{"doi":"10.1101/2020.11.01.350918","title":"Measuring kinetics and metastatic propensity of CTCs by blood exchange between mice","abstract":"Abstract Existing pre-clinical methods for acquiring dissemination kinetics of rare circulating tumor cells (CTCs) en route to forming metastases have not been capable of providing a direct measure of CTC intravasation rate and subsequent half-life in the circulation. Here, we demonstrate an approach for measuring endogenous CTC kinetics by continuously exchanging CTC-containing blood over several hours between un-anesthetized, tumor-bearing mice and healthy, tumor-free counterparts. By tracking CTC transfer rates using an autochthonous small cell lung cancer model, we extrapolated half-life times in the circulation of 50-100 seconds and intravasation rates between 4,000 and 27,000 CTCs/hour – an average daily shedding rate equivalent to ∼0.07% of the total number of primary tumor cells in the lung. Additionally, transfer of 1-2% of daily-shed CTCs from late-stage tumor-bearing mice generated macrometastases in healthy recipient mice. We envision that our technique will help further elucidate the role of CTCs and the rate-limiting steps in metastasis.","journal":"bioRxiv (Cold Spring Harbor Laboratory)","year":2020,"id":131482,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.95,"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":585498,"name":"A. B. Miller","orcid":"0000-0002-1847-4891","position":1,"is_corresponding":false},{"id":586276,"name":"Lara Meier","orcid":null,"position":2,"is_corresponding":false},{"id":470271,"name":"Max A. Stockslager","orcid":"0000-0002-1223-570X","position":3,"is_corresponding":false},{"id":406418,"name":"Emily M. King","orcid":"0000-0001-6045-4803","position":4,"is_corresponding":false},{"id":57387,"name":"Sheng Rong Ng","orcid":"0000-0003-1655-2443","position":5,"is_corresponding":false},{"id":586277,"name":"Kelsey L. DeGouveia","orcid":null,"position":6,"is_corresponding":false},{"id":558596,"name":"Nolawit Mulugeta","orcid":"0009-0006-7696-9303","position":7,"is_corresponding":false},{"id":585499,"name":"Nicholas L. Calistri","orcid":"0000-0002-8541-0919","position":8,"is_corresponding":false},{"id":586278,"name":"Haley Strouf","orcid":null,"position":9,"is_corresponding":false},{"id":585500,"name":"Lin Lin","orcid":"0000-0001-6246-8803","position":10,"is_corresponding":false},{"id":237408,"name":"Christopher R. Chin","orcid":"0000-0002-2140-3197","position":11,"is_corresponding":false},{"id":23828,"name":"Robert A. Weinberg","orcid":"0000-0002-0895-3557","position":12,"is_corresponding":false},{"id":1413,"name":"Alex K. Shalek","orcid":"0000-0001-5670-8778","position":13,"is_corresponding":false},{"id":14823,"name":"Tyler Jacks","orcid":"0000-0001-5785-8911","position":14,"is_corresponding":false},{"id":272487,"name":"Scott R. Manalis","orcid":"0000-0001-5223-9433","position":15,"is_corresponding":false},{"id":407945,"name":"Bashar Hamza","orcid":null,"position":0,"is_corresponding":true}],"reference_count":51,"raw_metadata":null,"created_at":"2026-07-18T23:16:03.875886Z","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":[]}