Evidence map›Paper›PMID 30192375›Full record

Trial reportInternational journal of cancer2019

Genome-wide microRNA analysis of HPV-positive self-samples yields novel triage markers for early detection of cervical cancer.

Barbara C Snoek, Wina Verlaat, Iris Babion, Putri W Novianti, Mark A van de Wiel, Saskia M Wilting, Nienke E van Trommel, Maaike C G Bleeker, Leon F A G Massuger, Willem J G Melchers and 5 more

Abstract readClinical Trial
In one paragraph

Trial report in International journal of cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  13. Circulating cell-free DNA for cancer early detection.Innovation (Cambridge (Mass.)) · 2022
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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

15 authors.

Barbara C SnoekAmsterdam UMC, Vrije Universiteit Amsterdam, Pathology, Cancer Center Amsterdam, Amsterdam, Netherlands.
Wina VerlaatAmsterdam UMC, Vrije Universiteit Amsterdam, Pathology, Cancer Center Amsterdam, Amsterdam, Netherlands.
Iris BabionAmsterdam UMC, Vrije Universiteit Amsterdam, Pathology, Cancer Center Amsterdam, Amsterdam, Netherlands.
Putri W NoviantiAmsterdam UMC, Vrije Universiteit Amsterdam, Pathology, Cancer Center Amsterdam, Amsterdam, Netherlands.
Mark A van de WielAmsterdam UMC, Vrije Universiteit Amsterdam, Epidemiology and Biostatistics, Amsterdam, Netherlands.
Saskia M WiltingAmsterdam UMC, Vrije Universiteit Amsterdam, Pathology, Cancer Center Amsterdam, Amsterdam, Netherlands.
Nienke E van TrommelDepartment of Gynecology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, Netherlands.
Maaike C G BleekerAmsterdam UMC, Vrije Universiteit Amsterdam, Pathology, Cancer Center Amsterdam, Amsterdam, Netherlands.
Leon F A G MassugerDepartment of Obstetrics and Gynaecology, Radboud University Medical Center, Nijmegen, Netherlands.
Willem J G MelchersDepartment of Medical Microbiology, Radboud University Medical Center, Nijmegen, Netherlands.
Daoud SieAmsterdam UMC, Vrije Universiteit Amsterdam, Pathology, Cancer Center Amsterdam, Amsterdam, Netherlands.
Daniëlle A M HeidemanAmsterdam UMC, Vrije Universiteit Amsterdam, Pathology, Cancer Center Amsterdam, Amsterdam, Netherlands.
Peter J F SnijdersAmsterdam UMC, Vrije Universiteit Amsterdam, Pathology, Cancer Center Amsterdam, Amsterdam, Netherlands.
Chris J L M MeijerAmsterdam UMC, Vrije Universiteit Amsterdam, Pathology, Cancer Center Amsterdam, Amsterdam, Netherlands.
Renske D M SteenbergenAmsterdam UMC, Vrije Universiteit Amsterdam, Pathology, Cancer Center Amsterdam, Amsterdam, Netherlands.ORCID 0000-0002-2327-9839

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Offering self-sampling for HPV testing improves the effectiveness of current cervical screening programs by increasing population coverage. Molecular markers directly applicable on self-samples are needed to stratify HPV-positive women at risk of cervical cancer (so-called triage) and to avoid over-referral and overtreatment. Deregulated microRNAs (miRNAs) have been implicated in the development of cervical cancer, and represent potential triage markers. However, it is unknown whether deregulated miRNA expression is reflected in self-samples. Our study is the first to establish genome-wide miRNA profiles in HPV-positive self-samples to identify miRNAs that can predict the presence of CIN3 and cervical cancer in self-samples. Small RNA sequencing (sRNA-Seq) was conducted to determine genome-wide miRNA expression profiles in 74 HPV-positive self-samples of women with and without cervical precancer (CIN3). The optimal miRNA marker panel for CIN3 detection was determined by GRridge, a penalized method on logistic regression. Six miRNAs were validated by qPCR in 191 independent HPV-positive self-samples. Classification of sRNA-Seq data yielded a 9-miRNA marker panel with a combined area under the curve (AUC) of 0.89 for CIN3 detection. Validation by qPCR resulted in a combined AUC of 0.78 for CIN3+ detection. Our study shows that deregulated miRNA expression associated with CIN3 and cervical cancer development can be detected by sRNA-Seq in HPV-positive self-samples. Validation by qPCR indicates that miRNA expression analysis offers a promising novel molecular triage strategy for CIN3 and cervical cancer detection applicable to self-samples.

Indexed as

AdultDirect-To-Consumer Screening and TestingEarly Detection of CancerFemaleGenome-Wide Association StudyHumansMicroRNAsMiddle AgedPapillomavirus InfectionsSensitivity and SpecificityUterine Cervical DysplasiaUterine Cervical NeoplasmsVaginal SmearsMicroRNAscervical intraepithelial neoplasiahuman papillomavirusmicroRNA profilingself-sampling

Identifiers

PMID30192375
PMCPMC6518875

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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.