ReviewDiagnostics (Basel, Switzerland)2025
Diagnostic, Prognostic, and Predictive Tissue Biomarkers in Urothelial Carcinoma In Situ: A Narrative Review.
Review in Diagnostics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- Celldetect test performance in monitoring bladder cancer recurrence after transurethral resection.BMC cancer · 2026Article
- Machine Learning in Biomarker-Driven Precision Oncology: Automated Immunohistochemistry Scoring and Emerging Directions in Genitourinary Cancers.Current oncology (Toronto, Ont.) · 2026Review
- A case series: Four cases of urothelial carcinoma with sarcomatoid differentiation.Frontiers in oncology · 2026Article
- Primary malignant Brenner tumor of the ovary: a case report.Frontiers in oncology · 2025Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Urothelial carcinoma in situ (UCIS) is a high-grade non-muscle-invasive neoplasm with significant clinical implications due to its potential for progression to muscle-invasive disease. Accurate diagnosis and risk stratification are crucial for appropriate management, particularly given the variability in response to intravesical Bacillus Calmette-Guérin (BCG) therapy. While the diagnosis of UCIS primarily relies on morphological criteria, immunohistochemical (IHC) markers serve as valuable ancillary tools, particularly in challenging cases. Markers such as CK20, CD44, p53, and Ki-67 have been extensively studied, though none demonstrate complete sensitivity or specificity. Additionally, molecular classification has identified luminal and basal subtypes, with potential prognostic and therapeutic implications. Recent studies have also explored predictive biomarkers for BCG response, including PD-L1, whose expression correlates with recurrence and potential responsiveness to immune checkpoint inhibitors. Emerging targeted therapies, such as enfortumab vedotin, have shown promise, with nectin-4 overexpression observed in most UCIS cases. Despite these advancements, challenges remain, including interobserver variability in morphological assessment, heterogeneous IHC methodologies, and the need for standardized molecular testing. This review highlights the current understanding of diagnostic, prognostic, and predictive tissue biomarkers in UCIS, underscoring the potential role of molecular profiling in guiding personalized treatment strategies. Future research should focus on refining biomarker-driven classification systems to improve risk stratification and therapeutic decision-making in UCIS patients.
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