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References from Data-driven flow cytometry classification of blast differentiation in older patients with acute myeloid leukemia. Local targets link to admitted publications; unresolved targets remain external evidence.
Diagnosis and management of AML in adults: 2017 ELN recommendations from an international expert panel
10.1182/blood-2016-08-733196 · 2017 · External reference
The 5th edition of the World Health Organization classification of haematolymphoid tumours: myeloid and histiocytic/dendritic neoplasms
10.1038/s41375-022-01613-1 · 2022 · External reference
International Consensus classification of myeloid neoplasms and acute leukemias: integrating morphologic, clinical, and genomic data
10.1182/blood.2022015850 · 2022 · External reference
Diagnosis and management of AML in adults: 2022 recommendations from an international expert panel on behalf of the ELN
10.1182/blood.2022016867 · 2022 · External reference
Plasmacytoid dendritic cell expansion defines a distinct subset of RUNX1-mutated acute myeloid leukemia
10.1182/blood.2020007897 · 2021 · External reference
Phenotypically-defined stages of leukemia arrest predict main driver mutations subgroups, and outcome in acute myeloid leukemia
10.1038/s41408-022-00712-7 · 2022 · External reference
Single-cell RNA-seq reveals AML hierarchies relevant to disease progression and immunity
10.1016/j.cell.2019.01.031 · 2019 · External reference
A cellular hierarchy framework for understanding heterogeneity and predicting drug response in acute myeloid leukemia
10.1038/s41591-022-01819-x · 2022 · External reference
A phase 3 trial of azacitidine versus a semi-intensive fludarabine and cytarabine schedule in older patients with untreated acute myeloid leukemia
10.1002/cncr.33403 · 2021 · External reference
EuroFlow antibody panels for standardized n-dimensional flow cytometric immunophenotyping of normal, reactive and malignant leukocytes
10.1038/leu.2012.120 · 2012 · External reference
The mutational landscape of acute myeloid leukaemia predicts responses and outcomes in elderly patients from the PETHEMA-FLUGAZA Phase 3 Clinical Trial
10.3390/cancers13102458 · 2021 · External reference
Massively parallel single-cell RNA-seq for marker-free decomposition of tissues into cell types
10.1126/science.1247651 · 2014 · External reference
Innate immune landscape in early lung adenocarcinoma by paired single-cell analyses
10.1016/j.cell.2017.04.014 · 2017 · External reference
Venetoclax with azacitidine disrupts energy metabolism and targets leukemia stem cells in patients with acute myeloid leukemia
10.1038/s41591-018-0233-1 · 2018 · External reference
Monocytic subclones confer resistance to venetoclax-based therapy in patients with acute myeloid leukemia
10.1158/2159-8290.cd-19-0710 · 2020 · External reference
RUNX1 mutations in acute myeloid leukemia are associated with distinct clinico-pathologic and genetic features
10.1038/leu.2016.126 · 2016 · External reference
Comprehensive integration of single-cell data
10.1016/j.cell.2019.05.031 · 2019 · External reference
The Human Cell Atlas bone marrow single-cell interactive web portal
10.1016/j.exphem.2018.09.004 · 2018 · External reference
Integrated single-cell analysis maps the continuous regulatory landscape of human hematopoietic differentiation
10.1016/j.cell.2018.03.074 · 2018 · External reference
Identification of the thyrotropin-releasing hormone (TRH) as a novel biomarker in the prognosis for acute myeloid leukemia
10.3390/biom12101359 · 2022 · External reference