Validation of the FL/IL6 score, a new dynamic cytokine-based risk-model in adults with acute myeloid leukemia, a prospective multicentre filo study.

P Pierre Peterlin (12Department of Hematology, Centre Hospitalier Universitaire de Nantes, Nantes, France) J Joëlle Gaschet (2CRCI2NA UMR INSERM 1307 CNRS 6075 Nantes Université - Université d'Angers, Nantes, France) S Sarah Bertoli M Marc Bernard (17CHU, Renne, France) M Martin Carré P Pierre Yves Dumas (11Department of Hematology, CHU de Bordeaux, Université de Bordeaux, INSERM-U1312, Bordeaux, France) C Chama Mokeddem (7Angers University Hospital, Clinical Hematology, Angers, France) A Amine Belhabri (19Service d’Hématologie, Centre Léon-Bérard, Lyon, France) A Anne Banos (18Côte Basque Hospital, Clinical Hematology Department, Bayonne, France) C Caroline Bonmati (19Department of Hematology, Centre Hospitalier Universitaire de Nancy, Vandoeuvre-les-Nancy, France) E Emmanuelle Tavernier G Gaëlle Guillerm (21Department of Hematology, Centre Hospitalier Universitaire de Brest, Brest, France) S Sarah Bonnet (15CHRU Montpellier, Département d'Hématologie Clinique, Montpellier, France) J Justine Decroocq (6Hopital Cochin, AP-HP, Hôpitaux Universitaires Paris Nord, Hematology, Paris, France) A Alain Saad (15Beziers Hospital, Clinical Hematology, Beziers, France) M Mario Ojeda-Uribe (16Mulhouse Hospital, Clinical Hematology, Mulhouse, France) R Romain Guieze (14Department of Hematology, Centre Hospitalier Universitaire de Clermont-Ferrand, Clermont-Ferrand, France) R Raja Prince-Eladnani (18Allegheny Health Network, Pittsburgh, United States) A Alice Garnier (3University Hospital of Nantes, Department for Clinical Hematology, Nantes, France) A Arnaud Pigneux C Christian Récher M Marie-Anne Vibet (19Clinical Research Centre, Nantes University Hospital, Nantes, France, Statistics, Nantes, France) P Patrice Chevallier (Service d’Hématologie, Centre Hospitalier Universitaire (CHU) Hôtel Dieu, Nantes, France)

Abstract

Abstract Background: In a recent monocentric study in adults with acute myeloid leukemia (AML), it was shown that combining the kinetic profile of plasma level concentrations of Fms-like Tyrosine Kinase 3 Ligand (FL) with that of Interleukine-6 (IL6) level evaluated at day (D) 22 during a frontline intensive induction was strongly predictive of response and overall survival (OS). Indeed, three FL kinetic profiles can be delineated during induction (FL risk-model): i) sustained increase of FL between D 1 and D22 (FLI group), ii) increase from D1 to D15, then decrease at D22 (FLD group) and iii) stagnation of low levels (FLL group). With longer follow-up, it was observed that FLI and FLD groups shared similar outcomes while the FLL group kept a very bad prognostic. Thereafter, D22 IL6 level allowed to predict survival within the combined FLI/FLD sub-group. Thus, a new FL/IL6 risk-model was proposed, distinguishing 3 sub-groups: FLI/FLD with IL-6 <15.5 pg/mL (favorable, F), FLI/FLD with IL-6 ≥ 15.5 pg/mL (intermediate, I) and FLL (adverse, A). To confirm these results, we have conducted a large prospective multicentre study. Preliminary results, focusing on the FL risk-model impact, were presented at the ASH 2023 meeting (Blood (2023) 142: 975). We now report on the impact of the FL/IL6 score in the same cohort of AML patients (pts) with a longer follow-up. Methods: The non-interventional multicentric prospective FLAMVAL study (clinicaltrials.gov: NCT04641910) was conducted on behalf of the French Innovative Leukemia Organization (FILO) and was funded by Astellas. The main objective was to validate the prognostic impact on 2y OS of the new FL/IL6 risk-model. All adults (≥ 18 years old, yo) with a non-previously treated non-M3 AML and receiving a standard intensive induction chemotherapy were eligible. FL and IL6 plasma levels were evaluated at D1, D8, D15 and D22 using a cytokine multiplex assay from Milliplex (MILLIPLEX®). The number of pts to be included was estimated at 201. All pts gave informed consent. Results: Between June 2021 and August 2022, 226 pts from 16 FILO centres were included and 203 with full available dosages were eventually considered for analyses. Median age was 59 yo [IQR:48-67], 52% were men, median white blood count (WBC) was 4.15 G/L [IQR: 2-11.5]. Of the 48 pts with FLT3 mutations (FLT3-ITD n=40, FLT3-TKD n=7, both n=1), 41 received a FLT3 inhibitor during induction. Also 106 pts (52%) received allo-HSCT. According to ELN-2017 risk-classification, 55 (27%), 87 (43%) and 61 (30%) pts had F-, I- and A-risk, respectively. Considering the whole cohort, the complete remission (CR)/CR with incomplete hematologic recovery (CRi) rate (according to ELN-2017 risk-classification) was 76%, 2y OS and EFS were 70% (95%CI: 63; 73) and 45% (95%CI: 38-52), respectively. Median OS was not reached, median EFS was 24 months (95%CI: 21; 24). According to the new FL/IL6 risk-model, 44 (22%), 81 (40%) and 74 (36%) pts had F-, I- and A-risk, respectively, while 4 pts (2%) could not be classified. The CR/CRi rates were F: 89%, I: 89% and A: 66%, p<0.001. 2-y OS were F: 84% (70-93), I: 69% (58-79) and A: 61%, p=0.04. 2y EFS were F: 55% (39-70), I: 52% (47-64) and A: 30% (20-42), p=0.003. Multivariate analyses (MA) were performed for response, OS and LFS, including the following factors: FL/IL6 risk-model, ELN-2017 risk-classification, age (< vs ≥ 60 yo), WBC (< vs ≥ 20 G/L), sex and FLT3 status. FL/IL6 F-risk (vs A-risk, HR: 0.32; 95%CI: 0.18-0.46, p<0.001) and ELN2017 F-risk (vs I-risk, HR: 0.23; 95%CI: 0.09-0.36, p=0.001; and vs A-risk, HR: 0.25; 95%CI: 0.10-0.39, p=0.001) were significantly associated with better CR/CRi rate after induction. Both FL/IL6 I-risk (vs F-risk, HR: 2.82, 95%CI: 1.20-6.63, p=0.01) and A-risk (vs F-risk, HR: 2.99; 95%CI: 1.30-6.88, p=0.01) as well as ELN-2017 I-risk (vs F-risk, HR: 3.85; 95%CI: 1.46-10.19, p=0.007) and A-risk (vs F-risk, HR: 8.31; 95%CI: 3.15-21.88, p<0.001) were significantly associated with lower OS. Also, FL/IL6 A-risk (vs F-risk, HR: 2.35, 95%CI: 1.37-4.02, p=0.002) and ELN-2017 I-risk (vs F-risk, HR: 2.19; 95%CI: 1.25-3.85, p=0.006) and A-risk (vs F-risk, HR: 2.65; 95%CI: 1.51-4.63, p=0.001) were significantly associated with lower EFS. Age, WBC, sex, and FLT3 status have no impact on response, OS and EFS. Conclusion: The new FL/IL6 cytokine-based risk-model predicts response and survivals in intensively treated adult AML pts, deserving further investigation in AML studies.

