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Organoid model predicts bladder cancer treatment response

Date Visible: 
09/25/2024 - 1:00pm

contributed by Nicole Fawcett | Media contact: Anna Megdell, 734-764-2220 | Patients may contact Cancer AnswerLine™ 800-865-1125

Tumor-based model provides precision medicine algorithm to help guide treatment decisions

Bladder cancer cells dividing. Getty Images

Researchers from the University of Michigan Health Rogel Cancer Center developed a model to help predict treatment response in patients with bladder cancer.

“We need better models to predict patient response to therapy in muscle invasive bladder cancer to avoid progression during ineffective therapy that compromises survival,” said Nathan Merrill, Ph.D., a research investigator at Rogel and first author of the paper, published in European Urology.

Researchers obtained tumor samples from 97 bladder cancer patients and created short-term three-dimensional organoid models.

They screened 65 organoids against a panel of clinically relevant drugs.

These short term organoid models faithfully represented the tumor’s molecular characteristics while avoiding some of the shifts in subtyping that emerge with long term organoid cultures. With the short term organoids, the researchers assessed drug response and developed a multi-omic response signature for gemcitabine.

While further validation is needed, the researchers hope this model can be used to help guide treatment decisions for patients with bladder cancer by predicting an individual tumor’s likely response to specific drugs.

“This work took five years to come to fruition because we wanted to refine a personalized oncology platform to bring rigorous drug sensitivity in real time to patients with muscle invasive bladder cancer,” said Sofia D. Merajver, M.D., Ph.D., GreaterGood Breast Cancer Research Professor at the Rogel Cancer Center and co-senior author of the paper.

“This work is generalizable to any other aggressive malignancy. Having a molecular signature to predict response to a drug – gemcitabine being a paradigm – in the neoadjuvant setting stands to potentially benefit thousands of patients,” said co-senior author Aaron Udager, M.D. Ph.D., associate professor of pathology and Rogel Cancer Center member.

Additional authors: Samuel D. Kaffenberger, Liwei Bao, Nathalie Vandecan, Laura Goo, Athena Apfel, Xu Cheng, Zhaoping Qin, Chia-Jen Liu, Armand Bankhead, Yin Wang, Varun Kathawate, Lila Tudrick, Habib A. Serhan, Zackariah Farah, Chad Ellimoottil, Kaled S. Hafez, Lindsey A. Herrel, Jeffrey S. Montgomery, Todd M. Morgan, Simpa S. Salami, Alon Z. Weizer, Peter J. Ulintz, Mark L. Day, Matthew B. Soellner, Phillip L. Palmbos

Funding: National Institutes of Health grants R21 CA259763, K08 CA237638, R01 CA240991, R37 CA273138; Department of Defense grants W81XWH-19-1-0407, W81XWH-21-1-0238, W81XWH-21-1-0663, Prostate Cancer Foundation, Breast Cancer Research Foundation and GreaterGood.

Paper cited: “Integrative Drug Screening and Multiomic Characterization of Patient-derived Bladder Cancer Organoids Reveal Novel Molecular Correlates of Gemcitabine Response,” European Urology. DOI: 10.1016/j.eururo.2024.05.026

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