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

Released on 8 July 2011, last updated on 19 July 2011
Homo sapiens
Samples (58)
Array (1)
Protocols (6)
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 
stefano cairo <>, Marie-Annick Buendia, Stefano Cairo
Investigation descriptionE-GEOD-20971.idf.txt
Sample and data relationshipE-GEOD-20971.sdrf.txt
Raw data (1)
Processed data (1)
Array designA-GEOD-10231.adf.txt