Literature DB >> 33502104

Rapid 3D Bioprinting of Glioblastoma Model Mimicking Native Biophysical Heterogeneity.

Min Tang1, Shashi Kant Tiwari2, Kriti Agrawal2, Matthew Tan2, Jason Dang2, Trevor Tam3, Jing Tian3, Xueyi Wan3, Jacob Schimelman1, Shangting You1, Qinghui Xia1, Tariq M Rana2, Shaochen Chen1,3.   

Abstract

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.
© 2021 Wiley-VCH GmbH.

Entities:  

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

Mesh:

Year:  2021        PMID: 33502104      PMCID: PMC8049977          DOI: 10.1002/smll.202006050

Source DB:  PubMed          Journal:  Small        ISSN: 1613-6810            Impact factor:   13.281


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