Immunoglobulin gene analysis in chronic lymphocytic leukemia in the era of next generation sequencing

Twenty years after landmark publications, there is a consensus that the somatic hypermutation (SHM) status of the clonotypic immunoglobulin heavy variable (IGHV) gene is an important cornerstone for accurate risk stratification and therapeutic decision-making in patients with chronic lymphocytic leu...

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Veröffentlicht in:Leukemia 2020-10, Vol.34 (10), p.2545-2551
Hauptverfasser: Davi, Frédéric, Langerak, Anton W., de Septenville, Anne Langlois, Kolijn, P. Martijn, Hengeveld, Paul J., Chatzidimitriou, Anastasia, Bonfiglio, Silvia, Sutton, Lesley-Ann, Rosenquist, Richard, Ghia, Paolo, Stamatopoulos, Kostas
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Sprache:eng
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Zusammenfassung:Twenty years after landmark publications, there is a consensus that the somatic hypermutation (SHM) status of the clonotypic immunoglobulin heavy variable (IGHV) gene is an important cornerstone for accurate risk stratification and therapeutic decision-making in patients with chronic lymphocytic leukemia (CLL). The IGHV SHM status has traditionally been determined by conventional Sanger sequencing. However, NGS has heralded a new era in medical diagnostics and immunogenetic analysis is following this trend. There is indeed a growing demand for shifting practice and using NGS for IGHV gene SHM assessment, although it is debatable whether it is always justifiable, at least taking into account financial considerations for laboratories with limited resources. Nevertheless, as this analysis impacts on treatment decisions, standardization of both technical aspects, and data interpretation becomes essential. Also, the need for establishing new recommendations and providing dedicated education and training on NGS-based immunogenetics is greater than ever before. Here we address potential and challenges of NGS-based immunogenetics in CLL. We are convinced that this perspective helps the hematological community to better understand the pros and cons of this new technological development for CLL patient management.
ISSN:0887-6924
1476-5551
1476-5551
DOI:10.1038/s41375-020-0923-9