Mathematical modeling of cancer progression and response to chemotherapy

Sandeep Sanga, John P. Sinek, Hermann B. Frieboes, Mauro Ferrari, John P. Fruehauf, Vittorio Cristini

Research output: Contribution to journalArticlepeer-review

103 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)1361-1376
Number of pages16
JournalExpert Review of Anticancer Therapy
Issue number10
StatePublished - Nov 2006


  • Biobarriers
  • Biocomputation
  • Biosimulation
  • Cancer
  • Chemotherapy
  • Modeling
  • Multiscale
  • Nanotechnology
  • Pharmacodynamics
  • Pharmacokinetics

ASJC Scopus subject areas

  • Pharmacology
  • Cancer Research


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