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淋巴系统恶性肿瘤中的DNA微阵列

DNA microarrays in lymphoid malignancies.

作者信息

Rosenwald Andreas

机构信息

Institute of Pathology, University of Würzburg, Würzburg, Germany.

出版信息

Oncology (Williston Park). 2003 Dec;17(12):1743-8; discussion 1750, 1755, 1758-9 passim.

Abstract

Gene expression profiling using cDNA microarrays has the potential to improve current lymphoma classification schemes by establishing a molecular diagnosis of these malignancies. The use of this technology led to the discovery of biologically and clinically distinct subtypes of diffuse large B-cell lymphoma (DLBCL). Gene expression data can also be used to formulate powerful mathematical algorithms that predict the clinical outcome in patients with DLBCL and mantle cell lymphoma. In B-cell chronic lymphocytic leukemia, gene expression profiling identified ZAP70, an important prognostic marker whose expression correlates with the mutational status of the immunoglobulin heavy chain gene and, therefore, with survival in these patients. These examples illustrate that gene expression profiling may pave the way for detailed molecular characterization of lymphoid malignancies that will ultimately lead to tailored, disease-specific therapies.

摘要

利用cDNA微阵列进行基因表达谱分析,有潜力通过建立这些恶性肿瘤的分子诊断来改进当前的淋巴瘤分类方案。这项技术的应用促使人们发现了弥漫性大B细胞淋巴瘤(DLBCL)在生物学和临床上不同的亚型。基因表达数据还可用于制定强大的数学算法,以预测DLBCL和套细胞淋巴瘤患者的临床结局。在B细胞慢性淋巴细胞白血病中,基因表达谱分析鉴定出ZAP70,这是一种重要的预后标志物,其表达与免疫球蛋白重链基因的突变状态相关,因此与这些患者的生存率相关。这些例子表明,基因表达谱分析可能为淋巴恶性肿瘤的详细分子特征分析铺平道路,最终将带来针对性的、针对疾病的治疗方法。

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