Evidence map›Paper›PMID 41846864›Full record

ReviewPathology oncology research : POR2026

Prognostic and predictive factors of immune checkpoint inhibitor therapy in urinary bladder cancer.

Melinda Váradi, Balázs Magyar, Ádám Széles, Sára Korda, Bernadett Németh, Barbara Simon, Henning Reis, Csilla Oláh, Orsolya Horváth, Bálint Dér and 2 more

Abstract readReview
In one paragraph

Review in Pathology oncology research : POR, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Melinda Váradi *Department of Urology, Semmelweis University, Budapest, Hungary.
Balázs Magyar *Department of Urology, Semmelweis University, Budapest, Hungary.
Ádám SzélesDepartment of Urology, Semmelweis University, Budapest, Hungary.
Sára KordaDepartment of Urology, Semmelweis University, Budapest, Hungary.
Bernadett NémethDepartment of Urology, Semmelweis University, Budapest, Hungary.
Barbara SimonDepartment of Urology, Semmelweis University, Budapest, Hungary.
Henning ReisInstitute of Pathology, University Medicine Essen, University of Duisburg-Essen, Essen, Germany.
Csilla OláhDepartment of Urology, University of Duisburg-Essen, Essen, Germany.
Orsolya HorváthDepartment of Genitourinary Medical Oncology and Pharmacology, National Institute of Oncology, Budapest, Hungary.
Bálint DérDepartment of Urology, Semmelweis University, Budapest, Hungary.
Péter NyirádyDepartment of Urology, Semmelweis University, Budapest, Hungary.
Tibor SzarvasDepartment of Urology, Semmelweis University, Budapest, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Biomarkers, TumorImmune Checkpoint InhibitorsUrinary Bladder NeoplasmsHumansPrognosisBiomarkers, TumorImmune Checkpoint Inhibitorshistological subtypesmicrobiomemolecular subtypesPD-L1TMB

Identifiers

PMID41846864
PMCPMC12989449

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.