Evidence map›Paper›PMID 41264656›Full record

ArticlePloS one2025

5-hydroxymethylcytosines from circulating cell-free DNA as noninvasive prognostic markers for gastric cancer.

Yingli Fu, Donghui Cao, Yanhua Wu, Zhifang Jia, Yangyu Zhang, Chenhao Fu, Xueyuan Cao, Jing Jiang

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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8 authors.

Yingli FuDivision of Clinical Epidemiology, The First Hospital of Jilin University, Changchun, Jilin Province, China.
Donghui CaoDivision of Clinical Epidemiology, The First Hospital of Jilin University, Changchun, Jilin Province, China.
Yanhua WuDivision of Clinical Epidemiology, The First Hospital of Jilin University, Changchun, Jilin Province, China.
Zhifang JiaDivision of Clinical Epidemiology, The First Hospital of Jilin University, Changchun, Jilin Province, China.
Yangyu ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province, China.
Chenhao FuDivision of Clinical Epidemiology, The First Hospital of Jilin University, Changchun, Jilin Province, China.
Xueyuan CaoDepartment of Gastric and Colorectal Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun, Jilin Province, China.
Jing JiangDivision of Clinical Epidemiology, The First Hospital of Jilin University, Changchun, Jilin Province, China.ORCID https://orcid.org/0000-0002-0174-9174

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrognostic 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.

methodsUsing 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.

resultsSeven prognostic biomarker genes were identified, and the 7-gene prognostic model demonstrated a concordance index (C-index) of 0.892 (95% CI = 0.786-0.998). Patients in the high risk group had a significantly worse overall survival (OS) than those in low-risk group (log-rank P = 0.00012). When the cfDNA 5hmC risk-score was integrated with the traditional clinical characteristics, the C-index increased from 0.819 (95% CI = 0.727-0.911) to 0.904 (95% CI = 0.853-0.955). Multivariate analysis adjusted for age, TNM stage, and chemotherapy confirmed that a high risk-score of cfDNA 5hmC model was an independent predictor of poor OS (hazard ratio [HR]=27.47, 95% CI = 3.28-230.25).

conclusioncfDNA 5hmC serves as an effective prognostic biomarker with high predictive value for the long-term survival in postoperative gastric cancer patients.

Indexed as

5-MethylcytosineBiomarkers, TumorCell-Free Nucleic AcidsStomach NeoplasmsAdultAgedFemaleHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedPrognosis5-hydroxymethylcytosine5-MethylcytosineBiomarkers, TumorCell-Free Nucleic Acids

Identifiers

PMID41264656
PMCPMC12633862

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