Validation of the United Kingdom copy-number alteration classifier in 3239 children with B-cell precursor ALL
Jazyk angličtina Země Spojené státy americké Médium print
Typ dokumentu časopisecké články, práce podpořená grantem
Grantová podpora
10060
Blood Cancer UK - United Kingdom
12026
Blood Cancer UK - United Kingdom
15014
Blood Cancer UK - United Kingdom
PubMed
30651283
PubMed Central
PMC6341196
DOI
10.1182/bloodadvances.2018025718
PII: bloodadvances.2018025718
Knihovny.cz E-zdroje
- MeSH
- cytogenetické vyšetření MeSH
- dítě MeSH
- genetická predispozice k nemoci MeSH
- genetické asociační studie MeSH
- hodnocení výsledků pacienta MeSH
- kojenec MeSH
- lidé MeSH
- mladiství MeSH
- mladý dospělý MeSH
- nádorové biomarkery * MeSH
- následné studie MeSH
- pre-B-buněčná leukemie diagnóza epidemiologie genetika MeSH
- předškolní dítě MeSH
- prognóza MeSH
- proporcionální rizikové modely MeSH
- surveillance populace MeSH
- variabilita počtu kopií segmentů DNA * MeSH
- Check Tag
- dítě MeSH
- kojenec MeSH
- lidé MeSH
- mladiství MeSH
- mladý dospělý MeSH
- mužské pohlaví MeSH
- předškolní dítě MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Geografické názvy
- Spojené království epidemiologie MeSH
- Názvy látek
- nádorové biomarkery * MeSH
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.
1st Department of Medicine Semmelweis University Budapest Hungary
2nd Department of Paediatrics Semmelweis University Budapest Hungary
Cancer Center for Children Sydney Childrens Hospital Network Westmead NSW Australia
Cancer Cytogenetic Laboratory Schneider Children's Medical Center of Israel Petah Tikva Israel
Childhood Leukaemia Investigation Prague Czech Republic
Children's Cancer Research Institute St Anna Kinderkrebsforschung Vienna Austria
Clinical Research Center National Hospital Organization Nagoya Medical Center Nagoya Japan
Department of Haematology Great Ormond Street Hospital London United Kingdom
Department of Pathology Medical University of Lodz Lodz Poland
Department of Pediatrics Kyoto Prefectural University of Medicine Kyoto Japan
Department of Pediatrics Oncology and Hematology Medical University of Lodz Lodz Poland
Department of Women's and Children's Health Karolinska Institutet Stockholm Sweden
Division of Clinical Research Research Centre Instituto Nacional de Câncer Rio de Janeiro Brazil
Dutch Childhood Oncology Group Utrecht The Netherlands
Hematology Oncology Department Hospital de Pediatría Prof Dr J P Garrahan Buenos Aires Argentina
Princess Máxima Center for Pediatric Oncology Utrecht The Netherlands
Regional Children's Hospital 1 Ekaterinburg Russia
Research Institute of Medical Cell Technologies Ekaterinburg Russia
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