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 significant differences in overall survival between high-risk and low-risk groups.
- ROC curves indicated the model's reliability in predicting prognosis.
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 prognostic risk model based on identified HPV-associated genes.
Potential Biases
The study is retrospective and relies on public databases, which may introduce bias.
Limitations
The findings require further validation through functional experiments and comprehensive clinical data.
Participant Demographics
The study analyzed data from 431 bladder cancer patients, with a refined dataset of 409 patients.
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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