Paper Info
Title
A Mathematical Model To Study Breast Cancer Growth
Abstract
The aim of this paper is (i) to study breast cancer growth by mean of a mathematical model describing cell population dynamics during cancer growth, and (ii) to use this model to reproduce and explain experimental data.We started from a linear model describing cancer subpopulations evolution based on the Cancer Stem Cell (CSC) theory, and we added feedback mechanisms from the cell populations to mimic micro-environment effects in cancer growth. In details, we hypothesized two feedback mechanisms and we studied their effects both separately and combined together. In this way we obtained three new models that we tuned using data derived by TUBO Cancer cell line and describing the evolution of the total cell population and the subpopulations over time. Finally, we exploited these three models to understand which combination of feedback mechanisms better describe the experimental data.
Year
DOI
Venue
2017
10.1109/BIBM.2017.8217874
2017 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM)
Keywords
DocType
ISSN
Breast cancer growth model, Cancer Stem Cell ntheory and mathematical models
Conference
2156-1125
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Giorgia Chivassa100.34
Chiara Fornari2123.11
Roberta Sirovich3142.75
Marzio Pennisi410923.03
Marco Beccuti519526.04
Francesca Cordero66313.42