Integrative genomic analysis of medulloblastoma identifies a molecular subgroup that drives poor clinical outcome.

Publication Type:

Journal Article

Source:

Journal of clinical oncology : official journal of the American Society of Clinical Oncology, Volume 29, Issue 11, p.1424-30 (2011)

Keywords:

2011, Algorithms, Cerebellar Neoplasms, Child, Clinical Research Division, DNA-Binding Proteins, Gene Expression Regulation, Neoplastic, GENOMICS, Humans, Immunohistochemistry, In Situ Hybridization, Fluorescence, Medulloblastoma, Polymorphism, Single Nucleotide, Predictive Value of Tests, Prognosis, RNA, Neoplasm, TRANSCRIPTION FACTORS

Abstract:

Medulloblastomas are heterogeneous tumors that collectively represent the most common malignant brain tumor in children. To understand the molecular characteristics underlying their heterogeneity and to identify whether such characteristics represent risk factors for patients with this disease, we performed an integrated genomic analysis of a large series of primary tumors.