Early flow cytometry-based MRD predicts relapse in intermediate-risk AML from low- and middle-income countries
Abstract
Abstract Measurable Residual Disease (MRD) monitoring by Multiparametric Flow Cytometry (MPFC) is a powerful prognostic tool in Acute Myeloid Leukemia (AML), capable of detecting residual leukemic cells beyond morphological remission. While molecular methods are restricted to cases with trackable mutations, MPFC is broadly applicable but underutilized in low- and middle-income countries due to lack of standardization. This study assessed the feasibility and clinical impact of a standardized MPFC-MRD protocol within a national consortium in Brazil. Bone marrow samples from non-APL AML 18-65 years-old patients (IC-AML2015 trial; n=226) were evaluated post-induction 1 (MRD1, n=185) and post-induction 2 (MRD2, n=160) using an 8-color MPFC panel. Leukemia-Associated Immunophenotypes (LAIPs) and “Fifferent-from-Normal” (DfN) strategies were defined using 46 reference bone marrow samples from healthy and regenerating non-myeloid controls. MRD was categorized as Positive (P, ≥0.1%), Low Positive (LP, ≥0.02 and<0.1%), or Negative (N, <0.02%). Patients were stratified by ELN2017-based risk stratification (without TP53, ASXL1 and RUNX1 assessment) and clinical endpoints included relapse-free survival (RFS) and cumulative incidence of relapse (CIR), analyzed by Kaplan-Meier and Cox regression. Included patients had a median age of 49 years-old [47–51 CI] and were treated uniformly with induction 1: daunorubicin (60 mg/m², days 1–3) and cytarabine (200 mg/m², days 1–7); induction 2: daunorubicin (60 mg/m², days 1–3) and cytarabine (1 g/m², twice daily, days 1–6); consolidation was 1-2 cycles of intermediate-doses of cytarabine (1 g/m², twice daily, days 1–6) and/or autologous BM transplantation, per clinical judgment. All MRD analyses were centralized at Ribeirao Preto Medical School Flow Cytometry Lab using FACS Canto II standard procedures and a FlowJo-based analysis pipeline designed specifically for the proposed protocol. Reference samples established empty gates for LAIP-based-DfN identification, applied longitudinally across diagnostic and follow-up samples. The antibody panel included CD45, CD34, CD117 and CD33 as backbone antigens as well as differentiation and leukemic stem cell markers. A consensus tube containing a combination of markers (HLA-DR/CD13/CD7/CD56) to assess maturation discrepancies and the most frequent aberrant markers were applied to all cases regardless of the diagnostic phenotype. MPFC-MRD analysis was feasible in 93–97% of samples, with low rejection due to hemodilution or poor cellularity (3.1% MRD1; 2.4% MRD2). The consensus tube captured up to 86% of MRD+ samples. Among MRD+ cases, 73% were detected by the diagnostic LAIPs and 27% identified by DfN. MRD positivity was found in 21% of patients at MRD1 and 12.5% at MRD2. Immunophenotypic profiles varied by risk group; intermediate-risk patients often exhibited CD117+/CD34var/CD56+ and CD34+/CD33wk/CD13+ patterns. Using a 0.02% MRD threshold, MRD was significantly associated with poorer RFS (MRD1, p=0.038; MRD2, p=0.0014) and higher CIR (MRD2, p=0.0042). Stratified analysis confirmed prognostic relevance of MRD ≥0.02% (Low Positive) in intermediate-risk patients (MRD1 RFS, p=0.0064; MRD2 RFS, p=0.0034); no significant impact was observed in the favorable-risk group. Sequential monitoring showed that persistent Low Positive MRD after both induction cycles conferred the poorest outcomes, and MRD clearance by MRD2 was linked to improved RFS. Multivariate Cox models confirmed MRD as an independent prognostic factor for RFS in intermediate-risk patients (MRD1 HR=8.64; MRD2 HR=7.63, p<0.05), but not in favorable-risk individuals. Age ≥40 years was also an adverse factor. These findings underscore the clinical relevance of deep early MRD clearance in improving outcomes. MPFC-based MRD assessment in AML patients using a single centralized protocol was feasible, reproducible, and clinically informative in the IC-AML study. Standardized treatment and MRD workflows minimized variability and enabled a robust analysis. A lower MRD threshold (≥0.02%) was able to predict relapse. These results support the integration of harmonized MPFC-MRD protocols into routine AML management, particularly in settings where molecular testing is limited.
