Gene expression profiling for the diagnosis of acute leukaemia

An optimised diagnostic setting in acute leukaemias combines cytomorphology and cytochemistry, multiparameter immunophenotyping, cytogenetics, fluorescence in situ hybridisation, and polymerase chain reaction (PCR)-based assays. This allows classification and definition of biologically defined and p...

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Bibliographic Details
Published in:British journal of cancer 2007-02, Vol.96 (4), p.535-540
Main Authors: Haferlach, T, Kohlmann, A, Bacher, U, Schnittger, S, Haferlach, C, Kern, W
Format: Article
Language:English
Subjects:
Acute Disease
Algorithms
Arrays
Biological and medical sciences
Biomedical and Life Sciences
Biomedicine
Cancer Research
Classification
Cytogenetics
Data mining
Drug Resistance
Epidemiology
Gene expression
Gene Expression Profiling
Humans
Leukemia
Leukemia - diagnosis
Leukemia - genetics
Medical research
Medical sciences
Molecular Medicine
Neoplasm, Residual - diagnosis
Neoplasm, Residual - genetics
Oligonucleotide Array Sequence Analysis - methods
Oncology
Polymerase chain reaction
Prognosis
Reverse Transcriptase Polymerase Chain Reaction - methods
Review
Sensitivity and Specificity
Tumors
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Summary:An optimised diagnostic setting in acute leukaemias combines cytomorphology and cytochemistry, multiparameter immunophenotyping, cytogenetics, fluorescence in situ hybridisation, and polymerase chain reaction (PCR)-based assays. This allows classification and definition of biologically defined and prognostically relevant subtypes, and allows directed treatment in some subentities. Over the last years the microarray technology has helped to quantify simultaneously the expression status of ten thousands of genes in single experiments. This novel approach will hopefully become an essential tool for the molecular classification of acute leukaemias in the near future. It can be anticipated that new biologically defined and clinically relevant subtypes of leukaemia will be identified based on their unique gene expression profiles. This method may therefore guide therapeutic decisions and should be investigated in a diagnostic setting in parallel to established standard methods.
ISSN:0007-0920
1532-1827
DOI:10.1038/sj.bjc.6603495