Immunophenotypic clustering in paediatric acute myeloid leukaemia.
Hui LiuKefei WuWenting HuXiaoxiao ChenYanjing TangYani MaChangcheng ChenYangyang XieLisha YuJun HuangShuhong ShenXiang WangPublished in: British journal of haematology (2024)
Acute myeloid leukaemia (AML) is a highly heterogeneous disease, exhibiting diverse subtypes according to the characteristics of tumour cells. The immunophenotype is one of the aspects acquired routinely through flow cytometry in the diagnosis of AML. Here, we characterized the antigen expression in paediatric AML cases across both morphological and molecular genetic subgroups. We discovered a subgroup of patients with unfavourable prognosis that can be immunologically characterized, irrespective of morphological FAB results or genetic aberrations. Cox regression analysis unveiled key antigens influencing the prognosis of AML patients. In terms of underlying genotypes, we observed that the antigenic profiles and outcomes of one specific group, primarily composed of CBFA2T3::GLIS2 and FUS::ERG, were analogous to the reported RAM phenotype. Overall, our data highlight the significance of immunophenotype to tailor treatment for paediatric AML.
Keyphrases
- acute myeloid leukemia
- allogeneic hematopoietic stem cell transplantation
- flow cytometry
- intensive care unit
- liver failure
- emergency department
- copy number
- respiratory failure
- end stage renal disease
- ejection fraction
- newly diagnosed
- induced apoptosis
- drug induced
- bone marrow
- prognostic factors
- electronic health record
- aortic dissection
- immune response
- patient reported outcomes
- rna seq
- single cell
- combination therapy
- metabolic syndrome
- deep learning
- weight loss
- cell proliferation
- signaling pathway
- acute respiratory distress syndrome
- extracorporeal membrane oxygenation
- cell death
- single molecule
- machine learning
- double blind