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Next-generation sequencing of immunoglobulin gene rearrangements for clonality assessment: a technical feasibility study by EuroClonality-NGS

Authors :
Scheijen, Blanca
Meijers, Ruud
Rijntjes, Jos
Klift, Michèle
Möbs, Markus
Steinhilber, Julia
Reigl, Tomas
Brand, Michiel
Kotrová, Michaela
Ritter, Julia-Marie
Catherwood, Mark
Stamatopoulos, Kostas
Brüggemann, Monika
Davi, Frédéric
Darzentas, Nikos
Pott, Christiane
Fend, Falko
Hummel, Michael
Langerak, Anton
Groenen, Patricia
Source :
Leukemia; September 2019, Vol. 33 Issue: 9 p2227-2240, 14p
Publication Year :
2019

Abstract

One of the hallmarks of B lymphoid malignancies is a B cell clone characterized by a unique footprint of clonal immunoglobulin (IG) gene rearrangements that serves as a diagnostic marker for clonality assessment. The EuroClonality/BIOMED-2 assay is currently the gold standard for analyzing IG heavy chain (IGH)and κ light chain (IGK) gene rearrangements of suspected B cell lymphomas. Here, the EuroClonality-NGS Working Group presents a multicentre technical feasibility study of a novel approach involving next-generation sequencing (NGS) of IGH and IGK loci rearrangements that is highly suitable for detecting IG gene rearrangements in frozen and formalin-fixed paraffin-embedded tissue specimens. By employing gene-specific primers for IGH and IGK amplifying smaller amplicon sizes in combination with deep sequencing technology, this NGS-based IG clonality analysis showed robust performance, even in DNA samples of suboptimal DNA integrity, and a high clinical sensitivity for the detection of clonal rearrangements. Bioinformatics analyses of the high-throughput sequencing data with ARResT/Interrogate, a platform developed within the EuroClonality-NGS Working Group, allowed accurate identification of clonotypes in both polyclonal cell populations and monoclonal lymphoproliferative disorders. This multicentre feasibility study is an important step towards implementation of NGS-based clonality assessment in clinical practice, which will eventually improve lymphoma diagnostics.

Details

Language :
English
ISSN :
08876924 and 14765551
Volume :
33
Issue :
9
Database :
Supplemental Index
Journal :
Leukemia
Publication Type :
Periodical
Accession number :
ejs50334496
Full Text :
https://doi.org/10.1038/s41375-019-0508-7