Therapy-related core binding factor Acute Myeloid Leukemia – a Study of the french acute leukemia intergroup

M Mathilde Chanut (1Hôpital St Louis, Adult Hematology Department, Paris, France) L Loïc Vasseur (2Hôpital St Louis, Adolescents and young adults department, Paris, France) M Matthieu Duchmann (3Hôpital St Louis, Hematology Laboratory, Paris, France) P Pierre Hirsch C Céline Berthon (29Service d’Hématologie, Centre Hospitalier Universitaire de Lille, Hôpital Claude-Huriez, Lille, France) M Maël Heiblig (9Department of Hematology, Centre Hospitalier Universitaire de Lyon, Lyon, France) T Thorsten Braun (Service Hématologie, Hôpital Avicenne, AP-HP, Paris) M Mathieu Leclerc (8Hôpital Henri Mondor, Service d'Hématologie Clinique et de Thérapie Cellulaire, Créteil, France) J Jean Valère Malfuson (9Hôpital d'Instruction des Armées Percy, Service d'Hématologie Clinique, Clamart, France) D Delphine Lebon (10CHU Amiens Picardie, Unité d'Hématologie clinique et Thérapie Cellulaire, Amiens, France) M Madalina Uzunov (11Sorbonne Université, AP-HP, Pitié- Salpêtrière Hospital, Department of Clinical Haematology, Paris, France) J Jean-Noel Bastie (12University Hospital Dijon, Department of Clinical Hematology, Dijon, France) G Gian Matteo Pica (13CHR Métropole Savoie, Hematology Department, Chambéry, France) M Marie-Anne Hospital (7Department of Hematology, Institut Paoli-Calmettes, Marseille, France) T Thomas Cluzeau (15Service d’Hématologie, Centre Hospitalier Universitaire de Nice, Nice, France) J Juliette Lambert (19Department of Hematology, Centre Hospitalier Universitaire de Versailles, Versailles, France) L Lauris Gastaud (17Centre Antoine Lacassagne, Hematology Department, Nice, France) K Karine Celli-Lebras (23Acute Leukemia French Intergroup Coordination, Paris, France) A Arnaud Pigneux S Stéphane de Botton C Christian Récher C Claude Preudhomme (Unité Mixte de Recherche (UMR) 9020-UMR-S 1277-Canther-Cancer Heterogeneity, Plasticity and Resistance to Therapies, Institut de Recherche contre le Cancer de Lille, University of Lille, CNRS, Inserm, Centre Hospitalier Universitaire Lille, Lille, France) E Eric Jourdan (23CHU de Nîmes, Nimes, France) H Hervé Dombret N Nicolas Boissel N Nicolas Duployez (Unité Mixte de Recherche (UMR) 9020-UMR-S 1277-Canther-Cancer Heterogeneity, Plasticity and Resistance to Therapies, Institut de Recherche contre le Cancer de Lille, University of Lille, CNRS, Inserm, Centre Hospitalier Universitaire Lille, Lille, France) R Raphaël Itzykson (6Department of Hematology, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, Université Paris Cité, Paris, France) J Jean-Baptiste Micol (28Gustave-Roussy, université Paris-Saclay, Department of Hematology, Villejuif, France)

