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Layer organization of cells in a tumor. The image was generated with the tumor model developed in this work.
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Cell-based models provide a helpful approach for simulating complex systems that exhibit adaptive, resilient qualities, such as cancer. Their focus on individual cell interactions makes them a particularly appropriate strategy to study the effects of cancer therapies, which often are designed to disrupt single-cell dynamics. In this work, we also p...
Contexts in source publication
Context 1
... in nutrient absorption results in a particular arrangement of cells: those at the core of the tumor die, leaving necrotic scar tissue; cells at intermediate portions of the tumor stay in a quiescent dormant state that is less metabolically demanding, and actively proliferating cells reside on the outer layers of the tumor. This morphological organization of tumor cells has been schematized in Figure 1. ...
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... the number of steps τ immuno that the therapy takes is reached. Figure 10 shows the evolution of the tumor automaton, where an immunotherapy round of treatment that took 250 steps was delivered to the tissue starting at step 300. Corresponding time series of entropy and fractal dimension are shown in Figure 11. ...
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... 10 shows the evolution of the tumor automaton, where an immunotherapy round of treatment that took 250 steps was delivered to the tissue starting at step 300. Corresponding time series of entropy and fractal dimension are shown in Figure 11. ...
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... results obtained for immunotherapy, presented in Figures 10 and 11, showed similar patterns of decrease for state variables when the treatment was applied. In this case, however, the targeting of cancer cells was even more widely scattered than during radiotherapy, leaving multiple clusters of cells as the immune system attacked proliferating cells. ...
