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...

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Hauptverfasser: Váradi, Melinda (VerfasserIn) , Horváth, O. (VerfasserIn) , Soós, E. (VerfasserIn) , Csizmarik, A. (VerfasserIn) , Németh, B. (VerfasserIn) , Győrffy, B. (VerfasserIn) , Kenessey, I. (VerfasserIn) , Reis, H. (VerfasserIn) , Koll, F. (VerfasserIn) , Oláh, C. (VerfasserIn) , Hadaschik, B. (VerfasserIn) , Krafft, U. (VerfasserIn) , Grünwald, V. (VerfasserIn) , Mairinger, F. (VerfasserIn) , Wessolly, M. (VerfasserIn) , Hoffmann, M. J. (VerfasserIn) , Grunewald, C. M. (VerfasserIn) , Niegisch, G. (VerfasserIn) , López-Cotarelo Rodríguez-Noriega, Cristina (VerfasserIn) , Maráz, A. (VerfasserIn) , Kuthi, L. (VerfasserIn) , Szász, A. M. (VerfasserIn) , Herold, Z. (VerfasserIn) , Posta, M. (VerfasserIn) , Bátai, B. (VerfasserIn) , Nyirády, P. (VerfasserIn) , Szarvas, T. (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: December 2025
In: Cancer immunology immunotherapy
Year: 2025, Jahrgang: 74, Heft: 12, Pages: 1-16
ISSN:1432-0851
DOI:10.1007/s00262-025-04224-8
Online-Zugang:Verlag, kostenfrei, Volltext: https://doi.org/10.1007/s00262-025-04224-8
Volltext
Verfasserangaben: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

MARC

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520 |a 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. 
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650 4 |a Immune checkpoint inhibitors 
650 4 |a Molecular subtypes 
650 4 |a PD-L1 
650 4 |a Urothelial carcinoma 
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