ArticleBritish journal of cancer2009
Migration rules: tumours are conglomerates of self-metastases.
Article in British journal of cancer, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.
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Who cites it
67 citing papers in PubMed, 136 citations in OpenAlex.
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- Towards verifiable cancer digital twins: tissue level modeling protocol for precision medicine.Frontiers in physiology · 2024Review
- Nanoparticle-mediated cancer cell therapy: basic science to clinical applications.Cancer metastasis reviews · 2023Review
- Physics-based tissue simulator to model multicellular systems: A study of liver regeneration and hepatocellular carcinoma recurrence.PLoS computational biology · 2023Article
- Effect of feedback regulation on stem cell fractions in tissues and tumors: Understanding chemoresistance in cancer.Journal of theoretical biology · 2021Article
- Transitional dynamics of cancer stem cells in invasion and metastasis.Translational oncology · 2021Review
- Circulating tumor cells and breast cancer-specific mutations in primary breast cancer.Molecular and clinical oncology · 2020Article
- Agent-Based Models Predict Emergent Behavior of Heterogeneous Cell Populations in Dynamic Microenvironments.Frontiers in bioengineering and biotechnology · 2020Article
- Modeling triple-negative breast cancer heterogeneity: Effects of stromal macrophages, fibroblasts and tumor vasculature.Journal of theoretical biology · 2018Article
- Stability of Control Networks in Autonomous Homeostatic Regulation of Stem Cell Lineages.Bulletin of mathematical biology · 2018Article
- XIAP Regulation by MNK Links MAPK and NFκB Signaling to Determine an Aggressive Breast Cancer Phenotype.Cancer research · 2018Article
- Determining the control networks regulating stem cell lineages in colonic crypts.Journal of theoretical biology · 2017Article
- A computational multiscale agent-based model for simulating spatio-temporal tumour immune response to PD1 and PDL1 inhibition.Journal of the Royal Society, Interface · 2017Article
- Fighting Cancer with Mathematics and Viruses.Viruses · 2017Review
- Simulation framework for generating intratumor heterogeneity patterns in a cancer cell population.PloS one · 2017Article
7 more citing papers are in PubMed but not listed here.
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tumours are heterogeneous populations composed of different cells types: stem cells with the capacity for self-renewal and more differentiated cells lacking such ability. The overall growth behaviour of a developing neoplasm is determined largely by the combined kinetic interactions of these cells. By tracking the fate of individual cancer cells using agent-based methods in silico, we apply basic rules for cell proliferation, migration and cell death to show how these kinetic parameters interact to control, and perhaps dictate defining spatial and temporal tumour growth dynamics in tumour development. When the migration rate is small, a single cancer stem cell can only generate a small, self-limited clone because of the finite life span of progeny and spatial constraints. By contrast, a high migration rate can break this equilibrium, seeding new clones at sites outside the expanse of older clones. In this manner, the tumour continually 'self-metastasises'. Counterintuitively, when the proliferation capacity is low and the rate of cell death is high, tumour growth is accelerated because of the freeing up of space for self-metastatic expansion. Changes to proliferation and cell death that increase the rate at which cells migrate benefit tumour growth as a whole. The dominating influence of migration on tumour growth leads to unexpected dependencies of tumour growth on proliferation capacity and cell death. These dependencies stand to inform standard therapeutic approaches, which anticipate a positive response to cell killing and mitotic arrest.
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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.