Quantifying metastatic inefficiency: rare genotypes versus rare dynamics

Luis H. Cisneros, Timothy J. Newman

    Research output: Contribution to journalArticlepeer-review

    11 Citations (Scopus)
    177 Downloads (Pure)

    Abstract

    We introduce and solve a 'null model' of stochastic metastatic colonization. The model is described by a single parameter ?: the ratio of the rate of cell division to the rate of cell death for a disseminated tumour cell in a given secondary tissue environment. We are primarily interested in the case in which colonizing cells are poorly adapted for proliferation in the local tissue environment, so that cell death is more likely than cell division, i.e. ? 1, we find that the probability of establishment is exponentially rare, as expected, and yet the mean time for such rare events is of the form ~log (N)/(1 - ?) while the standard deviation of colonization times is ~1/(1 - ?). Thus, counter to naive expectation, for ? 1), i.e. the statistics show a duality mapping (1 - ?) --> (? - 1). We conclude our analysis with a study of heterogeneity in the fitness of colonising cells, and describe a phase diagram delineating parameter regions in which metastatic colonization is dominated either by low or high fitness cells, showing that both are plausible given our current knowledge of physiological conditions in human cancer.
    Original languageEnglish
    Article number046003
    Number of pages13
    JournalPhysical Biology
    Volume11
    Issue number4
    DOIs
    Publication statusPublished - Aug 2014

    Fingerprint

    Dive into the research topics of 'Quantifying metastatic inefficiency: rare genotypes versus rare dynamics'. Together they form a unique fingerprint.

    Cite this