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利用分子标志物预测非霍奇金淋巴瘤的预后

Predicting the outcome in non-Hodgkin lymphoma with molecular markers.

作者信息

Kwong Yok-Lam

机构信息

Department of Medicine, University of Hong Kong, Hong Kong, China.

出版信息

Br J Haematol. 2007 May;137(4):273-87. doi: 10.1111/j.1365-2141.2007.06571.x. Epub 2007 Apr 4.

Abstract

The World Health Organization classification divides non-Hodgkin lymphomas into B-cell, T-cell and natural killer-cell lymphomas. They are heterogeneous in epidemiology, histopathology and outcome. Clinical prognostic indices rely only on patient factors and staging. Molecular prognostic markers reflect the intrinsic lymphoma biology, measure tumour load and may provide novel therapeutic targets. Lymphomagenesis involves mutations, deletions or dysregulations of genes critical in the control of cell cycle and apoptosis, which are in turn prognostically important. Genome-wide gene expression profiling, either by allowing lymphomas to be classified according to different stages of lymphoid maturation, or by defining specific gene expression signatures, is also of prognostic significance. In lymphomas where viral infections of the neoplastic cells occur, quantification of viral copies is a surrogate marker for tumour load and hence prognosis. Molecular markers together with patient and clinicopathological features will provide more accurate prognostic models for risk stratification, in order to improve treatment outcome.

摘要

世界卫生组织分类将非霍奇金淋巴瘤分为B细胞、T细胞和自然杀伤细胞淋巴瘤。它们在流行病学、组织病理学和预后方面具有异质性。临床预后指标仅依赖于患者因素和分期。分子预后标志物反映淋巴瘤的内在生物学特性,测量肿瘤负荷,并可能提供新的治疗靶点。淋巴瘤的发生涉及细胞周期和细胞凋亡控制中关键基因的突变、缺失或失调,而这些反过来在预后方面也很重要。全基因组基因表达谱分析,无论是通过根据淋巴样成熟的不同阶段对淋巴瘤进行分类,还是通过定义特定的基因表达特征,也具有预后意义。在发生肿瘤细胞病毒感染的淋巴瘤中,病毒拷贝数的定量是肿瘤负荷的替代标志物,因此也是预后的替代标志物。分子标志物与患者及临床病理特征相结合,将为风险分层提供更准确的预后模型,以改善治疗结果。

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