Abstract

Abstract Introduction Therapy-related CBF-AMLs represent approximately 10% of all CBF-AMLs and are associated with poorer outcomes, partly due to the associated solid tumor. Existing studies are small, and more data—especially NGS and cytogenetics—are needed to better define their characteristics and prognosis. Methods We analyzed data from a retrospective multicenter study (NCT05070208) and the prospective CBF-2006 trial (NCT00428558, Jourdan et al. 2014) from the French AML intergroup, including CBF-AML patients diagnosed between 2007–2020. Cases with prior chemo- or radiotherapy were classified as therapy-related (t-AML). Baseline characteristics were compared in the overall cohort. Outcomes were assessed in a sub-population of fit patients (≤80 years, cancer in remission, intensive chemotherapy). Centralized NGS was performed using 40- and 68-gene panels (36 genes in common), and MRD was assessed by RT-qPCR for RUNX1::RUNX1T1 and CBFB::MYH11. Results Among 749 CBF-AML patients included between 2007 and 2021, 78 had t-AML. t-AML patients were older (median age: 59 vs. 45 years, p<0.001), more likely to be female (68% vs. 44%, p<0.001), and had lower white blood cell counts (WBC) at diagnosis (median: 6 vs. 15 G/L, p<0.001). was the most common prior neoplasm (42%). Median interval from chemo/radiotherapy to t-AML onset was 38 months (IQR [interquartile range]: 25–69). Neoplasms were in complete remission after chemotherapy (74%) and/or radiotherapy (49%) at CBF-AML diagnosis in 83% pts and remained in sustained remission in 78% after a median follow up of 1.8 years. The distribution of RUNX1::RUNX1T1 and CBFB::MYH11 subtypes was similar between therapy-related and de novo cases (44% and 43% for RUNX1::RUNX1T1, p>0.9). Cytogenetically, X chromosome deletions were more frequent in t-AML (16% vs. 8%, p=0.016). t-AMLs showed fewer on NGS (63% vs. 75%, p = 0.019), and fewer FLT3 mutations (10% vs. 24%, p = 0.03). No other difference was observed in the mutational landscape of t-AML, including KIT and TP53 alterations. In the selected population of patients without active cancer at AML diagnosis and treated with intensive chemotherapy (n=693, including 57 t-AML), induction regimens were mainly based on 7+3 ( in t-AML vs 72% in non-t-AML, p=0.07) and consolidation courses on intermediate/high dose cytarabine courses (93% in t-AML vs 90% in non-t-AML, p=0.64). Gemtuzumab-ozogamycin was added to Cx in 9% of t-AML (vs. 10% of non-t-AML, p=1.0). Allogeneic transplant in first complete remission was performed in 9% of t-AML and 5% of non-t-AML (p=0.21). Therapy-related AML patients had a CR/CRp rate of 95%, not different from de novo patients (95%, p=0.74). MRD after one cycle of induction was not different in t-AML in bone marrow (median: 0.20% [IQR: 0.04-0.82%] vs. 0.17% [IQR: 0.03-0.49%], p=0.50) nor in peripheral blood (median: 0.02% [IQR: 0.002-0.14%] vs. 0.03% [IQR: 0.001-0.19%], p=0.85). With a median follow-up of 5.3 years (IQR :3.9-6.8), the 3-year cumulative incidence (CI) of relapse was 41% (95%CI [confidence interval]:27%-54%) in t-AML patients and 38% (95%CI:34%-42%) in non-t-AML patients (csHR=1.07 [95%CI:0.69-1.68], p=0.76). No difference was also observed for non-relapse mortality (NRM) (3-year CI-NRM: 2% [95%CI:0%-9%] for t-AML vs. 3% [95%CI:2%-5%] for non-t-AML, csHR=0.87 [95%CI:0.21-3.66], p=0.85). Overall survival (OS) was lower in t-AML in univariable analysis (3-year OS: 62% [95%CI:50%-77%] in t-AML vs 79% [95%CI:75%-82%] in non-t-AML, p=0.03). Nevertheless, this was not confirmed in multivariable analysis (HR=1.36, 95%CI:0.84-2.18, p=0.21 for t-AML) when accounting for age (per 10 years of age HR=1.27, 95%CI:1.14-1.42, p<0.001), WBC count (log10 scale HR=1.25, 95%CI:0.94-1.65, p=0.12), and CBF subtype (HR=1.19, 95%CI:0.87-1.62, p=0.29 for RUNX1::RUNX1T1). In patients who experienced relapse (n=249 including 21 t-AML), OS after relapse was dismal in t-AML (16% [95%CI:6%-45%] vs 56% [95%CI:50%-64%], p<0.0001). Conclusion This study shows that therapy-related CBF-AML patients are older, have lower WBC at diagnosis, and present with similar molecular profiles compared to de novo cases. Among a homogenous cohort of patients without active cancer and treated with intensive chemotherapy, there were no differences in CR/CRp rates, relapse incidence, or non-relapse mortality. Unlike previous studies, overall survival was not significantly different after multivariable adjustment for age, WBC count, and CBF subtype.

