4.6 Article

Molecular tumor analysis and liquid biopsy: a feasibility investigation analyzing circulating tumor DNA in patients with central nervous system lymphomas

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BMC CANCER
卷 19, 期 -, 页码 -

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BMC
DOI: 10.1186/s12885-019-5394-x

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Cerebrospinal fluid; Circulating DNA; CNS-lymphoma; Liquid biopsy; Personalized medicine; Targeted therapies

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  1. Sabine-Dorges-Stiftung (Moglingen, Germany)

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BackgroundCentral nervous system lymphomas (CNSL) is a devastating disease. Currently, a confirmatory biopsy is required prior to treatment.ObjectiveOur investigation aims to prove the feasibility of a minimally-invasive diagnostic approach for the molecular characterization of CNSL.MethodsTissue biopsies from 6 patients with suspected CNSL were analyzed using a 649gene next-generation sequencing (NGS) tumor panel (tumor vs. reference tissue (EDTA-blood)). The individual somatic mutation pattern was used as a basis for the digital PCR analyzing circulating tumor DNA (ctDNA) from plasma and cerebrospinal fluid (CSF) samples, identifying one selected tumor mutation during this first step of the feasibility investigation.ResultsNGS-analysis of biopsy tissue revealed a specific somatic mutation pattern in all confirmed lymphoma samples (n=5, NGS-sensitivity 100%) and none in the sample identified as normal brain tissue (NGS-specificity 100%). cfDNA-extraction was dependent on the extraction-kit used and feasible in 3 samples, in all of which somatic mutations were detectable (100%). Analysis of CSF-derived cfDNA was superior to plasma-derived cfDNA and routine microscopic analysis (lymphoma cells: n=2, 40%). One patient showed a divergent molecular pattern, typical of Burkitt-Lymphoma (HIV+, serologic evidence of EBV-infection). Lumbar puncture was tolerated without complications, whereas biopsy caused 3 hemorrhages.ConclusionsOur investigation provides evidence that analysis of cfDNA in central nervous system tumors is feasible using the described protocol. Molecular characterization of CNSL could be achieved by analysis of CSF-derived cfDNA. Knowledge of a tumor's specific mutation pattern may allow initiation of targeted therapies, treatment surveillance and could lead to minimally-invasive diagnostics in the future.

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