Unknown,Transcriptomics,Genomics,Proteomics

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Gene expression data from medulloblastoma tumor samples


ABSTRACT: Smoothened (SMO)-inhibitors recently entered clinical trials for sonic-hedgehog driven medulloblastoma (SHH-MB). Clinical response appears highly variable. To understand the mechanism(s) of primary resistance and to identify pathways co-operating with aberrant SHH-signaling, we sequenced a large cohort of SHH-MBs across all age groups by sequencing, DNA methylation and expression profiling. Our data show that most adults but only half of the pediatric patients with SHH-MB will respond to SMO inhibition as predicted by molecular analysis of the primary tumor and tested in the SHH-xenografts, demonstrating that the next generation of SMO-inhibitor trials should be based on these predictive biomarkers. To further dissect the biological differences between the different age groups within SHH medulloblastomas, we looked at the transcriptomic profiles of SHH medulloblastoma samples. 73 medulloblastoma samples from patients of various ages were selected for RNA extraction and hybridization on Affymetrix Human Genome U133 Plus 2.0 Arrays.

ORGANISM(S): Homo sapiens

SUBMITTER: Marcel Kool 

PROVIDER: E-GEOD-49243 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Genomic and transcriptomic analyses match medulloblastoma mouse models to their human counterparts.

Pöschl Julia J   Stark Sebastian S   Neumann Philipp P   Neumann Philipp P   Gröbner Susanne S   Kawauchi Daisuke D   Jones David T W DT   Northcott Paul A PA   Lichter Peter P   Pfister Stefan M SM   Kool Marcel M   Schüller Ulrich U  

Acta neuropathologica 20140529 1


Medulloblastoma is a malignant embryonal brain tumor with highly variable outcome. In order to study the biology of this tumor and to perform preclinical treatment studies, a lot of effort has been put into the generation of appropriate mouse models. The usage of these models, however, has become debatable with the advances in human medulloblastoma subgrouping. This study brings together multiple relevant mouse models and matches genetic alterations and gene expression data of 140 murine tumors  ...[more]

Publication: 1/2

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