Evidence map›Paper›PMID 40600411›Full record

ArticleJournal of medical virology2025

Distribution of Human Papillomavirus Genotypes in Real-World Cervical Self-Collected Scrapings From the Dutch Cervical Cancer Screening Program.

Kelly Melisa Castañeda, Jolien de Waard, Lorian Slagter-Menkema, Mirjam Mastik, Floris Adriaan Vuijk, Rudolf Lambertus Maria Bekkers, Geertruida Hendrika de Bock, Gijsbertha Barendina Alida Wisman, Ed Schuuring

Abstract read
In one paragraph

Article in Journal of medical virology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Kelly Melisa CastañedaDepartment of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.ORCID 0000-0003-4520-1706
Jolien de WaardDepartment of Pathology & Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Lorian Slagter-MenkemaDepartment of Pathology & Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Mirjam MastikDepartment of Pathology & Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Floris Adriaan VuijkMSD B.V., Haarlem, the Netherlands.
Rudolf Lambertus Maria BekkersDepartment of Obstetrics and Gynecology, Radboud University Medical Center, Nijmegen, Nijmegen, the Netherlands.
Geertruida Hendrika de BockDepartment of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Gijsbertha Barendina Alida WismanDepartment of Gynecologic Oncology, Cancer Research Center Groningen, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands.
Ed SchuuringDepartment of Pathology & Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.

Funding

This study was supported by CC Diagnostics, MSD B.V., Abbott Molecular Inc., The Ministry of Science, Technology, and Innovation of Colombia, and the Netherlands Organization for Health Research and Development ZonMw.
6 · The paper itself

Abstract

High-risk HPV (hrHPV) is the necessary cause of cervical cancer with HPV16/18 accounting for around 70% of the cases worldwide, while other non-HPV16/18 hrHPV genotypes prevail in ~95% of high-grade lesions. Understanding regional genotype distribution of hrHPV types not covered by the nonavalent vaccine is crucial for evaluating vaccine effectiveness and enhancing population-based screening (PBS). The objective of the present study is to update hrHPV genotype prevalence in a non-vaccinated cohort of 1200 hrHPV-positive women from the Dutch PBS using INNO-LiPA HPV Genotyping Extra-II to identify 32 individual HPV genotypes in self-sampled material. HrHPV prevalence for all 32 genotypes, also grouped by bivalent, quadrivalent, and nonavalent vaccine types (2vHPV, 4vHPV, and 9vHPV), was reported by histologic diagnosis and age. The most common genotypes were HPV16 (394,33%), especially in younger women, followed by HPV31 (216,18%) and HPV52 (199,17%). 2vHPV genotypes were found in 23% (n = 90) of NILM cases, 27% (n = 84) of CIN0/CIN1, 45% (n = 74) of CIN2, 71% (n = 219) of CIN3, and 92% (n = 12) of cervical cancers. In comparison, 9vHPV genotypes appeared in 60% (n = 240) of NILM, 69% (n = 218) of CIN0/CIN1, 88% (n = 145) of CIN2, 94% (n = 289) of CIN3, and all cervical cancers (n = 13). HrHPV types not included in 9vHPV had an overall prevalence of 19% (n = 225), with 88% (197/225) found in NILM or CIN0/CIN1. This study highlights vaccine-type HPV in all cancer cases and many high-grade lesions, reinforcing the need for improved vaccination efforts and broader protection.

Indexed as

Cervix UteriGenotypePapillomaviridaePapillomavirus InfectionsUterine Cervical NeoplasmsAdultAgedEarly Detection of CancerFemaleHuman Papillomavirus VirusesHumansMiddle AgedNetherlandsPrevalenceYoung Adulthuman papillomavirus virusesprevalenceuterine cervical neoplasms

Identifiers

PMID40600411
PMCPMC12216794

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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.