Associated Papers
Aging and comprehensive molecular profiling in acute myeloid leukemia.
Li JF et al.
Proceedings of the National Academy of Sciences of the United States of America, 2024
38422020 (PubMed )
Supplement: pnas.2319366121.sd02.xlsx › Sheet_1
Transcriptome-based molecular subtypes and differentiation hierarchies improve the classification framework of acute myeloid leukemia.
Cheng WY et al.
Proceedings of the National Academy of Sciences of the United States of America, 2022
36442087 (PubMed )
Supplement: pnas.2211429119.sd02.xlsx › snv_indel
Compartment-specific mutational landscape of clonal hematopoiesis.
Hartmann L et al.
Leukemia, 2022
36131041 (PubMed )
Supplement: 41375_2022_1700_MOESM1_ESM.pdf
Integrative Genomic Analysis of Pediatric Myeloid-Related Acute Leukemias Identifies Novel Subtypes and Prognostic Indicators.
Fornerod M et al.
Blood Cancer Discovery, 2021
34778799 (PubMed )
Supplement: bloodcandisc-2-586-s001.xlsx › Supplementary_Table_12
Double CEBPA mutations are prognostically favorable in non-M3 acute myeloid leukemia patients with wild-type NPM1 and FLT3-ITD.
Wen XM et al.
International Journal of Clinical and Experimental Pathology, 2014
CEBPA single mutation can be a possible favorable prognostic indicator in NPM1 and FLT3-ITD wild-type acute myeloid leukemia patients with intermediate cytogenetic risk.
Park SH et al.
Leukemia Research, 2013
Prognostic significance of CEBPA mutations in a large cohort of younger adult patients with acute myeloid leukemia: impact of double CEBPA mutations and the interaction with FLT3 and NPM1 mutations.
Green CL et al.
Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology, 2010
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