Endometrial Cancer Diagnostic Data with Ultrasound and Methylation Biomarkers

Three core methylation biomarkers (BAHCC1-8721-2-1, SHANK3-16286-1-5, FHL1-26624-1-3) were identified from cervical scrapings and ultrasound imaging of 40 patients. The dataset, a 51.9 KB DOCX file, contains results from a study by Dongmei Liu, last updated in June 2026. It compares four diagnostic strategies, with a sequential TVUS and methylation approach achieving an AUC of 0.950.

Use Cases

• Training a binary classifier for endometrial cancer detection based on methylation biomarker levels.
• Evaluating the diagnostic performance of ultrasound parameters like Adler blood flow grade and endometrial-myometrial border irregularity.
• Comparing the efficacy of combined versus sequential diagnostic strategies using methylation and imaging data.
• Identifying differentially methylated genes (DMGs) from the 2,671 CpG sites for biomarker discovery.

Strengths

• Sequencing was performed with a depth of 30× and coverage ≥90%, with repeatability validated (intraclass correlation coefficient ≥0.85).
• Strict quality control was applied, including DNA concentration ≥20 ng/μL and preset sample cell counts.
• The study evaluated four distinct diagnostic strategies, providing a comparative performance analysis with AUC metrics.

Limitations

• The sample size is small, with data from only 20 EC patients and 20 controls, as noted by the authors.
• Row count and column-level documentation are unknown, which may limit suitability assessment.
• The data is contained in a DOCX document, which may require parsing to extract structured information for analysis.

Provenance

Source

Dongmei Liu via figshare.

Collection Method

Genome-wide methylation profiling via methylated CpG tandem amplification and sequencing on tissue and cervical scraping samples, correlated with transvaginal ultrasound parameters.

Freshness

Last updated 2026-06-03 04:47:20; freshness should be verified.