Genome-Wide DNA methylation profiling of tissue-plasma pairs identifies Novel cfDNA biomarkers for the diagnosis of gastric cancer.
A blood test measuring eight methylation markers detected gastric cancer with strong accuracy in independent validation, suggesting promise for non-invasive screening.
This biomarker development and independent validation study evaluated The aim of this study is to develop a machine learning model for the non-invasive diagnosis of GC using the whole-genome methylation profile of circulating free DNA (cfDNA) in plasma. The authors report that an eight-marker plasma cfDNA methylation model achieved an AUC of 0,938 in an independent test set, with 94,44% sensitivity and 75,00% specificity.
What the study was
- Study design
- Biomarker development and independent validation study
- Sample size
- 61
- Category
- Early Detection
- Maturity
- Exploratory
- Journal
- PLoS genetics
Why it surfaced
8/10: Biomarker development and independent validation study with direct relevance to Early cancer detection; scoring remains conservative because triage used the PubMed abstract without full-text review.
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