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通过基因表达谱分析对淋巴系统恶性肿瘤进行分子诊断。

Molecular diagnosis of lymphoid malignancies by gene expression profiling.

作者信息

Davis R Eric, Staudt Louis M

机构信息

Metabolism Branch, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland 20892, USA.

出版信息

Curr Opin Hematol. 2002 Jul;9(4):333-8. doi: 10.1097/00062752-200207000-00011.

Abstract

Gene expression profiling using DNA microarrays has great potential to improve the understanding, diagnosis, and management of lymphomas, leukemias, and other malignancies. Gene expression profiling studies of diffuse large B-cell lymphoma (DLBCL) have shown that this diagnostic category encompasses at least two molecularly distinct diseases, differing in differentiation stage (cell of origin), oncogenic mechanisms, and clinical outcome. Gene expression profiling revealed that the antiapoptotic NF-kappaB pathway is constitutively active in one DLBCL subgroup, termed activated B cell-like DLBCL, and subsequent studies validated NF-kappaB as a therapeutic target in this type of lymphoma. DNA microarray studies of chronic lymphocytic leukemia (CLL) have led to a gene expression-based predictor that identifies two subtypes of CLL that differ with respect to clinical course and presence of immunoglobulin gene mutations in the CLL cells. These findings underscore the value of gene expression profiling in defining subtypes within the lymphoid malignancies that are molecularly and clinically distinct and argue that this genomic technology should become an integral part of prospective clinical trials.

摘要

使用DNA微阵列进行基因表达谱分析在增进对淋巴瘤、白血病及其他恶性肿瘤的理解、诊断和治疗方面具有巨大潜力。弥漫性大B细胞淋巴瘤(DLBCL)的基因表达谱研究表明,这一诊断类别至少包含两种分子特征不同的疾病,它们在分化阶段(起源细胞)、致癌机制和临床结果方面存在差异。基因表达谱分析显示,抗凋亡的NF-κB通路在一个DLBCL亚组中持续激活,该亚组被称为活化B细胞样DLBCL,随后的研究证实NF-κB是这类淋巴瘤的治疗靶点。慢性淋巴细胞白血病(CLL)的DNA微阵列研究产生了一种基于基因表达的预测指标,该指标可识别出两种CLL亚型,它们在临床病程以及CLL细胞中免疫球蛋白基因突变的存在情况方面存在差异。这些发现强调了基因表达谱分析在定义分子和临床特征不同的淋巴恶性肿瘤亚型中的价值,并表明这种基因组技术应成为前瞻性临床试验的一个组成部分。

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