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Together, these findings identify a high-risk biological subset of PCNSL patients and provide a hypothesis-generating framework for future biomarker-driven risk stratification and therapeutic discovery in PCNSL.
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ABSTRACT Current prognostic models fail to capture the biological complexity of primary central nervous system lymphoma (PCNSL). We integrated whole‐genome sequencing and multiplex immunofluorescence in 68 treatment‐naïve patients to define four genomic subtypes (C1, C2, C3, and C4) with divergent survival (C4 worst: median overall survival [OS], 26 months). In parallel, a novel tumor microenvironment (TME) classification based on CD8 + T/M2 macrophage ratio stratified patients into High (> 1.5), Intermediate (0.8–1.5), and Low ( 0.78), but external validation is needed. Together, these findings identify a high‐risk biological subset and provide a hypothesis‐generating framework for future biomarker‐driven risk stratification and therapeutic discovery in PCNSL.
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@article{Yuan2026Integrated,
title = {Integrated Genomic and Tumor Microenvironment Subtyping Improved Risk Stratification in Primary Central Nervous System Lymphoma},
author = {Xianggui Yuan and Qian Luo and Yurong Huang and Chaoyi Li and Teng Yu and Shanshan Guo and Qunyi Guo and Xueli Jin and Jiefeng Tong and Aiqi Zhao and Wen Lei and Li X and 李百周 and Shumei Wei and Wenbin Qian and Yun Liang},
journal = {American Journal of Hematology},
year = {2026},
doi = {10.1002/ajh.70396},
url = {https://doi.org/10.1002/ajh.70396}
}
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