Title : Agent-based modeling of ductal carcinoma in situ: application to patient-specific breast cancer modeling
Author : Paul Macklin, Jahun Kim, Giovanna Tomaiuolo, Mary E. Edgerton and Vittorio Cristini
Year Publish : 2010
Place of Publish : Springer Berlin / Heidelberg
Abstract :
Ductal carcinoma in situ (DCIS) of the breast is the most common precursor to invasive carcinoma (IC), the second-leading cause of death in women in USA. There has been great progress in modeling DCIS at both the cellular scale (e.g., using cellular automata and agent-based models) and the population scale (e.g., using partial differential equations or systems of ordinary differential equations), but these past efforts have been difficult to calibrate with patient-specific molecular and cellular measurements. We develop a biophysically justified, agent-based cellular model of DCIS that is well-suited to patient-specific calibration. The model is modular in nature and can thus be readily extended to incorporate more advanced biology. We give an example of recently developed, patient-specific calibration of the model and conduct parameter studies that generate testable biological hypotheses.
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