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2. Targeted gene expression profiling predicts meningioma outcomes and radiotherapy responses

3. Immune landscape of oncohistone-mutant gliomas reveals diverse myeloid populations and tumor-promoting function

4. GABAergic neuronal lineage development determines clinically actionable targets in diffuse hemispheric glioma, H3G34-mutant

5. TULIPs decorate the three-dimensional genome of PFA ependymoma

7. Radiation-Induced Meningiomas

8. An ERK5-PFKFB3 axis regulates glycolysis and represents a therapeutic vulnerability in pediatric diffuse midline glioma

9. A neurodevelopmental epigenetic programme mediated by SMARCD3–DAB1–Reelin signalling is hijacked to promote medulloblastoma metastasis

10. The landscape of tumor cell states and spatial organization in H3-K27M mutant diffuse midline glioma across age and location

13. Loss of MAT2A compromises methionine metabolism and represents a vulnerability in H3K27M mutant glioma by modulating the epigenome

14. Integrative analysis of non-small cell lung cancer patient-derived xenografts identifies distinct proteotypes associated with patient outcomes

15. Peptide vaccine immunotherapy biomarkers and response patterns in pediatric gliomas

16. All-trans retinoic acid induces durable tumor immunity in IDH-mutant gliomas by rescuing transcriptional repression of the CRBP1-retinoic acid axis

18. Intertumoral Heterogeneity within Medulloblastoma Subgroups

19. Epigenomic, genomic, and transcriptomic landscape of schwannomatosis

20. Figure S1-S6, Table S1 from β2-Microglobulin Maintains Glioblastoma Stem Cells and Induces M2-like Polarization of Tumor-Associated Macrophages

21. Data from β2-Microglobulin Maintains Glioblastoma Stem Cells and Induces M2-like Polarization of Tumor-Associated Macrophages

22. Characterization of low‐grade epilepsy‐associated tumor from implanted stereoelectroencephalography electrodes

23. MODL-32. EGFRVIII OVEREXPRESSION AND LOSS OF MOUSE SPECIFIC CDKN2A IN GLIAL CELLS LEADS TO GLIOMAGENESIS IN A NOVEL MOUSE MODEL

24. TMIC-04. IMMUNE PROFILING OF PEDIATRIC ONCOHISTONE GLIOMAS REVEALS DIVERSE MYELOID POPULATIONS AND TUMOR-PROMOTING BEHAVIORS

27. Loss of function mutations in GEMIN5 cause a neurodevelopmental disorder

28. Spinal Myxopapillary Ependymomas Demonstrate a Warburg Phenotype

29. Author Correction: Loss of MAT2A compromises methionine metabolism and represents a vulnerability in H3K27M mutant glioma by modulating the epigenome

30. Impact of acute lymphoblastic leukemia induction therapy: findings from metabolomics on non-fasted plasma samples from a biorepository

31. Characterization of low‐grade epilepsy‐associated tumor from implanted stereoelectroencephalography electrodes.

32. Supplementary Data 1 from Dual Role of CXCL8 in Maintaining the Mesenchymal State of Glioblastoma Stem Cells and M2-Like Tumor-Associated Macrophages

33. Data from Dual Role of CXCL8 in Maintaining the Mesenchymal State of Glioblastoma Stem Cells and M2-Like Tumor-Associated Macrophages

34. TERT promoter mutations are highly recurrent in SHH subgroup medulloblastoma.

35. EXPERIMENTAL THERAPEUTICS AND PHARMACOLOGY

36. METABOLIC PATHWAYS

37. TGF‐β Activity Is Prognostic in Medulloblastoma

39. Supplementary Figure 9 from Immuno-PET Imaging of CD69 Visualizes T-Cell Activation and Predicts Survival Following Immunotherapy in Murine Glioblastoma

40. Supplementary Figure 8 from Immuno-PET Imaging of CD69 Visualizes T-Cell Activation and Predicts Survival Following Immunotherapy in Murine Glioblastoma

41. FIGURE 4 from Immuno-PET Imaging of CD69 Visualizes T-Cell Activation and Predicts Survival Following Immunotherapy in Murine Glioblastoma

42. Supplementary Figure 2 from Immuno-PET Imaging of CD69 Visualizes T-Cell Activation and Predicts Survival Following Immunotherapy in Murine Glioblastoma

43. Supplementary Figure 3 from Immuno-PET Imaging of CD69 Visualizes T-Cell Activation and Predicts Survival Following Immunotherapy in Murine Glioblastoma

44. FIGURE 2 from Immuno-PET Imaging of CD69 Visualizes T-Cell Activation and Predicts Survival Following Immunotherapy in Murine Glioblastoma

45. FIGURE 3 from Immuno-PET Imaging of CD69 Visualizes T-Cell Activation and Predicts Survival Following Immunotherapy in Murine Glioblastoma

46. Supplementary Figure 4 from Immuno-PET Imaging of CD69 Visualizes T-Cell Activation and Predicts Survival Following Immunotherapy in Murine Glioblastoma

47. Data from Immuno-PET Imaging of CD69 Visualizes T-Cell Activation and Predicts Survival Following Immunotherapy in Murine Glioblastoma

48. FIGURE 5 from Immuno-PET Imaging of CD69 Visualizes T-Cell Activation and Predicts Survival Following Immunotherapy in Murine Glioblastoma

49. Supplementary Figure 7 from Immuno-PET Imaging of CD69 Visualizes T-Cell Activation and Predicts Survival Following Immunotherapy in Murine Glioblastoma

50. Supplementary Figure 1 from Immuno-PET Imaging of CD69 Visualizes T-Cell Activation and Predicts Survival Following Immunotherapy in Murine Glioblastoma

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