Evidence map›Paper›PMID 42059898›Full record

ReviewPathologie (Heidelberg, Germany)2026

[Diagnostic and predictive molecular pathology of urothelial carcinoma : Current status and outlook for the future].

Sebastian Rauch, Fabienne Lange, Arndt Hartmann, Markus Eckstein

Abstract readEnglish AbstractReview
PubMed Publisher
In one paragraph

Review in Pathologie (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.

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

4 authors.

Sebastian RauchInstitut für Pathologie, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Krankenhausstraße 8-10, 91054, Erlangen, Deutschland.
Fabienne LangeInstitut für Pathologie, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Krankenhausstraße 8-10, 91054, Erlangen, Deutschland. fabienne.lange@uk-erlangen.de.ORCID http://orcid.org/0000-0003-2707-7676
Arndt HartmannInstitut für Pathologie, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Krankenhausstraße 8-10, 91054, Erlangen, Deutschland. arndt.hartmann@uk-erlangen.de.
Markus EcksteinInstitut für Pathologie, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Krankenhausstraße 8-10, 91054, Erlangen, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUrothelial carcinoma is characterized by pronounced molecular and histological heterogeneity, which significantly influences both its tumorigenesis and therapeutic response. Targeted molecular alterations can be useful tools in everyday pathology for distinguishing between important differential diagnoses and for confirming diagnoses.

aimsThis article aims to provide a brief overview of the diagnostic and predictive molecular changes in urothelial carcinoma and to relate these to therapeutic implications. MATERIAL AND

methodsThis article was written as a narrative overview article. RESULTS AND DISCUSSION: The integration of molecular alterations with histological subtypes and morphological changes enables improved diagnostic accuracy and supports the targeted selection of predictive testing, particularly with regard to FGFR-, HER2-, and PD-(L)1-targeted therapies as well as antibody-drug conjugates.

Indexed as

Carcinoma, Transitional CellPathology, MolecularUrinary Bladder NeoplasmsBiomarkers, TumorDiagnosis, DifferentialHumansMolecular Targeted TherapyPrognosisUrotheliumBiomarkers, TumorB7-H1 antigenCarcinogenesisDifferential diagnosisImmunoconjugatesTransitional cell carcinoma

Identifiers

What OpenQuestion holds

Textmetadata
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.