Article Details
Authors (27)
Leticia Marani
1Department of Medical Imaging, Hematology, and Clinical Oncology, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto, Sao Paulo, Brazil, Ribeirão Preto, Brazil
Maria Isabel Ayrosa Madeira
1Department of Medical Imaging, Hematology, and Clinical Oncology, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto, Sao Paulo, Brazil, Ribeirão Preto, Brazil
Amanda Costa
1University of Alabama, Birmingham, Birmingham, United States
Priscilla Santos
1Department of Medical Imaging, Hematology, and Clinical Oncology, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto, Sao Paulo, Brazil, Ribeirão Preto, Brazil
Josiane Lilian Schivinato
1Department of Medical Imaging, Hematology, and Clinical Oncology, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto, Sao Paulo, Brazil, Ribeirão Preto, Brazil
Ana Silvia Gouvea de Lima
1Department of Medical Imaging, Hematology, and Clinical Oncology, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto, Sao Paulo, Brazil, Ribeirão Preto, Brazil
Fernanda Borges
1Department of Medical Imaging, Hematology, and Clinical Oncology, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto, Sao Paulo, Brazil, Ribeirão Preto, Brazil
César Alexander Ortiz Rojas
1University of São Paulo, Hematology Division, São Paulo, Brazil
Katia Pagnano
4Universidade Estadual de Campinas, Hematology, Campinas, Brazil
Bruno Duarte
3Hematology and Hemotherapy Center, Centro de Hematologia e Hemoterapia, University of Campinas, Campinas, Brazil, Campinas, Brazil
Wellington Fernandes da Silva Junior
7Instituto do Cancer do Estado de Sao Paulo, Hospital das Clinicas da Faculdade de Medicina da Universidade de Sao Paulo, São Paulo, Brazil
Ana Beatriz Firmato Gloria
4Hematology Division, Federal University of Minas Gerais, Belo Horizonte, Brazil, Belo Horizonte, Brazil
Evandro Maranhão Fagundes
6Hematology Division, Federal University of Minas Gerais, Belo Horizonte, Brazil, Belo Horizonte, Brazil
Elenaide Nunes
5Hematology Division, Federal University of Paraná, Curitiba, Brazil, Curitiba, Brazil
Marcia Higashi
6Amaral Carvalho Hospital, Jau, SP, Brazil, Jau, Brazil
Rosane Bittencourt
9Hematology Division, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
Elisa Fraga
10Department of Hematology, Santa Casa Hospital, Porto Alegre, Brazil, Porto Alegre, Brazil
Arnold Ganser
8Department of Hematology, Hemostasis, Oncology and Stem Cell Transplantation, Hannover Medical School, Hannover, Germany
Bob Lowenberg
14Erasmus University Medical Center, Rotterdam, Netherlands
Martin Tallman
5Memorial Sloan Kettering Cancer Center, New York, United States
Nancy Berliner
1Department of Hematology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
Peter Valk
6Erasmus MC, Rotterdam, Netherlands
Richard Dillon
5King's College London, London, United Kingdom
Fabiola Traina
1Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
Eduardo Rego
Sylvie Freeman
4University of Birmingham, College of Medicine and Health, Birmingham, United Kingdom
Lorena Figueiredo-Pontes
1Department of Medical Imaging, Hematology, and Clinical Oncology, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto, Sao Paulo, Brazil, Ribeirão Preto, Brazil