Evidence map›Paper›PMID 37457377›Full record

ArticleCancer management and research2023

Detection of DNA Methylation in Gene Loci ASTN1, DLX1, ITGA4, RXFP3, SOX17, and ZNF671 for Diagnosis of Cervical Cancer.

Chunli Fan, Quanfu Ma, Xufeng Wu, Xuan Dai, Qiuzi Peng, Hongning Cai

Open access · goldAbstract read
In one paragraph

Article in Cancer management and research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.2field-weighted citation impact, top 13% of its field
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

12 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Advances in cervical cancer: current insights and future directions.Cancer communications (London, England) · 2025
    Review
  10. Article
  11. Frontiers in medicine · 2025
    Article
  12. Review
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 at 1 institution in 1 country.

Chunli Fan *Department of Scientific Research and Teaching Management Department, Maternal and Child Health Hospital of Hubei Province, Wuhan, 430070, People's Republic of China.
Quanfu Ma *Department of Scientific Research and Teaching Management Department, Maternal and Child Health Hospital of Hubei Province, Wuhan, 430070, People's Republic of China.
Xufeng WuDepartment of Cervical Cancer Prevention Center, Maternal and Child Health Hospital of Hubei Province, Wuhan, 430070, People's Republic of China.
Xuan DaiDepartment of Cervical Cancer Prevention Center, Maternal and Child Health Hospital of Hubei Province, Wuhan, 430070, People's Republic of China.
Qiuzi PengDepartment of Cervical Cancer Prevention Center, Maternal and Child Health Hospital of Hubei Province, Wuhan, 430070, People's Republic of China.
Hongning CaiDepartment of Scientific Research and Teaching Management Department, Maternal and Child Health Hospital of Hubei Province, Wuhan, 430070, People's Republic of China.
Maternal and Child Health Hospital of Sichuan Province · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the diagnostic value of DNA methylation detection of multiple gene loci in cervical cancer. Methods: A total of 61 cases requiring cervical biopsy were selected from the outpatient clinic of Maternal and Child Health Hospital of Hubei Province between January 2018 and December 2019. The patients were divided into four groups based on histopathologic diagnosis: cervical cancer (CC) group, high-grade squamous intraepithelial lesion (HSIL) group, low-grade squamous intraepithelial lesion (LSIL) group, and control group. HPV examination, liquid-based cytology examination, and DNA methylation detection at multiple gene sites were performed. The positive rate of DNA methylation, sensitivity, specificity, area under the curve (AUC), and other efficacy indexes were calculated to evaluate the diagnostic value of DNA methylation detection at multiple gene loci in cervical cancer. Results: The positive rates of DNA methylation in CC, HSIL, LSIL, and control groups were 100%, 88%, 83% and 17%, respectively. The ZNF671 gene had the highest positive rate among the cervical lesion group, with rates of 57%, 76%, and 100% in LSIL, HSIL, and CC groups respectively. The combination of DNA methylation detection at multiple gene loci showed the highest diagnostic efficacy for HSIL and cervical cancer, with AUC value of 0.850 (95% CI:0.746-0.954), a Youden index of 0.654, and a sensitivity and specificity of 85% and 85.4%, respectively. The diagnostic efficacy of the combined detection was significantly higher than that of HPV examination and liquid-based cytology examination (P < 0.05). Conclusion: DNA methylation detection at multiple gene loci is highly effective and diagnostic tool for cervical cancer, and has potential application value in clinical practice.

Indexed as

diagnostic efficacyDNA methylation detectionHSIL and cervical cancermultiple gene loci

Identifiers

PMID37457377
PMCPMC10349600
OpenAlexW4383982058

What OpenQuestion holds

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LicenceCC BY-NC
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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.