Conditional Reprogramming Modeling of Bladder Cancer for Clinical Translation

Author:

Daneshdoust Danyal1ORCID,Yin Ming12,Luo Mingjue1,Sundi Debasish13ORCID,Dang Yongjun4,Lee Cheryl13,Li Jenny1,Liu Xuefeng15ORCID

Affiliation:

1. Comprehensive Cancer Center, Ohio State University, Columbus, OH 43210, USA

2. Department of Medicine, Wexner Medical Center, Ohio State University, Columbus, OH 43210, USA

3. Department of Urology, Wexner Medical Center, Ohio State University, Columbus, OH 43210, USA

4. Center for Novel Target and Therapeutic Intervention, Chongqing Medical University, Chongqing 400016, China

5. Departments of Pathology, Urology and Radiation Oncology, Wexner Medical Center, Ohio State University, Columbus, OH 43210, USA

Abstract

The use of advanced preclinical models has become increasingly important in drug development. This is particularly relevant in bladder cancer, where the global burden of disease is quite high based on prevalence and a relatively high rate of lethality. Predictive tools to select patients who will be responsive to invasive or morbid therapies (chemotherapy, radiotherapy, immunotherapy, and/or surgery) are largely absent. Patient-derived and clinically relevant models including patient-derived xenografts (PDX), organoids, and conditional reprogramming (CR) of cell cultures efficiently generate numerous models and are being used in both basic and translational cancer biology. These CR cells (CRCs) can be reprogrammed to maintain a highly proliferative state and reproduce the genomic and histological characteristics of the parental tissue. Therefore, CR technology may be a clinically relevant model to test and predict drug sensitivity, conduct gene profile analysis and xenograft research, and undertake personalized medicine. This review discusses studies that have utilized CR technology to conduct bladder cancer research.

Funder

NIH

Publisher

MDPI AG

Subject

General Medicine

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