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

Author

Listed:
  • Martina Minoli

    (University of Bern)

  • Thomas Cantore

    (University of Trento)

  • Daniel Hanhart

    (University of Bern)

  • Mirjam Kiener

    (University of Bern)

  • Tarcisio Fedrizzi

    (University of Trento)

  • Federico La Manna

    (University of Bern)

  • Sofia Karkampouna

    (University of Bern)

  • Panagiotis Chouvardas

    (University of Bern)

  • Vera Genitsch

    (University of Bern)

  • Antonio Rodriguez-Calero

    (University of Bern
    University of Bern)

  • Eva Compérat

    (Medical University Vienna)

  • Irena Klima

    (University of Bern)

  • Paola Gasperini

    (University of Trento)

  • Bernhard Kiss

    (University of Bern
    Bern University Hospital)

  • Roland Seiler

    (Hospital Center Biel
    University of Bern)

  • Francesca Demichelis

    (University of Trento
    Weill Cornell Medicine)

  • George N. Thalmann

    (University of Bern
    Bern University Hospital)

  • Marianna Kruithof-de Julio

    (University of Bern
    Bern University Hospital
    University of Bern
    Bern University Hospital)

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.

Suggested Citation

  • Martina Minoli & Thomas Cantore & Daniel Hanhart & Mirjam Kiener & Tarcisio Fedrizzi & Federico La Manna & Sofia Karkampouna & Panagiotis Chouvardas & Vera Genitsch & Antonio Rodriguez-Calero & Eva Co, 2023. "Bladder cancer organoids as a functional system to model different disease stages and therapy response," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-37696-2
    DOI: 10.1038/s41467-023-37696-2
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    References listed on IDEAS

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    1. Rameen Beroukhim & Craig H. Mermel & Dale Porter & Guo Wei & Soumya Raychaudhuri & Jerry Donovan & Jordi Barretina & Jesse S. Boehm & Jennifer Dobson & Mitsuyoshi Urashima & Kevin T. Mc Henry & Reid M, 2010. "The landscape of somatic copy-number alteration across human cancers," Nature, Nature, vol. 463(7283), pages 899-905, February.
    2. Hannah Farmer & Nuala McCabe & Christopher J. Lord & Andrew N. J. Tutt & Damian A. Johnson & Tobias B. Richardson & Manuela Santarosa & Krystyna J. Dillon & Ian Hickson & Charlotte Knights & Niall M. , 2005. "Targeting the DNA repair defect in BRCA mutant cells as a therapeutic strategy," Nature, Nature, vol. 434(7035), pages 917-921, April.
    3. Sofia Karkampouna & Federico La Manna & Andrej Benjak & Mirjam Kiener & Marta De Menna & Eugenio Zoni & Joël Grosjean & Irena Klima & Andrea Garofoli & Marco Bolis & Arianna Vallerga & Jean-Philippe T, 2021. "Patient-derived xenografts and organoids model therapy response in prostate cancer," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
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