| Literature DB >> 30651283 |
Lina Hamadeh1, Amir Enshaei1, Claire Schwab1, Cristina N Alonso2, Andishe Attarbaschi3, Gisela Barbany4, Monique L den Boer5, Judith M Boer5, Marcin Braun6, Luciano Dalla Pozza7, Sarah Elitzur8, Mariana Emerenciano9, Larisa Fechina10,11, Maria Sara Felice2, Eva Fronkova12,13, Irén Haltrich14, Mats M Heyman15, Keizo Horibe16, Toshihiko Imamura17, Marta Jeison18, Gábor Kovács14, Roland P Kuiper5, Wojciech Mlynarski19, Karin Nebral20, Ingegerd Ivanov Öfverholm4, Agata Pastorczak19, Rob Pieters5,21, Henriett Piko22, Maria S Pombo-de-Oliveira23, Patricia Rubio2, Sabine Strehl20, Jan Stary13, Rosemary Sutton24, Jan Trka12,13, Grigory Tsaur10,11, Nicola Venn24, Ajay Vora25, Mio Yano17, Christine J Harrison1, Anthony V Moorman1.
Abstract
Genetic abnormalities provide vital diagnostic and prognostic information in pediatric acute lymphoblastic leukemia (ALL) and are increasingly used to assign patients to risk groups. We recently proposed a novel classifier based on the copy-number alteration (CNA) profile of the 8 most commonly deleted genes in B-cell precursor ALL. This classifier defined 3 CNA subgroups in consecutive UK trials and was able to discriminate patients with intermediate-risk cytogenetics. In this study, we sought to validate the United Kingdom ALL (UKALL)-CNA classifier and reevaluate the interaction with cytogenetic risk groups using individual patient data from 3239 cases collected from 12 groups within the International BFM Study Group. The classifier was validated and defined 3 risk groups with distinct event-free survival (EFS) rates: good (88%), intermediate (76%), and poor (68%) (P < .001). There was no evidence of heterogeneity, even within trials that used minimal residual disease to guide therapy. By integrating CNA and cytogenetic data, we replicated our original key observation that patients with intermediate-risk cytogenetics can be stratified into 2 prognostic subgroups. Group A had an EFS rate of 86% (similar to patients with good-risk cytogenetics), while group B patients had a significantly inferior rate (73%, P < .001). Finally, we revised the overall genetic classification by defining 4 risk groups with distinct EFS rates: very good (91%), good (81%), intermediate (73%), and poor (54%), P < .001. In conclusion, the UKALL-CNA classifier is a robust prognostic tool that can be deployed in different trial settings and used to refine established cytogenetic risk groups.Entities:
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Year: 2019 PMID: 30651283 PMCID: PMC6341196 DOI: 10.1182/bloodadvances.2018025718
Source DB: PubMed Journal: Blood Adv ISSN: 2473-9529