ArticlePloS one2017
Phenotypic heterogeneity in modeling cancer evolution.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 20 citations in OpenAlex.
- A damage-structured PDE model of stem cell hierarchies: The dual role of dedifferentiation in tissue homeostasis and aging.PloS one · 2026Article
- New classification for advanced breast cancer patients experiencing disease progression during salvage treatment: a single-center retrospective cohort study.Annals of translational medicine · 2022Article
- The effects of phenotypic plasticity on the fixation probability of mutant cancer stem cells.Journal of theoretical biology · 2020Article
- Cooperative adaptation to therapy (CAT) confers resistance in heterogeneous non-small cell lung cancer.PLoS computational biology · 2019Article
- Modeling breast cancer progression to bone: how driver mutation order and metabolism matter.BMC medical genomics · 2019Article
- The invasion of de-differentiating cancer cells into hierarchical tissues.PLoS computational biology · 2019Article
- Tumor heterogeneity and nanoparticle-mediated tumor targeting: the importance of delivery system personalization.Drug delivery and translational research · 2018Review
- Effect of cellular de-differentiation on the dynamics and evolution of tissue and tumor cells in mathematical models with feedback regulation.Journal of theoretical biology · 2018Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The unwelcome evolution of malignancy during cancer progression emerges through a selection process in a complex heterogeneous population structure. In the present work, we investigate evolutionary dynamics in a phenotypically heterogeneous population of stem cells (SCs) and their associated progenitors. The fate of a malignant mutation is determined not only by overall stem cell and non-stem cell growth rates but also differentiation and dedifferentiation rates. We investigate the effect of such a complex population structure on the evolution of malignant mutations. We derive exactly calculated results for the fixation probability of a mutant arising in each of the subpopulations. The exactly calculated results are in almost perfect agreement with the numerical simulations. Moreover, a condition for evolutionary advantage of a mutant cell versus the wild type population is given in the present study. We also show that microenvironment-induced plasticity in invading mutants leads to more aggressive mutants with higher fixation probability. Our model predicts that decreasing polarity between stem and non-stem cells' turnover would raise the survivability of non-plastic mutants; while it would suppress the development of malignancy for plastic mutants. The derived results are novel and general with potential applications in nature; we discuss our model in the context of colorectal/intestinal cancer (at the epithelium). However, the model clearly needs to be validated through appropriate experimental data. This novel mathematical framework can be applied more generally to a variety of problems concerning selection in heterogeneous populations, in other contexts such as population genetics, and ecology.
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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.