Agent-based computational modeling of glioblastoma predicts that stromal density is central to oncolytic virus efficacy.

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作者： Adrianne L,Jenner ^[1] ; Munisha,Smalley ^[2] ; David,Goldman ^[3] ; William F,Goins ^[4] ; Charles S,Cobbs ^[5] ; Ralph B,Puchalski ^[6] ; E Antonio,Chiocca ^[6] ; Sean,Lawler ^[7] ; Paul,Macklin ^[7] ; Aaron,Goldman ^[8] ; Morgan,Craig ^[3]

作者单位： Department of Mathematics and Statistics, Université de Montréal, Montréal, QC, Canada. ^[1] Sainte-Justine University Hospital Research Centre, Montréal, QC, Canada. ^[2] Division of Engineering in Medicine, Brigham and Women's Hospital, Boston, MA, USA. ^[3] 7730E BlackCrest Pl, Tucson, AZ, USA. ^[4] Department of Microbiology and Molecular Genetics, University of Pittsburgh, Pittsburgh, PA, USA. ^[5] Ben and Catherine Ivy Center for Advanced Brain Tumor Treatment, Swedish Neuroscience Institute, Seattle, WA, USA. ^[6] Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. ^[7] Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA. ^[8] Department of Medicine, Harvard Medical School, Boston, MA, USA. ^[9]

关键词 Cancer Computational bioinformatics Immunology

DOI 10.1016/j.isci.2022.104395

PMID 35637733

发布时间 2024-03-01

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Agent-based computational modeling of glioblastoma predicts that stromal density is central to oncolytic virus efficacy.

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Agent-based computational modeling of glioblastoma predicts that stromal density is central to oncolytic virus efficacy.

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