Evidence map›Paper›PMID 27574435›Full record

ArticleTherapeutics and clinical risk management2016

The association between methylated CDKN2A and cervical carcinogenesis, and its diagnostic value in cervical cancer: a meta-analysis.

Jinyun Li, Chongchang Zhou, Haojie Zhou, Tianlian Bao, Tengjiao Gao, Xiangling Jiang, Meng Ye

Open access · goldAbstract read
In one paragraph

Article in Therapeutics and clinical risk management, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. MiR-495-3p and miR-143-3p co-target CDK1 to inhibit the development of cervical cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2021
    Article
  5. A fluorometric hybridization assay for detecting and genotyping high-risk human papillomavirus 16 and 18 in archival tissues of cervical specimens.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2020
    Article
  6. Article
  7. Role ofOncoTargets and therapy · 2018
    Article
  8. Quantitative assessment of aberrantCancer management and research · 2018
    Review
  9. 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

7 authors at 2 institutions in 1 country.

Jinyun LiDepartment of Biochemistry and Molecular Biology, School of Medicine, Ningbo University; Department of Medical Oncology, Affiliated Hospital, Ningbo University.
Chongchang ZhouDepartment of Biochemistry and Molecular Biology, School of Medicine, Ningbo University.
Haojie ZhouDepartment of Molecular Diagnosis, Ningbo Diagnostic Pathology Center, Ningbo, Zhejiang, People's Republic of China.
Tianlian BaoDepartment of Biochemistry and Molecular Biology, School of Medicine, Ningbo University.
Tengjiao GaoDepartment of Biochemistry and Molecular Biology, School of Medicine, Ningbo University.
Xiangling JiangDepartment of Biochemistry and Molecular Biology, School of Medicine, Ningbo University.
Meng YeDepartment of Biochemistry and Molecular Biology, School of Medicine, Ningbo University; Department of Medical Oncology, Affiliated Hospital, Ningbo University.
Ningbo University · CNNingbo University Affiliated Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCervical cancer is the second deadliest gynecologic malignancy, characterized by apparently precancerous lesions and cervical intraepithelial neoplasia (CIN), and having a long course from the development of CIN to cervical cancer. Cyclin-dependent kinase inhibitor 2A (CDKN2A) is a well-documented tumor suppressor gene and is commonly methylated in cervical cancer. However, the relationship between methylated CDKN2A and carcinogenesis in cervical cancer is inconsistent, and the diagnostic accuracy of methylated CDKN2A is underinvestigated. In this study, we attempted to quantify the association between CDKN2A methylation and the carcinogenesis of cervical cancer, and its diagnostic power.

methodsWe systematically reviewed four electronic databases and identified 26 studies involving 1,490 cervical cancers, 1,291 CINs, and 964 controls. A pooled odds ratio (OR) with corresponding 95% confidence intervals (95% CI) was calculated to evaluate the association between methylated CDKN2A and the carcinogenesis of cervical cancer. Specificity, sensitivity, the area under the receiver operating characteristic curve, and the diagnostic odds ratio were computed to assess the effect of methylated CDKN2A in the diagnosis of cervical cancer.

resultsOur results indicated an upward trend in the methylation frequency of CDKN2A in the carcinogenesis of cervical cancer (cancer vs control: OR =23.67, 95% CI =15.54-36.06; cancer vs CIN: OR =2.53, 95% CI =1.79-3.5; CIN vs control: OR =9.68, 95% CI =5.82-16.02). The specificity, sensitivity, area under the receiver operating characteristic curve, and diagnostic odds ratio were 0.99 (95% CI: 0.97-0.99), 0.36 (95% CI: 0.28-0.45), 0.93 (95% CI: 0.91-0.95), and 43 (95% CI: 19-98), respectively.

conclusionOur findings indicate that abnormal CDKN2A methylation may be strongly correlated with the pathogenesis of cervical cancer. Our results also demonstrate that CDKN2A methylation might serve as an early detector of cervical cancer. These findings require further confirmation.

Indexed as

cervical cancer carcinogenesismethylationp16

Identifiers

PMID27574435
PMCPMC4994797
OpenAlexW2511334268

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.