4.8 Article

Rapid 3D Bioprinting of Glioblastoma Model Mimicking Native Biophysical Heterogeneity

期刊

SMALL
卷 17, 期 15, 页码 -

出版社

WILEY-V C H VERLAG GMBH
DOI: 10.1002/smll.202006050

关键词

3D printing; angiogenesis; biophysical regulation; glioblastoma; stiffness

资金

  1. National Institutes of Health SIG grant [S10 OD026929]
  2. NINDS P30 grant [NS047101]
  3. National Institutes of Health [EB021857, CA253615, CA177322, DA039562, DA046171, NS118250]
  4. National Science Foundation [1937653]
  5. National Science Foundation Graduate Research Fellowship Program [DGE-1650112]
  6. Div Of Civil, Mechanical, & Manufact Inn
  7. Directorate For Engineering [1937653] Funding Source: National Science Foundation

向作者/读者索取更多资源

This study developed biomimetic tri-regional GBM models to study tumor cell behaviors and angiogenic potentials by mimicking tumor regions, acellular ECM regions, and an endothelial region with different stiffness levels.
Glioblastoma multiforme (GBM) is the most lethal primary brain tumor characterized by high cellular and molecular heterogeneity, hypervascularization, and innate drug resistance. Cellular components and extracellular matrix (ECM) are the two primary sources of heterogeneity in GBM. Here, biomimetic tri-regional GBM models with tumor regions, acellular ECM regions, and an endothelial region with regional stiffnesses patterned corresponding to the GBM stroma, pathological or normal brain parenchyma, and brain capillaries, are developed. Patient-derived GBM cells, human endothelial cells, and hyaluronic acid derivatives are used to generate a species-matched and biochemically relevant microenvironment. This in vitro study demonstrates that biophysical cues are involved in various tumor cell behaviors and angiogenic potentials and promote different molecular subtypes of GBM. The stiff models are enriched in the mesenchymal subtype, exhibit diffuse invasion of tumor cells, and induce protruding angiogenesis and higher drug resistance to temozolomide. Meanwhile, the soft models demonstrate enrichment in the classical subtype and support expansive cell growth. The three-dimensional bioprinting technology utilized in this study enables rapid, flexible, and reproducible patient-specific GBM modeling with biophysical heterogeneity that can be employed by future studies as a tunable system to interrogate GBM disease mechanisms and screen drug compounds.

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