352-Multi-omic Landscape of Human Gliomas
This research presents a comprehensive spatial multi-omic atlas of human gliomas, mapping the complex landscape of these lethal brain tumors from initial diagnosis through recurrence. By integrating proteomic, transcriptomic, and glycomic data from 310 patients, the study identifies critical factors that contribute to the failure of current targeted therapies and immunotherapies. A major finding reveals that tumor antigen variability, such as inconsistent B7H3 and EGFR expression, prevents effective cancer cell targeting across diverse patient populations. Furthermore, the analysis…
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