Linked Life Data

16888896

Source:http://linkedlifedata.com/resource/pubmed/id/16888896

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2006-8-7
pubmed:abstractText
Contemporary treatment of acute leukemia requires the accurate assignment of patients at diagnosis to specific risk groups. To determine whether gene expression profiling could enhance risk assignment, we used oligonucleotide microarrays to analyze the pattern of genes expressed in leukemic blasts from 360 pediatric ALL patients and 130 pediatric AML patients. Our analysis demonstrates that the single platform of gene expression profiling can accurately identify the known prognostically important genetic subtypes of ALL, including T-ALL, E2A-PBX1, TEL-AML1, MLL rearrangements, BCR-abl, and hyperdiploid >50 chromosomes, and AML, including t(15;17)[PML-RARalpha], t(8;21)[AML1-ETO], inv(16)[CBFbeta-MYH11], MLL gene rearrangement, and cases with FAB-M7 morphology. In addition, within ALL, a novel subgroup was identified based on its unique expression profile. Examination of the gene expression signatures for the different genetic subtypes of acute leukemia provided important insights into the molecular pathology of these leukemias.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
0070-4113
pubmed:author
pubmed:issnType
Print
pubmed:volume
87
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
66-71
pubmed:dateRevised
2007-11-15
pubmed:meshHeading
pubmed:year
2003
pubmed:articleTitle
Acute leukemia: subtype discovery and prediction of outcome by gene expression profiling.
pubmed:affiliation
Department of Pathology, St Jude Children's Research Hospital, Memphis, TN, USA.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Research Support, N.I.H., Extramural