Associated Papers
Mutation Patterns Predict Drug Sensitivity in Acute Myeloid Leukemia.
Qin G et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research, 2024
38619278 (PubMed )
Supplement: ccr-23-1674_supplementary_table_s1-s14_suppts1.xlsx › TableS2_Var_AF0.01
Establishment and validation of a gene mutation-based risk model for predicting prognosis and therapy response in acute myeloid leukemia.
Liu Y et al.
Heliyon, 2024
38831838 (PubMed )
Supplement: mmc3.xlsx › Sheet1
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
The clinical mutatome of core binding factor leukemia.
Opatz S et al.
Leukemia, 2020
31896782 (PubMed )
Supplement: 41375_2019_697_MOESM1_ESM.pdf
Functional Properties of KIT Mutations Are Associated with Differential Clinical Outcomes and Response to Targeted Therapeutics in CBF Acute Myeloid Leukemia.
Tarlock K et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research, 2019
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