Effect of age and treatment on predictive value of measurable residual disease: implications for clinical management of adult patients with acute myeloid leukemia
Francesco Mannelli,
Matteo Piccini,
Sara Bencini,
Giacomo Gianfaldoni,
Benedetta Peruzzi,
Roberto Caporale,
Barbara Scappini,
Laura Fasano,
Elisa Quinti,
Gaia Ciolli,
Andrea Pasquini,
Francesca Crupi,
Sofia Pilerci,
Fabiana Pancani,
Leonardo Signori,
Danilo Tarantino,
Chiara Maccari,
Vivian Paradiso,
Francesco Annunziato,
Paola Guglielmelli,
Alessandro M. Vannucchi
Affiliations
Francesco Mannelli
SOD Ematologia, Università di Firenze, AOU Careggi, Firenze, Italy; Centro Ricerca e Innovazione Malattie Mieloproliferative (CRIMM), AOU Careggi, Firenze
Matteo Piccini
SOD Ematologia, Università di Firenze, AOU Careggi, Firenze
Sara Bencini
Centro Diagnostico di Citofluorimetria e Immunoterapia, AOU Careggi, Firenze
Giacomo Gianfaldoni
SOD Ematologia, Università di Firenze, AOU Careggi, Firenze
Benedetta Peruzzi
Centro Diagnostico di Citofluorimetria e Immunoterapia, AOU Careggi, Firenze
Roberto Caporale
Centro Diagnostico di Citofluorimetria e Immunoterapia, AOU Careggi, Firenze
Barbara Scappini
SOD Ematologia, Università di Firenze, AOU Careggi, Firenze
Laura Fasano
SOD Ematologia, Università di Firenze, AOU Careggi, Firenze
Elisa Quinti
SOD Ematologia, Università di Firenze, AOU Careggi, Firenze
Gaia Ciolli
SOD Ematologia, Università di Firenze, AOU Careggi, Firenze
Andrea Pasquini
SOD Ematologia, Università di Firenze, AOU Careggi, Firenze
Francesca Crupi
SOD Ematologia, Università di Firenze, AOU Careggi, Firenze
Sofia Pilerci
SOD Ematologia, Università di Firenze, AOU Careggi, Firenze
Fabiana Pancani
SOD Ematologia, Università di Firenze, AOU Careggi, Firenze, Italy; Centro Ricerca e Innovazione Malattie Mieloproliferative (CRIMM), AOU Careggi, Firenze
Leonardo Signori
SOD Ematologia, Università di Firenze, AOU Careggi, Firenze, Italy; Centro Ricerca e Innovazione Malattie Mieloproliferative (CRIMM), AOU Careggi, Firenze
Danilo Tarantino
SOD Ematologia, Università di Firenze, AOU Careggi, Firenze, Italy; Centro Ricerca e Innovazione Malattie Mieloproliferative (CRIMM), AOU Careggi, Firenze
Chiara Maccari
SOD Ematologia, Università di Firenze, AOU Careggi, Firenze, Italy; Centro Ricerca e Innovazione Malattie Mieloproliferative (CRIMM), AOU Careggi, Firenze
Vivian Paradiso
SOD Ematologia, Università di Firenze, AOU Careggi, Firenze
Francesco Annunziato
Centro Diagnostico di Citofluorimetria e Immunoterapia, AOU Careggi, Firenze
Paola Guglielmelli
SOD Ematologia, Università di Firenze, AOU Careggi, Firenze, Italy; Centro Ricerca e Innovazione Malattie Mieloproliferative (CRIMM), AOU Careggi, Firenze
Alessandro M. Vannucchi
SOD Ematologia, Università di Firenze, AOU Careggi, Firenze, Italy; Centro Ricerca e Innovazione Malattie Mieloproliferative (CRIMM), AOU Careggi, Firenze
Measurable residual disease (MRD) is a powerful predictor of outcome in acute myeloid leukemia. In the early phases of treatment, MRD refines initial disease risk stratification and is used for the allocation to allogeneic transplant. Despite its well-established role, a relatively high fraction of patients eventually relapses albeit achieving MRDneg status. The aim of this work was to assess specifically the influence of baseline features and treatment intensity on the predictive value of an MRDneg status, particularly focusing on MRD2, measured after two consecutive chemotherapy cycles. Among baseline features, younger MRD2neg patients (<55 years) had a significantly longer disease-free survival (median not reached) compared to their older counterparts (median 25.0 months, P=0.013, hazard ratio=2.08). Treatment intensity, specifically the delivery of a high dose of cytarabine in induction or first consolidation, apparently had a pejorative effect on the outcome of MRD2neg patients compared to standard dose (P=0.048, hazard ratio=1.80), a finding also confirmed by the analysis of data extracted from the literature. The combination of age and treatment intensity allowed us to identify categories of patients, among those who reached a MRD2neg status, characterized by significantly different disease-free survival rate. Our data showed that variables such as age and intensity of treatment administered can influence the predictive value of MRD in patients with acute myeloid leukemia. In addition to underscoring the need for further improvement of MRD analysis, these findings call for a reasoned application of MRD data, as currently available, to modulate consolidation therapy on adequately estimated relapse rates.