Advanced NGS analysis of cell-free tumor DNA supports clonal relation to primary high-grade B-cell lymphoma lesion and CNS relapse despite MRI negativity.

IF 2.4 3区 医学 Q2 PATHOLOGY
Veronika Navrkalova, Andrea Mareckova, Jakub Porc, Samuel Hricko, Viera Hrabcakova, Jarmila Kissova, Sona Kundova, Marie Jarosova, Sarka Pospisilova, Jana Kotaskova, Andrea Janikova
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引用次数: 0

Abstract

High-grade B-cell lymphomas (HGBCLs) are aggressive blood cancers with a severe disease course, especially when the central nervous system (CNS) is involved. Standard histological examination depends on tissue availability and is currently supplemented with molecular tests, as the status of MYC, BCL2, or BCL6 gene rearrangements is required for proper lymphoma classification. This case report demonstrates the relevance of cerebrospinal fluid (CSF) cell-free DNA testing by integrative next-generation sequencing (NGS) panel. The benefit of this approach resided in tumor genotyping alongside the proof of CNS progression despite MRI negativity, revealing a clonal relationship with the primary tumor lesion. In addition, our strategy allowed us to classify the tumor as DLBCL/HGBL-MYC/BCL2 entity. In clinical practice, such a minimally invasive approach provides a more sensitive tool than standard imaging and cell analyzing techniques, enabling more accurate disease monitoring and relapse prediction in particular cases.

高级别B细胞淋巴瘤(HGBCL)是一种侵袭性血癌,病程严重,尤其是累及中枢神经系统(CNS)时。标准组织学检查取决于组织的可用性,目前还辅以分子检测,因为正确的淋巴瘤分类需要MYC、BCL2或BCL6基因重排的状态。本病例报告展示了通过整合性新一代测序(NGS)面板进行脑脊液(CSF)无细胞 DNA 检测的重要性。这种方法的优势在于,尽管核磁共振成像呈阴性,但肿瘤基因分型和中枢神经系统进展的证据揭示了与原发肿瘤病灶的克隆关系。此外,我们的策略还能将肿瘤归类为 DLBCL/HGBL-MYC/BCL2 实体。在临床实践中,这种微创方法提供了比标准成像和细胞分析技术更灵敏的工具,使我们能够对特定病例进行更准确的疾病监测和复发预测。
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来源期刊
Diagnostic Pathology
Diagnostic Pathology 医学-病理学
CiteScore
4.60
自引率
0.00%
发文量
93
审稿时长
1 months
期刊介绍: Diagnostic Pathology is an open access, peer-reviewed, online journal that considers research in surgical and clinical pathology, immunology, and biology, with a special focus on cutting-edge approaches in diagnostic pathology and tissue-based therapy. The journal covers all aspects of surgical pathology, including classic diagnostic pathology, prognosis-related diagnosis (tumor stages, prognosis markers, such as MIB-percentage, hormone receptors, etc.), and therapy-related findings. The journal also focuses on the technological aspects of pathology, including molecular biology techniques, morphometry aspects (stereology, DNA analysis, syntactic structure analysis), communication aspects (telecommunication, virtual microscopy, virtual pathology institutions, etc.), and electronic education and quality assurance (for example interactive publication, on-line references with automated updating, etc.).
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