ArticleBone marrow transplantation2014
The impact of CD34+ cell dose on engraftment after SCTs: personalized estimates based on mathematical modeling.
Article in Bone marrow transplantation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
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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.
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Who cites it
24 citing papers in PubMed.
- A higher number of infused CD34(+) cells has a positive impact on the clinical outcome after related PBSC transplantation.Bone marrow transplantation · 2014Trial
- Predicting the Regulatory Dynamics of AML Disease Progression from Longitudinal Multi-Modal Clinical Data.Journal of medical systems · 2025Article
- Modelling post-chemotherapy stem cell dynamics in the bone marrow niche of AML patients.Scientific reports · 2024Article
- Dynamically adjusted cell fate decisions and resilience to mutant invasion during steady-state hematopoiesis revealed by an experimentally parameterized mathematical model.Proceedings of the National Academy of Sciences of the United States of America · 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
- HSC Niche Dynamics in Regeneration, Pre-malignancy, and Cancer: Insights From Mathematical Modeling.Stem cells (Dayton, Ohio) · 2023Article
- Comparison of cell state models derived from single-cell RNA sequencing data: graph versus multi-dimensional space.Mathematical biosciences and engineering : MBE · 2022Article
- R4 RGS proteins suppress engraftment of human hematopoietic stem/progenitor cells by modulating SDF-1/CXCR4 signaling.Blood advances · 2021Article
- Oscillations in a white blood cell production model with multiple differentiation stages.Journal of mathematical biology · 2020Article
- A structured population model of clonal selection in acute leukemias with multiple maturation stages.Journal of mathematical biology · 2019Article
- Stability analysis of a state-dependent delay differential equation for cell maturation: analytical and numerical methods.Journal of mathematical biology · 2019Article
- Mutation, drift and selection in single-driver hematologic malignancy: Example of secondary myelodysplastic syndrome following treatment of inherited neutropenia.PLoS computational biology · 2019Article
- Modeling large fluctuations of thousands of clones during hematopoiesis: The role of stem cell self-renewal and bursty progenitor dynamics in rhesus macaque.PLoS computational biology · 2018Article
- Mathematical modeling of the impact of cytokine response of acute myeloid leukemia cells on patient prognosis.Scientific reports · 2018Article
- Clonal dominance and transplantation dynamics in hematopoietic stem cell compartments.PLoS computational biology · 2017Article
- Determining the control networks regulating stem cell lineages in colonic crypts.Journal of theoretical biology · 2017Article
- Reduced hematopoietic stem cell frequency predicts outcome in acute myeloid leukemia.Haematologica · 2017Article
- An Integrative multi-lineage model of variation in leukopoiesis and acute myelogenous leukemia.BMC systems biology · 2017Article
- Emergence of heterogeneity in acute leukemias.Biology direct · 2016Article
- Mass concentration in a nonlocal model of clonal selection.Journal of mathematical biology · 2016Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It is known that the number of transplanted cells has a significant impact on the outcome after SCT. We identify issues that cannot be addressed by conventional analysis of clinical trials and ask whether it is possible to develop a refined analysis to conclude about the outcome of individual patients given clinical trial results. To accomplish this, we propose an interdisciplinary approach based on mathematical modeling. We devise and calibrate a mathematical model of short-term reconstitution and simulate treatment of large patient groups with random interindividual variation. Relating model simulations to clinical data allows quantifying the effect of transplant size on reconstitution time in the terms of patient populations and individual patients. The model confirms the existence of lower bounds on cell dose necessary for secure and efficient reconstitution but suggests that for some patient subpopulations higher thresholds might be appropriate. Simulations demonstrate that relative time gain because of increased cell dose is an 'interpersonally stable' parameter, in other words that slowly engrafting patients profit more from transplant enlargements than average cases. We propose a simple mathematical formula to approximate the effect of changes of transplant size on reconstitution time.
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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.