Tuesday, November 24, 2015

The Implications of Small Stem Cell Niche Sizes and the Distribution of Fitness Effects of New Mutations in Aging and Tumorigenesis

The Implications of Small Stem Cell Niche Sizes and the Distribution of Fitness Effects of New Mutations in Aging and Tumorigenesis

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Sunday, November 22, 2015

Modeling Transitions between Responsive and Resistant States in Breast Cancer with Application to Therapy Optimization

Modeling Transitions between Responsive and Resistant States in Breast Cancer with Application to Therapy Optimization

Abstract

We present a mathematical model that captures the transitions among three experimentally observed estrogen sensitivity phenotypes in breast cancer cells. Based on this model, a population-level model is created and used to explore the optimization of a therapeutic protocol

http://biorxiv.org/content/early/2015/11/10/031245

Physics-based multiscale mass transport model in drug delivery and tumor microenvironment

Physics-based multiscale mass transport model in drug delivery and tumor microenvironment

Abstract

We describe multiscale transport model, which was developed to simulate drug diffusion and convection in tissues and drug vectors. Models rely on material properties and physical laws of transport. Our methods show that drug transport analysis may provide deep insight into mechanisms of pharmacokinetics useful in nanotherapeutics and transport study within tumor microenvironment. Because the method relies on material properties and structures, the approach can help studying phenotypical differences as well.

http://biorxiv.org/content/early/2015/11/10/031252

Integrating experimental data to calibrate quantitative cancer models

Integrating experimental data to calibrate quantitative cancer models

Abstract

For quantitative cancer models to be meaningful and interpretable the number of unknown parameters must be kept minimal. Experimental data can be utilized to calibrate model dynamics rates or rate constants. Proper integration of experimental data, however, depends on the chosen theoretical framework. Using live imaging of cell proliferation as an example, we show how to derive cell cycle distributions in agent-based models and averaged proliferation rates in differential equation models. We focus on a tumor hierarchy of cancer stem and progenitor non-stem cancer cells.

http://biorxiv.org/content/early/2015/11/17/032102

Tuesday, November 10, 2015

Agent based models to investigate cooperation between cancer cells