ArticleBiomaterials science2020
Hyaluronic acid induces ROCK-dependent amoeboid migration in glioblastoma cells.
Article in Biomaterials science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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Who cites it
13 citing papers in PubMed, 22 citations in OpenAlex.
- The Duality of Collagens in Metastases of Solid Tumors.International journal of molecular sciences · 2025Review
- Microtubule-associated NAV3 regulates invasive phenotypes in glioblastoma cells.Brain pathology (Zurich, Switzerland) · 2025Article
- IDH1 R132H and TP53 R248Q Mutations Modulate Glioma Cell Migration and Adhesion on Different ECM Components.International journal of molecular sciences · 2024Article
- The prognostic effect of mechanical, ultrastructural, and ECM signatures in glioblastoma core and rim.APL bioengineering · 2024Article
- HAS2 facilitates glioma cell malignancy and suppresses ferroptosis in an FZD7-dependent manner.Cancer science · 2024Article
- Engineered In Vitro Tumor Model Recapitulates Molecular Signatures of Invasion in Glioblastoma.ACS materials Au · 2023Article
- Evaluating glioblastoma tumour sphere growth and migration in interaction with astrocytes using 3D collagen-hyaluronic acid hydrogels.Journal of materials chemistry. B · 2023Article
- An End-to-endProceedings. IEEE International Conference on Healthcare Informatics · 2023Article
- Development of a Synthetic, Injectable Hydrogel to Capture Residual Glioblastoma and Glioblastoma Stem-Like Cells with CXCL12-Mediated Chemotaxis.Advanced healthcare materials · 2023Article
- Glioblastoma Spheroid Invasion through Soft, Brain-Like Matrices Depends on Hyaluronic Acid-CD44 Interactions.Advanced healthcare materials · 2023Article
- Review
- The multifaceted mechanisms of malignant glioblastoma progression and clinical implications.Cancer metastasis reviews · 2022Review
- Tumor spheroids accelerate persistently invading cancer cells.Scientific reports · 2022Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
Glioblastoma (GBM) is the most aggressive and deadly adult brain tumor, primarily because of its high infiltrative capacity and development of resistance to therapy. Although GBM cells are typically believed to migrate via mesenchymal (e.g., fibroblast-like) migration modes, amoeboid (e.g., leucocyte-like) migration modes have been identified and may constitute a salvage pathway. However, the mesenchymal to amoeboid transition (MAT) process in GB is not well characterized, most likely because most culture models induce MAT via pharmacological or genetic inhibition conditions that are far from physiological. In this study, we examined the ability of hyaluronic acid (HA) content in three-dimensional collagen (Col) hydrogels to induce MAT in U87 GBM cells. HA and Col are naturally-occurring components of the brain extracellular matrix (ECM). In pure Col gels, U87 cells displayed primarily mesenchymal behaviors, including elongated cell morphology, clustered actin and integrin expression, and crawling migration behaviors. Whereas an increasing population of cells displaying amoeboid behaviors, including rounded morphology, cortical actin expression, low/no integrin expression, and squeezing or gliding motility, were observed with increasing HA content (0.1-0.2 wt% in Col). Consistent with amoeboid migration, these behaviors were abrogated by ROCK inhibition with the non-specific small molecule inhibitor Y27632. Toward identification of histological MAT classification criteria, we also examined the correlation between cell and nuclear aspect ratio (AR) in Col and Col-HA gels, finding that nuclear AR has a small variance and is not correlated to cell AR in HA-rich gels. These results suggest that HA may regulate GBM cell motility in a ROCK-dependent manner.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.