de Groot Fleur A, de Groen Ruben A L, van den Berg Anke, Jansen Patty M, Lam King H, Mutsaers Pim G N J, van Noesel Carel J M, Chamuleau Martine E D, Stevens Wendy B C, Plaça Jessica R, Mous Rogier, Kersten Marie José, van der Poel Marjolein M W, Tousseyn Thomas, Woei-A-Jin F J Sherida H, Diepstra Arjan, Nijland Marcel, Vermaat Joost S P
Department of Hematology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.
Department of Pathology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands.
Cancers (Basel). 2022 Apr 7;14(8):1857. doi: 10.3390/cancers14081857.
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.
基因表达谱分析(GEP)用于研究淋巴瘤的分子生物学。在此,将讨论GEP研究在弥漫性大B细胞淋巴瘤(DLBCL)淋巴瘤发生方面取得的进展。GEP研究基于细胞起源原则阐明了亚型,并深刻改变了对DLBCL的生物学理解及其临床相关性。整合GEP和下一代DNA测序的研究确定了起源于特定解剖部位的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研究已经对所谓的“淋巴瘤微环境”和“生态型”进行了特征描述。尽管有了这些见解,但DLBCL中无法解释的化疗难治性仍然存在。为了进一步阐明DLBCL的复杂生物学特性,我们提出了一种新的靶向GEP联合检测板,称为BLYM-777。这个基于知识的生物学驱动检测板包括针对777个基因的探针,涵盖了B细胞淋巴瘤发生的许多方面(例如,MYC信号、TME、免疫监视和对CAR T细胞疗法的抗性)。关于淋巴瘤发生,未来的DLBCL研究需要将基因组和转录组方法与蛋白质组学方法相结合,并将这些多组学数据与明确且同质队列的患者特征相关联。这种多层方法有可能增强DLBCL亚型的诊断分类、预后评估以及新型靶向治疗策略的开发。