Molecular classification improves risk assessment in adult BCR-ABL1–negative B-ALL

Author:

Paietta Elisabeth1,Roberts Kathryn G.2,Wang Victoria3,Gu Zhaohui2ORCID,Buck Georgina A. N.4,Pei Deqing5,Cheng Cheng5,Levine Ross L.6,Abdel-Wahab Omar6,Cheng Zhongshan7,Wu Gang7,Qu Chunxu2,Shi Lei5,Pounds Stanley5,Willman Cheryl L.8,Harvey Richard8ORCID,Racevskis Janis1,Barinka Jan2,Zhang Yanming9,Dewald Gordon W.10,Ketterling Rhett P.10,Alejos David1,Lazarus Hillard M.11ORCID,Luger Selina M.12,Foroni Letizia13,Patel Bela14,Fielding Adele K.15ORCID,Melnick Ari16ORCID,Marks David I.17,Moorman Anthony V.18,Wiernik Peter H.19,Rowe Jacob M.20,Tallman Martin S.21,Goldstone Anthony H.22,Mullighan Charles G.2ORCID,Litzow Mark R.23ORCID

Affiliation:

1. Department of Oncology, Montefiore Medical Center, Bronx, NY;

2. Department of Pathology, St Jude Children’s Research Hospital, Memphis, TN;

3. Department of Data Science, Dana-Farber Cancer Institute, Boston, MA;

4. Clinical Trial Service Unit, Nuttfield Department of Population Health, Oxford, United Kingdom;

5. Department of Biostatistics, St. Jude Children’s Research Hospital, Memphis, TN;

6. Human Oncology and Pathogenesis Program–Leukemia Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY;

7. Centre for Applied Bioinformatics, St Jude Children’s Research Hospital, Memphis, TN;

8. University of New Mexico Comprehensive Cancer Center, Albuquerque, NM;

9. Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY;

10. Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN;

11. Department of Medicine, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, OH;

12. Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA;

13. Centre for Haematology, Department of Medicine, Imperial College London Hammersmith Hospital, London, United Kingdom;

14. Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom;

15. UCL Cancer Institute, London, United Kingdom;

16. Division of Hematology and Medical Oncology, Department of Medicine, Weill Medical College of Cornell University, New York, NY;

17. Bristol Haematology and Oncology Centre, Bristol, United Kingdom;

18. Leukaemia Research Cytogenetics Group, Newcastle University Translational and Clinical Research Institute, Newcastle-upon-Tyne, United Kingdom;

19. Cancer Research Foundation, Bronx, NY;

20. Department of Hematology, Shaare Zedek Medical Center, Jerusalem, Israel;

21. Leukemia Service, Memorial Sloan Kettering Cancer Center, Weill Cornell Medical College, New York, NY;

22. University College London Hospitals, London, United Kingdom; and

23. Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN

Abstract

Abstract Genomic classification has improved risk assignment of pediatric, but not adult B-lineage acute lymphoblastic leukemia (B-ALL). The international UKALLXII/ECOG-ACRIN E2993 (#NCT00002514) trial accrued 1229 adolescent/adult patients with BCR-ABL1− B-ALL (aged 14 to 65 years). Although 93% of patients achieved remission, 41% relapsed at a median of 13 months (range, 28 days to 12 years). Five-year overall survival (OS) was 42% (95% confidence interval, 39, 44). Transcriptome sequencing, gene expression profiling, cytogenetics, and fusion polymerase chain reaction enabled genomic subtyping of 282 patient samples, of which 264 were eligible for trial, accounting for 64.5% of E2993 patients. Among patients with outcome data, 29.5% with favorable outcomes (5-year OS 65% to 80%) were deemed standard risk (DUX4-rearranged [9.2%], ETV6-RUNX1/-like [2.3%], TCF3-PBX1 [6.9%], PAX5 P80R [4.1%], high-hyperdiploid [6.9%]); 50.2% had high-risk genotypes with 5-year OS of 0% to 27% (Ph-like [21.2%], KMT2A-AFF1 [12%], low-hypodiploid/near-haploid [14.3%], BCL2/MYC-rearranged [2.8%]); 20.3% had intermediate-risk genotypes with 5-year OS of 33% to 45% (PAX5alt [12.4%], ZNF384/-like [5.1%], MEF2D-rearranged [2.8%]). IKZF1 alterations occurred in 86% of Ph-like, and TP53 mutations in patients who were low-hypodiploid (54%) and BCL2/MYC-rearranged (33%) but were not independently associated with outcome. Of patients considered high risk based on presenting age and white blood cell count, 40% harbored subtype-defining genetic alterations associated with standard- or intermediate-risk outcomes. We identified distinct immunophenotypic features for DUX4-rearranged, PAX5 P80R, ZNF384-R/-like, and Ph-like genotypes. These data in a large adult B-ALL cohort treated with a non–risk-adapted approach on a single trial show the prognostic importance of genomic analyses, which may translate into future therapeutic benefits.

Publisher

American Society of Hematology

Subject

Cell Biology,Hematology,Immunology,Biochemistry

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