Evidence map›Paper›PMID 42491840›Full record

ArticleCytoJournal2026

Non-invasive detection of endometrial cancer through exfoliated cervical cell gene methylation signatures: Evaluation of

Xing Fan, Saiping Mao, Yingxia Ou, Fang Yu, Xiaoli Wang, Rong Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in CytoJournal, 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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

6 authors.

Xing FanDepartment of Obstetrics and Gynaecology, Changsha Hospital for Maternal & Child Health Care Affiliated to Hunan Normal University, Changsha, China.ORCID https://orcid.org/0009-0004-5639-0463
Saiping MaoDepartment of Obstetrics and Gynaecology, Changsha Hospital for Maternal & Child Health Care Affiliated to Hunan Normal University, Changsha, China.
Yingxia OuDepartment of Obstetrics and Gynaecology, Changsha Hospital for Maternal & Child Health Care Affiliated to Hunan Normal University, Changsha, China.
Fang YuDepartment of Obstetrics and Gynaecology, Changsha Hospital for Maternal & Child Health Care Affiliated to Hunan Normal University, Changsha, China.
Xiaoli WangDepartment of Medical, Hunan Normal University, Changsha, China.
Rong WangDepartment of Obstetrics and Gynaecology, Changsha Hospital for Maternal & Child Health Care Affiliated to Hunan Normal University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The current non-invasive screening methods for endometrial cancer (EC), such as transvaginal ultrasound (TVUS), lack sufficient specificity, leading to unnecessary invasive diagnostic procedures. The detection of cancer-specific deoxyribonucleic acid (DNA) methylation alterations in cervical cytology samples presents a promising, minimally invasive alternative. This study aimed to evaluate the diagnostic potential of novel DNA methylation biomarkers (CUGBP Elav-like family member 4 methylation [ Material and Methods: This case-control study enrolled patients scheduled for diagnostic or surgical curettage at the hospital from September 2024 to June 2025. A total of 104 women underwent endometrial evaluation (32 type I EC, 3 type II EC, 61 benign lesions [BL], 8 atypical hyperplasia). Quantitative methylation-specific polymerase chain reaction assessed biomarker performance against histopathological diagnosis. Results: All three markers ( Conclusion: DNA methylation signatures in cervical cells show superior diagnostic accuracy to conventional ET measured by TVUS, particularly through multi-marker panels. This non-invasive approach represents a promising EC screening strategy.

Indexed as

Deoxyribonucleic acid methylationEndometrial cancerEndometrial thicknessScreeningTransvaginal ultrasound

Identifiers

PMID42491840
PMCPMC13378976

What OpenQuestion holds

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Registered trials

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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.