Glioblastoma Spheroid Invasion through Soft, Brain-Like Matrices Depends on Hyaluronic Acid-CD44 Interactions.
Safarians GevickAlireza SohrabiItay SolomonWeikun XiaoSoniya BastolaBushra W RajputMary EppersonIsabella RosenzweigKelly TamuraBreahna SingerJoyce HuangMollie J HarrisonTalia SanazzaroMichael C CondroHarley I KornblumStephanie K SeidlitsPublished in: Advanced healthcare materials (2023)
Increased secretion of hyaluronic acid (HA), a glycosaminoglycan abundant in the brain extracellular matrix (ECM), correlates with worse clinical outcomes for glioblastoma (GBM) patients. GBM cells aggressively invade the brain parenchyma while encountering spatiotemporal changes in their local ECM, including HA concentration. To investigate how varying HA concentrations affect GBM invasion, patient-derived GBM cells are cultured within a soft, 3D matrix in which HA concentration is precisely varied and cell migration observed. Data demonstrate that HA concentration can determine the invasive activity of patient-derived GBM cells in a biphasic and highly sensitive manner, where the absolute concentration of HA at which cell migration peaked is specific to each patient-derived line. Furthermore, evidence that this response relies on phosphorylated ezrin, which interacts with the intracellular domain of HA-engaged CD44 to effectively link the actin cytoskeleton to the local ECM is provided. Overall, this study highlights CD44-HA binding as a major mediator of GBM cell migration that acts independently of integrins and focal adhesion complexes and suggests that targeting HA-CD44-ezrin interactions represents a promising therapeutic strategy to prevent tumor cell invasion in the brain.
Keyphrases
- cell migration
- hyaluronic acid
- extracellular matrix
- induced apoptosis
- cell cycle arrest
- resting state
- white matter
- end stage renal disease
- chronic kidney disease
- functional connectivity
- newly diagnosed
- cell death
- escherichia coli
- endoplasmic reticulum stress
- nk cells
- peritoneal dialysis
- binding protein
- staphylococcus aureus
- electronic health record
- cystic fibrosis
- cancer therapy
- single molecule
- deep learning
- subarachnoid hemorrhage
- high resolution