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166 results on '"Rosenberg, Shai"'

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1. Polynomial compositions with large monodromy groups and applications to arithmetic dynamics

8. Survival Implications of the Relationship between Tissue versus Circulating Tumor DNA TP53 Mutations—A Perspective from a Real-World Precision Medicine Cohort

9. Infinite closed monochromatic subsets of a metric space

10. Square-free values of multivariate polynomials over function fields in linear sparse sets

11. EXTH-59. IDENTIFICATION OF GROWTH HORMONE RECEPTOR AS A RELEVANT TARGET FOR PRECISION MEDICINE IN LOW-EGFR EXPRESSING GLIOBLASTOMA

23. Concordance between cancer gene alterations in tumor and circulating tumor DNA correlates with poor survival in a real‐world precision‐medicine population.

27. Identification of growth hormone receptor as a relevant target for precision medicine in low‐EGFR expressing glioblastoma

29. Tumor cells with neuronal intermediate progenitor features define a subgroup of 1p/19q co‐deleted anaplastic gliomas

31. Rituximab, methotrexate, procarbazine and lomustine (R-MPL) for the treatment of primary Central nervous system lymphoma

40. A recurrent point mutation in PRKCA is a hallmark of chordoid gliomas

41. Ev vivo organ culture as potential prioritization tool for breast cancer targeted therapy

42. Tumor cells with neuronal intermediate progenitor features define a subgroup of 1p/19q co-deleted anaplastic gliomas

43. GENE-54. A NOVEL MUTATION IN PRKCA IS THE MAJOR DRIVER OF CHORDOID GLIOMAS

45. Treatment inferred from mutations identified using massive parallel sequencing leads to clinical benefit in some heavily pretreated cancer patients

46. Machine Learning for Better Prognostic Stratification and Driver Gene Identification Using Somatic Copy Number Variations in Anaplastic Oligodendroglioma.

48. Multi-omics analysis of primary glioblastoma cell lines shows recapitulation of pivotal molecular features of parental tumors

49. GENO-33PATIENT DERIVED GLIOBLASTOMA CELL LINES RECAPITULATE PARENTAL TUMORS' MOLECULAR LANDSCAPE

50. Square-free values of multivariate polynomials over function fields in linear sparse sets.

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