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Next-Generation Sequencing–Based Clonality Assessment of Ig Gene Rearrangements

Authors :
Hesham ElDaly
Nikos Darzentas
Frederic Davi
Michael Hummel
Ioannis Anagnostopoulos
Leonie I. Kroeze
Michiel van den Brand
Tomáš Reigl
Blanca Scheijen
Patricia J. T. A. Groenen
Jakub Paweł Porc
Jos Rijntjes
Falko Fend
Michèle Y. van der Klift
Kim C. Heezen
Julia Steinhilber
Hongxiang Liu
Anton W. Langerak
Markus Möbs
Jeroen A.C.W. Luijks
Radboud University Medical Center [Nijmegen]
Charité - UniversitätsMedizin = Charité - University Hospital [Berlin]
University of Tübingen
Erasmus University Medical Center [Rotterdam] (Erasmus MC)
Masaryk University [Brno] (MUNI)
University Medical Center of Schleswig–Holstein = Universitätsklinikum Schleswig-Holstein (UKSH)
Kiel University
Service d'Hématologie clinique [CHU Pitié-Salpêtrière]
CHU Pitié-Salpêtrière [AP-HP]
Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)
Coventry University
Cairo University
Cambridge University Hospitals - NHS (CUH)
University of Cambridge [UK] (CAM)
Source :
Journal of Molecular Diagnostics, Journal of Molecular Diagnostics, American Society for Investigative Pathology (ASIP), 2021, 23 (9), pp.1105-1115. ⟨10.1016/j.jmoldx.2021.06.005⟩
Publication Year :
2021
Publisher :
Elsevier BV, 2021.

Abstract

Ig gene (IG) clonality analysis has an important role in the distinction of benign and malignant B-cell lymphoid proliferations and is mostly performed with the conventional EuroClonality/BIOMED-2 multiplex PCR protocol and GeneScan fragment size analysis. Recently, the EuroClonality-NGS Working Group developed a method for next-generation sequencing (NGS)–based IG clonality analysis. Herein, we report the results of an international multicenter biological validation of this novel method compared with the gold standard EuroClonality/BIOMED-2 protocol, based on 209 specimens of reactive and neoplastic lymphoproliferations. NGS-based IG clonality analysis showed a high interlaboratory concordance (99%) and high concordance with conventional clonality analysis (98%) for the molecular conclusion. Detailed analysis of the individual IG heavy chain and kappa light chain targets showed that NGS-based clonality analysis was more often able to detect a clonal rearrangement or yield an interpretable result. NGS-based and conventional clonality analysis detected a clone in 96% and 95% of B-cell neoplasms, respectively, and all but one of the reactive cases were scored polyclonal. We conclude that NGS-based IG clonality analysis performs comparable to conventional clonality analysis. We provide critical parameters for interpretation and discuss a first step toward a quantitative scoring approach for NGS clonality results. Considering the advantages of NGS-based clonality analysis, including its high sensitivity and possibilities for accurate clonal comparison, this supports implementation in diagnostic practice.

Details

ISSN :
15251578
Volume :
23
Database :
OpenAIRE
Journal :
The Journal of Molecular Diagnostics
Accession number :
edsair.doi.dedup.....4545b37be0e4cf8ccdaf0b83b9215081