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Updated: Jul 14, 2026

An Orthotopic Bladder Cancer Model for Gene Delivery Studies
Published on: December 1, 2013
Single-cell transcriptomic profiling combined with Mendelian randomization illuminates molecular drivers of bladder
Junrui He1,2, Zhuoying Jiang3,4, Shan Peng5,6
1Department of Urology, Nanchong Central Hospital Affiliated to North Sichuan Medical College, Nanchong, 637000, China.
This study identifies ARHGEF18 and YPEL5 as key regulators in bladder cancer development, linking genetic risk to cellular mechanisms. Findings reveal ARHGEF18 increases risk while YPEL5 offers protection, impacting tumor cell behavior.
Area of Science:
- Oncology
- Genetics
- Molecular Biology
Background:
- Bladder cancer is characterized by cellular heterogeneity, complicating the identification of key molecular drivers.
- The interplay between genetic susceptibility and transcriptional activity in bladder cancer pathogenesis is not fully understood.
Purpose of the Study:
- To identify genetically and transcriptionally relevant molecular drivers of bladder cancer.
- To establish a scalable strategy for linking genetic risk to cell-type-specific mechanisms in bladder cancer.
Main Methods:
- Single-cell transcriptomics integrated with Seurat and Harmony for data analysis.
- Causal inference using genome-wide association and expression quantitative trait loci data to prioritize genes.
- Functional validation via immunohistochemistry, qPCR, Western blotting, and in vitro cell-based assays.
Main Results:
- ARHGEF18 and YPEL5 were identified as significant bladder cancer-related genes through Mendelian randomization.
- ARHGEF18 was associated with increased bladder cancer risk, while YPEL5 showed a protective effect.
- In vitro studies confirmed that ARHGEF18 knockdown and YPEL5 overexpression modulated bladder cancer cell proliferation, migration, invasion, and apoptosis.
Conclusions:
- ARHGEF18 and YPEL5 are validated as genetically and transcriptionally supported regulators of bladder cancer.
- This research provides a novel approach to connect genetic predisposition to specific cellular functions in bladder cancer.
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