Evidence map›Paper›PMID 36414968›Full record

ArticleClinical epigenetics2022

DNA methylation-based detection and prediction of cervical intraepithelial neoplasia grade 3 and invasive cervical cancer with the WID™-qCIN test.

Chiara Herzog, Karin Sundström, Allison Jones, Iona Evans, James E Barrett, Jiangrong Wang, Elisa Redl, Lena Schreiberhuber, Laura Costas, Sonia Paytubi and 7 more

Open access · goldAbstract read
In one paragraph

Article in Clinical epigenetics, 2022. 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
1.2field-weighted citation impact, top 20% 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, 9 citations in OpenAlex.

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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

17 authors at 8 institutions in 6 countries.

Chiara Herzog *European Translational Oncology Prevention and Screening (EUTOPS) Institute, Universität Innsbruck, Milser Straße 10, 6060, Hall in Tirol, Austria.ORCID 0000-0002-1572-498X
Karin Sundström *Department of Laboratory Medicine, Division of Pathology, Karolinska Institutet, Stockholm, Sweden.
Allison JonesDepartment of Women's Cancer, UCL EGA Institute for Women's Health, University College London, 74 Huntley Street, London, WC1E 6AU, UK.
Iona EvansDepartment of Women's Cancer, UCL EGA Institute for Women's Health, University College London, 74 Huntley Street, London, WC1E 6AU, UK.
James E BarrettEuropean Translational Oncology Prevention and Screening (EUTOPS) Institute, Universität Innsbruck, Milser Straße 10, 6060, Hall in Tirol, Austria.
Jiangrong WangDepartment of Laboratory Medicine, Division of Pathology, Karolinska Institutet, Stockholm, Sweden.
Elisa RedlEuropean Translational Oncology Prevention and Screening (EUTOPS) Institute, Universität Innsbruck, Milser Straße 10, 6060, Hall in Tirol, Austria.
Lena SchreiberhuberEuropean Translational Oncology Prevention and Screening (EUTOPS) Institute, Universität Innsbruck, Milser Straße 10, 6060, Hall in Tirol, Austria.
Laura CostasCancer Epidemiology Research Programme, Catalan Institute of Oncology. IDIBELL, Av Gran Vía 199-203, 08908, L'Hospitalet de Llobregat, Barcelona, Spain.
Sonia PaytubiCancer Epidemiology Research Programme, Catalan Institute of Oncology. IDIBELL, Av Gran Vía 199-203, 08908, L'Hospitalet de Llobregat, Barcelona, Spain.
Lukas DostalekGynaecologic Oncology Center, Department of Obstetrics and Gynecology, First Faculty of Medicine, Charles University in Prague, General University Hospital in Prague, Prague, Czech Republic.
Michal ZikanDepartment of Gynecology and Obstetrics, First Faculty of Medicine and Hospital Na Bulovce, Charles University in Prague, Prague, Czech Republic.
David CibulaGynaecologic Oncology Center, Department of Obstetrics and Gynecology, First Faculty of Medicine, Charles University in Prague, General University Hospital in Prague, Prague, Czech Republic.
Gaby SroczynskiInstitute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT TIROL - University for Health Sciences and Technology, Hall in Tirol, Austria.
Uwe SiebertInstitute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT TIROL - University for Health Sciences and Technology, Hall in Tirol, Austria.
Joakim Dillner *Department of Laboratory Medicine, Division of Pathology, Karolinska Institutet, Stockholm, Sweden.
Martin Widschwendter *European Translational Oncology Prevention and Screening (EUTOPS) Institute, Universität Innsbruck, Milser Straße 10, 6060, Hall in Tirol, Austria. Martin.Widschwendter@uibk.ac.at.ORCID 0000-0002-7778-8380
Universität Innsbruck · ATCharles University · CZInstitut d'Investigació Biomédica de Bellvitge · ESKarolinska University Hospital · SEUniversity College London · GBHarvard University · USKarolinska Institutet · SEUMIT - Private Universität für Gesundheitswissenschaften, Medizinische Informatik und Technik · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCervical screening using primary human papilloma virus (HPV) testing and cytology is being implemented in several countries. Cytology as triage for colposcopy referral suffers from several shortcomings. HPV testing overcomes some of these but lacks specificity in women under 30. Here, we aimed to develop and validate an automatable triage test that is highly sensitive and specific independently of age and sample heterogeneity, and predicts progression to CIN3+ in HPV+ patients.

resultsThe WID™-qCIN, assessing three regions in human genes DPP6, RALYL, and GSX1, was validated in both a diagnostic (case-control) and predictive setting (nested case-control), in a total of 761 samples. Using a predefined threshold, the sensitivity of the WID™-qCIN test was 100% and 78% to detect invasive cancer and CIN3, respectively. Sensitivity to detect CIN3+ was 65% and 83% for women < and ≥ 30 years of age. The specificity was 90%. Importantly, the WID™-qCIN test identified 52% of ≥ 30-year-old women with a cytology negative (cyt-) index sample who were diagnosed with CIN3 1-4 years after sample donation.

conclusionWe identified suitable DNAme regions in an epigenome-wide discovery using HPV+ controls and CIN3+ cases and established the WID™-qCIN, a PCR-based DNAme test. The WID™-qCIN test has a high sensitivity and specificity that may outperform conventional cervical triage tests and can in an objective, cheap, and scalable fashion identify most women with and at risk of (pre-)invasive cervical cancer. However, evaluation was limited to case-control settings and future studies will assess performance and generalisability in a randomised controlled trial.

Indexed as

AlphapapillomavirusPapillomavirus InfectionsUterine Cervical DysplasiaUterine Cervical NeoplasmsAdultDNA MethylationEarly Detection of CancerFemaleHumansPapillomaviridaeCervical screeningCIN3DNA methylationHPV

Identifiers

PMID36414968
PMCPMC9682674
OpenAlexW4309650816

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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.