ArticleInterface focus2013
Evolution of intratumoral phenotypic heterogeneity: the role of trait inheritance.
Article in Interface focus, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Article
- Article
- Migrastatic therapy as a potential game-changer in adaptive cancer treatment.Scientific reports · 2026Article
- Quantifying collective motion patterns in mesenchymal cell populations using topological data analysis and agent-based modeling.Mathematical biosciences · 2024Article
- Cell Cycle Status Influences Resistance to Apoptosis Induced by Oxidative Stress in Human Breast Cancer Cells, Which Is Accompanied by Modulation of Autophagy.Current issues in molecular biology · 2023Article
- Agent-based methods facilitate integrative science in cancer.Trends in cell biology · 2023Review
- The Contribution of Evolutionary Game Theory to Understanding and Treating Cancer.Dynamic games and applications · 2022Review
- The role of memory in non-genetic inheritance and its impact on cancer treatment resistance.PLoS computational biology · 2021Article
- A Mathematical Study of the Influence of Hypoxia and Acidity on the Evolutionary Dynamics of Cancer.Bulletin of mathematical biology · 2021Article
- Learning differential equation models from stochastic agent-based model simulations.Journal of the Royal Society, Interface · 2021Article
- The impact of phenotypic heterogeneity of tumour cells on treatment and relapse dynamics.PLoS computational biology · 2021Article
- Biologically-informed neural networks guide mechanistic modeling from sparse experimental data.PLoS computational biology · 2020Article
- Cancer cell lines show high heritability for motility but not generation time.Royal Society open science · 2020Article
- Modeling Tumor Evolutionary Dynamics to Predict Clinical Outcomes for Patients with Metastatic Colorectal Cancer: A Retrospective Analysis.Cancer research · 2020Article
- Learning-accelerated discovery of immune-tumour interactions.Molecular systems design & engineering · 2019Article
- The impact of proliferation-migration tradeoffs on phenotypic evolution in cancer.Scientific reports · 2019Article
- Spatial Heterogeneity and Evolutionary Dynamics Modulate Time to Recurrence in Continuous and Adaptive Cancer Therapies.Cancer research · 2018Article
- Cell signaling heterogeneity is modulated by both cell-intrinsic and -extrinsic mechanisms: An integrated approach to understanding targeted therapy.PLoS biology · 2018Article
- Biomarkers from in vivo molecular imaging of breast cancer: pretreatmentMagma (New York, N.Y.) · 2017Article
- A population genetics perspective on the determinants of intra-tumor heterogeneity.Biochimica et biophysica acta. Reviews on cancer · 2017Review
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2 authors.
Funding
Abstract
A tumour is a heterogeneous population of cells that competes for limited resources. In the clinic, we typically probe the tumour by biopsy, and then characterize it by the dominant genetic clone. But genotypes are only the first link in the chain of hierarchical events that leads to a specific cell phenotype. The relationship between genotype and phenotype is not simple, and the so-called genotype to phenotype map is poorly understood. Many genotypes can produce the same phenotype, so genetic heterogeneity may not translate directly to phenotypic heterogeneity. We therefore choose to focus on the functional endpoint, the phenotype as defined by a collection of cellular traits (e.g. proliferative and migratory ability). Here, we will examine how phenotypic heterogeneity evolves in space and time and how the way in which phenotypes are inherited will drive this evolution. A tumour can be thought of as an ecosystem, which critically means that we cannot just consider it as a collection of mutated cells but more as a complex system of many interacting cellular and microenvironmental elements. At its simplest, a growing tumour with increased proliferation capacity must compete for space as a limited resource. Hypercellularity leads to a contact-inhibited core with a competitive proliferating rim. Evolution and selection occurs, and an individual cell's capacity to survive and propagate is determined by its combination of traits and interaction with the environment. With heterogeneity in phenotypes, the clone that will dominate is not always obvious as there are both local interactions and global pressures. Several combinations of phenotypes can coexist, changing the fitness of the whole. To understand some aspects of heterogeneity in a growing tumour, we build an off-lattice agent-based model consisting of individual cells with assigned trait values for proliferation and migration rates. We represent heterogeneity in these traits with frequency distributions and combinations of traits with density maps. How the distributions change over time is dependent on how traits are passed on to progeny cells, which is our main enquiry. We bypass the translation of genetics to behaviour by focusing on the functional end result of inheritance of the phenotype combined with the environmental influence of limited space.
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