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However, the biopsy procedure carries the risk of complications such as bleeding, convulsions, and infection. Cerebrospinal fluid (CSF) \u03b22\u2010microglobulin (\u03b22\u2010MG), soluble IL\u20102 receptor (sIL\u20102R), and interleukin\u201010 (IL\u201010) are known to be useful diagnostic biomarkers for CNS lymphoma. The C\u2010X\u2010C motif chemokine ligand 13 (CXCL13) was recently reported to be another useful biomarker for CNS lymphoma. The purpose of this study is to establish a diagnostic algorithm that can avoid biopsy by combining these diagnostic biomarkers. In the first, we conducted a case\u2010control study (n\u00a0=\u00a0248) demonstrating that the CSF CXCL13 concentration was significantly increased in CNS lymphoma patients compared with various other brain diseases (AUC\u00a0=\u00a00.981). We established a multi\u2010marker diagnostic model using CSF CXCL13, IL\u201010, \u03b22\u2010MG, and sIL\u20102R from the results of the case\u2010control study and then applied the model to a prospective study (n\u00a0=\u00a0104) to evaluate its utility. The multi\u2010marker diagnostic algorithms had excellent diagnostic performance: the sensitivity, specificity, positive predictive value, and negative predictive value were 97%, 97%, 94%, and 99%, respectively. In addition, CSF CXCL13 was a prognostic biomarker for CNS lymphoma patients. Our study suggests that multi\u2010marker algorithms are important diagnostic tools for patients with CNS lymphoma.<\/jats:p>","DOI":"10.1002\/cam4.3048","type":"journal-article","created":{"date-parts":[[2020,4,21]],"date-time":"2020-04-21T00:20:06Z","timestamp":1587428406000},"page":"4114-4125","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":34,"title":["Multi\u2010marker algorithms based on CXCL13, IL\u201010, sIL\u20102 receptor, and \u03b22\u2010microglobulin in cerebrospinal fluid to diagnose CNS lymphoma"],"prefix":"10.1002","volume":"9","author":[{"given":"Masahiro","family":"Maeyama","sequence":"first","affiliation":[{"name":"Department of Neurosurgery Kobe University Graduate School of Medicine Kobe 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