Next-generation sequencing of immunoglobulin gene rearrangements for clonality assessment: a technical feasibility study by EuroClonality-NGS.
Blanca ScheijenRuud W J MeijersJos RijntjesMichèle Y van der KliftMarkus MöbsJulia SteinhilberTomas ReiglMichiel van den BrandMichaela KotrováJulia-Marie RitterMark A CatherwoodKostas StamatopoulosMonika BrüggemannFrédéric DaviNikos DarzentasChristiane PottFalko FendMichael HummelAnton W LangerakPatricia J T A Groenennull nullPublished in: Leukemia (2019)
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.
Keyphrases
- copy number
- genome wide
- circulating tumor
- genome wide identification
- clinical practice
- clinical trial
- healthcare
- high throughput
- single cell
- high throughput sequencing
- high resolution
- cell free
- stem cells
- study protocol
- cell cycle
- epstein barr virus
- dna methylation
- big data
- circulating tumor cells
- genome wide association study