Viscoelastic High‐Molecular‐Weight Hyaluronic Acid Hydrogels Support Rapid Glioblastoma Cell Invasion with Leader–Follower Dynamics

Hyaluronic acid (HA), the primary component of brain extracellular matrix, is increasingly used to model neuropathological processes, including glioblastoma (GBM) tumor invasion. While elastic hydrogels based on crosslinked low-molecular-weight (LMW) HA are widely exploited for this purpose and have proven valuable for discovery and screening, brain tissue is both viscoelastic and rich in high-MW (HMW) HA, and it remains unclear how these differences influence invasion. To address this question, hydrogels comprised of either HMW (1.5 MDa) or LMW (60 kDa) HA are introduced, characterized, and applied in GBM invasion studies. Unlike LMW HA hydrogels, HMW HA hydrogels relax stresses quickly, to a similar extent as brain tissue, and to a greater extent than many conventional HA-based scaffolds. GBM cells implanted within HMW HA hydrogels invade much more rapidly than in their LMW HA counterparts and exhibit distinct leader-follower dynamics. Leader cells adopt dendritic morphologies similar to invasive GBM cells observed in vivo. Transcriptomic, pharmacologic, and imaging studies suggest that leader cells exploit hyaluronidase, an enzyme strongly enriched in human GBMs, to prime a path for followers. This study offers new insight into how HA viscoelastic properties drive invasion and argues for the use of highly stress-relaxing materials to model GBM.

Authors

Institutions

Publication Details

Journal
Advanced Materials
Published
2024-11-07
DOI
https://doi.org/10.1002/adma.202404885
Citations
16
Primary Topic
Cellular Mechanics and Interactions
Type
article
Field-Weighted Citation Impact
5.22

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Viscoelastic High‐Molecular‐Weight Hyaluronic Acid Hydrogels Support Rapid Glioblastoma Cell Invasion with Leader–Follower Dynamics

Erika A. Ding, Sanjay Kumar, Manish K. Aghi, Peter‐James H. Zushin et al.
16 citations
Advanced Materials
Cellular Mechanics and Interactions
5.22
article

Viscoelastic High‐Molecular‐Weight Hyaluronic Acid Hydrogels Support Rapid Glioblastoma Cell Invasion with Leader–Follower Dynamics

Erika A. Ding, Sanjay Kumar, Manish K. Aghi, Peter‐James H. Zushin, Emily M. Carvalho, Anna Weldy, Daniel J. Garcia, Andreas Stahl, Atul Saha
article en
16 citations

Abstract

Hyaluronic acid (HA), the primary component of brain extracellular matrix, is increasingly used to model neuropathological processes, including glioblastoma (GBM) tumor invasion. While elastic hydrogels based on crosslinked low-molecular-weight (LMW) HA are widely exploited for this purpose and have proven valuable for discovery and screening, brain tissue is both viscoelastic and rich in high-MW (HMW) HA, and it remains unclear how these differences influence invasion. To address this question, hydrogels comprised of either HMW (1.5 MDa) or LMW (60 kDa) HA are introduced, characterized, and applied in GBM invasion studies. Unlike LMW HA hydrogels, HMW HA hydrogels relax stresses quickly, to a similar extent as brain tissue, and to a greater extent than many conventional HA-based scaffolds. GBM cells implanted within HMW HA hydrogels invade much more rapidly than in their LMW HA counterparts and exhibit distinct leader-follower dynamics. Leader cells adopt dendritic morphologies similar to invasive GBM cells observed in vivo. Transcriptomic, pharmacologic, and imaging studies suggest that leader cells exploit hyaluronidase, an enzyme strongly enriched in human GBMs, to prime a path for followers. This study offers new insight into how HA viscoelastic properties drive invasion and argues for the use of highly stress-relaxing materials to model GBM.

Advanced MaterialsVol. 36(50)
University of California, San Francisco (US), University of California, Berkeley (US)
National Science Foundation, National Institutes of Health, University of California, San Francisco, National Cancer Institute
Openalex Percentile: Top 4%
Cellular Mechanics and Interactions
5.22
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.