A mathematical model to study breast cancer growth

Giorgia Chivassa, Chiara Fornari, Roberta Sirovichr, Marzio Pennisi, Marco Beccuti, Francesca Cordero

Risultato della ricerca: Capitolo in libro/report/atti di convegnoContributo a conferenzapeer review

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.

Lingua originaleInglese
Titolo della pubblicazione ospiteProceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017
EditorIllhoi Yoo, Jane Huiru Zheng, Yang Gong, Xiaohua Tony Hu, Chi-Ren Shyu, Yana Bromberg, Jean Gao, Dmitry Korkin
EditoreInstitute of Electrical and Electronics Engineers Inc.
Pagine1438-1445
Numero di pagine8
ISBN (elettronico)9781509030491
DOI
Stato di pubblicazionePubblicato - 15 dic 2017
Pubblicato esternamente
Evento2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017 - Kansas City, United States
Durata: 13 nov 201716 nov 2017

Serie di pubblicazioni

NomeProceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017
Volume2017-January

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???event.eventtypes.event.conference???2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017
Paese/TerritorioUnited States
CittàKansas City
Periodo13/11/1716/11/17

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