Staudt Louis M, Dave Sandeep
Metabolism Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland 20892, USA.
Adv Immunol. 2005;87:163-208. doi: 10.1016/S0065-2776(05)87005-1.
Gene expression profiling provides a quantitative molecular framework for the study of human lymphomas. This genomic technology has revealed that existing diagnostic categories are comprised of multiple molecularly and clinically distinct diseases. Diffuse large B-cell lymphoma (DLBCL), for example, consists of three gene expression subgroups, termed germinal center B-cell-like (GCB) DLBCL, activated B-cell-like (ABC) DLBCL, and primary mediastinal B-cell lymphoma (PMBL). These DLBCL subgroups arise from different stages of normal B-cell differentiation, utilize distinct oncogenic mechanisms, and differ in their ability to be cured by chemotherapy. Key regulatory factors and their target genes are differentially expressed among these subgroups, including BCL-6, Blimp-1, and XBP1. ABC DLBCL and PMBL depend upon constitutive activation of the NF-kappaB pathway for their survival but GCB DLBCL does not, demonstrating that this pathway is a potential therapeutic target for certain DLBCL subgroups. In DLBCL, mantle cell lymphoma, and follicular lymphoma, gene expression profiling has also been used to create gene expression-based models of survival, which have identified the biological characteristics of the tumors that influence their clinical behavior. In mantle cell lymphoma, the length of survival following diagnosis is primarily influenced by the tumor proliferation rate, which can be quantitatively measured by a proliferation gene expression "signature." Based on this accurate measure, the proliferation rate can now be viewed as an integration of several oncogenic lesions that each increase progression from the G1 to the S phase of the cell cycle. In DLBCL and follicular lymphoma, gene expression profiling has revealed that the molecular characteristics of non-malignant tumor-infiltrating immune cells have a major influence on the length of survival. The implications of these insights for the diagnosis and treatment of non-Hodgkin lymphomas are discussed.
基因表达谱分析为人类淋巴瘤的研究提供了一个定量的分子框架。这项基因组技术揭示,现有的诊断分类包含多种分子和临床特征各异的疾病。例如,弥漫性大B细胞淋巴瘤(DLBCL)由三个基因表达亚组组成,分别称为生发中心B细胞样(GCB)DLBCL、活化B细胞样(ABC)DLBCL和原发性纵隔B细胞淋巴瘤(PMBL)。这些DLBCL亚组源自正常B细胞分化的不同阶段,利用不同的致癌机制,并且在化疗治愈能力方面存在差异。关键调控因子及其靶基因在这些亚组中差异表达,包括BCL-6、Blimp-1和XBP1。ABC DLBCL和PMBL依赖于NF-κB通路的组成性激活来维持生存,但GCB DLBCL并非如此,这表明该通路是某些DLBCL亚组的潜在治疗靶点。在DLBCL、套细胞淋巴瘤和滤泡性淋巴瘤中,基因表达谱分析还被用于创建基于基因表达的生存模型,这些模型确定了影响肿瘤临床行为的生物学特征。在套细胞淋巴瘤中,诊断后的生存长度主要受肿瘤增殖率影响,肿瘤增殖率可通过增殖基因表达“特征”进行定量测量。基于这一准确测量,增殖率现在可被视为几种致癌病变的综合体现,每种病变都会增加细胞周期从G1期到S期的进程。在DLBCL和滤泡性淋巴瘤中,基因表达谱分析表明,非恶性肿瘤浸润免疫细胞的分子特征对生存长度有重大影响。本文讨论了这些见解对非霍奇金淋巴瘤诊断和治疗的意义。