Abstract
AbstractBladder 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.
Funder
European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program
Publisher
Springer Science and Business Media LLC
Subject
General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry,Multidisciplinary
Reference56 articles.
1. Soukup, V. et al. Prognostic performance and reproducibility of the 1973 and 2004/2016 World Health Organization grading classification systems in non-muscle-invasive bladder cancer: a European Association of Urology Non-muscle Invasive Bladder Cancer Guidelines Panel systematic review. Eur. Urol. 72, 801–813 (2017).
2. Babjuk, M. et al. European association of urology guidelines on non-muscle-invasive bladder cancer (TaT1 and carcinoma in situ)—2019 update. Eur. Urol. 76, 639–657 (2019).
3. Matulewicz, R. S. & Steinberg, G. D. Non-muscle-invasive bladder cancer: overview and contemporary treatment landscape of neoadjuvant chemoablative therapies. Rev. Urol. 22, 43–51 (2020).
4. Miller, K. D. et al. Cancer treatment and survivorship statistics, 2016. CA: A Cancer J. Clin. 66, 271–289 (2016).
5. Facchini, G. et al. Advanced/metastatic bladder cancer: current status and future directions. Eur. Rev. Med. Pharm. Sci. 24, 11536–11552 (2020).
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