ArticleNeuro-oncology advances
Integrated detection of cerebrospinal fluid cfDNA/cfRNA and molecular concordance with glioma characteristics.
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 2 papers.
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Who cites it
2 citing papers in PubMed.
- Integrating Radiogenomics and CSF-Based Liquid Biopsy Sequencing for Precision Neuro-Oncology.International journal of molecular sciences · 2026Review
- Cerebrospinal Fluid in Pediatric Neuro-Oncology: Molecular Diagnosis, Disease Monitoring, and Clinical Translation.International journal of molecular sciences · 2026Review
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Authors and funding
21 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Accurate glioma diagnosis relies on tissue biopsy, which is often challenging. Liquid biopsy offers an alternative, but single-component circulating free DNA (cfDNA) or circulating free RNA (cfRNA) approaches have limited comprehensiveness. We developed and validated GlioKit, a platform for simultaneous cfDNA and cfRNA extraction from cerebrospinal fluid (CSF) to enhance diagnostic coverage, and evaluated its accuracy by correlating CSF-derived molecular profiles with tumor characteristics. Methods: We retrospectively analyzed 71 patients from the China Glioma Liquid Biopsy MultiOmics Atlas (C-Glioma) database, including 31 GBM, 36 IDH-mutant gliomas, and 4 diffuse midline gliomas (DMGs). Using GlioKit, we simultaneously extracted and analyzed CSF cfDNA and cfRNA, targeting 6 mutations ( Results: Among 71 glioma CSF samples, cfDNA mutations were detected in 55 (77%), cfRNA in 15 of 44 (34%). Overall, cfDNA-tumor concordance was 89%, and cfRNA was 73%. Subgroup analysis revealed cfDNA detection rates of 33/41 (surgery), 11/15 (Ommaya), and 11/15 (lumbar puncture); cfRNA detection rates were 5/25, 6/11, and 4/8, respectively. Corresponding concordance rates were cfDNA-30/33 (surgery), 10/11 (Ommaya), and 9/11 (lumbar puncture); cfRNA-4/5, 5/6, and 2/4. Conclusions: Cerebrospinal fluid-derived cfDNA and cfRNA variations closely align with tumor genomic alterations, validating CSF as a minimally invasive source for glioma molecular subtyping. GlioKit has potential for glioma diagnosis and therapy planning.
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