Haferlach T, Kohlmann A, Bacher U, Schnittger S, Haferlach C, Kern W
MLL Munich Leukemia Laboratory, Max-Lebsche-Platz 31, Munich 81377, Germany.
Br J Cancer. 2007 Feb 26;96(4):535-40. doi: 10.1038/sj.bjc.6603495. Epub 2006 Dec 5.
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.
急性白血病的优化诊断方法结合了细胞形态学和细胞化学、多参数免疫表表表分析、细胞遗传学、荧光原位杂交以及基于聚合酶链反应(PCR)的检测。这有助于对生物学定义且与预后相关的亚型进行分类和界定,并能对某些亚类进行针对性治疗。在过去几年中,微阵列技术已能在单次实验中同时对成千上万的基因表达状态进行量化。这种新方法有望在不久的将来成为急性白血病分子分类的重要工具。可以预见,基于独特的基因表达谱,将会识别出新的生物学定义且与临床相关的白血病亚型。因此,该方法可能会指导治疗决策,并且应该与既定的标准方法并行,在诊断环境中进行研究。