| Literature DB >> 28081961 |
Alex Simmons1, Pamela M Burrage1, Dan V Nicolau2, Sunil R Lakhani3, Kevin Burrage4.
Abstract
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.Entities:
Keywords: Breast cancer; ductal carcinoma in situ; mathematical modelling; mathematical oncology
Mesh:
Year: 2017 PMID: 28081961 DOI: 10.1016/j.pathol.2016.11.004
Source DB: PubMed Journal: Pathology ISSN: 0031-3025 Impact factor: 5.306