Systems Biology Modeling of Nonlinear Cancer Dynamics

Christian Cherubini; Simonetta Filippi; Alessandro Loppini

doi:10.1007/978-1-4939-7456-6_10

Systems Biology Modeling of Nonlinear Cancer Dynamics

Methods Mol Biol. 2018:1702:203-213. doi: 10.1007/978-1-4939-7456-6_10.

Authors

Christian Cherubini^{1

2}, Simonetta Filippi^{3

4}, Alessandro Loppini¹

Affiliations

¹ Unit of Nonlinear Physics and Mathematical Modeling, Departmental Faculty of Engineering, University Campus Bio-Medico of Rome, Via A. del Portillo 21, 00128, Rome, Italy.
² International Center for Relativistic Astrophysics-I.C.R.A, University Campus Bio-Medico of Rome, Via A. del Portillo 21, 00128, Rome, Italy.
³ Unit of Nonlinear Physics and Mathematical Modeling, Departmental Faculty of Engineering, University Campus Bio-Medico of Rome, Via A. del Portillo 21, 00128, Rome, Italy. s.filippi@unicampus.it.
⁴ International Center for Relativistic Astrophysics-I.C.R.A, University Campus Bio-Medico of Rome, Via A. del Portillo 21, 00128, Rome, Italy. s.filippi@unicampus.it.

PMID: 29119507
DOI: 10.1007/978-1-4939-7456-6_10

Abstract

Systems Biology represents nowadays a promising standard framework for natural and human sciences to attack complicated problems involving Life. Here a particular application of such a program is discussed in the case of Cancer, by using a basic toy model for solid tumor spread for framing together two apparently different conceptual leading paradigms of Oncogenesis.

Keywords: Cancer; Computational biology; Mathematical modeling; Systems biology.

MeSH terms

Animals
Humans
Models, Biological*
Neoplasms / pathology*
Nonlinear Dynamics*
Systems Biology / methods*