期刊
JOURNAL OF THE ROYAL SOCIETY INTERFACE
卷 11, 期 100, 页码 -出版社
ROYAL SOC
DOI: 10.1098/rsif.2014.0640
关键词
computational modelling; progenitor cells; metastatic niche
资金
- National Institutes of Health [R01 CA138264, T32CA130840]
- American Cancer Society [PF-13-174-01-CSM]
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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