PT - JOURNAL ARTICLE AU - Zhe Li AU - Ran An AU - Wendy M. Swetzig AU - Margaux Kanis AU - Nkechiyere Nwani AU - John Turek AU - Daniela Matei AU - David Nolte TI - Intracellular Optical Doppler Phenotypes of Chemosensitivity in Human Epithelial Ovarian Cancer AID - 10.1101/2020.09.14.296863 DP - 2020 Jan 01 TA - bioRxiv PG - 2020.09.14.296863 4099 - http://biorxiv.org/content/early/2020/09/15/2020.09.14.296863.short 4100 - http://biorxiv.org/content/early/2020/09/15/2020.09.14.296863.full AB - Development of an assay to predict response to chemotherapy has remained an elusive goal in cancer research. We report a phenotypic chemosensitivity assay for epithelial ovarian cancer based on Doppler spectroscopy of infrared light scattered from intracellular motions in living three-dimensional tumor biopsy tissue measured in vitro. The study analyzed biospecimens from 20 human patients with epithelial ovarian cancer. Matched primary and metastatic tumor tissues were collected for 3 patients, and an additional 3 patients provided only metastatic tissues. Doppler fluctuation spectra were obtained using full-field optical coherence tomography through off-axis digital holography. Frequencies in the range from 10 mHz to 10 Hz are sensitive to changes in intracellular dynamics caused by platinum-based chemotherapy. Metastatic tumor tissues were found to display a biodynamic phenotype that was similar to primary tissue from patients who had poor clinical outcomes. The biodynamic phenotypic profile correctly classified 90% [88% to 91% c.i.] of the patients when the metastatic samples were characterized as having a chemoresistant phenotype. This work suggests that Doppler profiling of tissue response to chemotherapy has the potential to predict patient clinical outcomes based on primary, but not metastatic, tumor tissue.Competing Interest StatementDavid Nolte, John Turek and Ran An have a financial interest in Animated Dynamics Inc. which is licensing biodynamic imaging technology from the Office of Technology Commercialization of Purdue University. Zhe Li, Wendy M. Swetzig, Margaux Kanis, Nkechiyere Nwani, and Daniela Matei declare no potential conflict of interest.