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DOI 10.3390/ijms27136082

Медицинская библиотека · International journal of molecular sciences · 2026

Bioprinted Bladder Cancer Organoids Model System for Prediction of Chemotherapy Response and Drug Screening.

Bissette Randall G, Congress Zachary, Nomdedeu-Sancho Gemma, Wajih Nadeem, Maddeboina Krishnaiah, Soker Shay

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Аннотация

Bladder cancer is the fifth most common cancer in the United States, causing approximately 17,000 deaths annually. Due to its vast genetic and molecular heterogeneity, presentation, prognosis, and therapeutic response vary greatly between individuals. To improve patient outcomes, there is a need for better drug-screening platforms. The genetic heterogeneity of bladder cancer often leads to chemotherapy resistance or low response rates. Moreover, chemotherapies are often contraindicated in patients with select comorbidities. Organoids offer a better option to replicate the tumor microenvironment than traditional 2D cell cultures, improving drug development and personalized therapy. In this study, we bioprinted gelatin-methacrylol (GelMA)-based organoids containing bladder cancer cell lines of different grades to model muscle-invasive bladder cancer. In the organoids, we observed distinct grade-dependent tumor proliferation and progression dynamics. Treatment with standard-of-care chemotherapies revealed a grade-dependent tumor response consistent with in vivo patient data, highlighting the suitability of these organoids for rapid, reliable drug testing. Lastly, we used the organoids to test LCI139, a novel small-molecule inhibitor of PI3K, CDK4/6, and CDK9 designed for the treatment of epithelial cancers, underscoring the potential of our model to evaluate the efficacy of newly developed drugs. The ability to quickly biofabricate reproducible bladder cancer organoids that are adaptable to different tumor grades represents a novel strategy to create an in vitro platform with strong potential to predict treatment outcomes of bladder cancer patients.

Для цитирования: Bissette Randall G, Congress Zachary, Nomdedeu-Sancho Gemma, Wajih Nadeem, Maddeboina Krishnaiah, Soker Shay. Bioprinted Bladder Cancer Organoids Model System for Prediction of Chemotherapy Response and Drug Screening.. International journal of molecular sciences. 2026. DOI: 10.3390/ijms27136082.

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