Institute of Pathology, Department of Laboratory Medicine and Pathology, Lausanne University Hospital and Lausanne University, Lausanne, Switzerland.
Division of Oncology, Department of Medicine, Stanford University, Stanford, CA.
Blood. 2022 Nov 24;140(21):2193-2227. doi: 10.1182/blood.2022015854.
With the introduction of large-scale molecular profiling methods and high-throughput sequencing technologies, the genomic features of most lymphoid neoplasms have been characterized at an unprecedented scale. Although the principles for the classification and diagnosis of these disorders, founded on a multidimensional definition of disease entities, have been consolidated over the past 25 years, novel genomic data have markedly enhanced our understanding of lymphomagenesis and enriched the description of disease entities at the molecular level. Yet, the current diagnosis of lymphoid tumors is largely based on morphological assessment and immunophenotyping, with only few entities being defined by genomic criteria. This paper, which accompanies the International Consensus Classification of mature lymphoid neoplasms, will address how established assays and newly developed technologies for molecular testing already complement clinical diagnoses and provide a novel lens on disease classification. More specifically, their contributions to diagnosis refinement, risk stratification, and therapy prediction will be considered for the main categories of lymphoid neoplasms. The potential of whole-genome sequencing, circulating tumor DNA analyses, single-cell analyses, and epigenetic profiling will be discussed because these will likely become important future tools for implementing precision medicine approaches in clinical decision making for patients with lymphoid malignancies.
随着大规模分子分析方法和高通量测序技术的引入,大多数淋巴肿瘤的基因组特征已经以前所未有的规模得到了描述。尽管过去 25 年来,基于疾病实体的多维定义的这些疾病的分类和诊断原则已经得到巩固,但新的基因组数据显著增强了我们对淋巴瘤发生的理解,并丰富了疾病实体在分子水平上的描述。然而,目前淋巴肿瘤的诊断在很大程度上仍基于形态评估和免疫表型,只有少数实体是通过基因组标准定义的。本文是对成熟淋巴肿瘤国际共识分类的补充,将探讨现有的分子检测方法和新开发的技术如何补充临床诊断,并为疾病分类提供新的视角。更具体地说,将考虑这些技术在主要淋巴肿瘤类别中的诊断细化、风险分层和治疗预测方面的贡献。还将讨论全基因组测序、循环肿瘤 DNA 分析、单细胞分析和表观遗传分析的潜力,因为这些技术可能成为在淋巴恶性肿瘤患者的临床决策中实施精准医疗方法的重要未来工具。