Problem poser – how to interpret divergent prognostic evidence of simultaneously measured tumor markers?

Klinge, U.; Dahl, E.; Mertens, P.R.

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Quantitative model for efficient temporal targeting of tumor cells and neovasculature.

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Analysis of the Growth Control Network Specific for Human Lung Adenocarcinoma Cells

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Many cancer-associated genes and pathways remain to be identified in order to clarify the molecular mechanisms underlying cancer progression. In this area, genome-wide loss-of-function screens appear to be powerful biological tools, allowing the accumulation of large amounts of data. However, this approach currently lacks analytical tools to exploit the data with maximum efficiency, for which systems biology methods analyzing complex...

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Stochastic models of progression of cancer andtheir use in controlling cancer-related mortality

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International Journal of Applied Mathematics and Computer Science

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A construction of a realistic statistical model of lung cancer risk and progression is proposed. The essential elements of the model are genetic and behavioral determinants of susceptibility, progression of the disease from precursor lesions through early (localized) tumors to disseminated disease, detection by various modalities, and medical intervention. Using model estimates as a foundation, mortality reduction caused by early-detection and intervention programs can be predicted under...