","year":"2007","journal-title":"Neuroimage"},{"issue":"6","key":"pcbi.1007672.ref042","doi-asserted-by":"crossref","first-page":"980","DOI":"10.1111\/j.1365-2184.2008.00563.x","article-title":"Evolutionary game theory elucidates the role of glycolysis in glioma progression and invasion","volume":"41","author":"D Basanta","year":"2008","journal-title":"Cell Prolif"},{"issue":"18","key":"pcbi.1007672.ref043","doi-asserted-by":"crossref","first-page":"5071","DOI":"10.1158\/1078-0432.CCR-12-0084","article-title":"A tumor growth inhibition model for low-grade glioma treated with chemotherapy or radiotherapy","volume":"18","author":"B Ribba","year":"2012","journal-title":"Clin Cancer Res"},{"key":"pcbi.1007672.ref044","first-page":"8","article-title":"Discriminating Survival Outcomes in Patients with Glioblastoma Using a Simulation-Based, Patient-Specific Response Metric","author":"ML Neal","year":"2013","journal-title":"PLoS One"},{"issue":"1","key":"pcbi.1007672.ref045","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.jns.2003.06.001","article-title":"Virtual and real brain tumors: Using mathematical modeling to quantify glioma growth and invasion","volume":"216","author":"KR Swanson","year":"2003","journal-title":"J Neurol Sci"},{"issue":"10","key":"pcbi.1007672.ref046","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1371\/journal.pone.0099057","article-title":"Patient-specific metrics of invasiveness reveal significant prognostic benefit of resection in a predictable subset of gliomas","volume":"9","author":"AL Baldock","year":"2014","journal-title":"PLoS One"},{"issue":"5","key":"pcbi.1007672.ref047","doi-asserted-by":"crossref","first-page":"846","DOI":"10.1007\/s11538-015-0067-7","article-title":"Patient-Specific Mathematical Neuro-Oncology: Using a Simple Proliferation and Invasion Tumor Model to Inform Clinical Practice","volume":"77","author":"PR Jackson","year":"2015","journal-title":"Bull Math Biol"},{"issue":"6","key":"pcbi.1007672.ref048","doi-asserted-by":"crossref","first-page":"779","DOI":"10.1093\/neuonc\/nou027","article-title":"Invasion and proliferation kinetics in enhancing gliomas predict IDH1 mutation status","volume":"16","author":"AL Baldock","year":"2014","journal-title":"Neuro Oncol"},{"issue":"1","key":"pcbi.1007672.ref049","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1016\/j.jneumeth.2014.11.005","article-title":"Anatomical landmarks for registration of experimental image data to volumetric rodent brain atlasing templates","volume":"240","author":"M Sergejeva","year":"2015","journal-title":"J Neurosci Methods"},{"key":"pcbi.1007672.ref050","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1016\/j.neuroimage.2014.12.080","article-title":"Waxholm Space atlas of the rat brain hippocampal region: Three-dimensional delineations based on magnetic resonance and diffusion tenor imaging","volume":"108","author":"LJ Kjonigsen","year":"2015","journal-title":"Neuroimage"},{"key":"pcbi.1007672.ref051","doi-asserted-by":"crossref","first-page":"374","DOI":"10.1016\/j.neuroimage.2014.04.001","article-title":"Waxholm Space atlas of the Sprague Dawley rat brain","volume":"97","author":"EA Papp","year":"2014","journal-title":"Neuroimage"},{"issue":"3","key":"pcbi.1007672.ref052","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1007\/s12021-014-9258-x","article-title":"The Scalable Brain Atlas: Instant Web-Based Access to Public Brain Atlases and Related Content","volume":"13","author":"R Bakker","year":"2015","journal-title":"Neuroinformatics"},{"issue":"4","key":"pcbi.1007672.ref053","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1038\/nm837","article-title":"Identification and isolation of multipotential neural progenitor cells from the subcortical white matter of the adult human brain","volume":"9","author":"MC Nunes","year":"2003","journal-title":"Nat Med"},{"issue":"22","key":"pcbi.1007672.ref054","doi-asserted-by":"crossref","first-page":"9986","DOI":"10.1523\/JNEUROSCI.19-22-09986.1999","article-title":"Identification, Isolation, and Promoter-Defined Separation of Mitotic Oligodendrocyte Progenitor Cells from the Adult Human Subcortical White Matter","volume":"19","author":"NS Roy","year":"1999","journal-title":"J Neurosci"},{"issue":"53","key":"pcbi.1007672.ref055","doi-asserted-by":"crossref","first-page":"799","DOI":"10.1002\/glia.20334","article-title":"Transplanted Glioma cells migrate and proliferate on host brain vasculature: a dynamic analysis","volume":"55","author":"A Farin","year":"2006","journal-title":"Glia"},{"key":"pcbi.1007672.ref056","first-page":"1023","article-title":"Growth factor profiles of human gliomas Do non-tumour cells contribute to tumour growth in glioma?","author":"Der Valk P Van","year":"1997","journal-title":"Ann Oncol"},{"issue":"4","key":"pcbi.1007672.ref057","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1007\/s00407-012-0098-5","article-title":"The Hill equation and the origin of quantitative pharmacology","volume":"66","author":"R Gesztelyi","year":"2012","journal-title":"Arch Hist Exact Sci"},{"key":"pcbi.1007672.ref058","first-page":"1","article-title":"Hybrid approach for parameter estimation in agent-based models","author":"JA