Paper
12 March 2024 Multiparametric quantitative phase imaging as a tool to assess breast cancer response to therapy in patient-derived models
Author Affiliations +
Proceedings Volume 12852, Quantitative Phase Imaging X; 128520K (2024) https://doi.org/10.1117/12.3004844
Event: SPIE BiOS, 2024, San Francisco, California, United States
Abstract
Functional precision medicine aims to identify effective treatments for patients without targetable mutations. Current research in oncology screens patient-derived models of cancer using endpoint assays. However, these assays fail to capture dynamic responses and tumor heterogeneity. We developed multiparametric quantitative phase imaging (mQPI), a labelfree technique, to screen single cells in real-time. Our work shows mQPI correlates with endpoint assays in measuring drug response in cells from patient derived xenograft organoids (PDxOs), while also capturing time of response and singlecell heterogeneity. Additionally, we demonstrate that mQPI can differentiate organoids that come from the same patient, but which originated from different sites.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Tarek E. Moustafa, Edward R. Polanco, Sophie Remick, Ozlen Balcioglu, Sandra D. Scherer, Emilio Cortez-Sanchez, Benjamin T. Spike, Bryan E. Welm, Philip S. Bernard, and Thomas A. Zangle "Multiparametric quantitative phase imaging as a tool to assess breast cancer response to therapy in patient-derived models", Proc. SPIE 12852, Quantitative Phase Imaging X, 128520K (12 March 2024); https://doi.org/10.1117/12.3004844
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KEYWORDS
Medicine

Phase imaging

Breast cancer

Tumors

Cancer

Biological samples

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