Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Transcription profiling of human ALL samples for patients included in the Dutch Childhood Oncology Group


ABSTRACT: Childhood acute lymphoblastic leukemia (ALL) comprises a large group of genetic subtypes with a favorable prognosis characterized by a TEL-AML1-fusion, hyperdiploidy (>50 chromosomes) or E2A-PBX1 fusion and a smaller group with unfavorable outcome characterized by either a BCR-ABL-fusion, MLL-rearrangement or T-ALL. About 25% of precursor B-ALL are currently genetically unclassified and have an intermediate prognosis. The present study used genome-wide strategies to reveal new biological insights and advance the prognostic classification of childhood ALL. A double-loop cross validation was used to construct a classifier based on gene expression in ALL cells from 190 newly diagnosed cases (COALL cohort, GEO GSE13425) with a prediction accuracy of 90%. T-ALL, TEL-AML1-positive, hyperdiploid and E2A-rearranged cases were identified with 100% sensitivity and â?¥94% specificity. The classifier accuracy was confirmed in an independent cohort of 107 cases (87.9%, DCOG cohort, GEO GSE13351). Experiment Overall Design: Bone marrow and peripheral blood samples were collected at diagnosis and frozen. After thawing, RNA was extracted, labelled and hybridized to Affymetrix U133 Plus 2.0 arrays.

ORGANISM(S): Homo sapiens

SUBMITTER: Monique Den Boer 

PROVIDER: E-GEOD-13351 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications


<h4>Background</h4>Genetic subtypes of acute lymphoblastic leukaemia (ALL) are used to determine risk and treatment in children. 25% of precursor B-ALL cases are genetically unclassified and have intermediate prognosis. We aimed to use a genome-wide study to improve prognostic classification of ALL in children.<h4>Methods</h4>We constructed a classifier based on gene expression in 190 children with newly diagnosed ALL (German Cooperative ALL [COALL] discovery cohort) by use of double-loop cross-  ...[more]

Similar Datasets

2009-01-26 | GSE13351 | GEO
2009-01-26 | GSE13425 | GEO
2009-01-31 | E-GEOD-13425 | biostudies-arrayexpress
2008-06-16 | E-GEOD-9170 | biostudies-arrayexpress
2015-05-13 | E-GEOD-64919 | biostudies-arrayexpress
2015-05-13 | GSE64919 | GEO
2015-12-31 | GSE67519 | GEO
2015-12-31 | E-GEOD-67519 | biostudies-arrayexpress
2007-09-27 | GSE9170 | GEO
2010-08-28 | GSE23842 | GEO