ArticleTheoretical biology & medical modelling2011
Non-stem cancer cell kinetics modulate solid tumor progression.
Article in Theoretical biology & medical modelling, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Gaps and paths forward in cancer pharmacology and translational research.Frontiers in pharmacology · 2026Review
- SMoRe ParS: A novel methodology for bridging modeling modalities and experimental data applied to 3D vascular tumor growth.Frontiers in molecular biosciences · 2022Article
- Inferring Tumor Proliferative Organization from Phylogenetic Tree Measures in a Computational Model.Systematic biology · 2020Article
- Dynamic Load Balancing Strategy for Parallel Tumor Growth Simulations.Journal of integrative bioinformatics · 2019Article
- The clinical value of patient-derived glioblastoma tumorspheres in predicting treatment response.Neuro-oncology · 2017Article
- Stem Cell Plasticity and Niche Dynamics in Cancer Progression.IEEE transactions on bio-medical engineering · 2017Article
- Somatostatin signaling via SSTR1 contributes to the quiescence of colon cancer stem cells.BMC cancer · 2016Article
- In silico study of the impact of cancer stem cell dynamics and radiobiological hypoxia on tumour response to hyperfractionated radiotherapy.Cell proliferation · 2016Article
- Cancer Stem Cell Plasticity as Tumor Growth Promoter and Catalyst of Population Collapse.Stem cells international · 2016Article
- Evolution and phenotypic selection of cancer stem cells.PLoS computational biology · 2015Article
- Treatment Analysis in a Cancer Stem Cell Context Using a Tumor Growth Model Based on Cellular Automata.PloS one · 2015Article
- A multicompartment mathematical model of cancer stem cell-driven tumor growth dynamics.Bulletin of mathematical biology · 2014Article
- Mathematical modeling of PDGF-driven glioblastoma reveals optimized radiation dosing schedules.Cell · 2014Article
- A High-Performance Cellular Automaton Model of Tumor Growth with Dynamically Growing Domains.Applied mathematics · 2014Article
- A mathematical-biological joint effort to investigate the tumor-initiating ability of Cancer Stem Cells.PloS one · 2014Article
- Microenvironmental variables must influence intrinsic phenotypic parameters of cancer stem cells to affect tumourigenicity.PLoS computational biology · 2014Article
- Acute and fractionated irradiation differentially modulate glioma stem cell division kinetics.Cancer research · 2013Article
- Nonlinear growth kinetics of breast cancer stem cells: implications for cancer stem cell targeted therapy.Scientific reports · 2013Article
- Ovarian tumor attachment, invasion, and vascularization reflect unique microenvironments in the peritoneum: insights from xenograft and mathematical models.Frontiers in oncology · 2013Article
- Cancer Stem Cells: A Minor Cancer Subpopulation that Redefines Global Cancer Features.Frontiers in oncology · 2013Article
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4 authors.
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Abstract
backgroundSolid tumors are heterogeneous in composition. Cancer stem cells (CSCs) are believed to drive tumor progression, but the relative frequencies of CSCs versus non-stem cancer cells span wide ranges even within tumors arising from the same tissue type. Tumor growth kinetics and composition can be studied through an agent-based cellular automaton model using minimal sets of biological assumptions and parameters. Herein we describe a pivotal role for the generational life span of non-stem cancer cells in modulating solid tumor progression in silico.
resultsWe demonstrate that although CSCs are necessary for progression, their expansion and consequently tumor growth kinetics are surprisingly modulated by the dynamics of the non-stem cancer cells. Simulations reveal that slight variations in non-stem cancer cell proliferative capacity can result in tumors with distinctly different growth kinetics. Longer generational life spans yield self-inhibited tumors, as the emerging population of non-stem cancer cells spatially impedes expansion of the CSC compartment. Conversely, shorter generational life spans yield persistence-limited tumors, with symmetric division frequency of CSCs determining tumor growth rate. We show that the CSC fraction of a tumor population can vary by multiple orders of magnitude as a function of the generational life span of the non-stem cancer cells.
conclusionsOur study suggests that variability in the growth rate and CSC content of solid tumors may be, in part, attributable to the proliferative capacity of the non-stem cancer cell population that arises during asymmetric division of CSCs. In our model, intermediate proliferative capacities give rise to the fastest-growing tumors, resulting in self-metastatic expansion driven by a balance between symmetric CSC division and expansion of the non-stem cancer population. Our results highlight the importance of non-stem cancer cell dynamics in the CSC hypothesis, and may offer a novel explanation for the large variations in CSC fractions reported in vivo.
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