Evidence map›Paper›PMID 41861514›Full record

ArticleEBioMedicine2026

5-Hydroxymethylcytosine profiles in circulating cell-free DNA serve as potential biomarkers for diagnosis and classification of adenomyosis.

Lei Zhang, Xiaotong Han, Xinran Gao, Hangyu Chen, Chunliang Shang, Long Chen, Jian Lin, Hongyan Guo

Abstract read
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Article in EBioMedicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Lei ZhangGynecology and Obstetrics, Peking University Third Hospital, Beijing, China; Department of Pharmacy, Peking University Third Hospital, Beijing, China; Synthetic and Functional Biomolecules Center, Peking University, Beijing, China; Key Laboratory of Tropical Biological Resources of Ministry of Education, School of Pharmaceutical Sciences, Hainan University, Haikou, China.
Xiaotong HanGynecology and Obstetrics, Peking University Third Hospital, Beijing, China.
Xinran GaoGynecology and Obstetrics, Peking University Third Hospital, Beijing, China.
Hangyu ChenDepartment of Pharmacy, Peking University Third Hospital, Beijing, China.
Chunliang ShangGynecology and Obstetrics, Peking University Third Hospital, Beijing, China.
Long ChenDepartment of Pharmacy, Peking University Third Hospital, Beijing, China; Peking University Third Hospital Cancer Center, Beijing, China; Institute of Advanced Clinical Medicine, Peking University, Beijing, 100191, China.
Jian LinDepartment of Pharmacy, Peking University Third Hospital, Beijing, China; Synthetic and Functional Biomolecules Center, Peking University, Beijing, China; Key Laboratory of Tropical Biological Resources of Ministry of Education, School of Pharmaceutical Sciences, Hainan University, Haikou, China; Peking University Third Hospital Cancer Center, Beijing, China. Electronic address: linjian@pku.edu.cn.
Hongyan GuoGynecology and Obstetrics, Peking University Third Hospital, Beijing, China. Electronic address: bysyghy@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdenomyosis diagnosis and classification relies primarily on magnetic resonance imaging or pathological examination. Liquid biopsy has been widely applied in oncology but remains underexplored for adenomyosis. We aimed to identify liquid-biopsy-derived 5hmC biomarkers to aid adenomyosis diagnosis and molecular subtyping.

methodsGenome-wide 5hmC profiles were obtained by 5hmC-Seal from plasma cfDNA (adenomyosis: n = 51; controls: n = 46) and tissue DNA (adenomyosis: n = 26; controls: n = 21). A paired-tissue-driven splitting strategy was used: the training set comprised 26 adenomyosis plasmas with matched tissues plus 23 controls, and the validation set comprised remaining samples. A 5hmC-based logistic regression model was developed and validated. The identified marker amyloid precursor protein (APP) was functionally characterised in cellular and mouse models.

findingsTen 5hmC markers were identified by machine learning. The model showed a sensitivity of 0.88 and a specificity of 0.87 (AUC = 0.91) in the validation set, with better performance than CA125 and CA199. 5hmC signatures could distinguish intrinsic from extrinsic adenomyosis subtypes. APP was related to epithelial cell migration and fibrosis in experimental models, which indicated its potential involvement in adenomyosis pathophysiology.

interpretationPlasma cfDNA 5hmC markers show promise for adenomyosis diagnosis and molecular classification. The APP-HOXD9 axis represents a potential therapeutic target warranting further validation. These findings require prospective, multi-centre confirmation before clinical implementation.

fundingThis work was supported by grant 82274034 from the National Natural Science Foundation of China, grant 2022YFB3604700 from the National Key Research and Development Program of China, and project BYESS2022031 from the Beijing Association for Science and Technology-Young Elite Scientist Sponsorship Program (BAST-YESS).

Indexed as

5-MethylcytosineAdenomyosisBiomarkersCell-Free Nucleic AcidsAdultAmyloid beta-Protein PrecursorAnimalsFemaleHumansLiquid BiopsyMiceMiddle AgedROC Curve5-hydroxymethylcytosine5-MethylcytosineAmyloid beta-Protein PrecursorBiomarkersCell-Free Nucleic Acids5-hydroxymethylcytosineAdenomyosisAmyloid precursor proteinCell-free DNADiagnosisLiquid biopsyMolecular classification

Identifiers

PMID41861514
PMCPMC13018905

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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.