Reconstructing the single-cell spatiotemporal dynamics of glioblastoma invasion.

GlioTrace reconstructs patient-specific, spatially organized glioblastoma invasion dynamics in six patient-derived xenograft brain slices, including therapy-linked shifts in invasion phenotypes and transitions.

• Why it matters: Glioblastoma invasion into healthy brain tissue is hard to measure dynamically across patient models, limiting how well therapies can be compared in living tissue.
• What they did: The ex vivo framework combines whole-specimen confocal microscopy with machine-learning morphology classification and probabilistic modeling of state transitions to track tumor-cell invasion phenotypes in real time.
• The result: Across six patient-derived models, invasion plasticity varies by patient and is shaped by vascular proximity and microglial interaction; targeted therapies change phenotype composition, while standard-of-care enriches a motile, transition-connected branching state linked to treatment tolerance.

AI summary of the abstract · may contain errors · not medical advice · read the paper.