ArticleNeuro-oncology advances
MR elastography identifies regions of extracellular matrix reorganization associated with shorter survival in glioblastoma patients.
Article in Neuro-oncology advances. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Reply to the Letter to the Editor: Peripheral MRE fluidity in pancreatic cancer: considerations on regional sampling and biological interpretation.European radiology · 2026Article
- Tumor microenvironment-specific nanomedicine: from biology-driven to multi-omics-guided precision engineering.Journal of hematology & oncology · 2026Review
- Elasticity-guided tumor resection: applying biomechanical information to neurosurgical practice.Acta neurochirurgica · 2026Review
- Review
- Stiffness and Tissue Viscosity in a Cerebral Neoplasm Measured by Preoperative Multifrequency Magnetic Resonance Elastography (MRE) Guide the Differential Diagnosis of Brain Tumors by Ruling Out Glioma.Case reports in medicine · 2026Article
- Extracellular matrix stiffness conditions glioblastoma cells for long-term migration: Mechanical memory as a driver of invasion and recurrence in glioblastoma.Neuro-oncology · 2026Review
- Drug resistant glioblastoma stem cells exhibit enriched stemness signatures and share extracellular matrix overexpression.BMC cancer · 2025Article
- Race and "omic" data in glioma: A systematic review of contemporary research to explore the digital divide.Neuro-oncology practice · 2025Article
- The mechanopathology of the tumor microenvironment: detection techniques, molecular mechanisms and therapeutic opportunities.Frontiers in cell and developmental biology · 2025Review
- MR Elastography Using the Gravitational Transducer.Sensors (Basel, Switzerland) · 2024Review
- Mechanical properties of pediatric low-grade gliomas in children with and without neurofibromatosis type 1.Neuroradiology · 2024Article
- Simulating the impact of tumor mechanical forces on glymphatic networks in the brain parenchyma.Biomechanics and modeling in mechanobiology · 2024Article
- Making sense of scattering: Seeing microstructure through shear waves.Science advances · 2024Article
- Tumor biomechanics as a novel imaging biomarker to assess response to immunotherapy in a murine glioma model.Scientific reports · 2024Article
- Single-cell mechanical assay unveils viscoelastic similarities in normal and neoplastic brain cells.Biophysical journal · 2024Article
- The contributions of relative brain viscosity to brain function and health.Brain communications · 2024Review
- Clinical application of magnetic resonance elastography in pediatric neurological disorders.Pediatric radiology · 2023Review
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Biomechanical tissue properties of glioblastoma tumors are heterogeneous, but the molecular mechanisms involved and the biological implications are poorly understood. Here, we combine magnetic resonance elastography (MRE) measurement of tissue stiffness with RNA sequencing of tissue biopsies to explore the molecular characteristics of the stiffness signal. Methods: MRE was performed preoperatively in 13 patients with glioblastoma. Navigated biopsies were harvested during surgery and classified as "stiff" or "soft" according to MRE stiffness measurements (|G*| Results: The mean whole-tumor stiffness was lower than normal-appearing white matter. The surgeon's stiffness evaluation did not correlate with the MRE measurements, which suggests that these measures assess different physiological properties. Pathway analysis of the differentially expressed genes between "stiff" and "soft" biopsies showed that genes involved in extracellular matrix reorganization and cellular adhesion were overexpressed in "stiff" biopsies. Supervised dimensionality reduction identified a gene expression signal separating "stiff" and "soft" biopsies. Using the NIH Genomic Data Portal, 265 glioblastoma patients were divided into those with ( Conclusion: MRE imaging of glioblastoma can provide noninvasive information on intratumoral heterogeneity. Regions of increased stiffness were associated with extracellular matrix reorganization. An expression signal associated with "stiff" biopsies correlated with shorter survival of glioblastoma patients.
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