Ontology highlight
ABSTRACT: Background
A blood-based approach to monitor metastasis and recurrence of esophageal squamous cell carcinoma (ESCC) remains undeveloped. This study aimed to establish a dependable model utilizing cfDNA 5-hydroxymethylcytosines (5hmC) signatures to detect these conditions in ESCC.Methods
The 5hmC-Seal technique was employed to generate comprehensive 5hmC profiles from the plasma cell-free DNA (cfDNA) of 122 ESCC patients, classified into 72 with metastasis, 50 without metastasis, 30 with recurrence, and 92 without recurrence. Initial steps involved identifying distinct hydroxymethylation signatures linked to metastasis and recurrence. Machine learning algorithms were then utilized to construct predictive models.Results
The study confirmed that 5hmC-based markers are
SUBMITTER: Kuerban S
PROVIDER: S-EPMC11909818 | biostudies-literature | 2025 Mar
REPOSITORIES: biostudies-literature