Combining molecular patterns and clinical data for better immune checkpoint inhibitor prediction in metastatic urothelial carcinoma

The therapeutic landscape of advanced urothelial carcinoma (UC) is evolving, making the prediction of immune checkpoint inhibitor (ICI) therapy efficacy crucial. Standalone biomarkers offer limited predictive value, necessitating integrative approaches combining clinicopathological, laboratory, and...

Full description

Saved in:
Bibliographic Details
Main Authors: Váradi, Melinda (Author) , Horváth, O. (Author) , Soós, E. (Author) , Csizmarik, A. (Author) , Németh, B. (Author) , Győrffy, B. (Author) , Kenessey, I. (Author) , Reis, H. (Author) , Koll, F. (Author) , Oláh, C. (Author) , Hadaschik, B. (Author) , Krafft, U. (Author) , Grünwald, V. (Author) , Mairinger, F. (Author) , Wessolly, M. (Author) , Hoffmann, M. J. (Author) , Grunewald, C. M. (Author) , Niegisch, G. (Author) , López-Cotarelo Rodríguez-Noriega, Cristina (Author) , Maráz, A. (Author) , Kuthi, L. (Author) , Szász, A. M. (Author) , Herold, Z. (Author) , Posta, M. (Author) , Bátai, B. (Author) , Nyirády, P. (Author) , Szarvas, T. (Author)
Format: Article (Journal)
Language:English
Published: December 2025
In: Cancer immunology immunotherapy
Year: 2025, Volume: 74, Issue: 12, Pages: 1-16
ISSN:1432-0851
DOI:10.1007/s00262-025-04224-8
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.1007/s00262-025-04224-8
Get full text
Author Notes:M. Váradi, O. Horváth, E. Soós, A. Csizmarik, B. Németh, B. Győrffy, I. Kenessey, H. Reis, F. Koll, C. Oláh, B. Hadaschik, U. Krafft, V. Grünwald, F. Mairinger, M. Wessolly, M.J. Hoffmann, C.M. Grunewald, G. Niegisch, C.L. Cotarelo, A. Maráz, L. Kuthi, A.M. Szász, Z. Herold, M. Posta, B. Bátai, P. Nyirády, T. Szarvas
Description
Summary:The therapeutic landscape of advanced urothelial carcinoma (UC) is evolving, making the prediction of immune checkpoint inhibitor (ICI) therapy efficacy crucial. Standalone biomarkers offer limited predictive value, necessitating integrative approaches combining clinicopathological, laboratory, and molecular factors to enhance accuracy. This study aimed to evaluate clinical and molecular factors, including the real-life performance of PD-L1 IHC, to improve treatment outcome prediction in ICI-treated UC patients, ultimately developing a more precise therapy selection model.
Item Description:Online veröffentlicht: 12. November 2025
Gesehen am 29.01.2026
Physical Description:Online Resource
ISSN:1432-0851
DOI:10.1007/s00262-025-04224-8