Reliable detection of CNS lymphoma-derived circulating tumor DNA in cerebrospinal fluid using multi-biomarker NGS profiling: insights from a real-world study

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Authors

NAVRKALOVÁ Veronika MAREČKOVÁ Andrea HRICKO Samuel HRABČÁKOVÁ Viera RADOVÁ Lenka KUBEŠ Václav PORC Jakub Paweł REIGL Tomáš POSPÍŠILOVÁ Šárka KOTAŠKOVÁ Jana JANÍKOVÁ Andrea

Year of publication 2025
Type Article in Periodical
Magazine / Source BIOMARKER RESEARCH
MU Faculty or unit

Faculty of Medicine

Citation
web https://biomarkerres.biomedcentral.com/articles/10.1186/s40364-025-00777-z
Doi http://dx.doi.org/10.1186/s40364-025-00777-z
Keywords ctDNA detection; Liquid biopsy; Multi-target NGS; Clinical practice; CNS lymphomas
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Description Background Diagnosing primary or secondary CNS lymphoma (CNSL) is a clinical challenge due to the limitations of standard biopsy and imaging procedures despite established guidelines. Therefore, accurate biomarkers and analytical methods that are convenient for practical routine use are needed to diagnose and manage these aggressive lymphomas effectively. We evaluated the utility of minimally invasive circulating tumor DNA (ctDNA) detection in a prospective real-world scenario, moving this approach closer to clinical practice. Methods A total of 164 plasma, cerebrospinal fluid (CSF), and tumor samples from 56 CNSL patients were collected to analyze tumor DNA by the diagnostic next-generation sequencing (NGS) panel LYNX, enabling simultaneous analysis of gene variants, chromosomal aberrations, and antigen receptor rearrangements in targeted regions. Results The well-known genetic heterogeneity of CNSL was refined with integrative molecular data, showing the most frequent MYD88, PIM1, and KMT2D mutations and a broad spectrum of chromosomal aberrations, reflecting high genomic complexity. The multi-target approach achieved a substantially higher detection rate of CNS infiltration (90%) than tracking a single variant in gene MYD88 (46%). CSF clearly surpasses plasma if applying a routine (non-ultrasensitive) NGS approach and allows for more reliable evidence of CNS involvement than conventional flow cytometry (91% vs. 21%, p < 0.001). Parallel analysis of tumor DNA in both cell-free and cellular DNA from CSF makes the probability of primary or secondary CNS malignancy detection even higher. Conclusions Our prospective, tissue-agnostic approach highlights the feasibility of ctDNA sequencing by a commonplace and affordable method, offering higher sensitivity to detect CNS infiltration with lymphoma than standard cell-analyzing techniques. We accentuate the benefit of a multi-target NGS approach and adequate CSF sampling to obtain satisfactory diagnostic yield. Less invasive liquid biopsy testing by comprehensive NGS complements standard procedures in the diagnostics and management of CNSL patients, especially when encountering limitations.
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