Simulating Therapeutics Using Multiscale Models of the VEGF Receptor System in Cancer

Gabhann, Feilim Mac; Stefanini, Marianne O.; Popel, Aleksander S.

doi:10.1007/978-1-4614-0052-3_2

Cited by 4 publications

(2 citation statements)

References 103 publications

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“…Multiscale in silico systems biology approaches have been applied previously in studies of cancer [41,42] and angiogenesis [40,[43][44][45] (see [46][47][48] for reviews), but there has been a limited number of computational models investigating metastasis. The goal of this study is to examine the effect of stem cell seeding and location from the primary tumour or metastatic growth in a three-dimensional environment using a previously developed agent-based model [35,36,38,49].…”

Section: Introductionmentioning

confidence: 99%

An agent-based model of cancer stem cell initiated avascular tumour growth and metastasis: the effect of seeding frequency and location

Norton

Popel

2014

J. R. Soc. Interface.

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ResearchCite this article: Norton K-A, Popel AS. 2014 An agent-based model of cancer stem cell initiated avascular tumour growth and metastasis: the effect of seeding frequency and location. J. R. Soc. 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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Section: Introductionmentioning

confidence: 99%

An agent-based model of cancer stem cell initiated avascular tumour growth and metastasis: the effect of seeding frequency and location

Norton

Popel

2014

J. R. Soc. Interface.

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“…These models provide a platform to study anti-angiogenic therapies and identify new targets. However, the application of modeling to investigate anti-angiogenic therapies has only been briefly summarized previously [1,6] or focused on VEGF pathway [7]. In this review article, we begin with a description of anti-angiogenic cancer therapeutics, and then summarize results from mathematical models and computational analyses of anti-angiogenic agents.…”

Section: Introductionmentioning

confidence: 99%

Computational systems biology approaches to anti-angiogenic cancer therapeutics

Finley

Chu

Popel

2015

Drug Discovery Today

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Angiogenesis is an exquisitely regulated process that is required for physiological processes and is also important in numerous diseases. Tumors utilize angiogenesis to generate the vascular network needed to supply the cancer cells with nutrients and oxygen, and many cancer drugs aim to inhibit tumor angiogenesis. Anti-angiogenic therapy involves inhibiting multiple cell types, molecular targets, and intracellular signaling pathways. Computational tools are useful in guiding treatment strategies, predicting the response to treatment, and identifying new targets of interest. Here, we describe progress that has been made in applying mathematical modeling and bioinformatics approaches to study anti-angiogenic therapeutics in cancer.

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Computational Modeling at Molecular Level

2023

Multiscale Modelling in Biomedical Engineering

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Simulating Therapeutics Using Multiscale Models of the VEGF Receptor System in Cancer

Cited by 4 publications

References 103 publications

An agent-based model of cancer stem cell initiated avascular tumour growth and metastasis: the effect of seeding frequency and location

An agent-based model of cancer stem cell initiated avascular tumour growth and metastasis: the effect of seeding frequency and location

Computational systems biology approaches to anti-angiogenic cancer therapeutics

Computational Modeling at Molecular Level

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