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弥漫大 B 细胞淋巴瘤基因表达谱分析的生物学与临床意义:作为多层分析策略一部分的靶向 BLYM-777 联盟 Panel 提议

英文原题:Biological and Clinical Implications of Gene-Expression Profiling in Diffuse Large B-Cell Lymphoma: A Proposal for a Targeted BLYM-777 Consortium Panel as Part of a Multilayered Analytical Approach.

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Biological and Clinical Implications of Gene-Expression Profiling in Diffuse Large B-Cell Lymphoma: A Proposal for a Targeted BLYM-777 Consortium Panel as Part of a Multilayered Analytical Approach.

PubMed 2022/04/07(内容时间) Cancers (Basel) Q2 · IF 4.8(JCR 2025)

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中文摘要

基因表达谱(GEP)用于研究淋巴瘤的分子生物学。本文讨论了GEP研究在弥漫性大B细胞淋巴瘤(DLBCL)淋巴瘤发生中不断深入的见解。GEP研究阐明了基于细胞起源原理的亚型,并深刻改变了DLBCL的生物学理解及其临床相关性。整合GEP和下一代DNA测序的研究定义了起源于特定解剖位置的DLBCL实体的不同分子亚型。随着高通量技术的出现,肿瘤微环境(TME)已被认为是DLBCL发病机制中的关键组成部分。TME研究表征了所谓的“淋巴瘤微环境”和“生态型”。尽管获得了这些见解,DLBCL中无法解释的化疗难治性仍然存在。为了进一步阐明DLBCL的复杂生物学,我们提出了一种新的靶向GEP联盟面板,称为BLYM-777。这个基于知识的生物学驱动面板包括777个基因的探针,涵盖B细胞淋巴瘤发生的许多方面(例如,MYC特征、TME、免疫监视和CAR-T 细胞治疗耐药性)。关于淋巴瘤发生,未来的DLBCL研究需要将基因组学和转录组学方法与蛋白质组学方法相结合,并将这些多组学数据与定义明确且同质队列的患者特征相关联。这种多层次方法有可能增强DLBCL亚型的诊断分类、预后判断以及新型靶向治疗策略的开发。

展开英文摘要原文

Gene-expression profiling (GEP) is used to study the molecular biology of lymphomas.

Here, advancing insights from GEP studies in diffuse large B-cell lymphoma (DLBCL) lymphomagenesis are discussed. GEP studies elucidated subtypes based on cell-of-origin principles and profoundly changed the biological understanding of DLBCL with clinical relevance. Studies integrating GEP and next-generation DNA sequencing defined different molecular subtypes of DLBCL entities originating at specific anatomical localizations. With the emergence of high-throughput technologies, the tumor microenvironment (TME) has been recognized as a critical component in DLBCL pathogenesis. TME studies have characterized so-called "lymphoma microenvironments" and "ecotypes". Despite gained insights, unexplained chemo-refractoriness in DLBCL remains.

To further elucidate the complex biology of DLBCL, we propose a novel targeted GEP consortium panel, called BLYM-777. This knowledge-based biology-driven panel includes probes for 777 genes, covering many aspects regarding B-cell lymphomagenesis (f. e. , MYC signature, TME, immune surveillance and resistance to CAR T-cell therapy).

Regarding lymphomagenesis, upcoming DLBCL studies need to incorporate genomic and transcriptomic approaches with proteomic methods and correlate these multi-omics data with patient characteristics of well-defined and homogeneous cohorts. This multilayered methodology potentially enhances diagnostic classification of DLBCL subtypes, prognostication, and the development of novel targeted therapeutic strategies.

论文信息

作者
de Groot FA、de Groen RAL、van den Berg A、Jansen PM、Lam KH、Mutsaers PGNJ、van Noesel CJM、Chamuleau MED
单位
Department of Hematology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.Netherlands
文献类型
综述
期刊
Cancers2022 Apr 7
原文标识
PubMed 35454765 · DOI 10.3390/cancers14081857