AUTHOR=Váradi Melinda , Magyar Balázs , Széles Ádám , Korda Sára , Németh Bernadett , Simon Barbara , Reis Henning , Oláh Csilla , Horváth Orsolya , Dér Bálint , Nyirády Péter , Szarvas Tibor 
  
TITLE=Prognostic and predictive factors of immune checkpoint inhibitor therapy in urinary bladder cancer
  
JOURNAL=Pathology and Oncology Research
  
VOLUME=Volume 32 - 2026
  
YEAR=2026
  
URL=https://www.por-journal.com/journals/pathology-and-oncology-research/articles/10.3389/pore.2026.1612333
  
DOI=10.3389/pore.2026.1612333
  
ISSN=1532-2807
  
ABSTRACT=Immune checkpoint inhibitor (ICI) therapy has become a firmly integrated component of the systemic treatment repertoire for locally advanced and metastatic urothelial bladder cancer (UBC). Over the past decade, multiple ICIs have demonstrated meaningful clinical activity, and their indications have expanded across treatment lines, including second-line therapy after platinum, first-line therapy for cisplatin-ineligible disease, avelumab maintenance following chemotherapy, and, more recently, combination strategies such as pembrolizumab plus enfortumab vedotin. Despite these advances, patient responses to ICIs remain highly heterogeneous. While a subset of patients achieves substantial tumor regression and long-term survival, a considerable proportion derives little or no benefit. The rapidly evolving therapeutic landscape - encompassing antibody-drug conjugates, targeted agents, and perioperative ICI approvals - further emphasizes the need to identify which patients are most likely to respond to immunotherapy. Given the marked variability in therapeutic sensitivity and the increasing availability of alternative effective treatments, accurate prediction of ICI efficacy is becoming increasingly crucial for personalized treatment selection. In this review, we provide a comprehensive overview of currently established and emerging biomarkers of ICI response in UBC, including PD-L1 immunohistochemistry, serum inflammatory markers, tumor mutational burden, histology and molecular subtypes, gene expression patterns and microbiome features. We discuss their strengths, limitations, and potential translational relevance, highlighting ongoing challenges and future directions.