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

Author:

Hamadeh Lina1,Enshaei Amir1,Schwab Claire1,Alonso Cristina N.2,Attarbaschi Andishe3,Barbany Gisela4,den Boer Monique L.5,Boer Judith M.5,Braun Marcin6ORCID,Dalla Pozza Luciano7,Elitzur Sarah8,Emerenciano Mariana9ORCID,Fechina Larisa1011,Felice Maria Sara2,Fronkova Eva1213,Haltrich Irén14,Heyman Mats M.15,Horibe Keizo16,Imamura Toshihiko17,Jeison Marta18,Kovács Gábor14,Kuiper Roland P.5,Mlynarski Wojciech19,Nebral Karin20,Ivanov Öfverholm Ingegerd4,Pastorczak Agata19,Pieters Rob521,Piko Henriett22,Pombo-de-Oliveira Maria S.23ORCID,Rubio Patricia2,Strehl Sabine20ORCID,Stary Jan13,Sutton Rosemary24,Trka Jan1213,Tsaur Grigory1011,Venn Nicola24,Vora Ajay25,Yano Mio17,Harrison Christine J.1,Moorman Anthony V.1ORCID

Affiliation:

1. Wolfson Childhood Cancer Research Centre, Northern Institute for Cancer Research, Newcastle University, Newcastle, United Kingdom;

2. Hematology-Oncology Department, Hospital de Pediatría “Prof. Dr. J. P. Garrahan,” Buenos Aires, Argentina;

3. Department of Pediatric Hematology and Oncology, St. Anna Children’s Hospital, Medical University of Vienna, Vienna, Austria;

4. Department of Molecular Medicine and Surgery, Clinical Genetics Section, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden;

5. Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands;

6. Department of Pathology, Medical University of Lodz, Lodz, Poland;

7. Cancer Center for Children, Sydney Childrens Hospital Network, Westmead, NSW, Australia;

8. Pediatric Hematology Oncology, Schneider Children’s Medical Center, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel;

9. Division of Clinical Research, Research Centre, Instituto Nacional de Câncer, Rio de Janeiro, Brazil;

10. Regional Children’s Hospital 1, Ekaterinburg, Russia;

11. Research Institute of Medical Cell Technologies, Ekaterinburg, Russia;

12. Childhood Leukaemia Investigation, Prague, Czech Republic;

13. Department of Paediatric Haematology/Oncology, 2nd Faculty of Medicine, Charles University and University Hospital Motol, Prague, Czech Republic;

14. 2nd Department of Paediatrics, Semmelweis University, Budapest, Hungary;

15. Department of Women’s and Children’s Health, Karolinska Institutet, Stockholm, Sweden;

16. Clinical Research Center, National Hospital Organization Nagoya Medical Center, Nagoya, Japan;

17. Department of Pediatrics, Kyoto Prefectural University of Medicine, Kyoto, Japan;

18. Cancer Cytogenetic Laboratory, Schneider Children’s Medical Center of Israel, Petah Tikva, Israel;

19. Department of Pediatrics, Oncology and Hematology, Medical University of Lodz, Lodz, Poland;

20. Children’s Cancer Research Institute, St. Anna Kinderkrebsforschung, Vienna, Austria;

21. Dutch Childhood Oncology Group, Utrecht, The Netherlands;

22. 1st Department of Medicine, Semmelweis University, Budapest, Hungary;

23. Pediatric Haematology-Oncology Program, Research Centre, Instituto Nacional de Câncer, Rio de Janeiro, Brazil;

24. Children’s Cancer Institute, Lowy Cancer Research Centre, University of New South Wales, Sydney, NSW, Australia; and

25. Department of Haematology, Great Ormond Street Hospital, London, United Kingdom

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.

Publisher

American Society of Hematology

Subject

Hematology

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