{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["20(11)"],"submitter":["Fu Y"],"pubmed_abstract":["<h4>Background</h4>Prognostic assessment plays a crucial role in guiding clinical management and treatment decisions for gastric cancer patients. The enrichment characteristics of 5-hydroxymethylcytosine (5hmC) in circulating cell-free DNA (cfDNA) has emerged as potential prognostic epigenetic markers.<h4>Methods</h4>Using 5hmC-Seal combined with next-generation sequencing (NGS), we profiled the genome-wide distribution of 5hmC in plasma cfDNA samples from 51 gastric cancer patients. Prognostic biomarkers were selected via random survival forest and Cox proportion hazards models, and a prognostic model was subsequently constructed.<h4>Results</h4>Seven prognostic biomarker genes were identified, and the 7-gene prognostic model demonstrated a concordance index (C-index) of 0.892 (95% CI = 0"],"journal":["PloS one"],"pagination":["e0335654"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12633862"],"repository":["biostudies-literature"],"pubmed_title":["5-hydroxymethylcytosines from circulating cell-free DNA as noninvasive prognostic markers for gastric cancer."],"pmcid":["PMC12633862"],"pubmed_authors":["Jiang J","Fu C","Cao X","Zhang Y","Cao D","Fu Y","Wu Y","Jia Z"],"additional_accession":[]},"is_claimable":false,"name":"5-hydroxymethylcytosines from circulating cell-free DNA as noninvasive prognostic markers for gastric cancer.","description":"<h4>Background</h4>Prognostic assessment plays a crucial role in guiding clinical management and treatment decisions for gastric cancer patients. The enrichment characteristics of 5-hydroxymethylcytosine (5hmC) in circulating cell-free DNA (cfDNA) has emerged as potential prognostic epigenetic markers.<h4>Methods</h4>Using 5hmC-Seal combined with next-generation sequencing (NGS), we profiled the genome-wide distribution of 5hmC in plasma cfDNA samples from 51 gastric cancer patients. Prognostic biomarkers were selected via random survival forest and Cox proportion hazards models, and a prognostic model was subsequently constructed.<h4>Results</h4>Seven prognostic biomarker genes were identified, and the 7-gene prognostic model demonstrated a concordance index (C-index) of 0.892 (95% CI = 0","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025","modification":"2026-05-19T03:22:20.878Z","creation":"2026-05-19T03:11:55.88Z"},"accession":"S-EPMC12633862","cross_references":{"pubmed":["41264656"],"doi":["10.1371/journal.pone.0335654"]}}