EuroClonality-NGS Recommendations for Evaluation of B-Cell Clonality Analysis by Next-Generation Sequencing: A Structured Approach with the DEPART Algorithm.


Journal

The Journal of molecular diagnostics : JMD
ISSN: 1943-7811
Titre abrégé: J Mol Diagn
Pays: United States
ID NLM: 100893612

Informations de publication

Date de publication:
10 2023
Historique:
received: 15 03 2023
revised: 16 05 2023
accepted: 09 06 2023
medline: 19 9 2023
pubmed: 20 7 2023
entrez: 19 7 2023
Statut: ppublish

Résumé

Next-generation sequencing (NGS)-based clonality analysis allows in-depth assessment of the clonal composition of a sample with high sensitivity for detecting small clones. Within the EuroClonality-NGS Working Group, a protocol for NGS Ig clonality analysis was developed and validated previously. This NGS-based approach was designed to generate small amplicons, making it suitable for samples with suboptimal DNA quality, especially material derived from formalin-fixed, paraffin-embedded tissue. Using expert assessment of NGS Ig clonality results as a reference, a structured algorithmic approach to the assessment of NGS-amplicon-based B-cell clonality analysis was developed. A structured approach with the Detection of clonality through Evaluation of sample quality and assessment of Pattern, Abundance and RaTio (DEPART) algorithm was proposed, which consecutively evaluates sample quality, the pattern of the clonotypes present, the abundance of the most dominant clonotypes, and the ratio between the dominant clonotypes and the background to evaluate the different Ig gene targets. Specific issues with respect to evaluation of the various Ig targets as well as the integration of results of individual targets into a molecular clonality conclusion are discussed and illustrated with case examples. Finally, the importance of interpretation of NGS-based clonality results in clinical and histopathologic contexts is discussed. It is expected that these recommendations will have clinical utility to facilitate proper evaluation of clonality assessment.

Identifiants

pubmed: 37467928
pii: S1525-1578(23)00153-8
doi: 10.1016/j.jmoldx.2023.06.011
pii:
doi:

Substances chimiques

DNA 9007-49-2

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

729-739

Informations de copyright

Copyright © 2023 Association for Molecular Pathology and American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved.

Auteurs

Michiel van den Brand (M)

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

Markus Möbs (M)

Institute of Pathology, Charité-Universitätsmedizin, Berlin, Germany.

Franziska Otto (F)

Institute of Pathology and Neuropathology, University Hospital Tübingen, Tübingen, Germany.

Leonie I Kroeze (LI)

Department of Pathology, Radboud University Medical Center, Nijmegen, the Netherlands; Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands.

David Gonzalez de Castro (D)

Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, United Kingdom.

Kostas Stamatopoulos (K)

Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece.

Frederic Davi (F)

Hematology Department, Hospital Pitié-Salpêtrière, Sorbonne University, Paris, France.

Clotilde Bravetti (C)

Hematology Department, Hospital Pitié-Salpêtrière, Sorbonne University, Paris, France.

P Martijn Kolijn (PM)

Laboratory of Medical Immunology, Department of Immunology, Erasmus MC University Medical Center, Rotterdam, the Netherlands.

Elisavet Vlachonikola (E)

Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece.

J Peter Stewart (JP)

Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, United Kingdom.

Christiane Pott (C)

Department of Hematology, University Hospital Schleswig-Holstein, Kiel, Germany.

Michael Hummel (M)

Institute of Pathology, Charité-Universitätsmedizin, Berlin, Germany.

Nikos Darzentas (N)

Department of Hematology, University Hospital Schleswig-Holstein, Kiel, Germany.

Anton W Langerak (AW)

Laboratory of Medical Immunology, Department of Immunology, Erasmus MC University Medical Center, Rotterdam, the Netherlands.

Falko Fend (F)

Institute of Pathology and Neuropathology, University Hospital Tübingen, Tübingen, Germany.

Patricia J T A Groenen (PJTA)

Department of Pathology, Radboud University Medical Center, Nijmegen, the Netherlands; Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands. Electronic address: patricia.groenen@radboudumc.nl.

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Classifications MeSH