| Literature DB >> 29407183 |
Louise de Swart1, Alex Smith2, Detlef Haase3, Pierre Fenaux4, Argiris Symeonidis5, Jaroslav Cermak6, Guillermo Sanz7, Reinhard Stauder8, Moshe Mittelman9, Eva Hellström-Lindberg10, Luca Malcovati11, Saskia Langemeijer1, Mette Skov-Holm12, Krzysztof Mądry13, Ulrich Germing14, Antonio Medina Almeida15, Aurelia Tatic16, Aleksandar Savic17, Njetočka Gredelj Šimec18, Corine van Marrewijk1, Agnes Guerci-Bresler19, Laurence Sanhes20, Elisa Luño21, Dominic Culligan22, Odile Beyne-Rauzy23, Sonja Burgstaller24, Nicole Blijlevens1, David Bowen25, Theo de Witte26.
Abstract
Conventional karyotype is one of the most relevant prognostic factors in MDS. However, about 50% of patients with MDS have a normal karyotype. Usually, 20-25 normal metaphases (nMP) are considered to be optimal to exclude small abnormal clones which might be associated with poor prognosis. This study evaluated the impact of examining a suboptimal number of metaphases in patients recruited to the EUMDS Registry with low and intermediate-1 risk according to IPSS. Only 179/1049 (17%) of patients with a normal karyotype had a suboptimal number of nMP, defined as less than 20 metaphases analyzed. The outcome (overall survival and progression-free survival) of patients with suboptimal nMP was not inferior to those with higher numbers of analyzed MP both in univariate and multivariate analyses. For patients with an abnormal karyotype, 224/649 (35%) had a suboptimal number of MP assessed, but this did not impact on outcome. For patients with a normal karyotype and suboptimal numbers of analyzable metaphases standard evaluation might be acceptable for general practice, but we recommend additional FISH-analyses or molecular techniques, especially in candidates for intensive interventions.Entities:
Keywords: Cytogenetics; Karyotype; Lower-risk; Metaphases; Myelodysplastic syndromes; Overall survival; Progression-free survival
Mesh:
Year: 2018 PMID: 29407183 DOI: 10.1016/j.leukres.2018.01.022
Source DB: PubMed Journal: Leuk Res ISSN: 0145-2126 Impact factor: 3.156