1. High-Speed Live-Cell Interferometry: A New Method for Quantifying Tumor Drug Resistance and Heterogeneity
- Author
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Olga Yeshcheulova, Gatien Moriceau, Jason Reed, Irena J. Roy, Thomas A. Zangle, Roger S. Lo, Michael A. Teitell, Daniel Guest, Kevin Leslie, Marco Piva, and Dian Huang
- Subjects
Proto-Oncogene Proteins B-raf ,0301 basic medicine ,Cell ,Drug resistance ,Computational biology ,Analytical Chemistry ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Cell Line, Tumor ,medicine ,Humans ,Biomass ,Treatment resistance ,Melanoma ,Protein Kinase Inhibitors ,medicine.disease ,Kinetics ,Interferometry ,030104 developmental biology ,medicine.anatomical_structure ,chemistry ,Drug Resistance, Neoplasm ,Cell culture ,030220 oncology & carcinogenesis ,Melanoma cell line ,Drug Screening Assays, Antitumor ,Growth inhibition - Abstract
We report the development of high-speed live-cell interferometry (HSLCI), a new multisample, multidrug testing platform for directly measuring tumor therapy response via real-time optical cell biomass measurements. As a proof of concept, we show that HSLCI rapidly profiles changes in biomass in BRAF inhibitor (BRAFi)-sensitive parental melanoma cell lines and in their isogenic BRAFi-resistant sublines. We show reproducible results from two different HSLCI platforms at two institutions that generate biomass kinetic signatures capable of discriminating between BRAFi-sensitive and -resistant melanoma cells within 24 h. Like other quantitative phase imaging (QPI) modalities, HSLCI is well-suited to noninvasive measurements of single cells and cell clusters, requiring no fluorescence or dye labeling. HSLCI is substantially faster and more sensitive than field-standard growth inhibition assays, and in terms of the number of cells measured simultaneously, the number of drugs tested in parallel, and temporal measurement range, it exceeds the state of the art by more than 10-fold. The accuracy and speed of HSLCI in profiling tumor cell heterogeneity and therapy resistance are promising features of potential tools to guide patient therapeutic selections.
- Published
- 2018