Gene expression profiling for the diagnosis of acute leukaemia.
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Gene expression profiling for the diagnosis of acute leukaemia. / Haferlach, T; Kohlmann, A; Bacher, Ulrike; Schnittger, S; Haferlach, C; Kern, W.
In: BRIT J CANCER, Vol. 96, No. 4, 4, 2007, p. 535-540.Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review
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TY - JOUR
T1 - Gene expression profiling for the diagnosis of acute leukaemia.
AU - Haferlach, T
AU - Kohlmann, A
AU - Bacher, Ulrike
AU - Schnittger, S
AU - Haferlach, C
AU - Kern, W
PY - 2007
Y1 - 2007
N2 - 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 sub-entities. 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.
AB - 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 sub-entities. 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.
M3 - SCORING: Zeitschriftenaufsatz
VL - 96
SP - 535
EP - 540
JO - BRIT J CANCER
JF - BRIT J CANCER
SN - 0007-0920
IS - 4
M1 - 4
ER -
