FAM19A4/miR124-2 methylation analysis as a triage test for HPV-positive women: cross-sectional and longitudinal data from a Dutch screening cohort.


Journal

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases
ISSN: 1469-0691
Titre abrégé: Clin Microbiol Infect
Pays: England
ID NLM: 9516420

Informations de publication

Date de publication:
Jan 2021
Historique:
received: 18 12 2019
revised: 24 02 2020
accepted: 17 03 2020
pubmed: 31 3 2020
medline: 13 8 2021
entrez: 31 3 2020
Statut: ppublish

Résumé

The aim was to evaluate the cross-sectional and long-term triage performance of FAM19A4/miR124-2 methylation analysis in human papillomavirus (HPV)-based cervical screening. We conducted a post hoc analysis within a Dutch population-based HPV-positive study cohort of women aged 30-60 years (n = 979). Cross-sectional cervical intraepithelial neoplasia (CIN) 3+ sensitivity, specificity, positive predictive value and negative predictive value as well as cumulative CIN3+ or cervical cancer risks after 9 and 14 years were compared for three baseline triage strategies: (1) cytology, (2) FAM19A4/miR124-2 methylation analysis and (3) combined FAM19A4/miR124-2 methylation with cytology. CIN3+ sensitivity of FAM19A4/miR124-2 methylation analysis was similar to that of cytology (71.3% vs 76.0%, ratio 0.94, 95% CI 0.84 to 1.05), at a lower specificity (78.3% vs 87.0%, ratio 0.90, 95% CI 0.86 to 0.94). Combining FAM19A4/miR124-2 methylation analysis with cytology resulted in a CIN3+ sensitivity of 84.6% (95% CI 78.3 to 90.8) at a specificity of 69.6% (95% CI 66.5 to 72.7). Similar 9- and 14-year CIN3+ risks for baseline cytology-negative women and baseline FAM19A4/miR124-2 methylation-negative women were observed, with risk differences of -0.42% (95% CI -2.1 to 1.4) and -0.07% (95% CI -1.9 to 1.9), respectively. The 14-year cumulative cervical cancer incidence was significantly lower for methylation-negative women compared to cytology-negative women (risk difference 0.98%, 95% CI 0.26 to 2.0). FAM19A4/miR124-2 methylation analysis has a good triage performance on baseline screening samples, with a cross-sectional CIN3+ sensitivity and long-term triage-negative CIN3+ risk equalling cytology triage. Therefore, FAM19A4/miR124-2 methylation analysis appears to be a good and objective alternative to cytology in triage scenarios in HPV-based cervical screening.

Identifiants

pubmed: 32222459
pii: S1198-743X(20)30163-4
doi: 10.1016/j.cmi.2020.03.018
pii:
doi:

Substances chimiques

Biomarkers, Tumor 0
Cytokines 0
MIRN124-2 microRNA, human 0
MicroRNAs 0
TAFA4 protein, human 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

125.e1-125.e6

Informations de copyright

Copyright © 2020 European Society of Clinical Microbiology and Infectious Diseases. Published by Elsevier Ltd. All rights reserved.

Auteurs

F J Vink (FJ)

Amsterdam UMC, Vrije Universiteit Amsterdam, Pathology, Cancer Center Amsterdam, Amsterdam, the Netherlands.

B I Lissenberg-Witte (BI)

Amsterdam UMC, Vrije Universiteit Amsterdam, Epidemiology and Biostatistics, Amsterdam, the Netherlands.

C J L M Meijer (CJLM)

Amsterdam UMC, Vrije Universiteit Amsterdam, Pathology, Cancer Center Amsterdam, Amsterdam, the Netherlands.

J Berkhof (J)

Amsterdam UMC, Vrije Universiteit Amsterdam, Epidemiology and Biostatistics, Amsterdam, the Netherlands.

F J van Kemenade (FJ)

Department of Pathology, Erasmus MC University Medical Centre, Rotterdam, the Netherlands.

A G Siebers (AG)

PALGA, the Nationwide Network and Registry of Histo- and Cytopathology in the Netherlands, Houten, the Netherlands.

R D M Steenbergen (RDM)

Amsterdam UMC, Vrije Universiteit Amsterdam, Pathology, Cancer Center Amsterdam, Amsterdam, the Netherlands.

M C G Bleeker (MCG)

Amsterdam UMC, Vrije Universiteit Amsterdam, Pathology, Cancer Center Amsterdam, Amsterdam, the Netherlands.

D A M Heideman (DAM)

Amsterdam UMC, Vrije Universiteit Amsterdam, Pathology, Cancer Center Amsterdam, Amsterdam, the Netherlands. Electronic address: dam.heideman@amsterdamumc.nl.

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Classifications MeSH