Review of Urinary Tumor DNA and Exosome Detection for Bladder Cancer Management

A 13.1 KB Excel file authored by Mengyun Wang and last updated on May 12, 2026. It synthesizes recent advances in liquid biopsy for bladder cancer, focusing on urinary tumor DNA and exosomes as non-invasive biomarkers for diagnosis, classification, staging, and monitoring.

Use Cases

• Comparing diagnostic sensitivity and specificity based on combined utDNA and exosome detection mentioned in the description
• Investigating molecular classification and staging of bladder cancer based on genomic and epigenetic alterations
• Monitoring treatment response and recurrence dynamically using urinary liquid biopsy biomarkers
• Evaluating the potential for integrating multi-omics profiling and artificial intelligence for precision medicine

Strengths

• File size is precisely 13.1 KB, indicating a concise dataset.
• License is clearly defined as CC-BY-4.0, facilitating open reuse.
• Author and specific last update timestamp (2026-05-12 04:18:48) are provided.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset appears to be a review summary table, not primary experimental data.

Provenance

Source

Mengyun Wang via figshare

Collection Method

Likely compiled from literature review.

Freshness

Last updated 2026-05-12 04:18:48; freshness should be verified.