Mathematical modeling of the impact of cytokine response of acute myeloid leukemia cells on patient prognosis
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 evidenc...
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| Hauptverfasser: | , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
12 February 2018
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| In: |
Scientific reports
Year: 2018, Jahrgang: 8 |
| ISSN: | 2045-2322 |
| DOI: | 10.1038/s41598-018-21115-4 |
| Online-Zugang: | Resolving-System, kostenfrei, Volltext: http://dx.doi.org/10.1038/s41598-018-21115-4 Verlag, kostenfrei, Volltext: https://www.nature.com/articles/s41598-018-21115-4 
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| Verfasserangaben: | Thomas Stiehl, Anthony D. Ho & Anna Marciniak-Czochra |
| Zusammenfassung: | 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. |
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| Beschreibung: | Gesehen am 18.12.2018 |
| Beschreibung: | Online Resource |
| ISSN: | 2045-2322 |
| DOI: | 10.1038/s41598-018-21115-4 |