Optical Genome Mapping Is a Powerful Diagnostic Tool in Non-Hodgkin Lymphoma

IF 6.6 1区 医学 Q1 PATHOLOGY
Modern Pathology Pub Date : 2026-02-01 Epub Date: 2025-12-13 DOI:10.1016/j.modpat.2025.100951
Amber Verhasselt , Geneviève Ameye , Justine Vanhevel , Thomas Tousseyn , Johanna Vets , Esther Hauben , Peter Meeus , Marlies Vanden Bempt , Koen Debackere , Robert A. Forsyth , Luuk Harbers , Jonas Demeulemeester , Lucienne Michaux , Katrina Rack , Barbara Dewaele , Jolien De Bie
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引用次数: 0

Abstract

Non-Hodgkin lymphoma (NHL) is a diverse and heterogeneous group of hematological malignancies. These lymphomas arise from the clonal proliferation of either B/T or natural killer lymphocytes, and their correct classification relies partly on identifying characteristic structural variants and copy number alterations. Current standard-of-care technologies for detecting these genomic features, chromosome banding analysis (CBA) and fluorescent in situ hybridization (FISH), are labor intensive and have specific limitations. CBA has low resolution and relies on viable cell culture, whereas the targeted approach of FISH does not provide the whole genome view required for comprehensive disease characterization. This highlights the need for higher–resolution nontargeted genomic methods. Previous studies have evaluated optical genome mapping (OGM) as a whole genome alternative for cytogenomic characterization in NHL diagnostics but were restricted in number and to cases with peripheral blood and/or bone marrow invasion. Here, we selected a comprehensive cohort of 110 NHL cases (79 B-NHL and 31 T-NHL/natural killer-NHL) derived from different types of tissue biopsies, all with established histopathological diagnoses. Seventy-eight samples were genomically well characterized at diagnosis by CBA and FISH. The remaining 32 cases were included because of previous CBA failure, although FISH data were available for 20 cases. OGM provided informative results in 94% of the cohort, with a high concordance rate of 97.6% compared with CBA/FISH in detecting clinically relevant aberrations. The 2 variants that were missed were both present at the detection threshold of OGM. In contrast, OGM successfully resolved 26 samples with previous CBA failure and detected 3 additional disease-defining events, resulting in diagnostic reclassification of 1 patient. Finally, OGM identified novel recurrent aberrations that warrant further investigation into their pathogenetic implications. To conclude, OGM robustly detects clinically relevant structural variants and copy number alterations and presents a promising alternative to CBA and FISH in routine diagnostic evaluation of NHL.
光学基因组定位是一种强大的非霍奇金淋巴瘤诊断工具。
非霍奇金淋巴瘤(NHL)是一种多样化和异质性的血液系统恶性肿瘤。这些淋巴瘤由B-/T-或自然杀伤淋巴细胞的克隆增殖引起,其正确分类部分依赖于识别特征结构变异(SV)和拷贝数改变(CNA)。目前用于检测这些基因组特征的标准技术,染色体带分析(CBA)和荧光原位杂交(FISH),是劳动密集型的,并且有特定的局限性。CBA分辨率低,依赖于活细胞培养,而FISH的靶向方法不能提供全面疾病表征所需的全基因组视图。这凸显了对高分辨率非靶向基因组方法的需求。以前的研究已经评估了光学基因组图谱(OGM)作为NHL诊断中细胞基因组表征的全基因组替代方法,但数量有限,并且仅限于外周血和/或骨髓侵袭的病例。在这里,我们选择了110例NHL病例(79例B-NHL和31例T/NK-NHL)的综合队列,这些病例来自不同类型的组织活检,均有确定的组织病理学诊断。78份样本在CBA和FISH诊断时基因组特征良好。其余32例由于先前的CBA失败而被纳入,尽管FISH数据可用于20例。在94%的队列中,OGM提供了信息丰富的结果,在检测临床相关畸变方面,与CBA/FISH相比,OGM的一致性率高达97.6%。这两个被遗漏的变异,都存在于OGM的检测阈值。相比之下,OGM成功地解决了26例既往CBA失败的样本,并检测到3个额外的疾病定义事件,导致1例患者的诊断重新分类。最后,OGM发现了新的复发性畸变,值得进一步研究其病理意义。综上所述,OGM能有效地检测出临床相关的SV和CNA,在NHL的常规诊断评估中有望取代CBA和FISH。
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来源期刊
Modern Pathology
Modern Pathology 医学-病理学
CiteScore
14.30
自引率
2.70%
发文量
174
审稿时长
18 days
期刊介绍: Modern Pathology, an international journal under the ownership of The United States & Canadian Academy of Pathology (USCAP), serves as an authoritative platform for publishing top-tier clinical and translational research studies in pathology. Original manuscripts are the primary focus of Modern Pathology, complemented by impactful editorials, reviews, and practice guidelines covering all facets of precision diagnostics in human pathology. The journal's scope includes advancements in molecular diagnostics and genomic classifications of diseases, breakthroughs in immune-oncology, computational science, applied bioinformatics, and digital pathology.
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