Article Details

Journal Blood
Volume / Issue Vol. 146, Issue Supplement 1
Published November 03, 2025
Pages 5247-5247
ISSN 0006-4971
Publisher Elsevier BV

Journal Info

Blood

Elsevier BV

ISSN: 0006-4971 Health Sciences

Authors (23)

P

Pierre Peterlin

12Department of Hematology, Centre Hospitalier Universitaire de Nantes, Nantes, France

J

Joëlle Gaschet

2CRCI2NA UMR INSERM 1307 CNRS 6075 Nantes Université - Université d'Angers, Nantes, France

S

Sarah Bertoli

M

Marc Bernard

17CHU, Renne, France

M

Martin Carré

P

Pierre Yves Dumas

11Department of Hematology, CHU de Bordeaux, Université de Bordeaux, INSERM-U1312, Bordeaux, France

C

Chama Mokeddem

7Angers University Hospital, Clinical Hematology, Angers, France

A

Amine Belhabri

19Service d’Hématologie, Centre Léon-Bérard, Lyon, France

A

Anne Banos

18Côte Basque Hospital, Clinical Hematology Department, Bayonne, France

C

Caroline Bonmati

19Department of Hematology, Centre Hospitalier Universitaire de Nancy, Vandoeuvre-les-Nancy, France

E

Emmanuelle Tavernier

G

Gaëlle Guillerm

21Department of Hematology, Centre Hospitalier Universitaire de Brest, Brest, France

S

Sarah Bonnet

15CHRU Montpellier, Département d'Hématologie Clinique, Montpellier, France

J

Justine Decroocq

6Hopital Cochin, AP-HP, Hôpitaux Universitaires Paris Nord, Hematology, Paris, France

A

Alain Saad

15Beziers Hospital, Clinical Hematology, Beziers, France

M

Mario Ojeda-Uribe

16Mulhouse Hospital, Clinical Hematology, Mulhouse, France

R

Romain Guieze

14Department of Hematology, Centre Hospitalier Universitaire de Clermont-Ferrand, Clermont-Ferrand, France

R

Raja Prince-Eladnani

18Allegheny Health Network, Pittsburgh, United States

A

Alice Garnier

3University Hospital of Nantes, Department for Clinical Hematology, Nantes, France

A

Arnaud Pigneux

C

Christian Récher

M

Marie-Anne Vibet

19Clinical Research Centre, Nantes University Hospital, Nantes, France, Statistics, Nantes, France

P

Patrice Chevallier

Service d’Hématologie, Centre Hospitalier Universitaire (CHU) Hôtel Dieu, Nantes, France