Assessing combinational drug efficacy in cancer cells by using image-based dynamic response analysis

Chao Sima, Jianping Hua, Milana Cypert, Tasha Miller, Heather M. Wilson-Robles, Jeffrey M. Trent, Edward R. Dougherty, Michael L. Bittner

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


The landscape of translational research has been shifting toward drug combination therapies. Pairing of drugs allows for more types of drug interaction with cells. In order to accurately and comprehensively assess combinational drug efficacy, analytical methods capable of recognizing these alternative reactions will be required to prioritize those drug candidates having better chances of delivering appreciable therapeutic benefits. Traditional efficacy measures are primarily based on the “extent” of drug inhibition, which is the percentage of cells being killed after drug exposure. Here, we introduce a second dimension of evaluation criterion, speed of killing, based on a live cell imaging assay. This dynamic response trajectory approach takes advantage of both “extent” and “speed” information and uncovers synergisms that would otherwise be missed, while also generating hypotheses regarding important mechanistic modes of drug action.

Original languageEnglish (US)
Pages (from-to)33-43
Number of pages11
JournalCancer Informatics
StatePublished - Mar 9 2016


  • Cell imaging
  • Combinational drug
  • Drug response
  • Dynamics
  • Synergism

ASJC Scopus subject areas

  • Oncology
  • Cancer Research


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