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E-GEOD-20971 - miRNA expression of human samples of hepatoblastoma (HB) and normal and fetal liver

Status
Released on 8 July 2011, last updated on 19 July 2011
Organism
Homo sapiens
Samples (58)
Array (1)
Protocols (6)
Description
Forty-nine hepatoblastoma (HB) tumor specimens were profiled on a microarray containing 250human miRNA, in order to identify miR classifiers that could discriminate HBs with diverse prognosis, and to get insight on the functional mechanisms in which miRNAs are involved. Hierarchical unsupervised clustering of HB samples according to their miRNA expression profile identifies 2 tumor subgroups associated with different degree of differentiation, proliferation rate and invasive phenotype. As subset of these tumors is used as training set to build a mir classifier. When the signature is applied to an independent test set, an independent series of HB is classified patients into two groups associated with the clinical features identified in the first set of patients.
Experiment type
transcription profiling by array 
Contacts
stefano cairo <stefano.cairo@gmail.com>, Marie-Annick Buendia, Stefano Cairo
MIAME
PlatformsProtocolsVariablesProcessedRaw
Files
Investigation descriptionE-GEOD-20971.idf.txt
Sample and data relationshipE-GEOD-20971.sdrf.txt
Raw data (1)E-GEOD-20971.raw.1.zip
Processed data (1)E-GEOD-20971.processed.1.zip
Array designA-GEOD-10231.adf.txt
Links