A novel prognostic model based on epithelial cell progression genes identifies OAS1 as a suppressor of bladder cancer aggressiveness

We established a novel prognostic model for BLCA based on epithelial cell tumor progression-associated genes, which serves as a robust predictor for patient outcomes and immunotherapeutic responsiveness. Our findings further highlight <i>OAS1</i> as a key gene that suppresses the aggressive phenotypes of BLCA cells, suggesting it is a potential therapeutic target. This study provides valuable insights for precise prognosis and treatment stratification of BLCA patients.

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Publication Details

Journal
Frontiers in Molecular Biosciences
Published
2026-01-08
DOI
https://doi.org/10.3389/fmolb.2025.1716130
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00

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article

A novel prognostic model based on epithelial cell progression genes identifies OAS1 as a suppressor of bladder cancer aggressiveness

Y B Guo, Xuerui Chen, Liangbin Lin, Hui Yu et al.
Frontiers in Molecular Biosciences
Single-cell and spatial transcriptomics
article

A novel prognostic model based on epithelial cell progression genes identifies OAS1 as a suppressor of bladder cancer aggressiveness

Y B Guo, Xuerui Chen, Liangbin Lin, Hui Yu, Xu Su, Fangyang Zhong, Kui Zeng, Miaoyu Zhang
article en

Abstract

We established a novel prognostic model for BLCA based on epithelial cell tumor progression-associated genes, which serves as a robust predictor for patient outcomes and immunotherapeutic responsiveness. Our findings further highlight <i>OAS1</i> as a key gene that suppresses the aggressive phenotypes of BLCA cells, suggesting it is a potential therapeutic target. This study provides valuable insights for precise prognosis and treatment stratification of BLCA patients.

Frontiers in Molecular BiosciencesVol. 12
Third People's Hospital of Chengdu (CN), Southwest Jiaotong University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation
No poverty
Openalex Percentile: Top 96%
Single-cell and spatial transcriptomics
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