title: Cancer metabolism and the dynamics of metastasis.
abstract: Cancer growth dynamics, commonly simulated with a Gompertzian model, is analyzed in the framework of a more recent and realistic model. In particular, we consider the setting of a tumor embedded in a host organ and investigate their interaction. We assume that, at least in some cases, tumor metastasis may be triggered by an 'energetic crisis', when the tumor exceeds the 'carrying capacity' of the host organ. As a consequence, dissemination of clusters of cancer cells is set in motion, with a statistical probability given by a Poisson distribution. The model, although still at a preclinical level, is fully quantitative and is applied, as an example, to the case of prostate cancer. The results confirm that, at least for the more aggressive cancers, metastasis starts very early during tumorigenesis and a quantitative link is found between the tumor's doubling time, its 'aggressiveness' and the metastatic potential.
authors.affiliation: ENEA, Dip. FIM, Unità di Fisica Teorica & Matematica Applicata, Centro Ricerche Frascati, 00044 Frascati, Rome, Italy. dattoli@frascati.enea.it
authors.forename: G
authors.initials: G
authors.lastname: Dattoli
authors.forename: C
authors.initials: C
authors.lastname: Guiot
authors.forename: P P
authors.initials: PP
authors.lastname: Delsanto
authors.forename: P L
authors.initials: PL
authors.lastname: Ottaviani
authors.forename: S
authors.initials: S
authors.lastname: Pagnutti
authors.forename: T S
authors.initials: TS
authors.lastname: Deisboeck
mesh_terms: D000818:Animals; D004734:Energy Metabolism; D006801:Humans; D008297:Male; D008954:Models, Biological; D015233:Models, Statistical; D009362:Neoplasm Metastasis; D009369:Neoplasms / Q000378:metabolism* / Q000473:pathology*; D011336:Probability; D011467:Prostate / Q000378:metabolism; D011471:Prostatic Neoplasms / Q000378:metabolism / Q000473:pathology; D013997:Time Factors