Back to Search Start Over

Oncogenic Predictors of Outcome in Older AML Patients Treated Intensively. Analysis of the ALFA-1200 Trial

Authors :
Lauris Gastaud
Sylvain Chantepie
Olivier Nibourel
Karine Celli-Lebras
Christine Terré
Nicolas Boissel
Hervé Dombret
Lionel Ades
Jean-Baptiste Micol
Benjamin Papoular
Raphael Itzykson
Cécile Pautas
Nicolas Duployez
Elise Fournier
Claude Gardin
Céline Berthon
Emilie Lemasle
Thomas Cluzeau
Thorsten Braun
Xavier Thomas
Alice Marceau-Renaut
Emmanuel Raffoux
Jean Valère Malfuson
Philippe Rousselot
Claude Preudhomme
Jean-Pierre Marolleau
Hématopoïèse normale et pathologique
Université Paris-Sud - Paris 11 (UP11)-Institut Gustave Roussy (IGR)-Institut National de la Santé et de la Recherche Médicale (INSERM)
Hôpital Claude Huriez [Lille]
CHU Lille
Recherche clinique appliquée à l'hématologie (URP_3518)
Université Paris Cité (UPCité)
Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)
Centre de Recherche Jean-Pierre AUBERT Neurosciences et Cancer - U837 (JPArc)
Université Lille Nord de France (COMUE)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille
Cancer Heterogeneity, Plasticity and Resistance to Therapies - UMR 9020 - U 1277 (CANTHER)
Institut Pasteur de Lille
Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Centre National de la Recherche Scientifique (CNRS)
Service d'Hématologie Biologique [Mondor]
Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Henri Mondor
Service d'Hématologie Cellulaire [Lille]
Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)
Centre de Lutte Contre le Cancer Henri Becquerel Normandie Rouen (CLCC Henri Becquerel)
Service de pathologie [CHU Lille]
Département d'hématologie [Gustave Roussy]
Institut Gustave Roussy (IGR)
Hôpital Saint-Louis
Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Diderot - Paris 7 (UPD7)
Service clinique des Maladies du Sang
CHU Amiens-Picardie
Hôpital d'instruction des Armées Percy
Service de Santé des Armées
Centre de Lutte contre le Cancer Antoine Lacassagne [Nice] (UNICANCER/CAL)
UNICANCER-Université Côte d'Azur (UCA)
Service d'hématologie biologique
Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Groupe Hospitalier Saint Louis - Lariboisière - Fernand Widal [Paris]
Biomarqueurs et essais cliniques en Cancérologie et Onco-Hématologie (BECCOH)
Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Paris-Saclay
Centre Hospitalier Lyon Sud [CHU - HCL] (CHLS)
Hospices Civils de Lyon (HCL)
Institut d'Hématologie de Basse-Normandie (IHBN)
Université de Caen Normandie (UNICAEN)
Normandie Université (NU)-Normandie Université (NU)-CHU Caen
Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN)-Tumorothèque de Caen Basse-Normandie (TCBN)-Centre Régional de Lutte contre le Cancer François Baclesse [Caen] (UNICANCER/CRLC)
Normandie Université (NU)-UNICANCER-Tumorothèque de Caen Basse-Normandie (TCBN)-UNICANCER
Mathématiques & Sécurité de l'information (XLIM-MATHIS)
XLIM (XLIM)
Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS)-Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS)
Centre Hospitalier Universitaire de Nîmes (CHU Nîmes)
Département de Génétique [CH Versailles]
Centre Hospitalier de Versailles André Mignot (CHV)
Service d'Hématologie [AP-HP Hôpital Saint-Louis]
Hopital Saint-Louis [AP-HP] (AP-HP)
Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)
Service d'hématologie clinique [Avicenne]
Université Paris 13 (UP13)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Avicenne [AP-HP]
DESSAIVRE, Louise
Source :
Blood, Blood, 2018, 132 (1), ⟨10.1182/blood-2018-99-111144⟩
Publication Year :
2018
Publisher :
HAL CCSD, 2018.

