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238 results on '"Sill, Martin"'

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1. Multi-omic and single-cell profiling of chromothriptic medulloblastoma reveals genomic and transcriptomic consequences of genome instability

2. EpiDiP/NanoDiP: a versatile unsupervised machine learning edge computing platform for epigenomic tumour diagnostics

3. Clinical and molecular study of radiation-induced gliomas

4. Amplification of the PLAG-family genes—PLAGL1 and PLAGL2—is a key feature of the novel tumor type CNS embryonal tumor with PLAGL amplification

5. Genetical and epigenetical profiling identifies two subgroups of pineal parenchymal tumors of intermediate differentiation (PPTID) with distinct molecular, histological and clinical characteristics

6. Glioneuronal tumor with ATRX alteration, kinase fusion and anaplastic features (GTAKA): a molecularly distinct brain tumor type with recurrent NTRK gene fusions

7. Molecular characterisation defines clinically-actionable heterogeneity within Group 4 medulloblastoma and improves disease risk-stratification

8. Multiomic neuropathology improves diagnostic accuracy in pediatric neuro-oncology

9. Correction to: Amplification of the PLAG-family genes—PLAGL1 and PLAGL2—is a key feature of the novel tumor type CNS embryonal tumor with PLAGL amplification

10. Mouse models of pediatric high-grade gliomas with MYCN amplification reveal intratumoral heterogeneity and lineage signatures

11. Transcriptional immunogenomic analysis reveals distinct immunological clusters in paediatric nervous system tumours

12. Pediatric-type high-grade neuroepithelial tumors with CIC gene fusion share a common DNA methylation signature

13. Author Correction: Multiomic neuropathology improves diagnostic accuracy in pediatric neuro-oncology

14. Identification of low and very high-risk patients with non-WNT/non-SHH medulloblastoma by improved clinico-molecular stratification of the HIT2000 and I-HIT-MED cohorts

15. Epigenetic profiling reveals a subset of pediatric-type glioneuronal tumors characterized by oncogenic gene fusions involving several targetable kinases

16. Molecular diagnostics enables detection of actionable targets: the Pediatric Targeted Therapy 2.0 registry

17. Integrated genomic analysis reveals actionable targets in pediatric spinal cord low-grade gliomas

18. Rapid-CNS2: rapid comprehensive adaptive nanopore-sequencing of CNS tumors, a proof-of-concept study

19. Correction to: Integrated genomic analysis reveals actionable targets in pediatric spinal cord low-grade gliomas

20. DNA methylation-based classification of sinonasal tumors

21. Drug sensitivity profiling of 3D tumor tissue cultures in the pediatric precision oncology program INFORM

22. Pleomorphic xanthoastrocytoma is a heterogeneous entity with pTERT mutations prognosticating shorter survival

23. Versatile, accessible cross-platform molecular profiling of central nervous system tumors: web-based, prospective multi-center validation

24. GOPC:ROS1 and other ROS1 fusions represent a rare but recurrent drug target in a variety of glioma types

25. Treatment response as surrogate to predict risk for disease progression in pediatric medulloblastoma with persistent magnetic resonance imaging lesions after first-line treatment.

26. Somatic gene delivery for flexible in vivo modeling of high-risk sarcoma

28. Sarcoma classification by DNA methylation profiling

29. Radiation-induced gliomas represent H3-/IDH-wild type pediatric gliomas with recurrent PDGFRA amplification and loss of CDKN2A/B

30. PATH-64. COMPREHENSIVE CNS TUMOUR MOLECULAR DIAGNOSTICS USING THIRD GENERATION SEQUENCING

31. Author Correction: Multiomic neuropathology improves diagnostic accuracy in pediatric neuro-oncology

32. The Site of Origin of Medulloblastoma: Surgical Observations Correlated to Molecular Groups

33. Mapping pediatric brain tumors to their origins in the developing cerebellum

34. Clinical outcome of pediatric medulloblastoma patients with Li–Fraumeni syndrome

35. Significant increase of high-risk chromosome 1q gain and 6q loss at recurrence in posterior fossa group A ependymoma: a multicenter study

36. Corrigendum to ‘Molecular diagnostics enables detection of actionable targets: the Pediatric Targeted Therapy 2.0 registry’ [Eur J Cancer 180 (2023) 71–84]

37. Abstract 234: ITCC-P4: Genomic profiling and analyses of pediatric patient tumor and patient-derived xenograft (PDX) models for high throughput in vivo testing

38. Data from Cross-Species Genomics Reveals Oncogenic Dependencies in ZFTA/C11orf95 Fusion–Positive Supratentorial Ependymomas

39. Data from Infant High-Grade Gliomas Comprise Multiple Subgroups Characterized by Novel Targetable Gene Fusions and Favorable Outcomes

40. Supplementary Table S4 from Cross-Species Genomics Reveals Oncogenic Dependencies in ZFTA/C11orf95 Fusion–Positive Supratentorial Ependymomas

41. Supplementary Data from Infant High-Grade Gliomas Comprise Multiple Subgroups Characterized by Novel Targetable Gene Fusions and Favorable Outcomes

42. Supplementary Table S3 from Infant High-Grade Gliomas Comprise Multiple Subgroups Characterized by Novel Targetable Gene Fusions and Favorable Outcomes

43. Supplementary Data from Cross-Species Genomics Reveals Oncogenic Dependencies in ZFTA/C11orf95 Fusion–Positive Supratentorial Ependymomas

44. Glioneuronal tumor with ATRX alteration, kinase fusion and anaplastic features (GTAKA):a molecularly distinct brain tumor type with recurrent NTRK gene fusions

45. Original Research Molecular diagnostics enables detection of actionable targets: the Pediatric Targeted Therapy 2.0 registry

46. Clinical implementation of integrated molecular-morphologic risk prediction for meningioma

47. Molecular characterisation defines clinically-actionable heterogeneity within Group 4 medulloblastoma and improves disease risk-stratification

48. Optimizing biomarkers for accurate ependymoma diagnosis, prognostication, and stratification within International Clinical Trials: A BIOMECA study.

49. Supplemental Material (for publication) File #1 from Large-scale Radiomic Profiling of Recurrent Glioblastoma Identifies an Imaging Predictor for Stratifying Anti-Angiogenic Treatment Response

50. supplemental legend from Large-scale Radiomic Profiling of Recurrent Glioblastoma Identifies an Imaging Predictor for Stratifying Anti-Angiogenic Treatment Response

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