title: Mathematical modeling of cancer progression and response to chemotherapy.
abstract: 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.
authors.affiliation: University of California, Department of Biomedical Engineering, Irvine, 3120, CA 92697-2715, USA. ssanga@uci.edu
authors.forename: Sandeep
authors.initials: S
authors.lastname: Sanga
authors.forename: John P
authors.initials: JP
authors.lastname: Sinek
authors.forename: Hermann B
authors.initials: HB
authors.lastname: Frieboes
authors.forename: Mauro
authors.initials: M
authors.lastname: Ferrari
authors.forename: John P
authors.initials: JP
authors.lastname: Fruehauf
authors.forename: Vittorio
authors.initials: V
authors.lastname: Cristini
mesh_terms: 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
chemical_list: D000970:Antineoplastic Agents