Abstract

Context. The prognostic value of gene mutations in older AML patients (pts) treated intensively remains unclear. Only one study has explored the role of mutation patterns determined by NGS in older AML pts prospectively treated with various chemotherapies in years 2000-2010 (Eisfeld Leukemia 2018). Methods. Pts older than 60y enrolled in the ALFA-1200 trial (NCT01966497) between 09/2012 and 06/2016 were sequenced with a 37-gene myeloid panel. Pts received one 7+3 course followed by 2 intermediate-dose cytarabine courses. Pts with non-favorable risk were eligible for allogeneic stem cell transplantation (SCT). Variable selection for multivariate analyses was performed by lasso penalized regression including age, gender and log(WBC) as covariates. Results. Sequencing was done in 471 (93%) of the 509 enrolled pts. Median age and WBC count were 68y and 5.3x109/L, respectively (resp). CR (including CRp) was achieved in 341 (72%) pts and 90 underwent RIC-SCT in first CR. With a median follow-up of 25.4 months, median OS was 20.7 months. Pts had a median of 3 mutations (range 1-10). The 17 mostly frequently mutated genes (≥5% of pts, by decreasing frequency: DNMT3A, NPM1, TET2, ASXL1, FLT3, SRSF2, IDH2, RUNX1, NRAS, IDH1, STAG2, BCOR, TP53, PTPN11, U2AF1, EZH2 and KRAS) were retained for prognostic analyses. Genes belonging to a common pathway (eg. NRAS and KRAS) may have divergent prognostic values, preventing biology-informed grouping of mutations. Cytogenetic risk (derived from ELN 2017, Döhner Blood 2017, not considering gene mutations) was favorable (fav), intermediate (int), adverse (adv) and missing in 3%, 72%, 18% and 7% resp. Because of the few pts with fav cytogenetics in our cohort, pts were further grouped into non-adv and adv cytogenetics. CR rates and median OS were 75.6% vs 56.6% and 24.8 vs 9.5 months in pts with non-adv and adv cytogenetics, resp (both p In the 388 pts with non-adv cytogenetics, NPM1 mutations independently predicted improved CR rate (Odds Ratio [OR]=2.3, p=0.014), while mutations in ASXL1 (OR=0.46, p=0.012), RUNX1 (OR=0.46, p=0.013) and NRAS (OR=0.49, p=0.04) had independent adverse predictive value. In univariate analysis the shorter OS of FLT3-ITD pts was confined to allele ratios≥ 0.5 (FLT3-ITDhigh, p=0.02). In a multivariate analysis accounting for clinical covariates, mutations in NPM1 (Hazard Ratio [HR]=0.45, p In the 83 pts with adv cytogenetics, TP53 mutations predicted shorter OS (p=0.004). Among pts with adv cytogenetics, those without TP53 mutation had a median OS of 12.6 months and were thus classified as high risk while the median OS of the 30 pts with adv cytogenetics and TP53 mutations was only 5.4 months, defining very high risk disease. This stratification resulted in improved OS prediction compared to the full molecular ELN 2017 (C-index 0.63 vs 0.58, resp). This stratification also predicted Relapse-Free Survival (RFS, Figure, p Conclusion. In AML patients older than 60y treated intensively, mutations in 7 genes (NPM1, SRSF2, FLT3, DNMT3A, ASLX1, NRAS and TP53) can refine the prognosis of cytogenetic sub-groups. Figure Figure. Disclosures Cluzeau: MENARINI: Consultancy; CELGENE: Consultancy; JAZZ PHARMA: Consultancy.

Details

Language :
English
ISSN :
00064971 and 15280020
Database :
OpenAIRE
Journal :
Blood, Blood, 2018, 132 (1), ⟨10.1182/blood-2018-99-111144⟩
Accession number :
edsair.doi.dedup.....3f2e351ea77a02ec5ae375f765163328