A simple model of a growing tumour
This paper presents the CellCycler, a model of a growing tumour which aims to simulate and predict the effect of treatment on xenograft studies or in the clinic. The model, which is freely available as a web application, uses ordinary differential equations (ODEs) to simulate cells as they pass thro...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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PeerJ Inc.
2019-05-01
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| Series: | PeerJ |
| Subjects: | |
| Online Access: | https://peerj.com/articles/6983.pdf |
| _version_ | 1797421902796423168 |
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| author | David Orrell Hitesh B. Mistry |
| author_facet | David Orrell Hitesh B. Mistry |
| author_sort | David Orrell |
| collection | DOAJ |
| description | This paper presents the CellCycler, a model of a growing tumour which aims to simulate and predict the effect of treatment on xenograft studies or in the clinic. The model, which is freely available as a web application, uses ordinary differential equations (ODEs) to simulate cells as they pass through the phases of the cell cycle. However the guiding philosophy of the model is that it should only use parameters that can be observed or reasonably well approximated. There is no representation of the complex internal dynamics of each cell; instead the level of analysis is limited to cell state observables such as cell phase, apoptosis, and damage. We show that this approach, while limited in many respects, still naturally accounts for a heteregenous cell population with varying doubling time, and closely captures the dynamics of a growing tumour as it is exposed to treatment. The program is demonstrated using three case studies. |
| first_indexed | 2024-03-09T07:24:13Z |
| format | Article |
| id | doaj.art-974dd72603514c75a464384cd8ed0825 |
| institution | Directory Open Access Journal |
| issn | 2167-8359 |
| language | English |
| last_indexed | 2024-03-09T07:24:13Z |
| publishDate | 2019-05-01 |
| publisher | PeerJ Inc. |
| record_format | Article |
| series | PeerJ |
| spelling | doaj.art-974dd72603514c75a464384cd8ed08252023-12-03T07:09:58ZengPeerJ Inc.PeerJ2167-83592019-05-017e698310.7717/peerj.6983A simple model of a growing tumourDavid Orrell0Hitesh B. Mistry1Systems Forecasting, Toronto, Ontario, CanadaDivision of Pharmacy, University of Manchester, Manchester, United KingdomThis paper presents the CellCycler, a model of a growing tumour which aims to simulate and predict the effect of treatment on xenograft studies or in the clinic. The model, which is freely available as a web application, uses ordinary differential equations (ODEs) to simulate cells as they pass through the phases of the cell cycle. However the guiding philosophy of the model is that it should only use parameters that can be observed or reasonably well approximated. There is no representation of the complex internal dynamics of each cell; instead the level of analysis is limited to cell state observables such as cell phase, apoptosis, and damage. We show that this approach, while limited in many respects, still naturally accounts for a heteregenous cell population with varying doubling time, and closely captures the dynamics of a growing tumour as it is exposed to treatment. The program is demonstrated using three case studies.https://peerj.com/articles/6983.pdfCancerPharmacologyMathematical modelingDrug combinationsTumour dynamics |
| spellingShingle | David Orrell Hitesh B. Mistry A simple model of a growing tumour PeerJ Cancer Pharmacology Mathematical modeling Drug combinations Tumour dynamics |
| title | A simple model of a growing tumour |
| title_full | A simple model of a growing tumour |
| title_fullStr | A simple model of a growing tumour |
| title_full_unstemmed | A simple model of a growing tumour |
| title_short | A simple model of a growing tumour |
| title_sort | simple model of a growing tumour |
| topic | Cancer Pharmacology Mathematical modeling Drug combinations Tumour dynamics |
| url | https://peerj.com/articles/6983.pdf |
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