ArticleCell reports2025
Adhesion strength of tumor cells predicts metastatic disease in vivo.
Article in Cell reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Bioprinted Bladder Cancer Organoids Model System for Prediction of Chemotherapy Response and Drug Screening.International journal of molecular sciences · 2026Article
- Hydrostatic pressure reduces the mechanosensitivity of cell migration.Science advances · 2026Article
- Colloid-patterned surfaces distinguish malignant mechanophenotypes.Materials today. Bio · 2026Article
- Mechanobiological research fueling the advancement of mechanotherapy and mechanohealth.Mechanobiology in medicine · 2026Article
- Fluid shear stress activates a targetable mechano-metastatic cascade to promote medulloblastoma metastasis.Nature biomedical engineering · 2026Article
- Covalent organic framework-based electrochemical nanosensing: an emerging paradigm for early cancer diagnosis and longitudinal surveillance.Journal of nanobiotechnology · 2026Review
- Frontiers in mechanobiology and mechanomedicine.Med-X · 2025Article
Corrections and comments
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Authors and funding
14 authors.
Funding
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.
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