Please use this identifier to cite or link to this item: https://ninho.inca.gov.br/jspui/handle/123456789/6669
Title: Validation of the United Kingdom copy-number alteration classifier in 3239 children with B-cell precursor ALL
Authors: Hamadeh, Lina
Enshaei, Amir
Schwab, Claire
Alonso, Cristina N.
Attarbaschi, Andishe
Barbany, Gisela
Boer, Monique L. den
Boer, Judith M.
Braun, Marcin
Pozza, Luciano Dalla
Elitzur, Sarah
Emerenciano, Mariana
Fechina, Larisa
Felice, Maria Sara
Fronkova, Eva
Haltrich, Iren
Heyman, Mats M.
Horibe, Keizo
Imamura, Toshihiko
Jeison, Marta
Kovács, Gábor
Kuiper, Roland P.
Mlynarski, Wojciech
Nebral, Karin
Ofverholm, Ingegerd Ivanov
Pastorczak, Agata
Pieters, Rob
Piko, Henriett
Pombo-de-Oliveira, Maria do Socorro
Rubio, Patricia
Strehl, Sabine
Stary, Jan
Sutton, Rosemary
Trka, Jan
Tsaur, Grigory
Venn, Nicola C.
Vora, Ajay
Yano, Mio
Harrison, Christine Johanna
Moorman, Anthony V.
Keywords: Precursor B-Cell Lymphoblastic Leukemia-Lymphoma/diagnosis
Leucemia-Linfoma Linfoblástico de Células Precursoras B/diagnóstico
Genetic Predisposition to Disease
Predisposición Genética a la Enfermedad
United Kingdom/epidemiology
Reino Unido/epidemiologia
Reino Unido/epidemiología
Child, Preschool
Pré-Escolar
Preescolar
Issue Date: 2019
Publisher: Blood Advances
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.
URI: http://sr-vmlxaph03:8080/jspui/handle/123456789/6669
ISSN: 2473-9537
Appears in Collections:Artigo de Periódicos da Pesquisa Clínica



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