Rosenquist Richard, Rosenwald Andreas, Du Ming-Qing, Gaidano Gianluca, Groenen Patricia, Wotherspoon Andrew, Ghia Paolo, Gaulard Philippe, Campo Elias, Stamatopoulos Kostas
Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Sweden
Institute of Pathology, University of Würzburg, Germany and Comprehensive Cancer Center Mainfranken (CCC MF), Germany.
Haematologica. 2016 Sep;101(9):1002-9. doi: 10.3324/haematol.2015.134510.
Similar to the inherent clinical heterogeneity of most, if not all, lymphoma entities, the genetic landscape of these tumors is markedly complex in the majority of cases, with a rapidly growing list of recurrently mutated genes discovered in recent years by next-generation sequencing technology. Whilst a few genes have been implied to have diagnostic, prognostic and even predictive impact, most gene mutations still require rigorous validation in larger, preferably prospective patient series, to scrutinize their potential role in lymphoma diagnostics and patient management. In selected entities, a predominantly mutated gene is identified in almost all cases (e.g. Waldenström's macroglobulinemia/lymphoplasmacytic lymphoma and hairy-cell leukemia), while for the vast majority of lymphomas a quite diverse mutation pattern is observed, with a limited number of frequently mutated genes followed by a seemingly endless tail of genes with mutations at a low frequency. Herein, the European Expert Group on NGS-based Diagnostics in Lymphomas (EGNL) summarizes the current status of this ever-evolving field, and, based on the present evidence level, segregates mutations into the following categories: i) immediate impact on treatment decisions, ii) diagnostic impact, iii) prognostic impact, iv) potential clinical impact in the near future, or v) should only be considered for research purposes. In the coming years, coordinated efforts aiming to apply targeted next-generation sequencing in large patient series will be needed in order to elucidate if a particular gene mutation will have an immediate impact on the lymphoma classification, and ultimately aid clinical decision making.
与大多数(即便不是全部)淋巴瘤实体所固有的临床异质性相似,这些肿瘤的基因图谱在大多数情况下都显著复杂,近年来通过新一代测序技术发现的反复突变基因的清单在迅速增加。虽然有少数基因已被暗示具有诊断、预后甚至预测作用,但大多数基因突变仍需要在更大规模、最好是前瞻性患者队列中进行严格验证,以审视它们在淋巴瘤诊断和患者管理中的潜在作用。在特定的淋巴瘤实体中,几乎在所有病例中都能识别出一个主要突变基因(例如华氏巨球蛋白血症/淋巴浆细胞性淋巴瘤和毛细胞白血病),而对于绝大多数淋巴瘤,观察到的是相当多样的突变模式,有少数频繁突变基因,随后是一系列低频突变基因,似乎无穷无尽。在此,欧洲淋巴瘤基于新一代测序诊断专家组(EGNL)总结了这个不断发展领域的现状,并根据目前的证据水平,将突变分为以下几类:i)对治疗决策有直接影响;ii)有诊断影响;iii)有预后影响;iv)在不久的将来有潜在临床影响;或v)仅应考虑用于研究目的。在未来几年,需要开展协同努力,以便在大型患者队列中应用靶向新一代测序技术,从而阐明特定基因突变是否会对淋巴瘤分类产生直接影响,并最终有助于临床决策。