Ramos Campoy, SilviaPuiggros Metje, Anna MariaGimeno Vázquez, EvaEspinet Solà, Blanca2021-06-172021-06-172022Ramos-Campoy S, Puiggros A, Beà S, Bougeon S, Larráyoz MJ, Costa D et al. Chromosome banding analysis and genomic microarrays are both useful but not equivalent methods for genomic complexity risk stratification in chronic lymphocytic leukemia patients. Haematologica. 2022;107(3):593-603. DOI: 10.3324/haematol.2020.2744560390-6078http://hdl.handle.net/10230/47912Genome complexity has been associated with poor outcome in patients with chronic lymphocytic leukemia (CLL). Previous cooperative studies established five abnormalities as the cut-off that best predicts an adverse evolution by chromosome banding analysis (CBA) and genomic microarrays (GM). However, data comparing risk stratification by both methods are scarce. Herein, we assessed a cohort of 340 untreated CLL patients highly enriched in cases with complex karyotype (CK, 46.5%) with parallel CBA and GM studies. Abnormalities found by both techniques were compared. Prognostic stratification in three risk groups based on genomic complexity [0-2, 3-4 and ≥5 abnormalities] was also analyzed. No significant differences in the percentage of patients classified into each category were detected, but only a moderate agreement was observed between methods when focusing in individual cases (κ=0.507; p.application/pdfeng© 2021 Ferrata Storti Foundation. Papers in Haematologica are published under a Creative Commons license CC BY-NC-ND. According to this license, an article may be copied, displayed, distributed, republished or otherwise reused provided the reuse is not an adaptation or a modification and the integrity of the original paper is maintained. This license does not allow for any kind of commercial use of the paper. For more details, see About Haematologica.Chromosome banding analysis and genomic microarrays are both useful but not equivalent methods for genomic complexity risk stratification in chronic lymphocytic leukemia patientsinfo:eu-repo/semantics/articlehttp://dx.doi.org/10.3324/haematol.2020.274456info:eu-repo/semantics/openAccess