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Updated: Jun 25, 2026
07:48
An Orthotopic Bladder Cancer Model for Gene Delivery Studies
Published on: December 1, 2013
12.5K
Conditional Reprogramming Modeling of Bladder Cancer for Clinical Translation
Danyal Daneshdoust1, Ming Yin1,2, Mingjue Luo1
1Comprehensive Cancer Center, Ohio State University, Columbus, OH 43210, USA.
Cells
|July 14, 2023
Summary
Conditional reprogramming (CR) technology offers a promising preclinical model for bladder cancer research. This method generates clinically relevant models to predict drug sensitivity and advance personalized medicine for this lethal disease.
Area of Science:
- Oncology
- Translational Research
- Biotechnology
Background:
- Bladder cancer presents a significant global health burden with high lethality.
- Current predictive tools for patient response to cancer therapies are limited.
- Advanced preclinical models are crucial for effective drug development in oncology.
Purpose of the Study:
- To review the application of conditional reprogramming (CR) technology in bladder cancer research.
- To highlight the potential of CR cells (CRCs) as clinically relevant models.
- To explore the utility of CR technology in personalized medicine approaches for bladder cancer.
Main Methods:
- Review of studies utilizing conditional reprogramming (CR) technology for bladder cancer.
- Analysis of CR cells (CRCs) for their ability to maintain proliferative state and mimic parental tissue characteristics.
- Evaluation of CR technology in generating patient-derived and clinically relevant models.
Main Results:
- CR technology enables the generation of numerous, clinically relevant preclinical models for bladder cancer.
- CRCs reproduce the genomic and histological features of the original tumor tissue.
- CR technology demonstrates potential for drug sensitivity prediction and personalized medicine.
Conclusions:
- Conditional reprogramming (CR) technology is a valuable tool for bladder cancer research.
- CR offers a reproducible and scalable method for creating patient-specific cancer models.
- This technology facilitates advancements in drug discovery, gene profiling, and personalized treatment strategies for bladder cancer.
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