title: A multilevel approach to cancer growth modeling.
abstract: Cancer growth models may be divided into macroscopic models, which describe the tumor as a single entity, and microscopic ones, which consider the tumor as a complex system whose behavior emerges from the local dynamics of its basic components, the neoplastic cells. Mesoscopic models (e.g. as based on the Local Interaction Simulation Approach [Delsanto, P.P., Mignogna, R., Scalerandi, M., Schechter, R., 1998. In: Delsanto, P.P. Saenz, A.W. (Eds.), New Perspectives on Problems in Classical and Quantum Physics, vol. 2. Gordon & Breach, New Delhi, p. 5174]), which explicitly consider the behavior of cell clusters and their interactions, may be used instead of the microscopic ones, in order to study the properties of cancer biology that strongly depend on the interactions of small groups of cells at intermediate spatial and temporal scales. All these approaches have been developed independently, which limits their usefulness, since they all include relevant features and information that should be cross-correlated for a deeper understanding of the mechanisms involved. In this contribution we consider multicellular tumor spheroids as biological reference systems and propose an intermediate model to bridge the gap between a macroscopic formulation of tumor growth and a mesoscopic one. Thus we are able to establish, as an important result of our formalism, a direct correspondence between parameters characterizing processes occurring at different scales. In particular, we analyze their dependence on an important limiting factor to tumor growth, i.e. the extra-cellular matrix pressure. Since the macro and meso-models stem from totally different roots (energy conservation and clinical observations vs. cell groups dynamics), their consistency may be used to validate both approaches. It may also be interesting to note that the proposed formalism fits well into a recently proposed conjecture of growth laws universality.
authors.affiliation: Department of Physics, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy. pier.delsanto@polito.it <pier.delsanto@polito.it>
authors.forename: P P
authors.initials: PP
authors.lastname: Delsanto
authors.forename: C A
authors.initials: CA
authors.lastname: Condat
authors.forename: N
authors.initials: N
authors.lastname: Pugno
authors.forename: A S
authors.initials: AS
authors.lastname: Gliozzi
authors.forename: M
authors.initials: M
authors.lastname: Griffa
mesh_terms: D002455:Cell Division; D004734:Energy Metabolism; D006801:Humans; D008954:Models, Biological; D009369:Neoplasms / Q000378:metabolism / Q000473:pathology*; D018874:Spheroids, Cellular / Q000378:metabolism / Q000473:pathology