MRNA, miRNA and SNP profiles of 50 HB tumors
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ABSTRACT:
PROVIDER: PRJNA303087 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Hepatoblastoma (HB) is the most common liver cancer in children, but few pre-treatment tumors have been molecularly profiled. Consequently, there are no validated prognostic or therapeutic biomarkers for HB patients. We report on molecular analysis of 88 clinically-annotated HB tumors. This analysis pointed to three risk-stratifying molecular subtypes—low, intermediate and high risk—that are characterized by differential activation of hepatic progenitor cell markers and metabolic pathways. High-risk tumors are characterized by high NFE2L2 activity and LIN28B, HMGA2, SALL4 and AFP expression, low let-7 expression and HNF1A activity, and high coordinated expression of oncofetal proteins and stem cell markers. Tests on a 35 HB validation set supported these genes as prognostic biomarkers.
2017-01-30 | GSE75284 | GEO
Project description:Hepatoblastoma (HB) is the most common liver cancer in children, but few pre-treatment tumors have been molecularly profiled. Consequently, there are no validated prognostic or therapeutic biomarkers for HB patients. We report on molecular analysis of 88 clinically-annotated HB tumors. This analysis pointed to three risk-stratifying molecular subtypes—low, intermediate and high risk—that are characterized by differential activation of hepatic progenitor cell markers and metabolic pathways. High-risk tumors are characterized by high NFE2L2 activity and LIN28B, HMGA2, SALL4 and AFP expression, low let-7 expression and HNF1A activity, and high coordinated expression of oncofetal proteins and stem cell markers. Tests on a 35 HB validation set supported these genes as prognostic biomarkers.
2017-01-30 | GSE75283 | GEO
Project description:Hepatoblastoma (HB) is the most common liver cancer in children, but few pre-treatment tumors have been molecularly profiled. Consequently, there are no validated prognostic or therapeutic biomarkers for HB patients. We report on molecular analysis of 88 clinically-annotated HB tumors. This analysis pointed to three risk-stratifying molecular subtypes—low, intermediate and high risk—that are characterized by differential activation of hepatic progenitor cell markers and metabolic pathways. High-risk tumors are characterized by high NFE2L2 activity and LIN28B, HMGA2, SALL4 and AFP expression, low let-7 expression and HNF1A activity, and high coordinated expression of oncofetal proteins and stem cell markers. Tests on a 35 HB validation set supported these genes as prognostic biomarkers.
2016-10-10 | GSE75271 | GEO
Project description:This SuperSeries is composed of the SubSeries listed below.
2016-10-12 | GSE75285 | GEO
Project description:250k Sty, 250k Nsp, 250k Hind and 250k Xba Affymetrix SNP arrays for 50 leukemia remission samples used as controls for copy number analysis for GSE9109 and GSE9112. Keywords: Acute leukemia, BCR-ABL1, chronic myeloid leukemia, copy number analysis, loss-of-heterozygosity, genomics *** Due to privacy concerns, the primary SNP array data is no longer available with unrestricted access. Individuals wishing to obtain this data for research purposes may request access using the Web links below. ***
2009-09-02 | GSE9111 | GEO
Project description:Idiomarina sp. HB strain:HB Genome sequencing
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Project 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.
2011-07-08 | E-GEOD-20971 | biostudies-arrayexpress