ArticleScientific reports2022
A life history model of the ecological and evolutionary dynamics of polyaneuploid cancer cells.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 17 citations in OpenAlex.
- Distinct p21 dynamics drive alternative routes to whole-genome duplication through a common CDK4/6-dependent polyploid G0 state.bioRxiv : the preprint server for biology · 2026Article
- Life history enlightened therapies: cell cycle mapping to identify molecular targets to prevent hepatocellular carcinoma.Evolution, medicine, and public health · 2026Article
- Phosphorescence-basediScience · 2025Article
- Modeling stress-induced responses: plasticity in continuous state space and gradual clonal evolution.Theory in biosciences = Theorie in den Biowissenschaften · 2024Article
- The contribution of evolvability to the eco-evolutionary dynamics of competing species.Ecology and evolution · 2023Article
- A mathematical investigation of polyaneuploid cancer cell memory and cross-resistance in state-structured cancer populations.Scientific reports · 2023Article
- Computational Biology Helps Understand How Polyploid Giant Cancer Cells Drive Tumor Success.Genes · 2023Review
- Modeling cancer's ecological and evolutionary dynamics.Medical oncology (Northwood, London, England) · 2023Article
- Biomarkers or biotargets? Using competition to lure cancer cells into evolutionary traps.Evolution, medicine, and public health · 2023Article
Corrections and comments
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Authors and funding
6 authors at 5 institutions in 3 countries.
Funding
Abstract
Therapeutic resistance is one of the main reasons for treatment failure in cancer patients. The polyaneuploid cancer cell (PACC) state has been shown to promote resistance by providing a refuge for cancer cells from the effects of therapy and by helping them adapt to a variety of environmental stressors. This state is the result of aneuploid cancer cells undergoing whole genome doubling and skipping mitosis, cytokinesis, or both. In this paper, we create a novel mathematical framework for modeling the eco-evolutionary dynamics of state-structured populations and use this framework to construct a model of cancer populations with an aneuploid and a PACC state. Using in silico simulations, we explore how the PACC state allows cancer cells to (1) survive extreme environmental conditions by exiting the cell cycle after S phase and protecting genomic material and (2) aid in adaptation to environmental stressors by increasing the cancer cell's ability to generate heritable variation (evolvability) through the increase in genomic content that accompanies polyploidization. In doing so, we demonstrate the ability of the PACC state to allow cancer cells to persist under therapy and evolve therapeutic resistance. By eliminating cells in the PACC state through appropriately-timed PACC-targeted therapies, we show how we can prevent the emergence of resistance and promote cancer eradication.
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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.