{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T04:13:43Z","timestamp":1790741623295,"version":"4.1.0"},"reference-count":46,"publisher":"Wiley","issue":"S3","license":[{"start":{"date-parts":[[2026,6,7]],"date-time":"2026-06-07T00:00:00Z","timestamp":1780790400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,6,7]],"date-time":"2026-06-07T00:00:00Z","timestamp":1780790400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82350104"],"award-info":[{"award-number":["82350104"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82400217"],"award-info":[{"award-number":["82400217"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["American J Hematol"],"published-print":{"date-parts":[[2026,9]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    Current prognostic models fail to capture the biological complexity of primary central nervous system lymphoma (PCNSL). We integrated whole\u2010genome sequencing and multiplex immunofluorescence in 68 treatment\u2010na\u00efve patients to define four genomic subtypes (C1, C2, C3, and C4) with divergent survival (C4 worst: median overall survival [OS], 26\u2009months). In parallel, a novel tumor microenvironment (TME) classification based on CD8\n                    <jats:sup>+<\/jats:sup>\n                    T\/M2 macrophage ratio stratified patients into High (&gt;\u20091.5), Intermediate (0.8\u20131.5), and Low (&lt;\u20090.8) groups. Unexpectedly, the Intermediate TME group showed the poorest outcomes (5\u2010year OS: 10%). Integration revealed a lethal subgroup (C4\u2009+\u2009Intermediate TME; 9.8% of cohort) with a median OS of 3.0\u2009months (hazard ratio\u2009=\u20097.24,\n                    <jats:italic>p<\/jats:italic>\n                    \u2009=\u20090.006). Prognostic nomograms incorporating these subtypes showed promising discriminative performance in internal validation (C\u2010index &gt;\u20090.78), but external validation is needed. Together, these findings identify a high\u2010risk biological subset and provide a hypothesis\u2010generating framework for future biomarker\u2010driven risk stratification and therapeutic discovery in PCNSL.\n                  <\/jats:p>","DOI":"10.1002\/ajh.70396","type":"journal-article","created":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T05:01:46Z","timestamp":1780894906000},"page":"27-41","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Integrated Genomic and Tumor Microenvironment Subtyping Improved Risk Stratification in Primary Central Nervous System Lymphoma"],"prefix":"10.1002","volume":"101","author":[{"given":"Xianggui","family":"Yuan","sequence":"first","affiliation":[{"name":"Department of Hematology The Second Affiliated Hospital, Zhejiang University School of Medicine  Hangzhou 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