Multi-Omics-Based Characterization of DNA Methylation Episignatures for Papillary Thyroid Cancer in a Chinese Population
Authors' conclusion
Our study provides a comprehensive view of the multi-omics-based, function-guided DNA methylation landscape for Chinese PTC patients. We identified seven functional differentially methylated regions with high sensitivity and specificity for diagnosing thyroid cancer in Chinese patients. Additionally, DHRS3 is highlighted as a key player in PTC pathogenesis and shows promise as a valuable biomarker for predicting patient outcomes.
Study context
- Population
- Chinese patients with papillary thyroid cancer (PTC) or benign thyroid nodules
- Participants
- 40 vs 31
- Comparison
- PTC tissues vs benign thyroid nodule tissues
- PTCn = 40
- Benign nodulen = 31reference
Methodological detailsmulti-omics, genome-wide methylation profiling, machine learning
- Multi-omics
- Genome-wide methylation profiling
- Machine learning
Main finding
As reported in the abstract
- Genome-wide DNA methylation maps revealed significant methylome changes in Chinese PTC tissues
- Unique hypomethylation patterns associated with thyroid hormone synthesis specifically in Chinese PTC patients (integrated with TCGA thyroid cancer methylation profiles)
- Dysregulated genes in PTC critical for proliferation, migration and invasion of thyroid cancer (RNA sequencing, H3K27ac analysis, functional assays)
Original publication
Multi-Omics-Based Characterization of DNA Methylation Episignatures for Papillary Thyroid Cancer in a Chinese Population. Thyroid. Published 30 May 2025. doi:10.
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