{"doi":"10.1101/2020.09.14.296863","title":"Intracellular Optical Doppler Phenotypes of Chemosensitivity in Human Epithelial Ovarian Cancer","abstract":"Abstract 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.","journal":"bioRxiv (Cold Spring Harbor Laboratory)","year":2020,"id":122291,"datarank":0.26876392038420827,"base_score":1.791759469228055,"endowment":1.791759469228055,"self_citation_contribution":0.26876392038420827,"citation_network_contribution":0.0,"self_endowment_contribution":0.26876392038420827,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":5,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9205,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":307415,"name":"Ran An","orcid":"0000-0002-4849-0120","position":1,"is_corresponding":false},{"id":378926,"name":"Wendy M. Swetzig","orcid":"0000-0002-3935-3191","position":2,"is_corresponding":false},{"id":378927,"name":"Margaux J. Kanis","orcid":"0000-0001-8986-9850","position":3,"is_corresponding":false},{"id":379928,"name":"Nkechiyere G. Nwani","orcid":null,"position":4,"is_corresponding":false},{"id":378928,"name":"John Turek","orcid":"0000-0003-4631-7356","position":5,"is_corresponding":false},{"id":239764,"name":"Daniela Matei","orcid":"0000-0003-2169-5035","position":6,"is_corresponding":false},{"id":378929,"name":"David D. Nolte","orcid":"0000-0002-4872-9357","position":7,"is_corresponding":false},{"id":563215,"name":"Zhe Li","orcid":"0000-0002-3434-0885","position":0,"is_corresponding":true}],"reference_count":31,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-18T23:14:51.076430Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}