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Validation of the United Kingdom copy-number alteration classifier in 3239 children with B-cell precursor ALL

Authors :
Marcin Braun
Grigory Tsaur
Larisa Fechina
Rob Pieters
Ingegerd Ivanov Öfverholm
Lina Hamadeh
Karin Nebral
Gisela Barbany
Jan Stary
Maria S. Felice
Mariana Emerenciano
Mio Yano
Marta Jeison
Sarah Elitzur
Monique L. den Boer
Henriett Pikó
Luciano Dalla Pozza
Gabor G. Kovacs
Maria S. Pombo-de-Oliveira
Wojciech Młynarski
Roland P. Kuiper
Keizo Horibe
Rosemary Sutton
Sabine Strehl
Amir Enshaei
Nicola C. Venn
Agata Pastorczak
Eva Fronkova
Judith M. Boer
Patricia L. Rubio
Anthony V. Moorman
Irén Haltrich
Andishe Attarbaschi
Cristina N. Alonso
Ajay Vora
Mats Heyman
Jan Trka
Claire Schwab
Christine J. Harrison
Toshihiko Imamura
Source :
Blood Advances, 3, 2, pp. 148-157, Blood Advances, 3, 148-157
Publication Year :
2019

Abstract

Contains fulltext : 204641.pdf (Publisher’s version ) (Open Access) 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.

Details

ISSN :
24739529
Database :
OpenAIRE
Journal :
Blood Advances, 3, 2, pp. 148-157, Blood Advances, 3, 148-157
Accession number :
edsair.doi.dedup.....9cf3dd283d1b3cc4b5b525fddbefd790