Phenotypically-defined stages of leukemia arrest predict main driver mutations subgroups, and outcome in acute myeloid leukemia.
François VergezLaetitia LargeaudSarah BertoliMarie-Laure NicolauJean Baptiste RieuInès VergnolleEstelle SalandAudrey SarrySuzanne TavitianFrançoise HuguetMuriel PicardJean-Philippe VialNicolas LechevalierAudrey BidetPierre-Yves DumasArnaud PigneuxIsabelle LuquetVéronique De MasEric DelabesseMartin CarrollGwenn Danet-DesnoyersJean-Emmanuel SarryChristian RecherPublished in: Blood cancer journal (2022)
Classifications of acute myeloid leukemia (AML) patients rely on morphologic, cytogenetic, and molecular features. Here we have established a novel flow cytometry-based immunophenotypic stratification showing that AML blasts are blocked at specific stages of differentiation where features of normal myelopoiesis are preserved. Six stages of leukemia differentiation-arrest categories based on CD34, CD117, CD13, CD33, MPO, and HLA-DR expression were identified in two independent cohorts of 2087 and 1209 AML patients. Hematopoietic stem cell/multipotent progenitor-like AMLs display low proliferation rate, inv(3) or RUNX1 mutations, and high leukemic stem cell frequency as well as poor outcome, whereas granulocyte-monocyte progenitor-like AMLs have CEBPA mutations, RUNX1-RUNX1T1 or CBFB-MYH11 translocations, lower leukemic stem cell frequency, higher chemosensitivity, and better outcome. NPM1 mutations correlate with most mature stages of leukemia arrest together with TET2 or IDH mutations in granulocyte progenitors-like AML or with DNMT3A mutations in monocyte progenitors-like AML. Overall, we demonstrate that AML is arrested at specific stages of myeloid differentiation (SLA classification) that significantly correlate with AML genetic lesions, clinical presentation, stem cell properties, chemosensitivity, response to therapy, and outcome.
Keyphrases
- acute myeloid leukemia
- stem cells
- allogeneic hematopoietic stem cell transplantation
- end stage renal disease
- transcription factor
- ejection fraction
- flow cytometry
- newly diagnosed
- peripheral blood
- chronic kidney disease
- dendritic cells
- dna methylation
- machine learning
- peritoneal dialysis
- hematopoietic stem cell
- heart failure
- endothelial cells
- signaling pathway
- mesenchymal stem cells
- acute lymphoblastic leukemia
- immune response
- patient reported outcomes
- single molecule