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基因表达谱在淋巴瘤中的诊断和预后意义

Diagnostic and prognostic significance of gene expression profiling in lymphomas.

作者信息

Leich Ellen, Hartmann Elena Maria, Burek Christof, Ott German, Rosenwald Andreas

机构信息

Institute of Pathology, University of Würzburg, Germany.

出版信息

APMIS. 2007 Oct;115(10):1135-46. doi: 10.1111/j.1600-0463.2007.apm_867.xml.x.

Abstract

Gene expression profiling is a powerful tool to uncover complex molecular networks in cancer and, specifically, in malignant lymphomas. Within diffuse large B-cell lymphomas (DLBCL), two major molecular subtypes, the activated B-cell-like (ABC) and the germinal center B-cell-like (GCB) DLBCL, can be defined. Compared to GCB DLBCL, ABC DLBCL shows a vast difference in gene expression and constitutively expresses NFkappaB and its target genes. In retrospective analyses, the molecular phenotype of ABC DLBCL is associated with inferior survival. Gene expression profiling furthermore allows the molecular separation of Burkitt lymphoma (BL) from DLBCL and reveals a Burkitt-specific signature which is also expressed by a subset of tumors that are currently classified as DLBCL. Whether patients with a DLBCL displaying a Burkitt-specific gene expression signature may benefit from alternative therapeutic approaches will have to be determined in future prospective clinical trials. In follicular lymphoma (FL), two outcome-related signatures, termed Immune response 1 (IR1) and Immune response 2 (IR2), have been identified by gene expression profiling, indicating a significant role of the microenvironment in tumor development and progression. IR1, composed of genes mostly expressed by T-cells, was found to be associated with a more favorable clinical course, and IR2, enriched for genes expressed by macrophages and follicular dendritic cells, was found to be associated with an inferior clinical course. In mantle cell lymphoma (MCL), a gene expression-based proliferation signature of 20 different genes was identified that is able to predict survival of MCL patients in a linear fashion. Future efforts will have to be directed towards the translation of relevant molecular diagnostic and prognostic markers derived from the wealth of gene expression data into clinical tests and towards the development of novel, targeted therapies.

摘要

基因表达谱分析是揭示癌症尤其是恶性淋巴瘤中复杂分子网络的有力工具。在弥漫性大B细胞淋巴瘤(DLBCL)中,可以定义两种主要的分子亚型,即活化B细胞样(ABC)和生发中心B细胞样(GCB)DLBCL。与GCB DLBCL相比,ABC DLBCL在基因表达上有很大差异,并组成性表达NFκB及其靶基因。在回顾性分析中,ABC DLBCL的分子表型与较差的生存率相关。基因表达谱分析还能将伯基特淋巴瘤(BL)与DLBCL进行分子区分,并揭示出一种伯基特特异性特征,该特征也由目前归类为DLBCL的一部分肿瘤所表达。具有伯基特特异性基因表达特征的DLBCL患者是否能从替代治疗方法中获益,还有待未来的前瞻性临床试验来确定。在滤泡性淋巴瘤(FL)中,通过基因表达谱分析确定了两种与预后相关的特征,即免疫反应1(IR1)和免疫反应2(IR2),这表明微环境在肿瘤发生和发展中起重要作用。发现由主要由T细胞表达的基因组成的IR1与更有利的临床病程相关,而富含巨噬细胞和滤泡树突状细胞表达基因的IR2与较差的临床病程相关。在套细胞淋巴瘤(MCL)中,确定了一个基于20种不同基因的基因表达增殖特征,该特征能够以线性方式预测MCL患者的生存率。未来的工作必须致力于将从大量基因表达数据中获得的相关分子诊断和预后标志物转化为临床试验,并致力于开发新的靶向治疗方法。

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