Evidence map›Paper›PMID 27826568›Full record

ArticleAnnals of translational medicine2016

PAX1 and SOX1 methylation as an initial screening method for cervical cancer: a meta-analysis of individual studies in Asians.

Yan Chen, Zhaolei Cui, Zhenzhou Xiao, Minhua Hu, Chuanhui Jiang, Yingying Lin, Yansong Chen

Open access · hybridAbstract read
In one paragraph

Article in Annals of translational medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. SOX1/PAX1 Methylation for Triage of HPV-Positive Women in Cervical Cancer Screening: A Cohort Study.BJOG : an international journal of obstetrics and gynaecology · 2026
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  11. HighZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2023
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  15. A multi-scale integrated analysis identifies KRT8 as a pan-cancer early biomarker.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2021
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  16. Review
  17. Article
  18. Frontiers in genetics · 2020
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  20. Cancer biology & medicine · 2019
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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

7 authors at 2 institutions in 1 country.

Yan ChenDepartment of Clinical Laboratory, Fujian Provincial Key Laboratory of Tumor Biotherapy, Fujian Provincial Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou 350014, China.
Zhaolei CuiDepartment of Clinical Laboratory, Fujian Provincial Key Laboratory of Tumor Biotherapy, Fujian Provincial Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou 350014, China.
Zhenzhou XiaoDepartment of Clinical Laboratory, Fujian Provincial Key Laboratory of Tumor Biotherapy, Fujian Provincial Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou 350014, China.
Minhua HuDepartment of Clinical Laboratory, Fujian Provincial Key Laboratory of Tumor Biotherapy, Fujian Provincial Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou 350014, China.
Chuanhui JiangDepartment of Clinical Laboratory, Fujian Provincial Key Laboratory of Tumor Biotherapy, Fujian Provincial Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou 350014, China.
Yingying LinDepartment of Clinical Laboratory, Fujian Provincial Key Laboratory of Tumor Biotherapy, Fujian Provincial Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou 350014, China.
Yansong ChenDepartment of Clinical Laboratory, Fujian Provincial Key Laboratory of Tumor Biotherapy, Fujian Provincial Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou 350014, China.
Fujian Medical University · CNFujian Provincial Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpigenetic alterations of gene or DNA methylation have been highlighted as promising biomarkers for early cervical cancer screening. Herein, we evaluated the diagnostic performance of paired boxed gene 1 (PAX1) and sex determining region Y-box 1 (SOX1) methylation for cervical cancer detection.

methodsEligible studies were retrieved by searching the electronic databases. Study quality was assessed according to the Quality Assessment of Diagnostic Accuracy Studies (QUADAS) checklist. The bivariate meta-analysis model was employed to plot the summary receiver operator characteristic (SROC) curve using Stata 12.0 software.

resultsThe pooled sensitivity of PAX1 methylation was estimated to be 0.73 [95% confidence interval (CI): 0.70-0.75] in differentiating patients with HSIL (high-grade squamous intraepithelial lesion) or CIN3+ (cervical intraepithelial neoplasia type III/worse) or cervical cancer from normal individuals, corresponding to a specificity of 0.87 (95% CI: 0.85-0.89) and area under the curve (AUC) of 0.91. The SOX1 methylation test yielded an AUC of 0.82, under which, the pooled sensitivity was 0.71 (95% CI: 0.67-0.74) and specificity was 0.64 (95% CI: 0.61-0.67). Notably, the stratified analysis suggested that combing parallel testing of PAX1 methylation and human papillomavirus (HPV) DNA (AUC, sensitivity, and specificity of 0.89, 0.75, and 0.81, respectively) achieved higher accuracy than single HPV DNA testing (AUC, sensitivity, and specificity of 0.77, 0.81, and 0.70, respectively).

conclusionsPAX1 or SOX1 methylation has a prospect to be an auxiliary biomarker for cervical cancer screening, and parallel testing of PAX1 methylation and HPV DNA in cervical swabs confers an improved diagnostic accuracy than single HPV DNA testing.

Indexed as

cervical cancerDNA methylationhuman papillomavirus (HPV)meta analysisPaired boxed gene 1 (PAX1)sex determining region Y-box 1 (SOX1)

Identifiers

PMID27826568
PMCPMC5075846
OpenAlexW2531118767

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.