Linked Life Data

14582079

Source:http://linkedlifedata.com/resource/pubmed/id/14582079

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2003-10-28
pubmed:abstractText
The standard methods to diagnose leukemia are cytomorphology and, in some cases, histology, which both are supplemented by cytochemistry and multiparameter immunophenotyping. Cytogenetics, fluorescence in situ hybridisation (FISH), and polymerase chain reaction (PCR) assays add important information and allow comprehensive diagnosis of well-defined subentities today. In the clinic, better understanding of the course of distinct, biologically defined disease subtypes is the basis for a selection of specific therapeutic approaches. As knowledge on deregulated pathways in leukemia accelerates the development of new therapeutics, a detailed and comprehensive diagnostic tool is required. The microarray technology that quantifies gene expression intensities of thousands of genes in a single analysis has the potential to become essential for the molecular classification of leukemias. Microarrays may be used routinely for diagnostic purposes in the near future. Gene expression profiling should also lead to the detection of new biological and clinically relevant subtypes in leukemia and therefore guide therapeutic decisions.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
0037-1963
pubmed:author
pubmed:issnType
Print
pubmed:volume
40
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
281-95
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2003
pubmed:articleTitle
Gene expression profiling as a tool for the diagnosis of acute leukemias.
pubmed:affiliation
Department of Internal Medicine III, University Hospital Grosshadern, Munich, Germany.
pubmed:publicationType
Journal Article, Comparative Study, Review