Retrospective Case‐Cohort Study on Risk Factors for Developing Distant Metastases in Women With Breast Cancer
Lobular invasive carcinoma, specific tumor subtypes, high grade, large tumor size, lymph node involvement, and loco-regional recurrence are all significant risk factors for distant metastasis, whereas PR expression is protective. The potential of machine learning in predicting metastasis was explored, showing promise for future personalized risk assessment.
Authors
- Laura Mariuzzi (ORCID: https://orcid.org/0000-0002-1243-8398)
- Carla Cedolini
- Ambrogio Pietro Londero (ORCID: https://orcid.org/0000-0001-6429-1220)
- Maria Orsaria (ORCID: https://orcid.org/0000-0001-9978-8130)
- Vincenzo Della Mea (ORCID: https://orcid.org/0000-0002-0144-3802)
- Enrico Pegolo (ORCID: https://orcid.org/0000-0002-1066-8333)
- Serena Bertozzi (ORCID: https://orcid.org/0000-0003-1173-220X)
- Carla Di Loreto
- Giovanni Vendramelli
Institutions
- University of Udine (IT)
- Istituto Giannina Gaslini (IT)
- Istituti di Ricovero e Cura a Carattere Scientifico (IT)
- University of Genoa (IT)
Publication Details
- Journal
- Cancer Medicine
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1002/cam4.70903
- Citations
- 1
- Primary Topic
- Breast Cancer Treatment Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.94
Funders
- Horizon 2020 Framework Programme