Evidence map›Paper›PMID 41603912›Full record

ArticleUrologie (Heidelberg, Germany)2026

[From nontargeted to precision oncology: predictive biomarkers and targeted therapies in advanced urothelial carcinoma].

Günter Niegisch, Stefanie Zschäbitz, Markus Eckstein, Niklas Klümper

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In one paragraph

Article in Urologie (Heidelberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

4 authors.

Günter NiegischKlinik für Urologie, Universitätsklinikum und medizinische Fakultät, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Deutschland.
Stefanie ZschäbitzKlinik für Medizinische Onkologie, Nationales Centrum für Tumorerkrankungen (NCT), Universitätsklinikum Heidelberg, Heidelberg, Deutschland.
Markus EcksteinInstitut für Pathologie, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Krankenhausstraße 8-10, 91054, Erlangen, Deutschland. markus.eckstein@uk-erlangen.de.
Niklas KlümperAbteilung für Urologie und Kinderurologie, Universitätsklinikum Bonn, Bonn, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For many decades, the treatment of metastatic urothelial carcinoma (mUC) was dominated by platinum-based chemotherapy. However, the introduction of immune checkpoint inhibitors in combination with modern antibody-drug conjugates (ADCs) and FGFR3 inhibitors has replaced this "old" standard due to significantly better efficacy. Although these therapies are targeted therapies, biomarker-driven therapy decisions are rarely used to date. The currently available biomarkers are also only helpful in isolated therapy situations. However, this could change fundamentally for ADCs in view of the pronounced expression variability of potential target structures such as NECTIN4, HER2, EGFR, and TROP2. The presence of activating FGFR3 mutations or fusions already defines a clearly delineated, albeit still small, therapeutic niche that could also gain importance in localized stages of urothelial carcinoma in the future. In order to be able to use these therapeutic innovations in a targeted and precise manner in the future, biomarker-based stratification of urothelial carcinomas is likely to play a greater role. Current developments thus open up considerable potential for true precision oncology.

Indexed as

Biomarkers, TumorCarcinoma, Transitional CellMolecular Targeted TherapyPrecision MedicineUrinary Bladder NeoplasmsUrologic NeoplasmsHumansImmune Checkpoint InhibitorsImmunoconjugatesBiomarkers, TumorImmune Checkpoint InhibitorsImmunoconjugatesAntibody–drug conjugateImmune checkpoint inhibitorsMetastatic urothelial carcinomaPD-L1 inhibitorSystemic therapy

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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.