A patient-designed tissue-engineered model of the infiltrative glioblastoma microenvironment

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作者
R. C. Cornelison
J. X. Yuan
K. M. Tate
A. Petrosky
G. F. Beeghly
M. Bloomfield
S. C. Schwager
A. L. Berr
C. A. Stine
D. Cimini
F. F. Bafakih
J. W. Mandell
B. W. Purow
B. J. Horton
J. M. Munson
机构
[1] University of Massachusetts Amherst,Department of Biomedical Engineering
[2] Virginia Tech,Department of Biomedical Engineering & Mechanics
[3] University of Virginia,Department of Biomedical Engineering
[4] Virginia Tech,Fralin Biomedical Research Institute
[5] Virginia Tech,Department of Biological Sciences and Fralin Life Sciences Institute
[6] University of Virginia School of Medicine,Department of Pathology
[7] University of Virginia,Department of Neurology
[8] University of Virginia,Department of Public Health Sciences
[9] University of Virginia,undefined
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摘要
Glioblastoma is an aggressive brain cancer characterized by diffuse infiltration. Infiltrated glioma cells persist in the brain post-resection where they interact with glial cells and experience interstitial fluid flow. We use patient-derived glioma stem cells and human glial cells (i.e., astrocytes and microglia) to create a four-component 3D model of this environment informed by resected patient tumors. We examine metrics for invasion, proliferation, and putative stemness in the context of glial cells, fluid forces, and chemotherapies. While the responses are heterogeneous across seven patient-derived lines, interstitial flow significantly increases glioma cell proliferation and stemness while glial cells affect invasion and stemness, potentially related to CCL2 expression and differential activation. In a screen of six drugs, we find in vitro expression of putative stemness marker CD71, but not viability at drug IC50, to predict murine xenograft survival. We posit this patient-informed, infiltrative tumor model as a novel advance toward precision medicine in glioblastoma treatment.
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