ArticleScientific reports2019
Stochastic modeling of phenotypic switching and chemoresistance in cancer cell populations.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 4 citations in OpenAlex.
- The unsolvable problem of traumatic brain injury (or how to stop wasting money in fruitless research).Surgical neurology international · 2026Review
- Continuous adaptive chemotherapy dosing by using planet-formation-inspired dynamics: analytical andFrontiers in oncology · 2026Article
- Transition between cell states of sensitivity reveals molecular vulnerability of drug-tolerant cells.Molecular systems biology · 2025Article
- Integrative proteo-genomic profiling uncovers key biomarkers of lapatinib resistance in HER2-positive breast cancer.British journal of cancer · 2025Article
- Inheritable cell-states shape drug-persister correlations and population dynamics in cancer cells.PLoS computational biology · 2025Article
- Coupling Bacterial Cell Size Regulation with Clonal Proliferation Dynamics Reveals Cell Division Based on Surface Area.bioRxiv : the preprint server for biology · 2025Article
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- A mathematical framework for comparison of intermittent versus continuous adaptive chemotherapy dosing in cancer.NPJ systems biology and applications · 2024Article
- Drug resistant pancreatic cancer cells exhibit altered biophysical interactions with stromal fibroblasts in imaging studies of 3D co-culture models.Scientific reports · 2024Article
- Using deep learning to decipher the impact of telomerase promoter mutations on the dynamic metastatic morpholome.PLoS computational biology · 2024Article
- Threshold-awareness in adaptive cancer therapy.PLoS computational biology · 2024Article
- Metronomic chemotherapy in cancer treatment: new wine in an old bottle.Theranostics · 2024Review
- Review
- Quantifying cancer cell plasticity with gene regulatory networks and single-cell dynamics.Frontiers in network physiology · 2023Review
- Mathematical characterization of population dynamics in breast cancer cells treated with doxorubicin.Frontiers in molecular biosciences · 2022Article
- Protein conformational dynamics and phenotypic switching.Biophysical reviews · 2021Review
- Chemotherapeutic drugs: Cell death- and resistance-related signaling pathways. Are they really as smart as the tumor cells?Translational oncology · 2021Review
- Group Behavior and Emergence of Cancer Drug Resistance.Trends in cancer · 2021Review
- Optimal control to reach eco-evolutionary stability in metastatic castrate-resistant prostate cancer.PloS one · 2020Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Phenotypic heterogeneity in cancer cells is widely observed and is often linked to drug resistance. In several cases, such heterogeneity in drug sensitivity of tumors is driven by stochastic and reversible acquisition of a drug tolerant phenotype by individual cells even in an isogenic population. Accumulating evidence further suggests that cell-fate transitions such as the epithelial to mesenchymal transition (EMT) are associated with drug resistance. In this study, we analyze stochastic models of phenotypic switching to provide a framework for analyzing cell-fate transitions such as EMT as a source of phenotypic variability in drug sensitivity. Motivated by our cell-culture based experimental observations connecting phenotypic switching in EMT and drug resistance, we analyze a coarse-grained model of phenotypic switching between two states in the presence of cytotoxic stress from chemotherapy. We derive analytical results for time-dependent probability distributions that provide insights into the rates of phenotypic switching and characterize initial phenotypic heterogeneity of cancer cells. The results obtained can also shed light on fundamental questions relating to adaptation and selection scenarios in tumor response to cytotoxic therapy.
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