Machine-learning-based determination of sex-related bladder cancer biomarkers

Abstract excerpt

Bladder cancer exhibits sex-specific behavior, occurring more frequently in males but progressing to advanced stages more commonly in females. The activation of sex hormone receptors may explain these differences, but the exact genetic drivers remain poorly understood. Furthermore, current bladder cancer biomarkers have inconsistent sensitivities and specificities in practice, making early diagnosis a challenge. T...

Topics

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• Cell Proliferation
• Gene Expression Regulation, Neoplastic
• Mendelian Randomization Analysis
• Quantitative Trait Loci
• Single-Cell Analysis
• Single-Cell Gene Expression Analysis
• Transcriptome
• Urinary Bladder Neoplasms

Identifiers and source

Literature Corpus work

4b7fbded-2c18-554b-94aa-b3a61d560091

DOI

10.64898/2025.12.20.695175