Document Detail


Gene expression profiling as a tool for the diagnosis of acute leukemias.
MedLine Citation:
PMID:  14582079     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
Torsten Haferlach; Alexander Kohlmann; Wolfgang Kern; Wolfgang Hiddemann; Susanne Schnittger; Claudia Schoch
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Publication Detail:
Type:  Comparative Study; Journal Article; Review    
Journal Detail:
Title:  Seminars in hematology     Volume:  40     ISSN:  0037-1963     ISO Abbreviation:  Semin. Hematol.     Publication Date:  2003 Oct 
Date Detail:
Created Date:  2003-10-28     Completed Date:  2004-07-09     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0404514     Medline TA:  Semin Hematol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  281-95     Citation Subset:  IM    
Affiliation:
Department of Internal Medicine III, University Hospital Grosshadern, Munich, Germany.
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MeSH Terms
Descriptor/Qualifier:
Acute Disease
Data Interpretation, Statistical
Gene Expression Profiling / methods*
Gene Expression Regulation, Neoplastic
Humans
Leukemia / classification,  diagnosis*,  genetics
Oligonucleotide Array Sequence Analysis

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