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

ABSTRACT:

Purpose

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.

Patients and methods

We profiled the mRNA transcriptome of 194 medulloblastomas and performed high-density single nucleotide polymorphism array and miRNA analysis on 115 and 98 of these, respectively. Non-negative matrix factorization-based clustering of mRNA expression data was used to identify molecular subgroups of medulloblastoma; DNA copy number, miRNA profiles, and clinical outcomes were ana

SUBMITTER: Cho YJ 

PROVIDER: S-EPMC3082983 | biostudies-literature | 2011 Apr

REPOSITORIES: biostudies-literature