Genomic analysis of primary and secondary myelofibrosis redefines the prognostic impact of ASXL1 mutations: a FIM study

Author:

Luque Paz Damien123ORCID,Riou Jérémie4ORCID,Verger Emmanuelle56ORCID,Cassinat Bruno56ORCID,Chauveau Aurélie7,Ianotto Jean-Christophe8,Dupriez Brigitte9,Boyer Françoise10,Renard Maxime123,Mansier Olivier1112ORCID,Murati Anne13,Rey Jérôme14,Etienne Gabriel15ORCID,Mansat-De Mas Véronique7,Tavitian Suzanne16,Nibourel Olivier1718,Girault Stéphane19,Le Bris Yannick2021,Girodon François22ORCID,Ranta Dana23,Chomel Jean-Claude24ORCID,Cony-Makhoul Pascale25,Sujobert Pierre26,Robles Margot27,Ben Abdelali Raouf28,Kosmider Olivier29ORCID,Cottin Laurane123ORCID,Roy Lydia3031,Sloma Ivan3233,Vacheret Fabienne34,Wemeau Mathieu35,Mossuz Pascal36,Slama Borhane37,Cussac Vincent38,Denis Guillaume39ORCID,Walter-Petrich Anouk40,Burroni Barbara41,Jézéquel Nathalie7,Giraudier Stéphane56ORCID,Lippert Eric7ORCID,Socié Gérard42,Kiladjian Jean-Jacques643,Ugo Valérie123ORCID

Affiliation:

1. Univ Angers, INSERM, CRCINA, Angers, France;

2. Laboratoire d'Hématologie, Centre Hospitalier Universitaire (CHU) Angers, Angers, France;

3. Univ Angers, UFR Santé, Angers, France;

4. Univ Angers, INSERM, Unit 1066 minT, Angers, France;

5. Laboratoire de Biologie Cellulaire, Assistance Publique–Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France;

6. Université de Paris, U1131 INSERM, IRSL, Paris, France;

7. Laboratoire d’Hématologie and

8. Service d’Hématologie Clinique, CHRU Brest, Brest, France;

9. Hématologie Clinique, CH Lens, Lens, France;

10. Service des Maladies du Sang, CHU Angers, Angers, France;

11. Laboratoire d'Hématologie, CHU Bordeaux, Bordeaux, France;

12. Université de Bordeaux, INSERM U1034, Bordeaux, France;

13. Département de Biopathologie et Département d’Oncologie Prédictive and

14. Département d’Hématologie, Centre de Recherche en Cancérologie de Marseille, Institut Paoli-Calmettes, INSERM, Marseille, France;

15. Département d’Hématologie, Institut Bergonié, Bordeaux, France;

16. Service d'Hématologie, CHU Toulouse, Institut Universitaire du Cancer de Toulouse Oncopole, Toulouse, France;

17. Laboratoire d’Hématologie Cellulaire and

18. UMR 9020-UMR-S 1277-Canther-Cancer Heterogeneity, Plasticity and Resistance to Therapies, Institut de Recherche contre le Cancer de Lille, University Lille, CNRS, INSERM, CHU Lille, Lille, France;

19. Service d’Hématologie, CHU Limoges, Limoges, France;

20. Laboratoire d’Hématologie, CHU Nantes, Nantes, France;

21. Université de Nantes, INSERM, CRCINA, Nantes, France;

22. Service d’Hématologie Biologique, CHU Dijon, Dijon, France;

23. Hématologie Clinique, CHU Nancy, Nancy, France;

24. Service de Cancérologie Biologique, CHU Poitiers, Poitiers, France;

25. Hématologie, CH Annecy, Annecy, France;

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

27. Hématologie Clinique, CH Périgueux, Périgueux, France;

28. Pôle Hématologie et Oncologie, Laboratoire Cerba, Saint-Ouen L’Aumône, France;

29. Laboratoire d’Hématologie, Assistance Publique–Hôpitaux de Paris, Hôpital Cochin, Paris, France;

30. Service d’Hématologie, Assistance Publique-Hôpitaux de Paris, Hôpital Henri Mondor, Créteil, France;

31. Faculté de Santé, Université Paris Est Créteil (UPEC), Créteil, France;

32. Département d’Hématologie et Immunologie, Assistance Publique–Hôpitaux de Paris, Hôpital Henri Mondor, Créteil, France;

33. Université Paris Est Créteil, INSERM, IMRB, Créteil, France;

34. Service d’Hématologie, CH Perpignan, Perpignan, France;

35. Hématologie, CH Roubaix, Roubaix, France;

36. Laboratoire d’Hématologie, CHU Grenoble, Grenoble, France;

37. Service d'Onco-Hématologie, CH Avignon, Avignon, France;

38. Laboratoire d’Hématologie, CH Le Mans, Le Mans, France;

39. Service d’Hématologie, CH Rochefort, Rochefort, France;

40. ECSTRRA Team U1153, INSERM, Université de Paris, Paris, France;

41. Département d’Anatomo-Pathologie, Assistance Publique–Hôpitaux de Paris, Hôpital Cochin, Paris, France;

42. Hématologie-Transplantation, Assistance Publique–Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France; and

43. Centre d'Investigations Cliniques (INSERM CIC1427), Assistance Publique–Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France

Abstract

Abstract We aimed to study the prognostic impact of the mutational landscape in primary and secondary myelofibrosis. The study included 479 patients with myelofibrosis recruited from 24 French Intergroup of Myeloproliferative Neoplasms (FIM) centers. The molecular landscape was studied by high-throughput sequencing of 77 genes. A Bayesian network allowed the identification of genomic groups whose prognostic impact was studied in a multistate model considering transitions from the 3 conditions: myelofibrosis, acute leukemia, and death. Results were validated using an independent, previously published cohort (n = 276). Four genomic groups were identified: patients with TP53 mutation; patients with ≥1 mutation in EZH2, CBL, U2AF1, SRSF2, IDH1, IDH2, NRAS, or KRAS (high-risk group); patients with ASXL1-only mutation (ie, no associated mutation in TP53 or high-risk genes); and other patients. A multistate model found that both TP53 and high-risk groups were associated with leukemic transformation (hazard ratios [HRs] [95% confidence interval], 8.68 [3.32-22.73] and 3.24 [1.58-6.64], respectively) and death from myelofibrosis (HRs, 3.03 [1.66-5.56] and 1.77 [1.18-2.67], respectively). ASXL1-only mutations had no prognostic value that was confirmed in the validation cohort. However, ASXL1 mutations conferred a worse prognosis when associated with a mutation in TP53 or high-risk genes. This study provides a new definition of adverse mutations in myelofibrosis with the addition of TP53, CBL, NRAS, KRAS, and U2AF1 to previously described genes. Furthermore, our results argue that ASXL1 mutations alone cannot be considered detrimental.

Publisher

American Society of Hematology

Subject

Hematology

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