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

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 det...

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Autores principales: Beggs, Andrew D., Mehta, Samir, Deeks, Jonathan J., James, Jonathan D., Caldwell, Germaine M., Dilworth, Mark P., Stockton, Joanne D., Blakeway, Daniel, Pestinger, Valerie, Vince, Alexandra, Taniere, Phillipe, Iqbal, Tariq, Magill, Laura, Matthews, Glenn, Morton, Dion G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6355942/
https://www.ncbi.nlm.nih.gov/pubmed/30473377
http://dx.doi.org/10.1016/j.ebiom.2018.11.034
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author Beggs, Andrew D.
Mehta, Samir
Deeks, Jonathan J.
James, Jonathan D.
Caldwell, Germaine M.
Dilworth, Mark P.
Stockton, Joanne D.
Blakeway, Daniel
Pestinger, Valerie
Vince, Alexandra
Taniere, Phillipe
Iqbal, Tariq
Magill, Laura
Matthews, Glenn
Morton, Dion G.
author_facet Beggs, Andrew D.
Mehta, Samir
Deeks, Jonathan J.
James, Jonathan D.
Caldwell, Germaine M.
Dilworth, Mark P.
Stockton, Joanne D.
Blakeway, Daniel
Pestinger, Valerie
Vince, Alexandra
Taniere, Phillipe
Iqbal, Tariq
Magill, Laura
Matthews, Glenn
Morton, Dion G.
author_sort Beggs, Andrew D.
collection PubMed
description 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: 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: 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: 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: The ENDCAP-C study was funded by the National Institute for Health Research Efficacy and Mechanism Evaluation (EME) Programme (11/100/29).
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spelling pubmed-63559422019-02-08 Validation of epigenetic markers to identify colitis associated cancer: Results of module 1 of the ENDCAP-C study Beggs, Andrew D. Mehta, Samir Deeks, Jonathan J. James, Jonathan D. Caldwell, Germaine M. Dilworth, Mark P. Stockton, Joanne D. Blakeway, Daniel Pestinger, Valerie Vince, Alexandra Taniere, Phillipe Iqbal, Tariq Magill, Laura Matthews, Glenn Morton, Dion G. EBioMedicine Research paper 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: 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: 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: 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: The ENDCAP-C study was funded by the National Institute for Health Research Efficacy and Mechanism Evaluation (EME) Programme (11/100/29). Elsevier 2018-11-22 /pmc/articles/PMC6355942/ /pubmed/30473377 http://dx.doi.org/10.1016/j.ebiom.2018.11.034 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research paper
Beggs, Andrew D.
Mehta, Samir
Deeks, Jonathan J.
James, Jonathan D.
Caldwell, Germaine M.
Dilworth, Mark P.
Stockton, Joanne D.
Blakeway, Daniel
Pestinger, Valerie
Vince, Alexandra
Taniere, Phillipe
Iqbal, Tariq
Magill, Laura
Matthews, Glenn
Morton, Dion G.
Validation of epigenetic markers to identify colitis associated cancer: Results of module 1 of the ENDCAP-C study
title Validation of epigenetic markers to identify colitis associated cancer: Results of module 1 of the ENDCAP-C study
title_full Validation of epigenetic markers to identify colitis associated cancer: Results of module 1 of the ENDCAP-C study
title_fullStr Validation of epigenetic markers to identify colitis associated cancer: Results of module 1 of the ENDCAP-C study
title_full_unstemmed Validation of epigenetic markers to identify colitis associated cancer: Results of module 1 of the ENDCAP-C study
title_short Validation of epigenetic markers to identify colitis associated cancer: Results of module 1 of the ENDCAP-C study
title_sort validation of epigenetic markers to identify colitis associated cancer: results of module 1 of the endcap-c study
topic Research paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6355942/
https://www.ncbi.nlm.nih.gov/pubmed/30473377
http://dx.doi.org/10.1016/j.ebiom.2018.11.034
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