Consistency of the S5 DNA methylation classifier in formalin‐fixed biopsies versus corresponding exfoliated cells for the detection of pre‐cancerous cervical lesions

Abstract Methylation biomarkers are promising tools for diagnosis and disease prevention. The S5 classifier is aimed at the prevention of cervical cancer by the early detection of cervical intraepithelial neoplasia (CIN). S5 is based on pyrosequencing a promoter region of EPB41L3 and five late regio...

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Main Authors: Caroline Reuter, Matthew Preece, Rawinder Banwait, Sabrina Boer, Jack Cuzick, Attila Lorincz, Belinda Nedjai
Format: Article
Language:English
Published: Wiley 2021-04-01
Series:Cancer Medicine
Subjects:
Online Access:https://doi.org/10.1002/cam4.3849
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spelling doaj-66f9e3a9a9e34ed987bc1fcb1bd3a6db2021-04-08T04:25:00ZengWileyCancer Medicine2045-76342021-04-011082668267910.1002/cam4.3849Consistency of the S5 DNA methylation classifier in formalin‐fixed biopsies versus corresponding exfoliated cells for the detection of pre‐cancerous cervical lesionsCaroline Reuter0Matthew Preece1Rawinder Banwait2Sabrina Boer3Jack Cuzick4Attila Lorincz5Belinda Nedjai6Centre for Cancer Prevention Wolfson Institute of Preventive Medicine Queen Mary University of London London UKCentre for Cancer Prevention Wolfson Institute of Preventive Medicine Queen Mary University of London London UKCentre for Cancer Prevention Wolfson Institute of Preventive Medicine Queen Mary University of London London UKDepartment of Urology Radboud University Medical Center Radboud Institute for Molecular Life Sciences Nijmegen the NetherlandsCentre for Cancer Prevention Wolfson Institute of Preventive Medicine Queen Mary University of London London UKCentre for Cancer Prevention Wolfson Institute of Preventive Medicine Queen Mary University of London London UKCentre for Cancer Prevention Wolfson Institute of Preventive Medicine Queen Mary University of London London UKAbstract Methylation biomarkers are promising tools for diagnosis and disease prevention. The S5 classifier is aimed at the prevention of cervical cancer by the early detection of cervical intraepithelial neoplasia (CIN). S5 is based on pyrosequencing a promoter region of EPB41L3 and five late regions of HPV types 16, 18, 31, and 33 following bisulfite conversion of DNA. Good biomarkers should perform well in a variety of sample types such as exfoliated cells, fresh frozen or formalin‐fixed paraffin‐embedded (FFPE) materials. Here, we tested the performance of S5 on 315 FFPE biopsies with paired exfoliated cervical samples using four different conversion kits (Epitect Bisulfite, Epitect Fast Bisulfite, EZ DNA Methylation, and EZ DNA Methylation‐Lightning). The S5 values from FFPE biopsies for all kits were significantly correlated with those obtained from their paired exfoliated cells. For the EZ DNA Methylation kit, we observed an average increased methylation of 4.4% in FFPE. This was due to incomplete conversion of DNA (73% for FFPE vs. 95% for cells). The other kits had a DNA conversion rate in FFPE similar to the cells (95%–97%). S5 performed well at discriminating <CIN2 lesions from CIN2+ lesions on the FFPE with all kits given optimized adjustments to the cut‐off. The area under the curve (AUC) for S5 on FFPE was not significantly different from the paired cells (0.74–0.79 vs. 0.81). The best sensitivity and specificity were obtained for EZ DNA Methylation after the adjustment of the cut‐off to reflect its lower conversion rate. Consistent methylation results can be obtained from FFPE material regardless of the conversion kit used. The S5 classifier performed as well on FFPE material as on exfoliated cells with adjusted cut‐off allowing easier clinical implementation.https://doi.org/10.1002/cam4.3849biomarkercervical cancerDNA methylationformalin‐fixed paraffin‐embedded samples (FFPE)S5 classifier
