Journal article
Genomic arrays identify high-risk chronic lymphocytic leukemia with genomic complexity: A multi-center study
AC Leeksma, P Baliakas, T Moysiadis, A Puiggros, K Plevova, AM van der Kevie-Kersemaekers, H Posthuma, AE Rodriguez-Vicente, AN Tran, G Barbany, L Mansouri, R Gunnarsson, H Parker, E van den Berg, M Bellido, Z Davis, M Wall, I Scarpelli, A Österborg, L Hansson Show all
Haematologica | FERRATA STORTI FOUNDATION | Published : 2020
Open access
Abstract
Complex karyotype (CK) identified by chromosome-banding analysis (CBA) has shown prognostic value in chronic lymphocytic leukemia (CLL). Genomic arrays offer high-resolution genome-wide detection of copy-number alterations (CNAs) and could therefore be well equipped to detect the presence of a CK. Current knowledge on genomic arrays in CLL is based on outcomes of single center studies, in which different cutoffs for CNA calling were used. To further determine the clinical utility of genomic arrays for CNA assessment in CLL diagnostics, we retrospectively analyzed 2293 arrays from 13 diagnostic laboratories according to established standards. CNAs were found outside regions captured by CLL FI..
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Awarded by Janssen Pharmaceuticals
Funding Acknowledgements
The authors gratefully acknowledge all patients who contributed to this study. This study was partly funded by an unrestricted contribution from Janssen Pharmaceuticals and from GILEAD Sciences SA. The funding sources had no role in identifying statements, abstracting data, synthesizing results, grading evidence or preparing the manuscript, or in the decision to submit the manuscript for publication. ACL is supported by the Peters van der Laan foundation. JCS was funded by Bloodwise (11052, 12036), the Kay Kendall Leukaemia Fund (873), Cancer Research UK (C34999/A18087, ECMC C24563/A15581), Wessex Medical Research and the Bournemouth Leukaemia Fund. KP, MJ, and SP are supported by the project MHCR DRO n. 65269705, the research infrastructures NCMG LM2015091, and EATRIS-CZ LM2015064, and the project CEITEC2020 LQ1601, funded by MEYS CR. RR is supported by the Swedish Cancer Society, the Swedish Research Council, the Knut and Alice Wallenberg Foundation, Karolinska Institutet, Karolinska University Hospital, and Radiumhemmets Forskningsfonder, Stockholm.