Systems biology of cancer: A challenging expedition for clinical and quantitative biologists

Ilya Korsunsky, Kathleen McGovern, Tom LaGatta, Loes Olde Loohuis, Terri Grosso-Applewhite, Nancy Griffeth, Bud Mishra

Research output: Contribution to journalArticlepeer-review


A systems-biology approach to complex disease (such as cancer) is now complementing traditional experience-based approaches, which have typically been invasive and expensive. The rapid progress in biomedical knowledge is enabling the targeting of disease with therapies that are precise, proactive, preventive, and personalized. In this paper, we summarize and classify models of systems biology and model checking tools, which have been used to great success in computational biology and related fields. We demonstrate how these models and tools have been used to study some of the twelve biochemical pathways implicated in but not unique to pancreatic cancer, and conclude that the resulting mechanistic models will need to be further enhanced by various abstraction techniques to interpret phenomenological models of cancer progression.

Original languageEnglish (US)
Article number27
JournalFrontiers in Bioengineering and Biotechnology
Issue numberAUG
StatePublished - 2014


  • Cancer pathway modeling
  • Dynamical models
  • Molecular modeling
  • Multi-scale modeling
  • New algorithms

ASJC Scopus subject areas

  • Biotechnology
  • Bioengineering
  • Histology
  • Biomedical Engineering


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