Linked Life Data

20425341

Source:http://linkedlifedata.com/resource/pubmed/id/20425341

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2010-4-28
pubmed:abstractText
Since the first demonstration in 1999 that gene expression profiling could distinguish between different variants of acute leukemia, several studies have analyzed patients with acute myeloid leukemia on the basis of cytogenetics, morphologic subgroups, secondary mutations such as FLT3, prognosis, and therapeutic response. This review examines some of these data and attempts to discuss whether these analyses will have clinical applications in diagnosis, prediction of prognosis and response to therapy, disease classification, or individually targeted therapy. It is probable that all these areas will reach the clinical environment eventually, but in the short to medium term, microarrays will be involved only in diagnosis.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
1558-822X
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
1
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
114-21
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Clinical implications of gene expression profiling of acute myeloid leukemia.
pubmed:affiliation
Department of Haematology, Cardiff University, Heath Park, Wales, UK. millski@cardiff.ac.uk
pubmed:publicationType
Journal Article, Review