Exploring prognostic DNA methylation genes in bladder cancer: a comprehensive analysis

Area of Science:

• Oncology
• Genetics
• Bioinformatics

Background:

• DNA methylation plays a crucial role in cancer development and progression.
• Identifying prognostic biomarkers is essential for improving bladder cancer (BLCA) patient outcomes.

Purpose of the Study:

• To investigate prognostic DNA methylation sites and associated genes in bladder cancer (BLCA).
• To develop a predictive model for BLCA prognosis and guide therapeutic strategies.

Main Methods:

• Utilized bulk and single-cell sequencing data, methylation data, and Cox survival analysis.
• Applied machine learning algorithms to identify key prognostic genes (e.g., AHNAK, RNH1, TAP1).
• Constructed and validated a Nomogram model incorporating clinical factors and identified genes.

Main Results:

• Identified a set of prognostic methylation genes and key epithelial cell-specific genes in BLCA.
• Developed a validated Nomogram model demonstrating good diagnostic and prognostic efficacy.
• Found significant correlations between immune cell infiltration and Nomogram scores.
• Drug sensitivity analysis revealed potential therapeutic targets.

Conclusions:

• The identified genes and Nomogram model serve as valuable tools for BLCA prognostic evaluation.
• This research provides a theoretical foundation for personalized treatment and drug selection in BLCA.
• Understanding DNA methylation's impact on BLCA prognosis is critical for advancing patient care.