Literature DB >> 18996401

Cancer metabolism and the dynamics of metastasis.

G Dattoli1, C Guiot, P P Delsanto, P L Ottaviani, S Pagnutti, T S Deisboeck.   

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.

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Year:  2008        PMID: 18996401     DOI: 10.1016/j.jtbi.2008.10.008

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  5 in total

1.  Use of tumor dynamics to clarify the observed variability among biochemical recurrence nomograms for prostate cancer.

Authors:  Guy Dimonte; E J Bergstralh; M E Bolander; R J Karnes; D J Tindall
Journal:  Prostate       Date:  2011-05-31       Impact factor: 4.104

2.  Multiscale systems pharmacological analysis of everolimus action in hepatocellular carcinoma.

Authors:  Anusha Ande; Maher Chaar; Sihem Ait-Oudhia
Journal:  J Pharmacokinet Pharmacodyn       Date:  2018-05-03       Impact factor: 2.745

3.  Modeling the connection between primary and metastatic tumors.

Authors:  David Diego; Gabriel F Calvo; Víctor M Pérez-García
Journal:  J Math Biol       Date:  2012-07-25       Impact factor: 2.259

Review 4.  Simulating cancer growth with multiscale agent-based modeling.

Authors:  Zhihui Wang; Joseph D Butner; Romica Kerketta; Vittorio Cristini; Thomas S Deisboeck
Journal:  Semin Cancer Biol       Date:  2014-05-02       Impact factor: 15.707

5.  A 25-year prospective study of plasma adiponectin and leptin concentrations and prostate cancer risk and survival.

Authors:  Haojie Li; Meir J Stampfer; Lorelei Mucci; Nader Rifai; Weiliang Qiu; Tobias Kurth; Jing Ma
Journal:  Clin Chem       Date:  2009-11-12       Impact factor: 8.327

  5 in total

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