Adhesion strength of tumor cells predicts metastatic disease in vivo Article Swipe
Madison A. Kane
,
Katherine G. Birmingham
,
Benjamin Yeoman
,
Neal Patel
,
Hayley Sperinde
,
Thomas G. Molley
,
Pranjali Beri
,
Jeremy Tuler
,
Aditya Kumar
,
Sarah Klein
,
Somaye Zare
,
Anne M. Wallace
,
Parag Katira
,
Adam J. Engler
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1016/j.celrep.2025.115359
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1016/j.celrep.2025.115359
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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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.celrep.2025.115359
- https://www.cell.com/action/showPdf?pii=S2211124725001305
- OA Status
- gold
- Cited By
- 3
- References
- 60
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4408164834
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4408164834Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.celrep.2025.115359Digital Object Identifier
- Title
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Adhesion strength of tumor cells predicts metastatic disease in vivoWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
-
2025-03-01Full publication date if available
- Authors
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Madison A. Kane, Katherine G. Birmingham, Benjamin Yeoman, Neal Patel, Hayley Sperinde, Thomas G. Molley, Pranjali Beri, Jeremy Tuler, Aditya Kumar, Sarah Klein, Somaye Zare, Anne M. Wallace, Parag Katira, Adam J. EnglerList of authors in order
- Landing page
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https://doi.org/10.1016/j.celrep.2025.115359Publisher landing page
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https://www.cell.com/action/showPdf?pii=S2211124725001305Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.cell.com/action/showPdf?pii=S2211124725001305Direct OA link when available
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In vivo, Adhesion, Disease, Cancer research, Biology, Pathology, Medicine, Chemistry, Genetics, Organic chemistryTop concepts (fields/topics) attached by OpenAlex
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3Total citation count in OpenAlex
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2025: 3Per-year citation counts (last 5 years)
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60Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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