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

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

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BORIS DOI
10.48350/181843
Date of Publication
April 18, 2023
Publication Type
Article
Division/Institute

Department for BioMed...

Department for BioMed...

Universitätsklinik fü...

Institut für Gewebeme...

Author
Minoli, Martinaorcid-logo
Department for BioMedical Research, Forschungsgruppe Urologie
Cantore, Thomas
Hanhart, Daniel Walterorcid-logo
Department for BioMedical Research (DBMR)
Kiener, Mirjam Susanna
Department for BioMedical Research, Forschungsgruppe Urologie
Fedrizzi, Tarcisio
La Manna, Federico
Department for BioMedical Research, Forschungsgruppe Urologie
Karkampouna, Sofia
Department for BioMedical Research, Forschungsgruppe Urologie
Chouvardas, Panagiotis
Department for BioMedical Research (DBMR)
Genitsch Gratwohl, Veraorcid-logo
Institut für Gewebemedizin und Pathologie
Rodríguez Calero, José Antonio
Institut für Gewebemedizin und Pathologie
Department for BioMedical Research (DBMR)
Compérat, Eva
Klima, Irena
Department for BioMedical Research, Forschungsgruppe Urologie
Gasperini, Paola
Kiss, Bernhard
Universitätsklinik für Urologie
Department for BioMedical Research, Forschungsgruppe Urologie
Seiler-Blarer, Roland
Department for BioMedical Research, Forschungsgruppe Urologie
Demichelis, Francesca
Thalmann, George
Department for BioMedical Research, Forschungsgruppe Urologie
Universitätsklinik für Urologie
Kruithof-de Julio, Marianna
Universitätsklinik für Urologie
Department for BioMedical Research, Forschungsgruppe Urologie
Subject(s)

600 - Technology::610...

500 - Science::570 - ...

Series
Nature Communications
ISSN or ISBN (if monograph)
2041-1723
Publisher
Springer Nature
Language
English
Publisher DOI
10.1038/s41467-023-37696-2
PubMed ID
37072390
Description
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.
Handle
https://boris-portal.unibe.ch/handle/20.500.12422/166563
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File(s)
FileFile TypeFormatSizeLicensePublisher/Copright statementContent
s41467-023-37696-2.pdftextAdobe PDF4.44 MBAttribution (CC BY 4.0)publishedOpen
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