Article Details

Journal Blood
Volume / Issue Vol. 146, Issue Supplement 1
Published November 03, 2025
Pages 37-37
ISSN 0006-4971
Publisher Elsevier BV

Journal Info

Blood

Elsevier BV

ISSN: 0006-4971 Health Sciences

Authors (28)

M

Mathilde Chanut

1Hôpital St Louis, Adult Hematology Department, Paris, France

L

Loïc Vasseur

2Hôpital St Louis, Adolescents and young adults department, Paris, France

M

Matthieu Duchmann

3Hôpital St Louis, Hematology Laboratory, Paris, France

P

Pierre Hirsch

C

Céline Berthon

29Service d’Hématologie, Centre Hospitalier Universitaire de Lille, Hôpital Claude-Huriez, Lille, France

M

Maël Heiblig

9Department of Hematology, Centre Hospitalier Universitaire de Lyon, Lyon, France

T

Thorsten Braun

Service Hématologie, Hôpital Avicenne, AP-HP, Paris

M

Mathieu Leclerc

8Hôpital Henri Mondor, Service d'Hématologie Clinique et de Thérapie Cellulaire, Créteil, France

J

Jean Valère Malfuson

9Hôpital d'Instruction des Armées Percy, Service d'Hématologie Clinique, Clamart, France

D

Delphine Lebon

10CHU Amiens Picardie, Unité d'Hématologie clinique et Thérapie Cellulaire, Amiens, France

M

Madalina Uzunov

11Sorbonne Université, AP-HP, Pitié- Salpêtrière Hospital, Department of Clinical Haematology, Paris, France

J

Jean-Noel Bastie

12University Hospital Dijon, Department of Clinical Hematology, Dijon, France

G

Gian Matteo Pica

13CHR Métropole Savoie, Hematology Department, Chambéry, France

M

Marie-Anne Hospital

7Department of Hematology, Institut Paoli-Calmettes, Marseille, France

T

Thomas Cluzeau

15Service d’Hématologie, Centre Hospitalier Universitaire de Nice, Nice, France

J

Juliette Lambert

19Department of Hematology, Centre Hospitalier Universitaire de Versailles, Versailles, France

L

Lauris Gastaud

17Centre Antoine Lacassagne, Hematology Department, Nice, France

K

Karine Celli-Lebras

23Acute Leukemia French Intergroup Coordination, Paris, France

A

Arnaud Pigneux

S

Stéphane de Botton

C

Christian Récher

C

Claude Preudhomme

Unité Mixte de Recherche (UMR) 9020-UMR-S 1277-Canther-Cancer Heterogeneity, Plasticity and Resistance to Therapies, Institut de Recherche contre le Cancer de Lille, University of Lille, CNRS, Inserm, Centre Hospitalier Universitaire Lille, Lille, France

E

Eric Jourdan

23CHU de Nîmes, Nimes, France

H

Hervé Dombret

N

Nicolas Boissel

N

Nicolas Duployez

Unité Mixte de Recherche (UMR) 9020-UMR-S 1277-Canther-Cancer Heterogeneity, Plasticity and Resistance to Therapies, Institut de Recherche contre le Cancer de Lille, University of Lille, CNRS, Inserm, Centre Hospitalier Universitaire Lille, Lille, France

R

Raphaël Itzykson

6Department of Hematology, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, Université Paris Cité, Paris, France

J

Jean-Baptiste Micol

28Gustave-Roussy, université Paris-Saclay, Department of Hematology, Villejuif, France