Spreaders and sponges define metastasis in lung cancer: a Markov chain Monte Carlo mathematical model.

ABSTRACT: The classic view of metastatic cancer progression is that it is a unidirectional process initiated at the primary tumor site, progressing to variably distant metastatic sites in a fairly predictable, although not perfectly understood, fashion. A Markov chain Monte Carlo mathematical approach can determine a pathway diagram that classifies metastatic tumors as "spreaders" or "sponges" and orders the timescales of progression from site to site. In light of recent experimental evidence highlighting the potential significance of self-seeding of primary tumors, we use a Markov chain Monte Carlo (MCMC) approach, based on large autopsy data sets, to quantify the stochastic, systemic, and often multidirectional aspects of cancer progression. We quantify three types of multidirectional mechanisms o

SUBMITTER: Newton PK 

PROVIDER: S-EPMC3644026 | biostudies-literature | 2013 May

REPOSITORIES: biostudies-literature