Abstract

OBJECTIVE

We describe a clinical liquid biopsy platform for disease detection and surveillance in pediatric patients with primary central nervous system (CNS) tumors using low-pass whole genome sequencing (LP-WGS) on cell-free DNA (cfDNA) isolated from cerebrospinal fluid (CSF).

METHODS

CSF samples were collected during routine clinical procedures. cfDNA was extracted and LP-WGS performed using a validated Illumina NextSeq sequencing with a 37 bp paired-end read configuration. Sequencing results were compared to tumor molecular profiling performed by UW-Oncoplex™, a targeted DNA-based next-generation sequencing panel.

RESULTS

Sixty-one CSF specimens were collected from 29 individual patients with primary brain tumors across 7 institutions, with samples obtained at initial diagnosis or staging (n=17), during treatment (n=29), at therapy completion (n=4), or at disease recurrence (n=11). Patients with medulloblastoma (n=13), ATRT (n=3), high-grade glioma (n=3), low-grade glioma (n=6), ependymoma (n=1), and high-grade neuroepithelial tumor/ embryonal tumors (n=3) were included. Copy number variants consistent with tumor were detected in 24 samples from a median CSF volume of 2.5 mL (range: 1-8 mL) and 54.6 pg/ul of cfDNA (median, range: 1.3-5,220). 31/61 samples yielded enough DNA for LP-WGS while 30 were insufficient due to absence of tumor DNA (true negatives) or low DNA quantity (technical insufficiency). Among the 10 diagnostic samples collected from patients with MRI evidence of disease at initial staging, LP-WGS was positive in 8/10 (80%), compared to 2/10 (20%) positive by cytologic analysis for malignant cells. All 4 staging samples from patients with leptomeningeal metastasis were positive by LP-WGS. At recurrence, LP-WGS was positive for tumor in 6/8 (75%) of MRI-positive patients.

CONCLUSIONS

LP-WGS of CSF-derived cfDNA can identify clinically relevant somatic copy number variants, offering a minimally invasive liquid biopsy option for ongoing surveillance in pediatric CNS tumors. Further prospective analysis is needed to mitigate interpretation error and refine clinical applications.

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