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Zebrafish Xenograft Model for Predicting Cisplatin Efficacy in Muscle-Invasive Bladder Cancer
Yusuke Sugino1,2, Xin Bao1,2, Sho Sekito1,3
1Department of Nephro-Urologic Surgery and Andrology, Mie University Graduate School of Medicine, Tsu, Japan.
Cancer Science
|October 8, 2025
Summary
A novel zebrafish model accurately predicts cisplatin (CDDP) response in muscle-invasive bladder cancer (MIBC). This functional drug testing platform offers a promising tool for personalized treatment strategies in bladder cancer patients.
Area of Science:
- Oncology
- Translational Medicine
- Zebrafish Xenografts
Background:
- Muscle-invasive bladder cancer (MIBC) standard treatment involves cisplatin (CDDP)-based neoadjuvant chemotherapy (NAC) and radical cystectomy.
- Limited patient response rates (approx. 40%) to NAC highlight the need for predictive tools.
- Zebrafish patient-derived xenograft (zPDX) models are cost-effective for drug testing but not yet established for MIBC.
Purpose of the Study:
- To develop and validate a zPDX model for assessing CDDP sensitivity in MIBC.
- To establish a clinically relevant platform for functional drug testing in bladder cancer.
Main Methods:
- Developed a zPDX model using clinical bladder cancer specimens.
- Validated the model through cell line-derived zPDXs, comparison with mouse PDXs (mPDX), and correlation with clinical outcomes.
- Utilized an image-based platform for quantifying drug response via fluorescent area measurement.
Main Results:
- Successfully established and validated the zPDX model for CDDP sensitivity evaluation.
- Demonstrated robustness through complementary assays including CAGE and immunofluorescence.
- Achieved successful prediction of CDDP efficacy using patient-derived tumors in zebrafish.
Conclusions:
- The zPDX model is a clinically relevant and experimentally validated tool for assessing CDDP sensitivity in bladder cancer.
- This platform shows potential for guiding personalized treatment decisions in MIBC.
- Further validation in larger cohorts is warranted to fully integrate this model into clinical practice.

