Integrative network modeling approaches to personalized cancer medicine

Brian A. Kidd, Benjamin Readhead, Caroline Eden, Samir Parekh, Joel T. Dudley

Research output: Contribution to journalReview article

8 Scopus citations

Abstract

The ability to collect millions of molecular measurements from patients is a now a reality for clinical medicine. This reality has created the challenge of how to integrate these vast amounts of data into models that accurately predict complex pathophysiology and can translate this complexity into clinically actionable outputs. Integrative informatics and data-driven approaches provide a framework for analyzing large-scale datasets and combining them into multiscale models that can be used to determine the key drivers of disease and identify optimal therapies for treating tumors. In this perspective we discuss how an integrative modeling approach is being used to inform individual treatment decisions, highlighting a recent case report that illustrates the challenges and opportunities for personalized oncology.

Original languageEnglish (US)
Pages (from-to)245-257
Number of pages13
JournalPersonalized Medicine
Volume12
Issue number3
DOIs
StatePublished - Jan 1 2015
Externally publishedYes

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Keywords

  • drug repositioning
  • genomics
  • multiple myeloma
  • multiscale modeling
  • networks
  • personalized medicine

ASJC Scopus subject areas

  • Medicine(all)
  • Molecular Medicine
  • Pharmacology

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