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• W2805733506 abstract "Abstract Acute myeloid leukemia (AML) is a heterogeneous disease. One reason for the heterogeneity may originate from inter-individual differences in the responses of leukemic cells to endogenous cytokines. On the basis of mathematical modeling, computer simulations and patient data, we have provided evidence that cytokine-independent leukemic cell proliferation may be linked to early relapses and poor overall survival. Depending whether the model of cytokine-dependent or cytokine-independent leukemic cell proliferation fits to the clinical data, patients can be assigned to two groups that differ significantly with respect to overall survival. The modeling approach further enables us to identify parameter constellations that can explain unexpected responses of some patients to external cytokines such as blast crisis or remission without chemotherapy." @default.
• W2805733506 created "2018-06-13" @default.
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• W2805733506 date "2018-02-12" @default.
• W2805733506 modified "2023-10-18" @default.
• W2805733506 title "Mathematical modeling of the impact of cytokine response of acute myeloid leukemia cells on patient prognosis" @default.
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• W2805733506 doi "https://doi.org/10.1038/s41598-018-21115-4" @default.
• W2805733506 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5809606" @default.
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• W2805733506 hasPublicationYear "2018" @default.
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