ArticlePloS one2014
Nonequilibrium population dynamics of phenotype conversion of cancer cells.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- Sequential transcriptional waves and NF-κB-driven chromatin remodeling direct drug-induced dedifferentiation in cancer.Nature communications · 2026Article
- Cell State Transitions Drive the Evolution of Disease Progression in B-Lymphoblastic Leukemia.Cancer research communications · 2026Article
- The unsolvable problem of traumatic brain injury (or how to stop wasting money in fruitless research).Surgical neurology international · 2026Review
- Inheritable cell-states shape drug-persister correlations and population dynamics in cancer cells.PLoS computational biology · 2025Article
- Article
- Cell Population Growth Kinetics in the Presence of Stochastic Heterogeneity of Cell Phenotype.ArXiv · 2023Article
- Statistical inference of the rates of cell proliferation and phenotypic switching in cancer.Journal of theoretical biology · 2023Article
- Unified tumor growth mechanisms from multimodel inference and dataset integration.PLoS computational biology · 2023Article
- A model for the intrinsic limit of cancer therapy: Duality of treatment-induced cell death and treatment-induced stemness.PLoS computational biology · 2022Article
- Tipping the Balance: A Criticality Perspective.Entropy (Basel, Switzerland) · 2022Article
- A mathematical model for phenotypic heterogeneity in breast cancer with implications for therapeutic strategies.Journal of the Royal Society, Interface · 2022Article
- Reduction of a stochastic model of gene expression: Lagrangian dynamics gives access to basins of attraction as cell types and metastabilty.Journal of mathematical biology · 2021Article
- Translocation of intracellular CD24 constitutes a triggering event for drug resistance in breast cancer.Scientific reports · 2021Article
- Reverse engineering of a mechanistic model of gene expression using metastability and temporal dynamics.In silico biology · 2021Article
- Modeling heterogeneous tumor growth dynamics and cell-cell interactions at single-cell and cell-population resolution.Current opinion in systems biology · 2019Article
- Cancer cell population growth kinetics at low densities deviate from the exponential growth model and suggest an Allee effect.PLoS biology · 2019Article
- Stochastic modeling of phenotypic switching and chemoresistance in cancer cell populations.Scientific reports · 2019Article
- The invasion of de-differentiating cancer cells into hierarchical tissues.PLoS computational biology · 2019Article
- Phenotypic heterogeneity and evolution of melanoma cells associated with targeted therapy resistance.PLoS computational biology · 2019Article
- A Nonquiescent "Idling" Population State in Drug-Treated, BRAF-Mutated Melanoma.Biophysical journal · 2018Article
Corrections and comments
- Erratum issued
Authors and funding
4 authors.
Funding
Abstract
Tumorigenesis is a dynamic biological process that involves distinct cancer cell subpopulations proliferating at different rates and interconverting between them. In this paper we proposed a mathematical framework of population dynamics that considers both distinctive growth rates and intercellular transitions between cancer cell populations. Our mathematical framework showed that both growth and transition influence the ratio of cancer cell subpopulations but the latter is more significant. We derived the condition that different cancer cell types can maintain distinctive subpopulations and we also explain why there always exists a stable fixed ratio after cell sorting based on putative surface markers. The cell fraction ratio can be shifted by changing either the growth rates of the subpopulations (Darwinism selection) or by environment-instructed transitions (Lamarckism induction). This insight can help us to understand the dynamics of the heterogeneity of cancer cells and lead us to new strategies to overcome cancer drug resistance.
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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.