ReviewBioengineering & translational medicine2026
Microfluidic approaches for liquid biopsy in glioblastoma: Insights into diagnostic and follow-up strategies.
Review in Bioengineering & translational medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Glioblastoma (GBM) is a highly malignant brain tumor with a poor survival prognosis of 12-15 months despite current therapeutic strategies. Diagnosing GBM is challenging, often requiring invasive techniques such as tissue biopsy and imaging methods that can provide inconclusive results. In this regard, liquid biopsy represents a promising alternative, providing tumor-derived information from less invasive sources such as blood or cerebrospinal fluid. However, the typically low concentrations of these biomarkers pose challenges for traditional detection techniques, limiting their sensitivity and specificity. Recent advances in microfluidics offer a potential solution by enhancing the isolation and detection of tumor-derived cells and molecules, thus improving their detectability. This review discusses the latest progress in microfluidic-based liquid biopsy systems for glioblastoma, laying the basis for future diagnostic practices that are less invasive and more accurate. As these technologies evolve, they hold the potential to transform GBM diagnosis and monitoring, ultimately improving patient outcomes.
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Registered trials
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