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1. Meningioma transcriptomic landscape demonstrates novel subtypes with regional associated biology and patient outcome.

2. A deep-learning framework to predict cancer treatment response from histopathology images through imputed transcriptomics

3. Virtual multi-institutional tumor board: a strategy for personalized diagnoses and management of rare CNS tumors.

4. Molecular and clinicopathologic characteristics of CNS embryonal tumors with BRD4::LEUTX fusion.

5. PERCEPTION predicts patient response and resistance to treatment using single-cell transcriptomics of their tumors

9. Utility of Immunohistochemistry With Antibodies to SS18-SSX Chimeric Proteins and C-Terminus of SSX Protein for Synovial Sarcoma Differential Diagnosis

11. Transcriptome-based response predictor to identify potential responders among patients with negative standard markers for response to immune checkpoint blockers.

12. Radiotherapy Plan Quality Assurance in NRG Oncology Trials for Brain and Head/Neck Cancers: An AI-Enhanced Knowledge-Based Approach

13. Supplementary Table S3 from Response Rate and Molecular Correlates to Encorafenib and Binimetinib in BRAF-V600E Mutant High-Grade Glioma

14. Supplementary Figure S3 from Response Rate and Molecular Correlates to Encorafenib and Binimetinib in BRAF-V600E Mutant High-Grade Glioma

15. Supplementary Material 1 from Response Rate and Molecular Correlates to Encorafenib and Binimetinib in BRAF-V600E Mutant High-Grade Glioma

16. Data from Response Rate and Molecular Correlates to Encorafenib and Binimetinib in BRAF-V600E Mutant High-Grade Glioma

17. The biological significance of tumor grade, age, enhancement, and extent of resection in IDH-mutant gliomas: How should they inform treatment decisions in the era of IDH inhibitors?

18. HOXD12 defines an age-related aggressive subtype of oligodendroglioma.

20. Response Rate and Molecular Correlates to Encorafenib and Binimetinib in BRAF-V600E Mutant High-Grade Glioma

21. 379 Meningioma Molecular Groups Predict Response to Adjuvant Radiotherapy Following Surgery

22. Table S1 from The Epigenetic Evolution of Glioma Is Determined by the IDH1 Mutation Status and Treatment Regimen

23. Supp Figures from The Epigenetic Evolution of Glioma Is Determined by the IDH1 Mutation Status and Treatment Regimen

24. Supplemental Figures Legends from The Epigenetic Evolution of Glioma Is Determined by the IDH1 Mutation Status and Treatment Regimen

25. Data from The Epigenetic Evolution of Glioma Is Determined by the IDH1 Mutation Status and Treatment Regimen

26. Supplementary Appendix from The Epigenetic Evolution of Glioma Is Determined by the IDH1 Mutation Status and Treatment Regimen

27. Meningioma transcriptomic landscape demonstrates novel subtypes with regional associated biology and patient outcome.

28. The outcomes measured and reported in intracranial meningioma clinical trials: A systematic review

29. The outcomes measured and reported in observational studies of incidental and untreated intracranial meningioma: A systematic review

30. The epigenetic evolution of glioma is determined by the IDH1 mutation status and treatment regimen

31. The Epigenetic Evolution of Glioma Is Determined by the IDH1 Mutation Status and Treatment Regimen

33. Diffuse hemispheric glioma with H3 p.K28M (K27M) mutation: Unusual non-midline presentation of diffuse midline glioma, H3 K27M-altered?

34. Potential prognostic determinants for FET::CREB fusion-positive intracranial mesenchymal tumor

35. Chromosome 7 to the rescue: overcoming chromosome 10 loss in gliomas

36. Data from Impact of Rare and Multiple Concurrent Gene Fusions on Diagnostic DNA Methylation Classifier in Brain Tumors

37. Supplementary Table 2 from Impact of Rare and Multiple Concurrent Gene Fusions on Diagnostic DNA Methylation Classifier in Brain Tumors

39. Supplementary Table 1 from Impact of Rare and Multiple Concurrent Gene Fusions on Diagnostic DNA Methylation Classifier in Brain Tumors

40. Long-term survivors of glioblastoma: Tumor molecular, clinical, and imaging findings

43. Prediction of DNA methylation-based tumor types from histopathology in central nervous system tumors with deep learning

44. Haploinsufficiency of phosphodiesterase 10A activates PI3K/AKT signaling independent of PTEN to induce an aggressive glioma phenotype

45. Molecular classification to refine surgical and radiotherapeutic decision-making in meningioma

48. A case of myxopapillary ependymoma with predominant giant cell morphology: A rare entity with comprehensive genomic profiling and review of literature.

49. Prediction of brain metastasis development with DNA methylation signatures.

50. Meningioma: International Consortium on Meningiomas consensus review on scientific advances and treatment paradigms for clinicians, researchers, and patients.

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