Gallaher","year":"2017","journal-title":"Biorxiv"},{"issue":"2","key":"pcbi.1007672.ref059","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1002\/cncr.23562","article-title":"Incidence of early pseudo-progression in a cohort of malignant glioma patients treated with chemoirradiation with temozolomide","volume":"113","author":"W Taal","year":"2008","journal-title":"Cancer"},{"issue":"3","key":"pcbi.1007672.ref060","doi-asserted-by":"crossref","first-page":"435","DOI":"10.1007\/s11060-013-1330-0","article-title":"The role of imaging in the management of progressive glioblastoma","volume":"118","author":"TC Ryken","year":"2014","journal-title":"J Neurooncol"},{"issue":"4","key":"pcbi.1007672.ref061","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1091\/mbc.e11-01-0039","article-title":"Direct inhibition of myosin II effectively blocks glioma invasion in the presence of multiple motogens","volume":"23","author":"S Ivkovic","year":"2012","journal-title":"Mol Biol Cell"},{"issue":"2","key":"pcbi.1007672.ref062","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1002\/med.20078","article-title":"Can anti-migratory drugs be screened in vitro? A review of 2D and 3D assays for the quantitative analysis of cell migration","volume":"27","author":"C Decaestecker","year":"2007","journal-title":"Med Res Rev"},{"key":"pcbi.1007672.ref063","first-page":"2010","article-title":"Mesenchymal migration as a therapeutic target in glioblastoma","author":"GM O\u2019Neill","year":"2010","journal-title":"J Oncol"},{"issue":"5","key":"pcbi.1007672.ref064","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1016\/j.tips.2013.03.001","article-title":"Targeting tumor cell motility as a strategy against invasion and metastasis","volume":"34","author":"A Wells","year":"2013","journal-title":"Trends Pharmacol Sci"},{"key":"pcbi.1007672.ref065","doi-asserted-by":"crossref","first-page":"3357","DOI":"10.1091\/mbc.e08-03-0319","article-title":"The role of myosin II in glioma invasion of the Brain","volume":"19","author":"C Beadle","year":"2008","journal-title":"Mol Biol Cell"},{"issue":"3","key":"pcbi.1007672.ref066","doi-asserted-by":"crossref","first-page":"1013","DOI":"10.3892\/or.2012.1902","article-title":"MiR-218 reverses high invasiveness of glioblastoma cells by targeting the oncogenic transcription factor LEF1","volume":"28","author":"Y Liu","year":"2012","journal-title":"Oncol Rep"},{"issue":"5","key":"pcbi.1007672.ref067","first-page":"257","article-title":"Platelet-derived growth factor (PDGF) signalling in cancer: rapidly emerging signalling landscape","volume":"33","author":"AA Farooqi","year":"2015","journal-title":"HHS Public Access"},{"issue":"4","key":"pcbi.1007672.ref068","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1371\/journal.pone.0153692","article-title":"The role of oxygen in avascular tumor growth","volume":"11","author":"DR Grimes","year":"2016","journal-title":"PLoS One"},{"issue":"8","key":"pcbi.1007672.ref069","doi-asserted-by":"crossref","first-page":"1567","DOI":"10.1158\/0008-5472.CAN-14-1428","article-title":"Impact of metabolic heterogeneity on tumor growth, invasion, and treatment outcomes","volume":"75","author":"M Robertson-Tessi","year":"2015","journal-title":"Cancer Res"},{"key":"pcbi.1007672.ref070","first-page":"1","article-title":"Intratumoral heterogeneity of endogenous tumor cell invasive behavior in human glioblastoma","author":"JJ Parker","year":"2018","journal-title":"Sci Rep"},{"issue":"8","key":"pcbi.1007672.ref071","doi-asserted-by":"crossref","first-page":"1624","DOI":"10.1200\/JCO.2003.05.063","article-title":"Cost of migration: Invasion of malignant gliomas and implications for treatment","volume":"21","author":"A Giese","year":"2003","journal-title":"J Clin Oncol"},{"issue":"6","key":"pcbi.1007672.ref072","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pcbi.1002556","article-title":"The impact of phenotypic switching on glioblastoma growth and invasion","volume":"8","author":"P Gerlee","year":"2012","journal-title":"PLoS Comput Biol"},{"issue":"7","key":"pcbi.1007672.ref073","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0020605","article-title":"Recruited cells can become transformed and overtake PDGF-induced murine gliomas in vivo during tumor progression","volume":"6","author":"EI Fomchenko","year":"2011","journal-title":"PLoS One"}],"updated-by":[{"DOI":"10.1371\/journal.pcbi.1007672","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2020,3,9]],"date-time":"2020-03-09T00:00:00Z","timestamp":1583712000000}}],"container-title":["PLOS Computational Biology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pcbi.1007672","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,3,9]],"date-time":"2020-03-09T13:43:18Z","timestamp":1583761398000},"score":1,"resource":{"primary":{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pcbi.1007672"}},"subtitle":[],"editor":[{"given":"Stacey","family":"Finley","sequence":"first","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2020,2,26]]},"references-count":73,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2020,2,26]]}},"URL":"https:\/\/doi.org\/10.1371\/journal.pcbi.1007672","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/650150","asserted-by":"object"}]},"ISSN":["1553-7358"],"issn-type":[{"value":"1553-7358","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,2,26]]}}}