Articlenpj biomedical innovations2025
Interstitial fluid transport dynamics predict glioblastoma invasion and progression.
Article in npj biomedical innovations, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Mechanisms of Therapeutic Resistance and Recent Advances in Glioblastoma Treatment.Immunology and cell biology · 2026Review
- Spatiotemporal cancer controlNanomedicine (London, England) · 2026Review
- Imperatorin: A Furanocoumarin with Potential in Combating Cancer Development and Progression-A Comprehensive Review.Pharmaceuticals (Basel, Switzerland) · 2026Review
- The Glymphatic-Immune Axis in Glioblastoma: Mechanistic Insights and Translational Opportunities.International journal of molecular sciences · 2026Review
- Marginal diffusion slope as a prognostic imaging biomarker of infiltrating phenotype in glioblastoma; A cancer imaging biomarker roadmap study.Neuro-oncology advancesArticle
Corrections and comments
- Update of
Authors and funding
9 authors.
Funding
Abstract
Glioblastoma is characterized by aggressive infiltration into surrounding brain tissue, hindering complete surgical resection and contributing to poor patient outcomes. Identifying tumor-specific invasion patterns is essential for advancing our understanding of glioblastoma progression and improving surgical and radiotherapeutic strategies. Here, we leverage in vivo dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) to noninvasively quantify interstitial fluid velocity, direction, and diffusion within and around glioblastomas. We introduce a novel vector-based pathline analysis to trace downstream accumulation of fluid flow originating from the tumor core, providing a spatially explicit perspective on local flow patterns. We find that localized fluid transport metrics predict glioblastoma invasion and progression, offering a new framework to non-invasively identify high-risk regions and guide targeted treatment approaches.
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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.