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Intracellular optical doppler phenotypes of chemosensitivity in human epithelial ovarian cancer
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 tu...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7562924/ https://www.ncbi.nlm.nih.gov/pubmed/33060663 http://dx.doi.org/10.1038/s41598-020-74336-x |
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author | Li, Zhe An, Ran Swetzig, Wendy M. Kanis, Margaux Nwani, Nkechiyere Turek, John Matei, Daniela Nolte, David |
author_facet | Li, Zhe An, Ran Swetzig, Wendy M. Kanis, Margaux Nwani, Nkechiyere Turek, John Matei, Daniela Nolte, David |
author_sort | Li, Zhe |
collection | PubMed |
description | 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% [88–91% 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. |
format | Online Article Text |
id | pubmed-7562924 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75629242020-10-19 Intracellular optical doppler phenotypes of chemosensitivity in human epithelial ovarian cancer Li, Zhe An, Ran Swetzig, Wendy M. Kanis, Margaux Nwani, Nkechiyere Turek, John Matei, Daniela Nolte, David Sci Rep Article 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% [88–91% 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. Nature Publishing Group UK 2020-10-15 /pmc/articles/PMC7562924/ /pubmed/33060663 http://dx.doi.org/10.1038/s41598-020-74336-x Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Li, Zhe An, Ran Swetzig, Wendy M. Kanis, Margaux Nwani, Nkechiyere Turek, John Matei, Daniela Nolte, David Intracellular optical doppler phenotypes of chemosensitivity in human epithelial ovarian cancer |
title | Intracellular optical doppler phenotypes of chemosensitivity in human epithelial ovarian cancer |
title_full | Intracellular optical doppler phenotypes of chemosensitivity in human epithelial ovarian cancer |
title_fullStr | Intracellular optical doppler phenotypes of chemosensitivity in human epithelial ovarian cancer |
title_full_unstemmed | Intracellular optical doppler phenotypes of chemosensitivity in human epithelial ovarian cancer |
title_short | Intracellular optical doppler phenotypes of chemosensitivity in human epithelial ovarian cancer |
title_sort | intracellular optical doppler phenotypes of chemosensitivity in human epithelial ovarian cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7562924/ https://www.ncbi.nlm.nih.gov/pubmed/33060663 http://dx.doi.org/10.1038/s41598-020-74336-x |
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