HPV-Associated Gene Signatures in Bladder Cancer
Author Information
Author(s): Tang Zhicheng, Qian Yuxin, Wang Ni, Chen Yinqiu, Huang Haojun, Zhang Jiahao, Luo Hongcheng, Lu Zechao, Li Zhibiao, He Zhaohui, Tang Fucai
Primary Institution: The Eighth Affiliated Hospital, Sun Yat-sen University
Hypothesis
The study aims to identify HPV-associated genes that can serve as prognostic indicators and therapeutic targets in bladder cancer.
Conclusion
The study developed a risk-assessment model identifying 13 HPV-associated genes that may serve as prognostic indicators and therapeutic targets in bladder cancer.
Supporting Evidence
- 13 HPV-associated genes were identified for the risk model.
- Kaplan-Meier survival analyses showed that high-risk patients had significantly shorter overall survival.
- The model's predictive accuracy was validated with ROC curves showing AUC values of 0.751, 0.752, and 0.774 for 1-, 3-, and 5-year overall survival.
Takeaway
Researchers found 13 important genes linked to bladder cancer that could help doctors predict how patients will do and how they might respond to treatments.
Methodology
The study used bioinformatics methods to analyze gene expression data from bladder cancer patients and developed a risk prediction model based on identified HPV-associated genes.
Potential Biases
The study is retrospective and relies on public databases, which may introduce biases.
Limitations
The findings require further validation through functional experiments and comprehensive clinical data.
Participant Demographics
The study included 431 bladder cancer patients, with a refined dataset of 409 patients after excluding incomplete data.
Statistical Information
P-Value
p<0.05
Confidence Interval
95% CI: 1.242-1.363
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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