AI Article Synopsis

  • The study investigates how genetic mutations can help differentiate central nervous system lymphoma (CNSL) from CNS infections and demyelinating diseases using cell-free DNA from cerebrospinal fluid (CSF).
  • Researchers extracted and analyzed CSF from patients with CNSL, infectious, and demyelinating diseases and found distinct mutation patterns that could aid in diagnosis.
  • Results showed that MYD88 and CD79 mutations were common in CNSL, with high sensitivity and specificity, indicating that CSF mutation analysis could improve early detection and distinction from other CNS diseases.

Article Abstract

Background: Distinguishing between central nervous system lymphoma (CNSL) and CNS infectious and/or demyelinating diseases, although clinically important, is sometimes difficult even using imaging strategies and conventional cerebrospinal fluid (CSF) analyses. To determine whether detection of genetic mutations enables differentiation between these diseases and the early detection of CNSL, we performed mutational analysis using CSF liquid biopsy technique.

Methods: In this study, we extracted cell-free DNA from the CSF (CSF-cfDNA) of CNSL (N = 10), CNS infectious disease (N = 10), and demyelinating disease (N = 10) patients, and performed quantitative mutational analysis by droplet-digital PCR. Conventional analyses were also performed using peripheral blood and CSF to confirm the characteristics of each disease.

Results: Blood hemoglobin and albumin levels were significantly lower in CNSL than CNS infectious and demyelinating diseases, CSF cell counts were significantly higher in infectious diseases than CNSL and demyelinating diseases, and CSF-cfDNA concentrations were significantly higher in infectious diseases than CNSL and demyelinating diseases. Mutation analysis using CSF-cfDNA detected MYD88 and CD79 mutations in 60% of CNSLs each, with either mutation detected in 80% of cases. Mutual existence of both mutations was identified in 40% of cases. These mutations were not detected in either infectious or demyelinating diseases, and the sensitivity and specificity of detecting either MYD88/CD79B mutations in CNSL were 80% and 100%, respectively. In the four cases biopsied, the median time from collecting CSF with the detected mutations to definitive diagnosis by conventional methods was 22.5 days (range, 18-93 days).

Conclusions: These results suggest that mutation analysis using CSF-cfDNA might be useful for differentiating CNSL from CNS infectious/demyelinating diseases and for early detection of CNSL, even in cases where brain biopsy is difficult to perform.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10501233PMC
http://dx.doi.org/10.1002/cam4.6329DOI Listing

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