Validation of epigenetic markers to identify colitis associated cancer: Results of module 1 of the ENDCAP-C study.


Journal

EBioMedicine
ISSN: 2352-3964
Titre abrégé: EBioMedicine
Pays: Netherlands
ID NLM: 101647039

Informations de publication

Date de publication:
Jan 2019
Historique:
received: 21 08 2018
revised: 04 10 2018
accepted: 16 11 2018
pubmed: 27 11 2018
medline: 14 6 2019
entrez: 27 11 2018
Statut: ppublish

Résumé

Chronic inflammation caused by ulcerative colitis (UC) causes a pro-neoplastic drive in the inflamed colon, leading to a markedly greater risk of invasive malignancy compared to the general population. Despite surveillance protocols, 50% of cases proceed to cancer before neoplasia is detected. The Enhanced Neoplasia Detection and Cancer Prevention in Chronic Colitis (ENDCaP-C) trial is an observational multi-centre test accuracy study to ascertain the role of molecular markers in improving the detection of dysplasia. We aimed to validate previously identified biomarkers of neoplasia in a retrospective cohort and create predictive models for later validation in a prospective cohort. A retrospective analysis using bisulphite pyrosequencing of an 11 marker panel (SFRP1, SFRP2, SRP4, SRP5, WIF1, TUBB6, SOX7, APC1A, APC2, MINT1, RUNX3) in samples from 35 patients with cancer, 78 with dysplasia and 343 without neoplasia undergoing surveillance for UC associated neoplasia across 6 medical centres. Predictive models for UC associated cancer/dysplasia were created in the setting of neoplastic and non-neoplastic mucosa. For neoplastic mucosa a five marker panel (SFRP2, SFRP4, WIF1, APC1A, APC2) was accurate in detecting pre-cancerous and invasive neoplasia (AUC = 0.83; 95% CI: 0.79, 0.88), and dysplasia (AUC = 0.88; (0.84, 0.91). For non-neoplastic mucosa a four marker panel (APC1A, SFRP4, SFRP5, SOX7) had modest accuracy (AUC = 0.68; 95% CI: 0.62,0.73) in predicting associated bowel neoplasia through the methylation signature of distant non-neoplastic colonic mucosa. This multiplex methylation marker panel is accurate in the detection of ulcerative colitis associated dysplasia and neoplasia and is currently being validated in a prospective clinical trial. The ENDCAP-C study was funded by the National Institute for Health Research Efficacy and Mechanism Evaluation (EME) Programme (11/100/29).

Sections du résumé

BACKGROUND BACKGROUND
Chronic inflammation caused by ulcerative colitis (UC) causes a pro-neoplastic drive in the inflamed colon, leading to a markedly greater risk of invasive malignancy compared to the general population. Despite surveillance protocols, 50% of cases proceed to cancer before neoplasia is detected. The Enhanced Neoplasia Detection and Cancer Prevention in Chronic Colitis (ENDCaP-C) trial is an observational multi-centre test accuracy study to ascertain the role of molecular markers in improving the detection of dysplasia. We aimed to validate previously identified biomarkers of neoplasia in a retrospective cohort and create predictive models for later validation in a prospective cohort.
METHODS METHODS
A retrospective analysis using bisulphite pyrosequencing of an 11 marker panel (SFRP1, SFRP2, SRP4, SRP5, WIF1, TUBB6, SOX7, APC1A, APC2, MINT1, RUNX3) in samples from 35 patients with cancer, 78 with dysplasia and 343 without neoplasia undergoing surveillance for UC associated neoplasia across 6 medical centres. Predictive models for UC associated cancer/dysplasia were created in the setting of neoplastic and non-neoplastic mucosa.
FINDINGS RESULTS
For neoplastic mucosa a five marker panel (SFRP2, SFRP4, WIF1, APC1A, APC2) was accurate in detecting pre-cancerous and invasive neoplasia (AUC = 0.83; 95% CI: 0.79, 0.88), and dysplasia (AUC = 0.88; (0.84, 0.91). For non-neoplastic mucosa a four marker panel (APC1A, SFRP4, SFRP5, SOX7) had modest accuracy (AUC = 0.68; 95% CI: 0.62,0.73) in predicting associated bowel neoplasia through the methylation signature of distant non-neoplastic colonic mucosa.
INTERPRETATION CONCLUSIONS
This multiplex methylation marker panel is accurate in the detection of ulcerative colitis associated dysplasia and neoplasia and is currently being validated in a prospective clinical trial.
FUNDING BACKGROUND
The ENDCAP-C study was funded by the National Institute for Health Research Efficacy and Mechanism Evaluation (EME) Programme (11/100/29).

Identifiants

pubmed: 30473377
pii: S2352-3964(18)30538-3
doi: 10.1016/j.ebiom.2018.11.034
pmc: PMC6355942
pii:
doi:

Substances chimiques

Biomarkers, Tumor 0

Types de publication

Clinical Trial Journal Article Multicenter Study Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

265-271

Subventions

Organisme : Department of Health
ID : 11/100/29
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/M009157/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/M016587/1
Pays : United Kingdom

Informations de copyright

Copyright © 2018 The Authors. Published by Elsevier B.V. All rights reserved.

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Auteurs

Andrew D Beggs (AD)

Institute of Cancer & Genomic Science, University of Birmingham, UK. Electronic address: a.beggs@bham.ac.uk.

Samir Mehta (S)

Birmingham Clinical Trials Unit, University of Birmingham, UK.

Jonathan J Deeks (JJ)

Birmingham Clinical Trials Unit, University of Birmingham, UK; National Institute for Health Research (NIHR), Birmingham Inflammation Biomedical Research Centre, UK.

Jonathan D James (JD)

Institute of Cancer & Genomic Science, University of Birmingham, UK.

Germaine M Caldwell (GM)

Institute of Cancer & Genomic Science, University of Birmingham, UK.

Mark P Dilworth (MP)

Institute of Cancer & Genomic Science, University of Birmingham, UK.

Joanne D Stockton (JD)

Institute of Cancer & Genomic Science, University of Birmingham, UK.

Daniel Blakeway (D)

Institute of Cancer & Genomic Science, University of Birmingham, UK.

Valerie Pestinger (V)

Institute of Cancer & Genomic Science, University of Birmingham, UK.

Alexandra Vince (A)

Birmingham Clinical Trials Unit, University of Birmingham, UK.

Phillipe Taniere (P)

University Hospital Birmingham NHS Foundation Trust, UK.

Tariq Iqbal (T)

Institute of Cancer & Genomic Science, University of Birmingham, UK.

Laura Magill (L)

Birmingham Clinical Trials Unit, University of Birmingham, UK.

Glenn Matthews (G)

Institute of Cancer & Genomic Science, University of Birmingham, UK.

Dion G Morton (DG)

Institute of Cancer & Genomic Science, University of Birmingham, UK.

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Classifications MeSH