Assessing Combinational Drug Efficacy in Cancer Cells by Using Image-based Dynamic Response Analysis

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 alternati...

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Bibliographic Details
Main Authors: Chao Sima, Jianping Hua, Milana Cypert, Tasha Miller, Heather M. Wilson-Robles, Jeffrey M. Trent, Edward R. Dougherty, Michael L. Bittner
Format: Article
Language:English
Published: SAGE Publishing 2015-01-01
Series:Cancer Informatics
Online Access:https://doi.org/10.4137/CIN.S30799
Description
Summary: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.
ISSN:1176-9351