The University of Southampton
University of Southampton Institutional Repository

Combined HPV 16 E2 and L1 methylation predict response to treatment with cidofovir and imiquimod in patients with vulval intraepithelial neoplasia

Combined HPV 16 E2 and L1 methylation predict response to treatment with cidofovir and imiquimod in patients with vulval intraepithelial neoplasia
Combined HPV 16 E2 and L1 methylation predict response to treatment with cidofovir and imiquimod in patients with vulval intraepithelial neoplasia
Background: topical cidofovir and imiquimod can effectively treat approximately 55% of patients with vulval intraepithelial neoplasia (VIN), thus avoiding the need for surgery. Human papillomavirus (HPV) E⁢2 gene methylation predicts response to treatment but a methylation measurement is only obtainable in approximately 50% of patients. OBJECTIVE: This work aimed to determine if the applicability and predictive power of the E⁢2 methylation assay could be improved by combining it with the components of a host and viral DNA methylation panel (S5) that has been found to predict disease progression in patients with cervical intraepithelial neoplasia.

Methods: HPV E2 methylation and S5 classifier score were measured in fresh tissue samples collected pre-treatment from 132 patients with biopsy-proven VIN grade 3 who participated in a multicentre clinical trial and were randomised to treatment with cidofovir or imiquimod. RESULTS: Combining HPV16 E⁢2 and HPV16 L⁢1 methylation provides a biomarker that is both predictive of response to topical treatment and that can produce a clinically applicable result for all patients. Patients with HPV 16 L⁢1ℎ
1875-8592
143-153
Hurt, Christopher Nicholas
bf8b37a0-8f08-4b47-b3f3-6fc65f7ab87f
Nedjai, Belinda
cff413ee-eea0-448a-9922-afadc7dd36dd
Alvarez-Mendoza, Carlos
f40d2653-4293-4d4e-9c4b-fa0e7facc065
Powell, Ned
f2df188a-4cc7-4d76-825f-fbbd5ed4a82d
Tristram, Amanda
91b0d212-1244-40ac-b09f-d8fd51819e45
Jones, Sadie
88a38501-176c-4108-96d9-fa359e9efc25
Hurt, Christopher Nicholas
bf8b37a0-8f08-4b47-b3f3-6fc65f7ab87f
Nedjai, Belinda
cff413ee-eea0-448a-9922-afadc7dd36dd
Alvarez-Mendoza, Carlos
f40d2653-4293-4d4e-9c4b-fa0e7facc065
Powell, Ned
f2df188a-4cc7-4d76-825f-fbbd5ed4a82d
Tristram, Amanda
91b0d212-1244-40ac-b09f-d8fd51819e45
Jones, Sadie
88a38501-176c-4108-96d9-fa359e9efc25

Hurt, Christopher Nicholas, Nedjai, Belinda, Alvarez-Mendoza, Carlos, Powell, Ned, Tristram, Amanda and Jones, Sadie (2022) Combined HPV 16 E2 and L1 methylation predict response to treatment with cidofovir and imiquimod in patients with vulval intraepithelial neoplasia. Cancer Biomarkers, 35 (2), 143-153. (doi:10.3233/cbm-210448).

Record type: Article

Abstract

Background: topical cidofovir and imiquimod can effectively treat approximately 55% of patients with vulval intraepithelial neoplasia (VIN), thus avoiding the need for surgery. Human papillomavirus (HPV) E⁢2 gene methylation predicts response to treatment but a methylation measurement is only obtainable in approximately 50% of patients. OBJECTIVE: This work aimed to determine if the applicability and predictive power of the E⁢2 methylation assay could be improved by combining it with the components of a host and viral DNA methylation panel (S5) that has been found to predict disease progression in patients with cervical intraepithelial neoplasia.

Methods: HPV E2 methylation and S5 classifier score were measured in fresh tissue samples collected pre-treatment from 132 patients with biopsy-proven VIN grade 3 who participated in a multicentre clinical trial and were randomised to treatment with cidofovir or imiquimod. RESULTS: Combining HPV16 E⁢2 and HPV16 L⁢1 methylation provides a biomarker that is both predictive of response to topical treatment and that can produce a clinically applicable result for all patients. Patients with HPV 16 L⁢1ℎ

Text
cbm_2022_35-2_cbm-35-2-cbm210448_cbm-35-cbm210448 - Version of Record
Available under License Creative Commons Attribution.
Download (992kB)

More information

Accepted/In Press date: 24 June 2022
Published date: 12 October 2022

Identifiers

Local EPrints ID: 488189
URI: http://eprints.soton.ac.uk/id/eprint/488189
ISSN: 1875-8592
PURE UUID: bcf7175b-50d1-4757-9a6c-ec842502f377
ORCID for Christopher Nicholas Hurt: ORCID iD orcid.org/0000-0003-1206-8355

Catalogue record

Date deposited: 18 Mar 2024 17:31
Last modified: 23 Mar 2024 03:13

Export record

Altmetrics

Contributors

Author: Christopher Nicholas Hurt ORCID iD
Author: Belinda Nedjai
Author: Carlos Alvarez-Mendoza
Author: Ned Powell
Author: Amanda Tristram
Author: Sadie Jones

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×