Mathematical modeling of cancer progression and response to chemotherapy.
The complex, constantly evolving and multifaceted nature of cancer has made it difficult to identify unique molecular and pathophysiological signatures for each disease variant, consequently hindering development of effective therapies. Mathematical modeling and computer simulation are tools that can provide a robust framework to better understand cancer progression and response to chemotherapy. Successful therapeutic agents must overcome biological barriers occurring at multiple space and time scales and still reach targets at sufficient concentrations. A multiscale computer simulator founded on the integration of experimental data and mathematical models can provide valuable insights into these processes and establish a technology platform for analyzing the effectiveness of chemotherapeutic drugs, with the potential to cost-effectively and efficiently screen drug candidates during the drug-development process.
Sanga
Sandeep
S
University of California, Department of Biomedical Engineering, Irvine, 3120, CA 92697-2715, USA. ssanga@uci.edu
Sinek
John P
JP
Frieboes
Hermann B
HB
Ferrari
Mauro
M
Fruehauf
John P
JP
Cristini
Vittorio
V
D000970:Antineoplastic Agents / Q000627:therapeutic use*; D019295:Computational Biology / Q000379:methods; D018450:Disease Progression; D006801:Humans; D008954:Models, Biological; D009369:Neoplasms / Q000188:drug therapy* / Q000473:pathology
D000970:Antineoplastic Agents