Evidence map›Paper›PMID 42362411›Full record

ReviewEuropean urology2026

Histological Subtypes and Divergent Differentiation of Urothelial Carcinoma: Histology, Genomics, and Management Implications.

Can Aydogdu, Laura Bukavina, Liang Cheng, Hikmat A Al-Ahmadie, Omar Alhalabi, Jason R Brown, Antonio Lopez-Beltran, Petros Grivas, Clara Hwang, G Daniel Grass and 8 more

Abstract readReview
In one paragraph

Review in European urology, 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

18 authors.

Can AydogduCleveland Clinic Glickman Urologic Institute & Lerner College of Medicine, Cleveland, OH, USA.
Laura BukavinaCleveland Clinic Glickman Urologic Institute & Lerner College of Medicine, Cleveland, OH, USA.
Liang ChengBrown University/Lifespan Medical Center, Providence, RI, USA.
Hikmat A Al-AhmadieMemorial Sloan Kettering Cancer Center, New York, NY, USA.
Omar AlhalabiThe University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Jason R BrownUniversity Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, OH, USA.
Antonio Lopez-BeltranUniversity of Cordoba, Cordoba, Spain.
Petros GrivasFred Hutch Cancer Center, University of Washington, Seattle, WA, USA.
Clara HwangHenry Ford Health, Detroit, MI, USA.
G Daniel GrassH. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
Ashish M KamatThe University of Texas MD Anderson Cancer Center, Houston TX, USA.
Jonathan ChatzkelH. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
Omar MianFred Hutch Cancer Center, University of Washington, Seattle, WA, USA.
Andrea NecchiFondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Jeff RossSUNY Upstate Medical University, Syracuse, NY, USA.
Andrea B ApoloCenter for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA.
Philippe E SpiessH. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
Roger LiH. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA. Electronic address: Roger.Li@moffitt.org.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Rare GU tumors projectsZIABC011928 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI APOLO, ANDREA · 2019 to 2025
$4.6M
Intramural NIH HHS ZIA BC011928NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

BACKGROUND AND

objectiveHistological subtypes and divergent differentiation are common in bladder cancer. Each subtype has distinct biology and clinical features. We aim to summarize pathology, molecular features, and outcomes of the most common bladder cancer subtypes to guide management.

methodsWe performed a narrative review of cohort studies, clinical trials, and population-based analyses assessing morphology, immunophenotype, genomic alterations, and outcomes following various localized and systemic therapies in patients with bladder cancer subtypes. KEY FINDINGS AND LIMITATIONS: Histological subtypes are often understaged on transurethral resection of bladder tumor and commonly demonstrate lymph node metastasis, supporting early radical cystectomy (RC) even for certain clinically non-muscle-invasive bladder cancers. Small cell urothelial carcinoma (UC) consistently benefits from platinum/etoposide-based chemotherapy regimens, whereas predominant squamous, plasmacytoid, sarcomatoid, and micropapillary tumors demonstrate variable response rates to systemic therapies used in conventional UC. Trimodality therapy may approximate RC in locoregional control for small cell UC and appears inferior in cases with predominant squamous and adenocarcinoma. Genomic profiling highlights actionable alterations, albeit with unclear clinical implications. Immune checkpoint blockade and antibody-drug conjugates have been used sparingly against subtype bladder cancers and have anecdotally demonstrated activity across several subtypes. CONCLUSIONS AND CLINICAL IMPLICATIONS: Histological subtypes and divergent differentiation of UC represent high-risk yet biologically distinct disease phenotypes that may not conform to the current "one-size-fits-all" treatment paradigm. More in-depth clinical and translational analyses with robust, adequately powered cohorts are required to further understand the clinical behavior of each unique bladder cancer subtype and to customize the optimal therapeutic strategies.

Indexed as

Divergent differentiationHistologic subtypesMolecular genomicsNeoadjuvant chemotherapyRadical cystectomySystemic therapyUrothelial carcinomaVariant histology

Identifiers

PMID42362411
PMCPMC13336308

What OpenQuestion holds

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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.