Suppr超能文献

解读克隆型:基于下一代测序的淋巴细胞克隆性分析及其在病理学中的应用前景

Read the clonotype: Next-generation sequencing-based lymphocyte clonality analysis and perspectives for application in pathology.

作者信息

Groenen Patricia J T A, van den Brand Michiel, Kroeze Leonie I, Amir Avital L, Hebeda Konnie M

机构信息

Department of Pathology, Radboud University Medical Center, Nijmegen, Netherlands.

Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, Netherlands.

出版信息

Front Oncol. 2023 Feb 8;13:1107171. doi: 10.3389/fonc.2023.1107171. eCollection 2023.

Abstract

Clonality assessment using the unique rearrangements of immunoglobulin (IG) and T-cell receptor (TR) genes in lymphocytes is a widely applied supplementary test for the diagnosis of B-cell and T-cell lymphoma. To enable a more sensitive detection and a more precise comparison of clones compared with conventional clonality analysis based on fragment analysis, the EuroClonality NGS Working Group developed and validated a next-generation sequencing (NGS)-based clonality assay for detection of the IG heavy and kappa light chain and TR gene rearrangements for formalin-fixed and paraffin-embedded tissues. We outline the features and advantages of NGS-based clonality detection and discuss potential applications for NGS-based clonality testing in pathology, including site specific lymphoproliferations, immunodeficiency and autoimmune disease and primary and relapsed lymphomas. Also, we briefly discuss the role of T-cell repertoire of reactive lymphocytic infiltrations in solid tumors and B-lymphoma.

摘要

利用淋巴细胞中免疫球蛋白(IG)和T细胞受体(TR)基因的独特重排进行克隆性评估,是诊断B细胞和T细胞淋巴瘤广泛应用的补充检测方法。为了与基于片段分析的传统克隆性分析相比,能够更灵敏地检测克隆并更精确地比较克隆,欧洲克隆性二代测序工作组开发并验证了一种基于二代测序(NGS)的克隆性检测方法,用于检测福尔马林固定石蜡包埋组织中的IG重链和κ轻链以及TR基因重排。我们概述了基于NGS的克隆性检测的特点和优势,并讨论了基于NGS的克隆性检测在病理学中的潜在应用,包括特定部位的淋巴细胞增殖、免疫缺陷和自身免疫性疾病以及原发性和复发性淋巴瘤。此外,我们简要讨论了实体瘤和B淋巴瘤中反应性淋巴细胞浸润的T细胞库的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd4f/9945094/9b8983da61e7/fonc-13-1107171-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验