Machine Learning-Based Gene Expression Analysis to Identify Prognostic Biomarkers in Upper Tract Urothelial Carcinoma
This pilot study demonstrates the potential of integrating machine learning with transcriptomic analysis to identify prognostic biomarkers in UTUC. Further validation in larger, independent cohorts is needed to confirm these findings and support their clinical application.
Authors
- Rubén López-Aladid (ORCID: https://orcid.org/0000-0002-4976-6571)
- Bernat Padullés (ORCID: https://orcid.org/0009-0002-6177-3739)
- Lourdes Mengual (ORCID: https://orcid.org/0000-0001-7418-9422)
- J Barral Juez
- Fiorella L. Roldán (ORCID: https://orcid.org/0000-0002-9152-922X)
- Mercedes Ingelmo‐Torres (ORCID: https://orcid.org/0000-0002-7116-2045)
- Laura Izquierdo (ORCID: https://orcid.org/0000-0001-6015-2987)
- Antonio Alcaraz (ORCID: https://orcid.org/0000-0003-2612-5250)
- Carmen Martínez (ORCID: https://orcid.org/0000-0001-8327-3239)
Institutions
- Hospital Universitario de Guadalajara (ES)
- Departament de Salut (ES)
- Hospital Clínic de Barcelona (ES)
- Consorci Institut D'Investigacions Biomediques August Pi I Sunyer (ES)
- Universitat de Barcelona (ES)
Publication Details
- Journal
- Cancers
- Published
- 2025-08-11
- DOI
- https://doi.org/10.3390/cancers17162619
- Primary Topic
- Bladder and Urothelial Cancer Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00