Evidence map›Paper›PMID 41691587›Full record

ReviewCurrent topics in microbiology and immunology2026

DNA Methylation in Cervical Intraepithelial Neoplasia and Cervical Cancer: Triage and Management.

Mila S Griffioen, Flavia Runello, Renske D M Steenbergen

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current topics in microbiology and immunology, 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. Observational
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

3 authors.

Mila S Griffioen *Amsterdam UMC, Location Vrije Universiteit, Pathology, Amsterdam, The Netherlands.
Flavia Runello *Amsterdam UMC, Location Vrije Universiteit, Pathology, Amsterdam, The Netherlands.
Renske D M SteenbergenAmsterdam UMC, Location Vrije Universiteit, Pathology, Amsterdam, The Netherlands. r.steenbergen@amsterdamumc.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This chapter discusses the role of DNA methylation, an epigenetic mechanism that regulates gene expression, as a key event in cervical carcinogenesis, and highlights its potential as a biomarker for detecting cervical cancer and high-grade precancerous lesions. Methylation levels of specific genes (methylation markers) gradually increase with cervical disease severity, allowing several clinical applications. Methylation markers have been evaluated as alternative triage tools for high-risk (hr) human papillomavirus (HPV)-positive women, including those with borderline or mildly abnormal cytology results, and for use in specific populations such as women living with HIV. Methylation testing often outperforms traditional cytology-based triage methods and offers long-term reassurance against cervical cancer when the result is negative. Additionally, methylation markers have shown prognostic potential in predicting the natural course of high-grade precancerous lesions, as well as a promising performance for the detection of recurrent disease. While ongoing research focuses on validating methylation testing in self-collected samples, low-resource settings, and HPV-vaccinated populations, current evidence supports its potential to enhance early detection, risk stratification, and post-treatment monitoring in cervical cancer prevention and care.

Indexed as

DNA MethylationUterine Cervical DysplasiaUterine Cervical NeoplasmsFemaleHuman Papillomavirus VirusesHumansPapillomavirus InfectionsTriageCervical cancerCervical intraepithelial neoplasia (CIN)Cervical screeningDNA methylationHuman papillomavirus (HPV)Management of CINTriage test

Identifiers

What OpenQuestion holds

Textmetadata
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.