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February 9, 2026Cells5 citationsOpen Access

Decoding Glioblastoma Through Liquid Biopsy: Molecular Insights and Clinical Prospects

TWTomasz WasiakMJMaria JaskólskaKFKamil Filiks

Key Points

  • The aim is to evaluate how liquid biopsies can improve the understanding and management of glioblastoma.
  • Analyzed various circulating tumor-derived components like ctDNA, EVs, and CTCs.
  • Reviewed the sensitivity of CSF for tumor-specific alterations versus plasma monitoring.
  • Considered challenges such as analyte concentrations and cost in clinical application.
  • CSF demonstrates the highest sensitivity for detecting glioblastoma-specific changes.
  • Plasma allows for repeat monitoring of biomarkers despite lower abundance.
  • Extracellular vesicles significantly preserve critical genomic and protein information for treatment insights.

Abstract

Liquid biopsy (LB) offers a minimally invasive approach to characterizing and monitoring glioblastoma (GB), a tumor marked by extensive heterogeneity, limited surgical accessibility and rapid molecular evolution. By analyzing circulating tumor-derived components such as circulating tumor DNA (ctDNA), extracellular vesicles (EVs), circulating RNA species and circulating tumor cells (CTC), LB provides dynamic molecular information that cannot be captured by neuroimaging or single-site tissue sampling. Cerebrospinal fluid (CSF) currently yields the highest sensitivity for detecting tumor-specific alterations, while plasma enables repeat monitoring despite lower biomarker abundance. EVs have gained particular prominence due to their ability to preserve DNA, RNA, and protein cargo that reflects key genomic changes, treatment resistance mechanisms, and immune evasion. Although advances are substantial, clinical implementation remains constrained by low analyte concentrations, methodological variability, limited standardization and the high cost of testing, which is rarely reimbursed by insurers. This review summarizes current evidence on circulating biomarkers in GB and highlights research priorities essential for integrating LB into future diagnostic and therapeutic workflows.

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Cite This Study

Wasiak et al. (2026) studied this question.

synapsesocial.com/papers/698979b9f0ec2af6756e78cbhttps://doi.org/10.3390/cells15030309
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