Evidence map›Paper›PMID 41820501›Full record

ArticleCommunications medicine2026

Clinical performance of ASCL1/LHX8 DNA methylation on first-void urine to screen for cervical cancer.

Severien Van Keer, Rianne van den Helder, Laura Téblick, Annemie De Smet, Gilbert Donders, Steven Weyers, Jean Doyen, Nienke van Trommel, Constantijne H Mom, Harold Verhoeve and 8 more

Abstract read
In one paragraph

Article in Communications medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. 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

18 authors.

Severien Van KeerCentre for the Evaluation of Vaccination (CEV), Vaccine & Infectious Disease Institute (VAXINFECTIO), Faculty of Medicine and Health Sciences, University of Antwerp, Edegem, Belgium. severien.vankeer@uantwerpen.be.ORCID http://orcid.org/0000-0003-1842-7478
Rianne van den HelderDepartment of Pathology, location VUMC, and Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam University Medical Center, Amsterdam, The Netherlands.
Laura TéblickCentre for the Evaluation of Vaccination (CEV), Vaccine & Infectious Disease Institute (VAXINFECTIO), Faculty of Medicine and Health Sciences, University of Antwerp, Edegem, Belgium.ORCID http://orcid.org/0000-0002-7484-0956
Annemie De SmetCentre for the Evaluation of Vaccination (CEV), Vaccine & Infectious Disease Institute (VAXINFECTIO), Faculty of Medicine and Health Sciences, University of Antwerp, Edegem, Belgium.
Gilbert DondersDepartment of Obstetrics and Gynaecology, General Regional Hospital Heilig Hart, Tienen, Belgium.
Steven WeyersDepartment of Obstetrics and Gynecology, Ghent University Hospital, Ghent, Belgium.
Jean DoyenDepartment Gynaecology-Obstetrics, University Hospital Liège, Liège, Belgium.
Nienke van TrommelCenter for Gynecologic Oncology Amsterdam, location Het Nederlands Kanker Instituut, Antoni Van Leeuwenhoek, Amsterdam, The Netherlands.
Constantijne H MomDepartment of Gynaecological Oncology, Cancer Center Amsterdam, Center for Gynaecological Oncology Amsterdam, location VUMC, Amsterdam University Medical Center, Amsterdam, The Netherlands.
Harold VerhoeveGynaecology department, OLVG, Amsterdam, The Netherlands.
Chris J L M MeijerDepartment of Pathology, location VUMC, and Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam University Medical Center, Amsterdam, The Netherlands.
Maaike BleekerDepartment of Pathology, location VUMC, and Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam University Medical Center, Amsterdam, The Netherlands.
Ann CornelisDepartment of Pathology, General Regional Hospital Heilig Hart, Tienen, Belgium.
Koen Van de VijverDepartment of Pathology, Ghent University Hospital, Ghent, Belgium.ORCID http://orcid.org/0000-0002-2026-9790
Katty DelbecqueDepartment of Pathology, University Hospital Liège, Liège, Belgium.
Birgit Lissenberg-WitteDepartment of Epidemiology and Data Sciences, Amsterdam UMC, Amsterdam, The Netherlands.
Alex VorstersCentre for the Evaluation of Vaccination (CEV), Vaccine & Infectious Disease Institute (VAXINFECTIO), Faculty of Medicine and Health Sciences, University of Antwerp, Edegem, Belgium.ORCID http://orcid.org/0000-0002-0265-058X
Renske D M SteenbergenDepartment of Pathology, location VUMC, and Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam University Medical Center, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0002-2327-9839

Funding

Fonds Wetenschappelijk Onderzoek (Research Foundation Flanders) 12AHX26N
6 · The paper itself

Abstract

backgroundDNA methylation analysis provides a promising triage strategy for cervical intraepithelial neoplasia (CIN) and cancer detection following Human Papillomavirus (HPV) testing on self-collected samples, including urine.

methodsThis study aimed to develop an entirely molecular cervical screening approach based on HPV and DNA methylation analysis in at-home collected first-void urine from healthy females (n = 69) and a referral population (n = 385; CIN-cancer). CIN3+ detection was analyzed by multivariate logistic regression.

resultsHere we show that urinary ASCL1/LHX8 methylation levels increase significantly in relation to disease severity, with AUC-values for CIN3+ of 0.81 (95% CI: 0.74-0.88) and 0.83 (95% CI: 0.74-0.92) in the training (n = 285) and validation cohort (n = 160), respectively. This corresponds to a validated CIN3+ sensitivity of 73.0% (95% CI: 57.0-84.6%) at 81.9% specificity (95% CI: 73.5-88.1%; <CIN2). Urinary HPV testing is more sensitive (83.8%; 95% CI: 68.9-92.3%) although less specific (59.6%; 95% CI: 50.0-68.5%). For triage of HPV positives, ASCL1/LHX8 methylation and HPV16/18 genotyping have a similar CIN3+ sensitivity (75.0%; 95% CI: 62.8-84.2% vs 73.3%; 95% CI: 61.0-82.9%), with lower genotyping specificity. Combining ASCL1/LHX8 methylation with HPV16/18 genotyping yield a 85.0% sensitivity (95% CI: 73.9-91.9%) at 50.5% specificity (95% CI: 40.8-60.1%).

conclusionsThe ASCL1/LHX8 methylation test detects nearly all cancers and a majority of CIN3 in first-void urine, supporting the potential of full molecular screening in urine by primary HPV testing and methylation triage.

Identifiers

PMID41820501
PMCPMC13121606

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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.