Prognostic Impact of Unsupervised Early Assessment of Bulk and Leukemic Stem Cell Measurable Residual Disease in Acute Myeloid Leukemia

Autor: Alban Canali, Inès Vergnolle, Sarah Bertoli, Laetitia Largeaud, Marie-Laure Nicolau, Jean-Baptiste Rieu, Suzanne Tavitian, Françoise Huguet, Muriel Picard, Pierre Bories, Jean Philippe Vial, Nicolas Lechevalier, Marie Christine Béné, Isabelle Luquet, Véronique Mansat-De Mas, Eric Delabesse, Christian Récher, François Vergez
Rok vydání: 2022
Předmět:
Zdroj: Clinical Cancer Research. 29:134-142
ISSN: 1557-3265
1078-0432
DOI: 10.1158/1078-0432.ccr-22-2237
Popis: Purpose: Acute myeloid leukemias (AML) are clonal diseases that develop from leukemic stem cells (LSC) that carry an independent prognostic impact on the initial response to induction chemotherapy, demonstrating the clinical relevance of LSC abundance in AML. In 2018, the European LeukemiaNet published recommendations for the detection of measurable residual disease (Bulk MRD) and suggested the exploration of LSC MRD and the use of multiparametric displays. Experimental Design: We evaluated the performance of unsupervised clustering for the post-induction assessment of bulk and LSC MRD in 155 patients with AML who received intensive conventional chemotherapy treatment. Results: The median overall survival (OS) for Bulk+ MRD patients was 16.7 months and was not reached for negative patients (HR, 3.82; P < 0.0001). The median OS of LSC+ MRD patients was 25.0 months and not reached for negative patients (HR, 2.84; P = 0.001). Interestingly, 1-year (y) and 3-y OS were 60% and 39% in Bulk+, 91% and 52% in Bulk-LSC+ and 92% and 88% in Bulk-LSC−. Conclusions: In this study, we confirm the prognostic impact of post-induction multiparametric flow cytometry Bulk MRD in patients with AML. Focusing on LSCs, we identified a group of patients with negative Bulk MRD but positive LSC MRD (25.8% of our cohort) with an intermediate prognosis, demonstrating the interest of MRD analysis focusing on leukemic chemoresistant subpopulations.
Databáze: OpenAIRE