AdhesionScore: A Prognostic Predictor of Breast Cancer Patients Based on a Cell Adhesion-Associated Gene Signature
We have developed, for the first time, a molecular signature based on cell adhesion, as well as an associated <i>AdhesionScore</i> that can predict patient prognosis in invasive breast cancer, with potential clinical application. We developed a novel adhesion-based molecular signature, the <i>AdhesionScore</i>, that robustly predicts prognosis in breast cancer across independent cohorts, highlighting its potential clinical utility for patient risk stratification.
Authors
- Catarina Esquível (ORCID: https://orcid.org/0000-0002-3832-2027)
- Rogério Ribeiro (ORCID: https://orcid.org/0000-0002-5468-7608)
- Joana Paredes (ORCID: https://orcid.org/0000-0002-1076-1343)
- Ana Sofia Ribeiro (ORCID: https://orcid.org/0000-0002-9698-9233)
- Pedro G. Ferreira (ORCID: https://orcid.org/0000-0003-3838-8664)
Institutions
- Universidade do Porto (PT)
- IPO Porto (PT)
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto (PT)
- INESC TEC (PT)
Publication Details
- Journal
- Cancers
- Published
- 2025-11-21
- DOI
- https://doi.org/10.3390/cancers17233731
- Primary Topic
- Intestinal and Peritoneal Adhesions
- Type
- article
- Field-Weighted Citation Impact
- 0.00