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国际骨髓瘤工作组多发性骨髓瘤分子分类:重点综述。

International Myeloma Working Group molecular classification of multiple myeloma: spotlight review.

机构信息

Department of Hematology-Oncology, Mayo Clinic, 13400 East Shea Boulevard, Scottsdale, AR 85259-5494, USA.

出版信息

Leukemia. 2009 Dec;23(12):2210-21. doi: 10.1038/leu.2009.174. Epub 2009 Oct 1.

DOI:10.1038/leu.2009.174
PMID:19798094
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2964268/
Abstract

Myeloma is a malignant proliferation of monoclonal plasma cells. Although morphologically similar, several subtypes of the disease have been identified at the genetic and molecular level. These genetic subtypes are associated with unique clinicopathological features and dissimilar outcome. At the top hierarchical level, myeloma can be divided into hyperdiploid and non-hyperdiploid subtypes. The latter is mainly composed of cases harboring IgH translocations, generally associated with more aggressive clinical features and shorter survival. The three main IgH translocations in myeloma are the t(11;14)(q13;q32), t(4;14)(p16;q32) and t(14;16)(q32;q23). Trisomies and a more indolent form of the disease characterize hyperdiploid myeloma. A number of genetic progression factors have been identified including deletions of chromosomes 13 and 17 and abnormalities of chromosome 1 (1p deletion and 1q amplification). Other key drivers of cell survival and proliferation have also been identified such as nuclear factor- B-activating mutations and other deregulation factors for the cyclin-dependent pathways regulators. Further understanding of the biological subtypes of the disease has come from the application of novel techniques such as gene expression profiling and array-based comparative genomic hybridization. The combination of data arising from these studies and that previously elucidated through other mechanisms allows for most myeloma cases to be classified under one of several genetic subtypes. This paper proposes a framework for the classification of myeloma subtypes and provides recommendations for genetic testing. This group proposes that genetic testing needs to be incorporated into daily clinical practice and also as an essential component of all ongoing and future clinical trials.

摘要

骨髓瘤是单克隆浆细胞的恶性增殖。虽然形态上相似,但在遗传和分子水平上已经确定了几种疾病亚型。这些遗传亚型与独特的临床病理特征和不同的预后相关。在最高层次结构上,骨髓瘤可分为超二倍体和非超二倍体亚型。后者主要由携带 IgH 易位的病例组成,通常与更具侵袭性的临床特征和更短的生存时间相关。骨髓瘤中的三个主要 IgH 易位是 t(11;14)(q13;q32)、t(4;14)(p16;q32)和 t(14;16)(q32;q23)。三倍体和更惰性的疾病形式是超二倍体骨髓瘤的特征。已经确定了许多遗传进展因素,包括染色体 13 和 17 的缺失以及染色体 1 的异常(1p 缺失和 1q 扩增)。还确定了其他促进细胞存活和增殖的关键驱动因素,如核因子-B 激活突变和细胞周期依赖性途径调节剂的其他失调因素。疾病的生物学亚型的进一步理解来自于新技术的应用,如基因表达谱分析和基于阵列的比较基因组杂交。从这些研究中产生的数据与通过其他机制以前阐明的数据的组合允许将大多数骨髓瘤病例分类为几种遗传亚型之一。本文提出了骨髓瘤亚型分类的框架,并提出了遗传检测的建议。该小组建议将遗传检测纳入日常临床实践,并作为所有正在进行和未来临床试验的基本组成部分。

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MicroRNAs regulate critical genes associated with multiple myeloma pathogenesis.微小RNA调控与多发性骨髓瘤发病机制相关的关键基因。
Proc Natl Acad Sci U S A. 2008 Sep 2;105(35):12885-90. doi: 10.1073/pnas.0806202105. Epub 2008 Aug 26.
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Clinical and biological significance of RAS mutations in multiple myeloma.多发性骨髓瘤中RAS突变的临床和生物学意义
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Blood Cancer J. 2025 Jun 18;15(1):86. doi: 10.1038/s41408-025-01286-w.
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Deep-Learning-Based Prediction of t(11;14) in Multiple Myeloma H&E-Stained Samples.基于深度学习对多发性骨髓瘤苏木精-伊红染色样本中t(11;14)的预测
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