Utility of cerebrospinal fluid liquid biopsy in distinguishing CNS lymphoma from cerebrospinal infectious/demyelinating diseases

Author:

Iriyama Chisako1,Murate Kenichiro2,Iba Sachiko1,Okamoto Akinao1,Goto Naoe1,Yamamoto Hideyuki1,Kato Toshiharu1,Mihara Keichiro3,Miyama Takahiko3,Hattori Keiko1,Kajiya Ryoko1,Okamoto Masataka14,Mizutani Yasuaki2,Yamada Seiji5,Tsukamoto Tetsuya5,Hirose Yuichi6,Mutoh Tatsuro1,Watanabe Hirohisa2,Tomita Akihiro1ORCID

Affiliation:

1. Department of Hematology Fujita Health University School of Medicine Toyoake Japan

2. Department of Neurology Fujita Health University School of Medicine Toyoake Japan

3. International Center for Cell and Gene Therapy Fujita Health University Toyoake Japan

4. Department of Hematology and Oncology Fujita Health University Okazaki Medical Center Okazaki Japan

5. Department of Pathology Fujita Health University School of Medicine Toyoake Japan

6. Department of Neurosurgery Fujita Health University School of Medicine Toyoake Japan

Abstract

AbstractBackgroundDistinguishing 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.MethodsIn 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.ResultsBlood 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 MYD88L265P and CD79Y196 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).ConclusionsThese 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.

Funder

Ministry of Education, Culture, Sports, Science and Technology

Publisher

Wiley

Subject

Cancer Research,Radiology, Nuclear Medicine and imaging,Oncology

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