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What Is The Effects Of Signaling Heterogeneity On Targeted Therapy

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To investigate the effects of signaling heterogeneity on targeted therapy outcomes, we develop an integrated approach of in vitro experiments and three different mathematical models, intracellular signaling network model, cell population growth model, and hybrid cellular automata model, proceeded as follows. First, we develop an intracellular signaling network model. We construct simplified cancer-signaling pathway based on prior information about the pathway and experimentally perturb the pathway by various kinase inhibitors. The model defines protein activity or cell viability as a weighted sum of its neighbors, where each weight indicates interaction strength between two nodes in the pathway. It is worth noting that network nodes …show more content…

We also assume that the number of initial cell population in a treated condition is the same as one in an untreated control condition. Then cell viability is written as a function of growth rates and time. We consider the same time scale of our cell viability assay in our experiments.Here, we defined tumor and stroma region explicitly based on an image of lung adenocarcinoma patient tissue. Tumor region contains cancer cells. Since not all proteins in cancer cells are directly measurable due to experimental limitation, many players and intermediate proteins in the pathway are not included in our study. For this reason, an interaction between two proteins is not necessarily representing direct interaction. Rather, it represents diverse and abstract influence of one entity to other entity in steady state, where an entity can be a microenvironmental variable, intracellular protein, or cell viability.

As a result, we believe our manuscript is now more accessible to broader audience.
We now present core idea of three different mathematical modeling approaches upfront in introduction. We also provide more explicit and clearer explanation of each modeling strategy in mathematical modeling section. To avoid confusion our signaling model with kinetic modeling approaches, we changed Figure 1-2, which now emphasize model fitting to various perturbation conditions not time. We also emphasize what interaction weights mean in our modeling framework.

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