Systems mapping of genes controlling chemotherapeutic drug efficiency for cancer stem cells

Weimiao Wu, Sisi Feng, Yaqun Wang, Ningtao Wang, Han Hao, Rongling Wu

Research output: Contribution to journalReview article

4 Scopus citations

Abstract

Cancer can be controlled effectively by using chemotherapeutic drugs to inhibit cancer stem cells, but there is considerable inter-patient variability regarding how these cells respond to drug intervention. Here, we describe a statistical framework for mapping genes that control tumor responses to chemotherapeutic drugs as well as the efficacy of treatments in arresting tumor growth. The framework integrates the mathematical aspects of the cancer stem cell hypothesis into genetic association studies, equipped with a capacity to quantify the magnitude and pattern of genetic effects on the kinetic decline of cancer stem cells in response to therapy. By quantifying how specific genes and their interactions govern drug response, the model provides essential information to tailor personalized drugs for individual patients.

Original languageEnglish (US)
Pages (from-to)1125-1130
Number of pages6
JournalDrug Discovery Today
Volume19
Issue number8
DOIs
StatePublished - Aug 2014

All Science Journal Classification (ASJC) codes

  • Pharmacology
  • Drug Discovery

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