{"doi":"10.1016/j.celrep.2025.115359","title":"Adhesion strength of tumor cells predicts metastatic disease in vivo","abstract":"Although only a fraction of tumor cells contribute to metastatic disease, no prognostic biomarkers currently exist to identify these cells. We show that a physical marker-adhesion strength-predicts metastatic potential in a mouse breast cancer model and that it may stratify human disease. Cells disseminating from murine mammary tumors are weakly adherent, and, when pre-sorted by adhesion, primary tumors created from strongly adherent cells exhibit fewer lung metastases than weakly adherent cells do. We demonstrate that admixed cancer lines can be separated by label-free adhesive signatures. When applied to murine metastatic tumors, adhesion retrospectively predicts metastatic disease with 100% specificity, 85% sensitivity, and area under the curve (AUC) of 0.94. Cells from human reduction mammoplasties have a higher adhesion strength versus resected human tumors, which may also be stratified between invasive and more indolent cancers. Thus, highly metastatic cells may have a distinct physical phenotype that may be a predictive marker of clinical outcomes.","journal":"Cell Reports","year":2025,"id":512032,"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":13,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9602,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":328025,"name":"Katherine G. Birmingham","orcid":"0000-0002-7802-7516","position":1,"is_corresponding":false},{"id":385925,"name":"Benjamin Yeoman","orcid":"0000-0001-6016-884X","position":2,"is_corresponding":false},{"id":1184838,"name":"Neal Patel","orcid":"0000-0003-1713-4227","position":3,"is_corresponding":false},{"id":1371429,"name":"Hayley Sperinde","orcid":null,"position":4,"is_corresponding":false},{"id":686530,"name":"Thomas G. Molley","orcid":"0000-0001-8583-5397","position":5,"is_corresponding":false},{"id":385924,"name":"Pranjali Beri","orcid":"0000-0003-4586-3590","position":6,"is_corresponding":false},{"id":1001910,"name":"Jeremy Tuler","orcid":null,"position":7,"is_corresponding":false},{"id":441896,"name":"Aditya Kumar","orcid":"0000-0001-9580-8245","position":8,"is_corresponding":false},{"id":1001669,"name":"Sarah Klein","orcid":"0000-0002-7843-9211","position":9,"is_corresponding":false},{"id":353536,"name":"Somaye Zare","orcid":"0000-0003-4910-8795","position":10,"is_corresponding":false},{"id":242407,"name":"Anne M. Wallace","orcid":"0000-0003-2919-2491","position":11,"is_corresponding":false},{"id":401742,"name":"Parag Katira","orcid":"0000-0001-9873-5117","position":12,"is_corresponding":false},{"id":7870,"name":"Adam J. Engler","orcid":"0000-0003-1642-5380","position":13,"is_corresponding":false},{"id":1370892,"name":"Madison A. Kane","orcid":"0000-0002-3982-1282","position":0,"is_corresponding":true}],"reference_count":60,"raw_metadata":null,"created_at":"2026-07-19T02:48:01.269605Z","pmid":"40049163","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":[]}