Long-Term Lung Cancer Survival in a Province of Spain

Lamelas, Isaura Parente

doi:10.4172/2161-105x.s5-001

Cited by 3 publications

(2 citation statements)

References 28 publications

(32 reference statements)

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“…It is a model based relative measure of the time that it takes for a primary tumor to metastasize to a secondary site, or, roughly speaking, a model based measure of the timescale associated with successful extravasation and colonization (6). Timescales associated with metastatic disease are typically quantified by so-called Kaplan-Meier survival curves (30,31), which follow a cohort of patients from presentation until death, plotting the survival percentage associated with the cohort. Alternative methods have been proposed, but by and large, tracking survival of a cohort of patients remains the industry-standard way of tracking progression.…”

Section: Resultsmentioning

confidence: 99%

Spreaders and Sponges Define Metastasis in Lung Cancer: A Markov Chain Monte Carlo Mathematical Model

et al. 2013

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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, though 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 multi-directional aspects of cancer progression. We quantify three types of multi-directional mechanisms of progression: (i) self-seeding of the primary tumor; (ii) re-seeding of the primary tumor from a metastatic site (primary re-seeding); and (iii) re-seeding of metastatic tumors (metastasis re-seeding). The model shows that the combined characteristics of the primary and the first metastatic site to which it spreads largely determine the future pathways and timescales of systemic disease. For lung cancer, the main ‘spreaders’ of systemic disease are the adrenal gland and kidney, whereas the main ‘sponges’ are regional lymph nodes, liver, and bone. Lung is a significant self-seeder, although it is a ‘sponge’ site with respect to progression characteristics.

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Section: Resultsmentioning

confidence: 99%

Spreaders and Sponges Define Metastasis in Lung Cancer: A Markov Chain Monte Carlo Mathematical Model

et al. 2013

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“…There has been lack of optimism regarding treatment advances in the last ten years, and progress in treating or predicting the risk for lung cancer has been slow. As highlighted in the article by Lamelas et al [1] in this issue, ongoing efforts to improve the survival of patients with lung cancer should be centered on achieving an earlier diagnosis in addition to developing new targeted or individualized therapies for the disease.…”

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confidence: 99%