An agent-based model of cancer stem cell initiated avascular tumour growth and metastasis

The effect of seeding frequency and location

Kerri Ann Norton, Aleksander S Popel

Research output: Contribution to journalArticle

Abstract

It is very important to understand the onset and growth pattern of breast primary tumours as well as their metastatic dissemination. In most cases, it is the metastatic disease that ultimately kills the patient. There is increasing evidence that cancer stem cells are closely linked to the progression of the metastatic tumour. Here, we investigate stem cell seeding to an avascular tumour site using an agent-based stochastic model of breast cancer metastatic seeding. The model includes several important cellular features such as stem cell symmetric and asymmetric division, migration, cellular quiescence, senescence, apoptosis and cell division cycles. It also includes external features such as stem cell seeding frequency and location. Using this model, we find that cell seeding rate and location are important features for tumour growth. We also define conditions in which the tumour growth exhibits decremented and exponential growth patterns. Overall, we find that seeding, senescence and division limit affect not only the number of stem cells, but also their spatial and temporal distribution.

Original languageEnglish (US)
Article number0640
JournalJournal of the Royal Society Interface
Volume11
Issue number100
DOIs
StatePublished - Nov 6 2014

Fingerprint

Neoplastic Stem Cells
Stem cells
Tumors
Neoplasm Metastasis
Stem Cells
Growth
Neoplasms
Asymmetric Cell Division
Breast Neoplasms
Cell Aging
Cell death
Stochastic models
Cell Cycle
Apoptosis
Cells

Keywords

  • Computational modelling
  • Metastatic niche
  • Progenitor cells

ASJC Scopus subject areas

  • Biophysics
  • Biotechnology
  • Bioengineering
  • Biomedical Engineering
  • Biomaterials
  • Biochemistry
  • Medicine(all)

Cite this

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abstract = "It is very important to understand the onset and growth pattern of breast primary tumours as well as their metastatic dissemination. In most cases, it is the metastatic disease that ultimately kills the patient. There is increasing evidence that cancer stem cells are closely linked to the progression of the metastatic tumour. Here, we investigate stem cell seeding to an avascular tumour site using an agent-based stochastic model of breast cancer metastatic seeding. The model includes several important cellular features such as stem cell symmetric and asymmetric division, migration, cellular quiescence, senescence, apoptosis and cell division cycles. It also includes external features such as stem cell seeding frequency and location. Using this model, we find that cell seeding rate and location are important features for tumour growth. We also define conditions in which the tumour growth exhibits decremented and exponential growth patterns. Overall, we find that seeding, senescence and division limit affect not only the number of stem cells, but also their spatial and temporal distribution.",
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