Evidence map›Paper›PMID 37072390›Full record

ArticleNature communications2023

Bladder cancer organoids as a functional system to model different disease stages and therapy response.

Martina Minoli, Thomas Cantore, Daniel Hanhart, Mirjam Kiener, Tarcisio Fedrizzi, Federico La Manna, Sofia Karkampouna, Panagiotis Chouvardas, Vera Genitsch, Antonio Rodriguez-Calero and 8 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 1 pooled it
27.9field-weighted citation impact, top 1% of its field
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

61 citing papers in PubMed, 1 synthesis or guideline pooled it, 85 citations in OpenAlex.

  1. Pooled it
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  17. Precision-Cut Bladder Slices: A Novel Model for the Study of Bladder Fibrosis and Potential Anti-Fibrotic Agents.International journal of urology : official journal of the Japanese Urological Association · 2026
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1 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 3 institutions in 5 countries.

Martina Minoli *Department for BioMedical Research, Urology Research Laboratory, University of Bern, 3008, Bern, Switzerland.
Thomas Cantore *Department of Cellular, Computational and Integrative Biology, University of Trento, 38123, Trento, Italy.
Daniel HanhartDepartment for BioMedical Research, Urology Research Laboratory, University of Bern, 3008, Bern, Switzerland.ORCID 0000-0003-0665-8607
Mirjam KienerDepartment for BioMedical Research, Urology Research Laboratory, University of Bern, 3008, Bern, Switzerland.ORCID 0000-0003-1126-0476
Tarcisio FedrizziDepartment of Cellular, Computational and Integrative Biology, University of Trento, 38123, Trento, Italy.
Federico La MannaDepartment for BioMedical Research, Urology Research Laboratory, University of Bern, 3008, Bern, Switzerland.ORCID 0000-0003-3644-8395
Sofia KarkampounaDepartment for BioMedical Research, Urology Research Laboratory, University of Bern, 3008, Bern, Switzerland.ORCID 0000-0002-1716-5237
Panagiotis ChouvardasDepartment for BioMedical Research, Urology Research Laboratory, University of Bern, 3008, Bern, Switzerland.ORCID 0000-0003-1527-3151
Vera GenitschInstitute of Tissue Medicine and Pathology, University of Bern, 3008, Bern, Switzerland.
Antonio Rodriguez-CaleroInstitute of Tissue Medicine and Pathology, University of Bern, 3008, Bern, Switzerland.ORCID 0000-0002-2744-2381
Eva CompératDepartment of Pathology, General Hospital, Medical University Vienna, 1090, Vienna, Austria.
Irena KlimaDepartment for BioMedical Research, Urology Research Laboratory, University of Bern, 3008, Bern, Switzerland.
Paola GasperiniDepartment of Cellular, Computational and Integrative Biology, University of Trento, 38123, Trento, Italy.
Bernhard KissDepartment for BioMedical Research, Urology Research Laboratory, University of Bern, 3008, Bern, Switzerland.
Roland SeilerDepartment of Urology, Hospital Center Biel, 2501, Biel, Switzerland.ORCID 0000-0002-3529-2088
Francesca DemichelisDepartment of Cellular, Computational and Integrative Biology, University of Trento, 38123, Trento, Italy.ORCID 0000-0002-8266-8631
George N ThalmannDepartment for BioMedical Research, Urology Research Laboratory, University of Bern, 3008, Bern, Switzerland.
Marianna Kruithof-de JulioDepartment for BioMedical Research, Urology Research Laboratory, University of Bern, 3008, Bern, Switzerland. marianna.kruithofdejulio@unibe.ch.ORCID 0000-0002-6085-7706
University of Bern · CHUniversity of Trento · ITVienna General Hospital · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bladder Cancer (BLCa) inter-patient heterogeneity is the primary cause of treatment failure, suggesting that patients could benefit from a more personalized treatment approach. Patient-derived organoids (PDOs) have been successfully used as a functional model for predicting drug response in different cancers. In our study, we establish PDO cultures from different BLCa stages and grades. PDOs preserve the histological and molecular heterogeneity of the parental tumors, including their multiclonal genetic landscapes, and consistently share key genetic alterations, mirroring tumor evolution in longitudinal sampling. Our drug screening pipeline is implemented using PDOs, testing standard-of-care and FDA-approved compounds for other tumors. Integrative analysis of drug response profiles with matched PDO genomic analysis is used to determine enrichment thresholds for candidate markers of therapy response and resistance. Finally, by assessing the clinical history of longitudinally sampled cases, we can determine whether the disease clonal evolution matched with drug response.

Indexed as

Urinary Bladder NeoplasmsDrug Evaluation, PreclinicalHumansOrganoids

Identifiers

PMID37072390
PMCPMC10113240
OpenAlexW4366336677

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.