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Updated: Sep 12, 2025

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Magnetic Resonance Imaging Assessment of Carcinogen-induced Murine Bladder Tumors
Published on: March 29, 2019
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Risk Score Model of Aging-Related Genes for Bladder Cancer and Its Application in Clinical Prognosis.
Kun Lu1,2, Liu Chao3,4, Jin Wang5
1Department of Oncology, The Specialized Suqian Hospital of Xuzhou Medical University, Suqian, China.
JCO Clinical Cancer Informatics
|August 8, 2025
Summary
A new 12-gene aging-related gene (ARG) signature accurately predicts bladder cancer (BLCA) prognosis and immunotherapy response. This ARG-based risk score aids in identifying high-risk patients and personalizing treatment strategies for better outcomes.
Area of Science:
- Oncology
- Genomics
- Biomarker Discovery
Background:
- Bladder cancer (BLCA) presents significant challenges due to its heterogeneity, high recurrence rates, and poor survival.
- There is a critical need for precise biomarkers for early risk stratification and improved patient management in BLCA.
Purpose of the Study:
- To develop and validate a prognostic model using aging-related genes (ARGs) for BLCA.
- To assess the model's ability to predict survival, immunotherapy response, tumor immune microenvironment interactions, and drug sensitivity in BLCA patients.
Main Methods:
- Utilized transcriptomic and clinical data from TCGA and GEO databases.
- Constructed a 12-gene ARG prognostic signature using LASSO and Cox regression.
- Validated the model's predictive performance and prognostic independence through survival analyses and external datasets.
Main Results:
- Identified a 12-gene ARG signature that significantly stratifies patients into high-risk and low-risk groups with distinct survival outcomes (P < .0001).
- The ARG-based risk score demonstrated strong predictive accuracy (AUC 0.772-0.794) and was confirmed as an independent prognostic factor.
- The signature correlated with immune cell infiltration and predicted chemosensitivity, validated in external cohorts.
Conclusions:
- The developed ARG-based risk score is a reliable independent predictor of clinical prognosis in bladder cancer.
- This signature offers valuable insights into the tumor immune microenvironment and can guide personalized treatment strategies for BLCA.
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