Evidence map›Paper›PMID 40089765›Full record

ArticleWorld journal of surgical oncology2025

cfDNA hydroxymethylcytosine profiling for detection metastasis and recurrence of Esophageal Squamous Cell Carcinoma.

Subinuer Kuerban, Hangyu Chen, Long Chen, Lei Zhang, Xuehui Li, Baixin Zhen, Hong Xiao, Yingzhu Chen, Haitao Zhou, Zhen Liang and 4 more

Abstract read
In one paragraph

Article in World journal of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Subinuer Kuerban *School of Pharmacy, Xinjiang Medical University, Urumqi, 830017, China.
Hangyu Chen *Department of Pharmacy, Peking University Third Hospital, Beijing, 100191, China.
Long Chen *Department of Pharmacy, Peking University Third Hospital, Beijing, 100191, China.
Lei ZhangDepartment of Pharmacy, Peking University Third Hospital, Beijing, 100191, China.
Xuehui LiSchool of Pharmacy, Xinjiang Medical University, Urumqi, 830017, China.
Baixin ZhenSchool of Pharmacy, Xinjiang Medical University, Urumqi, 830017, China.
Hong XiaoKey Laboratory of Tropical Biological Resources of Ministry of Education, School of Pharmaceutical Sciences, Hainan University, Haikou, 570100, China.
Yingzhu ChenKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Clinical Laboratory, Peking University Cancer Hospital & Institute, Beijing, China.
Haitao ZhouKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education), the First Department of Thoracic Surgery, Peking University Cancer Hospital and Institute, Peking University School of Oncology, Beijing, China.
Zhen LiangKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education), the First Department of Thoracic Surgery, Peking University Cancer Hospital and Institute, Peking University School of Oncology, Beijing, China.
Guobing XuKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Clinical Laboratory, Peking University Cancer Hospital & Institute, Beijing, China.
Yicun TaoSchool of Pharmacy, Xinjiang Medical University, Urumqi, 830017, China. taoyicun@xjmu.edu.cn.
Jian LinDepartment of Pharmacy, Peking University Third Hospital, Beijing, 100191, China. linjian@pku.edu.cn.
Xiaozheng KangSection of Esophageal and Mediastinal Oncology, Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. kangxz@cicams.ac.cn.

Funding

National Natural Science Foundation of China 82274034
6 · The paper itself

Abstract

backgroundA 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.

methodsThe 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.

resultsThe study confirmed that 5hmC-based markers are predictive of metastasis and recurrence among ESCC patients. The analysis of 14 5hmC biomarkers revealed a sensitivity of 88.90% and a specificity of 84.00% (AUC = 0.922) in differentiating patients with ESCC metastasis from those without in the validation cohort. Similarly, 11 5hmC biomarkers showed a sensitivity of 93.30% and a specificity of 89.10% (AUC = 0.936) in identifying recurrent versus non-recurrent ESCC cases. Additionally, a wp-score for metastasis and recurrence, derived from the 5hmC marker, prognosticated patient outcomes.

conclusionsThe findings indicate that 5hmC markers from cfDNA serve as effective epigenetic indicators for the non-invasive detection of ESCC metastasis and recurrence.

Indexed as

5-MethylcytosineBiomarkers, TumorCell-Free Nucleic AcidsEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaNeoplasm Recurrence, LocalAgedDNA MethylationFemaleFollow-Up StudiesHumansMaleMiddle AgedPrognosisSurvival Rate5-hydroxymethylcytosine5-MethylcytosineBiomarkers, TumorCell-Free Nucleic Acids5-hydroxymethylcytosineEsophageal squamous cell carcinomaLiquid biopsyMetastasisRecurrence

Identifiers

PMID40089765
PMCPMC11909818

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.