Genetic identification of patients with AML older than 60 years achieving long-term survival with intensive chemotherapy

Author:

Itzykson Raphael12ORCID,Fournier Elise3,Berthon Céline3ORCID,Röllig Christoph45ORCID,Braun Thorsten6,Marceau-Renaut Alice3,Pautas Cécile7ORCID,Nibourel Olivier3,Lemasle Emilie8,Micol Jean-Baptiste9,Adès Lionel1010ORCID,Lebon Delphine11,Malfuson Jean-Valère12,Gastaud Lauris13,Goursaud Laure3,Raffoux Emmanuel1,Wattebled Kevin-James14,Rousselot Philippe1516,Thomas Xavier17,Chantepie Sylvain18ORCID,Cluzeau Thomas19,Serve Hubert20ORCID,Boissel Nicolas21,Terré Christine22,Celli-Lebras Karine23,Preudhomme Claude3ORCID,Thiede Christian4ORCID,Dombret Hervé124,Gardin Claude624,Duployez Nicolas3

Affiliation:

1. Service Hématologie Adultes, Hôpital Saint-Louis, Assistance Publique–Hôpitaux de Paris (AP-HP), Paris, France;

2. Génomes, Biologie Cellulaire et Thérapeutique, Unité 944, Université de Paris, Centre National de la Recherche Scientifique (CNRS), INSERM, Paris, France;

3. Département d'Hématologie, Canther (Cancer Heterogeneity, Plasticity and Resistance to Therapies), Unité 1277, Centre Hospitalier Universitaire de Lille, Université de Lille, INSERM, Lille, France;

4. Medizinische Klinik and;

5. Poliklinik 1, Universitätsklinikum Techniche Universität Dresden, Dresden, Germany;

6. Service d’Hématologie Clinique, Hôpital Avicenne, AP-HP, Bobigny, France;

7. Service d’Hématologie Clinique, Hôpital Henri Mondor, AP-HP, Créteil, France;

8. Service d’Hématologie, Centre Henri Becquerel, Rouen, France;

9. Département d’Hématologie, Institut Gustave Roussy, Université Paris-Saclay, Villejuif, France;

10. Service Hématologie Seniors, Hôpital Saint-Louis, AP-HP, Paris, France;

11. Service d’Hématologie Clinique, CHU Amiens, France;

12. Service d’Hématologie Clinique, Hôpital d’Instruction des Armées Percy, Clamart, France;

13. Département d’Oncologie Médicale, Centre Antoine Lacassagne, Nice, France;

14. Service d’Hématologie Clinique, Centre Hospitalier Dunkerque, Dunkirk, France;

15. Département d’Hématologie Clinique, Hôpital André Mignot, Centre Hospitalier de Versailles, Le Chesnay, France;

16. Unité Mixte de Recherche (UMR) 1184, Infectious Disease Models for Innovative Therapies (IDMIT) Department, Université Paris-Saclay, Commissariat à l'Énergie Atomique et Aux Énergies Alternatives (CEA), INSERM, Paris, France;

17. Service d'Hématologie Clinique, Hospices Civils de Lyon, Hôpital Lyon Sud, Pierre-Bénite, France;

18. Service d’Hématologie Clinique, CHU Caen, Caen, France;

19. Service d’Hématologie, Université Cote d’Azur, CHU de Nice, Nice, France;

20. Department of Medicine 2, Hematology and Oncology, Goethe University Frankfurt, Frankfurt, Germany;

21. Service Hématologie Adolescents Jeunes Adultes, Hôpital Saint-Louis, AP-HP, Paris, France;

22. Laboratoire de Cytogénétique, CH Versailles, Le Chesnay, France;

23. Coordination Office, Acute Leukemia French Association, Paris, France; and

24. Institut de Recherche Saint-Louis (IRSL), Equipe d'Accueil (EA) 3518, Université de Paris, Hôpital Saint-Louis, Paris, France

Abstract

Abstract To design a simple and reproducible classifier predicting the overall survival (OS) of patients with acute myeloid leukemia (AML) ≥60 years of age treated with 7 + 3, we sequenced 37 genes in 471 patients from the ALFA1200 (Acute Leukemia French Association) study (median age, 68 years). Mutation patterns and OS differed between the 84 patients with poor-risk cytogenetics and the 387 patients with good (n = 13), intermediate (n = 339), or unmeasured (n = 35) cytogenetic risk. TP53 (hazards ratio [HR], 2.49; P = .0003) and KRAS (HR, 3.60; P = .001) mutations independently worsened the OS of patients with poor-risk cytogenetics. In those without poor-risk cytogenetics, NPM1 (HR, 0.57; P = .0004), FLT3 internal tandem duplications with low (HR, 1.85; P = .0005) or high (HR, 3.51; P < 10−4) allelic ratio, DNMT3A (HR, 1.86; P < 10−4), NRAS (HR, 1.54; P = .019), and ASXL1 (HR, 1.89; P = .0003) mutations independently predicted OS. Combining cytogenetic risk and mutations in these 7 genes, 39.1% of patients could be assigned to a “go-go” tier with a 2-year OS of 66.1%, 7.6% to the “no-go” group (2-year OS 2.8%), and 3.3% of to the “slow-go” group (2-year OS of 39.1%; P < 10−5). Across 3 independent validation cohorts, 31.2% to 37.7% and 11.2% to 13.5% of patients were assigned to the go-go and the no-go tiers, respectively, with significant differences in OS between tiers in all 3 trial cohorts (HDF [Hauts-de-France], n = 141, P = .003; and SAL [Study Alliance Leukemia], n = 46; AMLSG [AML Study Group], n = 223, both P < 10−5). The ALFA decision tool is a simple, robust, and discriminant prognostic model for AML patients ≥60 years of age treated with intensive chemotherapy. This model can instruct the design of trials comparing the 7 + 3 standard of care with less intensive regimens.

Publisher

American Society of Hematology

Subject

Cell Biology,Hematology,Immunology,Biochemistry

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