Evidence map›Paper›PMID 39366934›Full record

ArticleNature communications2024

The genomic and transcriptomic landscape of metastastic urothelial cancer.

Yohann Loriot, Maud Kamal, Laurene Syx, Remy Nicolle, Celia Dupain, Naoual Menssouri, Igor Duquesne, Pernelle Lavaud, Claudio Nicotra, Maud Ngocamus and 21 more

Erratum issuedAbstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Trial
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  3. OncogenicJournal for immunotherapy of cancer · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

31 authors.

Yohann Loriot *Gustave Roussy, DITEP, Gustave Roussy, Villejuif, France. yohann.loriot@gustaveroussy.fr.ORCID 0000-0002-8338-1739
Maud Kamal *Department of Drug Development and Innovation (D3i), Institut Curie, 75005, Paris, France. maud.kamal@gustaveroussy.fr.ORCID 0000-0003-1466-0950
Laurene SyxBioinformatics and Computational Systems Biology of Cancer, Institut Curie, PSL Research University, Mines Paris Tech, INSERM U900, 75005, Paris, France.ORCID 0009-0005-5749-0738
Remy NicolleUniversité Paris Cité, Centre de Recherche sur l'Inflammation (CRI), INSERM, U1149, CNRS, ERL 8252, F-, 75018, Paris, France.ORCID 0000-0001-8084-1173
Celia DupainDepartment of Drug Development and Innovation (D3i), Institut Curie, 75005, Paris, France.
Naoual MenssouriINSERM 981, Université Paris-Saclay, Gustave Roussy, Villejuif, France.
Igor DuquesneINSERM 981, Université Paris-Saclay, Gustave Roussy, Villejuif, France.
Pernelle LavaudINSERM 981, Université Paris-Saclay, Gustave Roussy, Villejuif, France.
Claudio NicotraGustave Roussy, DITEP, Gustave Roussy, Villejuif, France.
Maud NgocamusGustave Roussy, DITEP, Gustave Roussy, Villejuif, France.
Ludovic LacroixBiopath department, Gustave Roussy, Villejuif, France.ORCID 0000-0003-2535-1010
Lambros TselikasDepartment of interventional radiology, Gustave Roussy, Villejuif, France.ORCID 0000-0002-8878-4916
Gilles CrehangeDepartment of Radiothérapie, Institut Curie, 75005 Paris & 92210 Saint-Cloud, Paris, France.
Luc FribouletINSERM 981, Université Paris-Saclay, Gustave Roussy, Villejuif, France.ORCID 0000-0002-1129-4978
Zahra Castel-AjgalDepartment of Drug Development and Innovation (D3i), Institut Curie, 75005, Paris, France.
Yann NeuzilletDepartment of Urology, Foch Hospital, Suresnes, France.ORCID 0000-0003-4345-3598
Edith BorcomanDepartment of Drug Development and Innovation (D3i), Institut Curie, 75005, Paris, France.
Philippe BeuzebocDepartment of Urology, Foch Hospital, Suresnes, France.
Grégoire MarretDepartment of Drug Development and Innovation (D3i), Institut Curie, 75005, Paris, France.
Tom GutmanBioinformatics and Computational Systems Biology of Cancer, Institut Curie, PSL Research University, Mines Paris Tech, INSERM U900, 75005, Paris, France.
Jennifer WongDepartment of Genetics, Institut Curie, 75005, Paris, France.
Francois RadvanyiUMR144, Institut Curie, 75005, Paris, France.ORCID 0000-0002-5696-6424
Sylvain DureauBiometry unit, direction of clinical research, Institut Curie, 75005, Paris, France.
Jean-Yves ScoazecINSERM 981, Université Paris-Saclay, Gustave Roussy, Villejuif, France.ORCID 0000-0003-1604-6823
Nicolas ServantBioinformatics and Computational Systems Biology of Cancer, Institut Curie, PSL Research University, Mines Paris Tech, INSERM U900, 75005, Paris, France.ORCID 0000-0003-1678-7410
Yves AlloryDepartment of Pathology, Institut Curie, PSL Research University, 75005, Paris, France.ORCID 0000-0002-5526-077X
Benjamin BesseINSERM 981, Université Paris-Saclay, Gustave Roussy, Villejuif, France.ORCID 0000-0001-5090-8189
Fabrice AndreINSERM 981, Université Paris-Saclay, Gustave Roussy, Villejuif, France.ORCID 0000-0001-5795-8357
Christophe Le TourneauDepartment of Drug Development and Innovation (D3i), Institut Curie, 75005, Paris, France.ORCID 0000-0001-9772-4686
Christophe MassardGustave Roussy, DITEP, Gustave Roussy, Villejuif, France.
Ivan BiecheDepartment of Genetics, Institut Curie, 75005, Paris, France.

Funding

Agence Nationale de la Recherche (French National Research Agency) ANR-10-EQPX-03Agence Nationale de la Recherche (French National Research Agency) ANR-10-INBS-09-08
6 · The paper itself

Abstract

Metastatic urothelial carcinoma (mUC) is a lethal cancer, with limited therapeutic options. Large-scale studies in early settings provided critical insights into the genomic and transcriptomic characteristics of non-metastatic UC. The genomic landscape of mUC remains however unclear. Using Whole Exome (WES) and mRNA sequencing (RNA-seq) performed on metastatic biopsies from 111 patients, we show that driver genomic alterations from mUC were comparable to primary UC (TCGA data). APOBEC, platin, and HRD mutational signatures are the most prevalent in mUC, identified in 56%, 14%, and 9% of mUC samples, respectively. Molecular subtyping using consensus transcriptomic classification in mUC shows enrichment in neuroendocrine subtype. Paired samples analysis reveals subtype heterogeneity and temporal evolution. We identify potential therapeutic targets in 73% of mUC patients, of which FGFR3 (26%), ERBB2 (7%), TSC1 (7%), and PIK3CA (13%) are the most common. NECTIN4 and TACSTD2 are highly expressed regardless of molecular subtypes, FGFR3 alterations and sites of metastases.

Indexed as

Exome SequencingMutationReceptor, Fibroblast Growth Factor, Type 3TranscriptomeAgedAged, 80 and overAntigens, NeoplasmAPOBEC DeaminasesCarcinoma, Transitional CellCell Adhesion MoleculesClass I Phosphatidylinositol 3-KinasesCytidine DeaminaseErb-b2 Receptor Tyrosine KinasesFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticAntigens, NeoplasmAPOBEC DeaminasesCell Adhesion MoleculesClass I Phosphatidylinositol 3-KinasesCytidine DeaminaseERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesFGFR3 protein, humanNectinsPIK3CA protein, humanReceptor, Fibroblast Growth Factor, Type 3TSC1 protein, humanTuberous Sclerosis Complex 1 Protein

Identifiers

PMID39366934
PMCPMC11452614

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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.