Urinary Proteomics Biomarker Candidates for Endometrial Cancer

A 2026 case-control study of 40 women (20 endometrial cancer patients, 20 controls) identified 193 differentially expressed urinary proteins. The research, conducted at King Khalid University Hospital, used label-free LC-MS/MS and bioinformatics to pinpoint three key biomarker candidates with high AUC scores. The dataset is published by Khalid Akkour under a CC-BY-4.0 license.

Use Cases

• Validate candidate biomarkers like GLUD1 and Histidine-rich glycoprotein based on reported AUC scores.
• Analyze pathways associated with endometrial cancer based on reported Fc gamma receptor-dependent phagocytosis and complement activation.
• Build classification models to separate cancer and control groups based on the 193 differentially expressed proteins.
• Investigate metabolic shifts in cancer based on reported amino acid metabolism pathway insights.

Strengths

• Includes 40 matched patient samples with histopathological confirmation.
• Identifies 193 specific proteins (117 upregulated, 76 downregulated) with statistical significance.
• Reports three biomarker candidates with individual AUC values (0.945, 0.965, 0.875).

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Dataset size is 13.0 KB, indicating limited scope.

Provenance

Source

King Khalid University Hospital, King Saud University

Collection Method

Midstream urine samples collected under fasting conditions, proteins extracted via methanol-chloroform precipitation, analyzed with untargeted label-free LC-MS/MS.

Freshness

Last updated 2026-04-09 05:15:40; freshness should be verified.