collection DOAJ
language English
format Article
sources DOAJ
author Caroline Reuter
Matthew Preece
Rawinder Banwait
Sabrina Boer
Jack Cuzick
Attila Lorincz
Belinda Nedjai
spellingShingle Caroline Reuter
Matthew Preece
Rawinder Banwait
Sabrina Boer
Jack Cuzick
Attila Lorincz
Belinda Nedjai
Consistency of the S5 DNA methylation classifier in formalin‐fixed biopsies versus corresponding exfoliated cells for the detection of pre‐cancerous cervical lesions
Cancer Medicine
biomarker
cervical cancer
DNA methylation
formalin‐fixed paraffin‐embedded samples (FFPE)
S5 classifier
author_facet Caroline Reuter
Matthew Preece
Rawinder Banwait
Sabrina Boer
Jack Cuzick
Attila Lorincz
Belinda Nedjai
author_sort Caroline Reuter
title Consistency of the S5 DNA methylation classifier in formalin‐fixed biopsies versus corresponding exfoliated cells for the detection of pre‐cancerous cervical lesions
title_short Consistency of the S5 DNA methylation classifier in formalin‐fixed biopsies versus corresponding exfoliated cells for the detection of pre‐cancerous cervical lesions
title_full Consistency of the S5 DNA methylation classifier in formalin‐fixed biopsies versus corresponding exfoliated cells for the detection of pre‐cancerous cervical lesions
title_fullStr Consistency of the S5 DNA methylation classifier in formalin‐fixed biopsies versus corresponding exfoliated cells for the detection of pre‐cancerous cervical lesions
title_full_unstemmed Consistency of the S5 DNA methylation classifier in formalin‐fixed biopsies versus corresponding exfoliated cells for the detection of pre‐cancerous cervical lesions
title_sort consistency of the s5 dna methylation classifier in formalin‐fixed biopsies versus corresponding exfoliated cells for the detection of pre‐cancerous cervical lesions
publisher Wiley
series Cancer Medicine
issn 2045-7634
publishDate 2021-04-01
description Abstract Methylation biomarkers are promising tools for diagnosis and disease prevention. The S5 classifier is aimed at the prevention of cervical cancer by the early detection of cervical intraepithelial neoplasia (CIN). S5 is based on pyrosequencing a promoter region of EPB41L3 and five late regions of HPV types 16, 18, 31, and 33 following bisulfite conversion of DNA. Good biomarkers should perform well in a variety of sample types such as exfoliated cells, fresh frozen or formalin‐fixed paraffin‐embedded (FFPE) materials. Here, we tested the performance of S5 on 315 FFPE biopsies with paired exfoliated cervical samples using four different conversion kits (Epitect Bisulfite, Epitect Fast Bisulfite, EZ DNA Methylation, and EZ DNA Methylation‐Lightning). The S5 values from FFPE biopsies for all kits were significantly correlated with those obtained from their paired exfoliated cells. For the EZ DNA Methylation kit, we observed an average increased methylation of 4.4% in FFPE. This was due to incomplete conversion of DNA (73% for FFPE vs. 95% for cells). The other kits had a DNA conversion rate in FFPE similar to the cells (95%–97%). S5 performed well at discriminating <CIN2 lesions from CIN2+ lesions on the FFPE with all kits given optimized adjustments to the cut‐off. The area under the curve (AUC) for S5 on FFPE was not significantly different from the paired cells (0.74–0.79 vs. 0.81). The best sensitivity and specificity were obtained for EZ DNA Methylation after the adjustment of the cut‐off to reflect its lower conversion rate. Consistent methylation results can be obtained from FFPE material regardless of the conversion kit used. The S5 classifier performed as well on FFPE material as on exfoliated cells with adjusted cut‐off allowing easier clinical implementation.
topic biomarker
cervical cancer
DNA methylation
formalin‐fixed paraffin‐embedded samples (FFPE)
S5 classifier
url https://doi.org/10.1002/cam4.3849
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