Associated Papers
Proteomic subtypes enrich current acute myeloid leukemia nomenclature and reflect intrinsic pathogenesis alongside aging.
Cheng WY et al.
Blood, 2025
40829168 (PubMed )
Supplement: BLOOD_BLD-2024-027692-mmc5.xlsx › Sheet_1
Comparative analysis of the Mexico City Prospective Study and the UK Biobank identifies ancestry-specific effects on clonal hematopoiesis.
Wen S et al.
Nature Genetics, 2025
39948438 (PubMed )
Supplement: 41588_2025_2085_MOESM4_ESM.xlsx › ST_5
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
appreci8: a pipeline for precise variant calling integrating 8 tools.
Sandmann S et al.
Bioinformatics (oxford, England), 2018
29945233 (PubMed )
Supplement: bty518_supplementary_data_s4.xlsx › TN_Mutations_Filter_1
Distinct age-associated molecular profiles in acute myeloid leukemia defined by comprehensive clinical genomic profiling.
Tarlock K et al.
Oncotarget, 2018
29899868 (PubMed )
Supplement: oncotarget-09-26417-s005.xlsx › genomics
Overlap at the molecular and immunohistochemical levels between angioimmunoblastic T-cell lymphoma and a subgroup of peripheral T-cell lymphomas without specific morphological features.
Manso R et al.
Oncotarget, 2018
29662631 (PubMed )
Supplement: oncotarget-09-16124-s002.xls › Supplementary_Table_3
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