期刊
JOURNAL OF PHARMACOKINETICS AND PHARMACODYNAMICS
卷 42, 期 2, 页码 179-189出版社
SPRINGER/PLENUM PUBLISHERS
DOI: 10.1007/s10928-015-9403-7
关键词
Chemotherapy; Computer simulation; Mathematical modeling; Multiscale; Tumor growth and invasion; Translational research
资金
- National Science Foundation (NSF) [DMS-1263742]
- National Institutes of Health (NIH) [1U54CA149196, 1U54CA143837, 1U54CA151668, 1U54CA143907]
- King Abdulaziz University (KAU) [54-130-35-HiCi]
- University of New Mexico Cancer Center Victor and Ruby Hansen Surface Professorship in Molecular Modeling of Cancer
- Harvard-MIT (HST) Athinoula A. Martinos Center for Biomedical Imaging
- Department of Radiology at Massachusetts General Hospital
Mathematical modeling has become a valuable tool that strives to complement conventional biomedical research modalities in order to predict experimental outcome, generate new medical hypotheses, and optimize clinical therapies. Two specific approaches, pharmacokinetic-pharmacodynamic (PK-PD) modeling, and agent-based modeling (ABM), have been widely applied in cancer research. While they have made important contributions on their own (e.g., PK-PD in examining chemotherapy drug efficacy and resistance, and ABM in describing and predicting tumor growth and metastasis), only a few groups have started to combine both approaches together in an effort to gain more insights into the details of drug dynamics and the resulting impact on tumor growth. In this review, we focus our discussion on some of the most recent modeling studies building on a combined PK-PD and ABM approach that have generated experimentally testable hypotheses. Some future directions are also discussed.
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