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

Lina Hamadeh(Newcastle University), Amir Enshaei(Newcastle University), Claire Schwab(Newcastle University), Cristina N. Alonso(Garrahan Hospital), Andishe Attarbaschi(St Anna Children's Hospital), Gisela Barbany(Karolinska Institutet), Monique L. den Boer(Princess Máxima Center), Judith M. Boer(Princess Máxima Center), Marcin Braun(Medical University of Lodz), Luciano Dalla Pozza(Sydney Children’s Hospitals Network), Sarah Elitzur(Tel Aviv University), Mariana Emerenciano(Instituto Nacional de Câncer - INCA), Larisa Fechina(Institute of Medical Cell Technologies), Marı́a Sara Felice(Garrahan Hospital), Eva Froňková(Charles University), Irén Haltrich(Semmelweis University), Mats Heyman(Karolinska Institutet), Keizo Horibe(National Hospital Organization), Toshihiko Imamura(Kyoto Prefectural University of Medicine), Marta Jeison(Schneider Children's Medical Center), Gábor Kovács(Semmelweis University), Roland P. Kuiper(Princess Máxima Center), Wojciech Młynarski(Medical University of Lodz), Karin Nebral(St Anna Children's Hospital), Ingegerd Öfverholm(Karolinska Institutet), Agata Pastorczak(Medical University of Lodz), Rob Pieters(Stichting Kinderoncologie Nederland), Henriett Pikó(Semmelweis University), Maria S. Pombo‐de‐Oliveira(Instituto Nacional de Câncer - INCA), Patricia Rubio(Garrahan Hospital), Sabine Strehl(St Anna Children's Hospital), Jan Starý(Charles University), Rosemary Sutton(Cancer Institute of New South Wales), Jan Trka(Charles University), Grigory Tsaur(Institute of Medical Cell Technologies), Nicola C. Venn(Cancer Institute of New South Wales), Ajay Vora(Great Ormond Street Hospital), Mio Yano(Kyoto Prefectural University of Medicine), Christine J. Harrison(Newcastle University), Anthony V. Moorman(Newcastle University)
Blood Advances
January 16, 2019
Cited by 65Open Access
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Abstract

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.


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