Evidence map›Paper›PMID 41310273›Full record

ReviewNature reviews. Clinical oncology2026

Towards biomarker-driven therapies for urothelial carcinoma.

Sara Coca Membribes, Bernadett Szabados, Thomas Powles

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Clinical oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Coordinated Expression of ADC TargetsCurrent issues in molecular biology · 2026
    Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
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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

3 authors.

Sara Coca MembribesBarts Cancer Institute, Queen Mary University of London, Barts Health NHS Trust Biomedical Research Centre, London, UK. sara.membribes@nhs.net.ORCID http://orcid.org/0000-0001-9769-5766
Bernadett SzabadosBarts Cancer Institute, Queen Mary University of London, Barts Health NHS Trust Biomedical Research Centre, London, UK.ORCID http://orcid.org/0000-0002-8786-0032
Thomas PowlesBarts Cancer Institute, Queen Mary University of London, Barts Health NHS Trust Biomedical Research Centre, London, UK. thomas.powles1@nhs.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecularly targeted agents and immune checkpoint inhibitors (ICIs) are transforming the treatment landscape for patients with advanced-stage urothelial carcinoma (aUC), although trials testing these novel agents have shown mixed results. In this context, the identification of biomarkers has seen limited success: while activating mutations in FGFR3 are now established as an actionable biomarker to guide treatment with FGFR inhibitors, PD-L1 expression has shown inconsistent value as a predictive biomarker of response to ICIs. The identification of prognostic and predictive biomarkers for ICIs, antibody-drug conjugates and targeted therapies is an active area of research; promising candidates include tumour mutational burden and HER2 overexpression. In the past few years, circulating tumour DNA has emerged as a minimally invasive biomarker, with increasing data supporting its prognostic value and utility for monitoring clinical responses. In this Review, we address these developments and discuss biomarkers that could have clinical utility in patients with aUC.

Indexed as

Biomarkers, TumorCarcinoma, Transitional CellUrinary Bladder NeoplasmsUrologic NeoplasmsB7-H1 AntigenHumansImmune Checkpoint InhibitorsMolecular Targeted TherapyPrognosisReceptor, Fibroblast Growth Factor, Type 3B7-H1 AntigenBiomarkers, TumorCD274 protein, humanFGFR3 protein, humanImmune Checkpoint InhibitorsReceptor, Fibroblast Growth Factor, Type 3

Identifiers

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.