563 results on '"Clifford, Steven C"'
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2. Compartments in medulloblastoma with extensive nodularity are connected through differentiation along the granular precursor lineage
3. The clinical significance of sub-total surgical resection in childhood medulloblastoma: a multi-cohort analysis of 1100 patients
4. Metabolite profiles of medulloblastoma for rapid and non-invasive detection of molecular disease groups
5. Molecular characterisation defines clinically-actionable heterogeneity within Group 4 medulloblastoma and improves disease risk-stratification
6. Combining multi-site Magnetic Resonance Imaging with machine learning predicts survival in paediatric brain tumours
7. ARF suppression by MYC but not MYCN confers increased malignancy of aggressive pediatric brain tumors
8. Identifying new biomarkers of aggressive Group 3 and SHH medulloblastoma using 3D hydrogel models, single cell RNA sequencing and 3D OrbiSIMS imaging
9. Disease-associated KBTBD4 mutations in medulloblastoma elicit neomorphic ubiquitylation activity to promote CoREST degradation
10. Single-cell DNA sequencing identifies risk-associated clonal complexity and evolutionary trajectories in childhood medulloblastoma development
11. Risk factors for domain-specific neurocognitive outcome in pediatric survivors of a brain tumor in the posterior fossa—Results of the HIT 2000 trial.
12. In vivo modelling recapitulates radiotherapy delivery and late-effect profile for childhood medulloblastoma
13. Correction: Bailey et al. Clinical Trials in High-Risk Medulloblastoma: Evolution of the SIOP-Europe HR-MB Trial. Cancers 2022, 14, 374
14. Inositol treatment inhibits medulloblastoma through suppression of epigenetic-driven metabolic adaptation
15. Combining multi-site magnetic resonance imaging with machine learning predicts survival in pediatric brain tumors
16. EANO–EURACAN clinical practice guideline for diagnosis, treatment, and follow-up of post-pubertal and adult patients with medulloblastoma
17. Cytogenetic prognostication within medulloblastoma subgroups.
18. Subgroup-specific prognostic implications of TP53 mutation in medulloblastoma.
19. Second-generation molecular subgrouping of medulloblastoma: an international meta-analysis of Group 3 and Group 4 subtypes
20. Deriving a continuum score for group 3 and 4 medulloblastoma tumor samples analyzed via RNA-sequencing or DNA methylation microarray
21. Novel molecular subgroups for clinical classification and outcome prediction in childhood medulloblastoma: a cohort study
22. VEGFC negatively regulates the growth and aggressiveness of medulloblastoma cells
23. Author Correction: VEGFC negatively regulates the growth and aggressiveness of medulloblastoma cells
24. Pediatric pan-central nervous system tumor analysis of immune-cell infiltration identifies correlates of antitumor immunity
25. The AHR pathway represses TGFβ-SMAD3 signalling and has a potent tumour suppressive role in SHH medulloblastoma
26. Clinical outcome of pediatric medulloblastoma patients with Li–Fraumeni syndrome
27. Timing is everything: A connection between medulloblastoma prognosis and foetal cerebellar development
28. ARF suppression by MYC but not MYCN confers increased malignancy of aggressive pediatric brain tumors
29. Medulloblastoma
30. Supplementary Table S3 from Dormant SOX9-Positive Cells Facilitate MYC-Driven Recurrence of Medulloblastoma
31. Supplementary Data from Dormant SOX9-Positive Cells Facilitate MYC-Driven Recurrence of Medulloblastoma
32. Supplementary Figure Legends from Dormant SOX9-Positive Cells Facilitate MYC-Driven Recurrence of Medulloblastoma
33. Supplementary Data from Inhibition of Poly(ADP-Ribose) Polymerase-1 Enhances Temozolomide and Topotecan Activity against Childhood Neuroblastoma
34. Supplementary Data from Rapid Diagnosis of Medulloblastoma Molecular Subgroups
35. Supplementary Figure 4 from Genome-Wide Analysis of Alternative Splicing in Medulloblastoma Identifies Splicing Patterns Characteristic of Normal Cerebellar Development
36. Data from Genome-Wide Analysis of Alternative Splicing in Medulloblastoma Identifies Splicing Patterns Characteristic of Normal Cerebellar Development
37. Supplementary Table 3 from Genome-Wide Analysis of Alternative Splicing in Medulloblastoma Identifies Splicing Patterns Characteristic of Normal Cerebellar Development
38. Supplementary Table 2 from Genome-Wide Analysis of Alternative Splicing in Medulloblastoma Identifies Splicing Patterns Characteristic of Normal Cerebellar Development
39. Supplementary Figure 2 from Genome-Wide Analysis of Alternative Splicing in Medulloblastoma Identifies Splicing Patterns Characteristic of Normal Cerebellar Development
40. Supplementary Figure 1 from Genome-Wide Analysis of Alternative Splicing in Medulloblastoma Identifies Splicing Patterns Characteristic of Normal Cerebellar Development
41. Supplementary Figure 3 from Genome-Wide Analysis of Alternative Splicing in Medulloblastoma Identifies Splicing Patterns Characteristic of Normal Cerebellar Development
42. Supplementary Table 1 from Genome-Wide Analysis of Alternative Splicing in Medulloblastoma Identifies Splicing Patterns Characteristic of Normal Cerebellar Development
43. Supplementary Table 4 from Genome-Wide Analysis of Alternative Splicing in Medulloblastoma Identifies Splicing Patterns Characteristic of Normal Cerebellar Development
44. Supplementary Methods, Figure Legends 1-4 from Genome-Wide Analysis of Alternative Splicing in Medulloblastoma Identifies Splicing Patterns Characteristic of Normal Cerebellar Development
45. Additional file 2 of Identifying new biomarkers of aggressive Group 3 and SHH medulloblastoma using 3D hydrogel models, single cell RNA sequencing and 3D OrbiSIMS imaging
46. Methylation-Controlled J Protein
47. Outcomes of Infants and Young Children With Relapsed Medulloblastoma After Initial Craniospinal Irradiation–Sparing Approaches: An International Cohort Study
48. How Can Genomic Innovations in Pediatric Brain Tumors Transform Outcomes in Low- and Middle-Income Countries?
49. Dormant SOX9-Positive Cells Facilitate MYC-Driven Recurrence of Medulloblastoma
50. Relapse patterns and outcome after relapse in standard risk medulloblastoma: a report from the HIT-SIOP-PNET4 study
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