ArticleScientific reports2018
Mathematical modeling of the impact of cytokine response of acute myeloid leukemia cells on patient prognosis.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed.
- Modeling the evolutionary dynamics of clonal hematopoiesis.Nature genetics · 2026Review
- Exploring innovative G-CSF schedules in AML cytarabine-based consolidation through a digital twin study of white blood cell recovery.PloS one · 2026Article
- Predicting the Regulatory Dynamics of AML Disease Progression from Longitudinal Multi-Modal Clinical Data.Journal of medical systems · 2025Article
- Digital twin models for predicting venetoclax and azacitidine-induced neutropenia in patients with acute myeloid leukemia.NPJ digital medicine · 2025Article
- Modelling post-chemotherapy stem cell dynamics in the bone marrow niche of AML patients.Scientific reports · 2024Article
- Computational modeling reveals key factors driving treatment-free remission in chronic myeloid leukemia patients.NPJ systems biology and applications · 2024Article
- Stem cell graft dose and composition could impact on the expansion of donor-derived clones after allogeneic hematopoietic stem cell transplantation - a virtual clinical trial.Frontiers in immunology · 2024Article
- AML consolidation therapy: timing matters.Journal of cancer research and clinical oncology · 2023Article
- Predictive nonlinear modeling of malignant myelopoiesis and tyrosine kinase inhibitor therapy.eLife · 2023Article
- HSC Niche Dynamics in Regeneration, Pre-malignancy, and Cancer: Insights From Mathematical Modeling.Stem cells (Dayton, Ohio) · 2023Article
- An integrative systems biology approach to overcome venetoclax resistance in acute myeloid leukemia.PLoS computational biology · 2022Article
- Spatial dynamics of feedback and feedforward regulation in cell lineages.PLoS computational biology · 2022Article
- Targeting TKI-Activated NFKB2-MIF/CXCLs-CXCR2 Signaling Pathways in FLT3 Mutated Acute Myeloid Leukemia Reduced Blast Viability.Biomedicines · 2022Article
- Local asymptotic stability of a system of integro-differential equations describing clonal evolution of a self-renewing cell population under mutation.Journal of mathematical biology · 2022Article
- Comparison of Predator-Prey Model and Hawk-Dove Game for Modelling Leukemia.Computational intelligence and neuroscience · 2022Article
- Clinically Relevant Oxygraphic Assay to Assess Mitochondrial Energy Metabolism in Acute Myeloid Leukemia Patients.Cancers · 2021Article
- Multistage hematopoietic stem cell regulation in the mouse: A combined biological and mathematical approach.iScience · 2021Article
- Effect of feedback regulation on stem cell fractions in tissues and tumors: Understanding chemoresistance in cancer.Journal of theoretical biology · 2021Article
- Computational Reconstruction of Clonal Hierarchies From Bulk Sequencing Data of Acute Myeloid Leukemia Samples.Frontiers in physiology · 2021Article
- Differential response to cytotoxic therapy explains treatment dynamics of acute myeloid leukaemia patients: insights from a mathematical modelling approach.Journal of the Royal Society, Interface · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.