Environmental factors in breast cancer invasion : a mathematical modelling review
Copyright © 2016 Royal College of Pathologists of Australasia. Published by Elsevier B.V. All rights reserved..
This review presents a brief overview of breast cancer, focussing on its heterogeneity and the role of mathematical modelling and simulation in teasing apart the underlying biophysical processes. Following a brief overview of the main known pathophysiological features of ductal carcinoma, attention is paid to differential equation-based models (both deterministic and stochastic), agent-based modelling, multi-scale modelling, lattice-based models and image-driven modelling. A number of vignettes are presented where these modelling approaches have elucidated novel aspects of breast cancer dynamics, and we conclude by offering some perspectives on the role mathematical modelling can play in understanding breast cancer development, invasion and treatment therapies.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2017 |
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| Erschienen: |
2017 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:49 |
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| Enthalten in: |
Pathology - 49(2017), 2 vom: 15. Feb., Seite 172-180 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Simmons, Alex [VerfasserIn] |
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| Links: |
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| Themen: |
Breast cancer |
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| Anmerkungen: |
Date Completed 01.05.2017 Date Revised 01.05.2017 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.pathol.2016.11.004 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM267945914 |
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| 520 | |a This review presents a brief overview of breast cancer, focussing on its heterogeneity and the role of mathematical modelling and simulation in teasing apart the underlying biophysical processes. Following a brief overview of the main known pathophysiological features of ductal carcinoma, attention is paid to differential equation-based models (both deterministic and stochastic), agent-based modelling, multi-scale modelling, lattice-based models and image-driven modelling. A number of vignettes are presented where these modelling approaches have elucidated novel aspects of breast cancer dynamics, and we conclude by offering some perspectives on the role mathematical modelling can play in understanding breast cancer development, invasion and treatment therapies | ||
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| 700 | 1 | |a Lakhani, Sunil R |e verfasserin |4 aut | |
| 700 | 1 | |a Burrage, Kevin |e verfasserin |4 aut | |
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