Genomic imbalance analysis provides new insight into prognostic factors in adult and pediatric T-ALL

Author:

Balducci Estelle12ORCID,Simonin Mathieu12,Duployez Nicolas34,Steimlé Thomas12,Dourthe Marie-Emilie12ORCID,Villarese Patrick12ORCID,Ducassou Stéphane5,Arnoux Isabelle6,Cayuela Jean-Michel7,Balsat Marie8,Courtois Lucien12ORCID,Andrieu Guillaume12ORCID,Touzart Aurore12,Huguet Françoise9ORCID,Petit Arnaud10ORCID,Ifrah Norbert11ORCID,Dombret Hervé12,Baruchel André1213,Macintyre Elizabeth12,Preudhomme Claude34ORCID,Boissel Nicolas12ORCID,Asnafi Vahid12

Affiliation:

1. 1Laboratory of Onco-Hematology, Necker Children's Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France

2. 2INSERM U1151, Institut Necker Enfants Malades, Paris, France

3. 3Laboratory of hematology, Biology and Pathology Center, CHU Lille, Lille, France

4. 4INSERM U1277 CANTHER, University Lille, Lille, France

5. 5Department of Pediatric Hematology-Oncology, Bordeaux University Hospital, Bordeaux, France

6. 6Hematology Laboratory, Marseille University Hospital Timone, Marseille, France

7. 7Laboratory of Hematology and EA 3518 University Hospital Saint-Louis, Assistance Publique-Hôpitaux de Paris, Université de Paris, Paris, France

8. 8Department of Hematology, Lyon-Sud Hospital, Hospices Civils de Lyon, Lyon, France

9. 9Hematology Department, Institut Universitaire du Cancer-Oncopole, CHU de Toulouse, Toulouse, France

10. 10Department of Pediatric Hematology and Oncology, Assistance Publique-Hôpitaux de Paris (AP-HP), GH HUEP, Armand Trousseau Hospital, Paris, France

11. 11PRES LUNAM, CHU Angers Service des Maladies du Sang et INSERM U 892, Angers, France

12. 12Université Paris Diderot, Institut Universitaire d'Hématologie, EA-3518, Assistance Publique-Hôpitaux de Paris, University Hospital Saint-Louis, Paris, France

13. 13Department of Pediatric Hematology and Immunology, University Hospital Robert Debré, Assistance Publique des Hôpitaux de Paris, Paris, France

Abstract

Abstract Given the poor outcome of refractory and relapsing T-cell acute lymphoblastic leukemia (T-ALL), identifying prognostic markers is still challenging. Using single nucleotide polymorphism (SNP) array analysis, we provide a comprehensive analysis of genomic imbalances in a cohort of 317 newly diagnosed patients with T-ALL including 135 children and 182 adults with respect to clinical and biological features and outcomes. SNP array results identified at least 1 somatic genomic imbalance in virtually all patients with T-ALL (∼96%). Del(9)(p21) (∼70%) and UPD(9)p21)/CDKN2A/B (∼28%) were the most frequent genomic imbalances. Unexpectedly del(13)(q14)/RB1/DLEU1 (∼14%) was the second most frequent copy number variant followed by del(6)(q15)/CASP8AP2 (∼11%), del(1)(p33)/SIL-TAL1 (∼11%), del(12)(p13)ETV6/CDKN1B (∼9%), del(18)(p11)/PTPN2 (∼9%), del(1)(p36)/RPL22 (∼9%), and del(17)(q11)/NF1/SUZ12 (∼8%). SNP array also revealed distinct profiles of genomic imbalances according to age, immunophenotype, and oncogenetic subgroups. In particular, adult patients with T-ALL demonstrated a significantly higher incidence of del(1)(p36)/RPL22, and del(13)(q14)/RB1/DLEU1, and lower incidence of del(9)(p21) and UPD(9p21)/CDKN2A/B. We determined a threshold of 15 genomic imbalances to stratify patients into high- and low-risk groups of relapse. Survival analysis also revealed the poor outcome, despite the low number of affected cases, conferred by the presence of chromothripsis (n = 6, ∼2%), del(16)(p13)/CREBBP (n = 15, ∼5%) as well as the newly-identified recurrent gain at 6q27 involving MLLT4 (n = 10, ∼3%). Genomic complexity, del(16)(p13)/CREBBP and gain at 6q27 involving MLLT4, maintained their significance in multivariate analysis for survival outcome. Our study thus demonstrated that whole genome analysis of imbalances provides new insights to refine risk stratification in T-ALL. This trial was registered at www.ClinicalTrials.gov as #NCT00222027 and #NCT00327678, and as #FRALLE 2000T trial.

Publisher

American Society of Hematology

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