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Characterization of CDKN2A(p16) methylation and impact in colorectal cancer: systematic analysis using pyrosequencing

BACKGROUND: The aim of this study is to analyse CDKN2A methylation using pyrosequencing on a large cohort of colorectal cancers and corresponding non-neoplastic tissues. In a second step, the effect of methylation on clinical outcome is addressed. METHODS: Primary colorectal cancers and matched non-...

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Autores principales: Bihl, Michel P, Foerster, Anja, Lugli, Alessandro, Zlobec, Inti
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3479016/
https://www.ncbi.nlm.nih.gov/pubmed/22925370
http://dx.doi.org/10.1186/1479-5876-10-173
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author Bihl, Michel P
Foerster, Anja
Lugli, Alessandro
Zlobec, Inti
author_facet Bihl, Michel P
Foerster, Anja
Lugli, Alessandro
Zlobec, Inti
author_sort Bihl, Michel P
collection PubMed
description BACKGROUND: The aim of this study is to analyse CDKN2A methylation using pyrosequencing on a large cohort of colorectal cancers and corresponding non-neoplastic tissues. In a second step, the effect of methylation on clinical outcome is addressed. METHODS: Primary colorectal cancers and matched non-neoplastic tissues from 432 patients underwent CDKN2A methylation analysis by pyrosequencing (PyroMarkQ96). Methylation was then related to clinical outcome, microsatellite instability (MSI), and BRAF and KRAS mutation. Different amplification conditions (35 to 50 PCR cycles) using a range of 0-100% methylated DNA were tested. RESULTS: Background methylation was at most 10% with ≥35 PCR cycles. Correlation of observed and expected values was high, even at low methylation levels (0.02%, 0.6%, 2%). Accuracy of detection was optimal with 45 PCR cycles. Methylation in normal mucosa ranged from 0 to >90% in some cases. Based on the maximum value of 10% background, positivity was defined as a ≥20% difference in methylation between tumor and normal tissue, which occurred in 87 cases. CDKN2A methylation positivity was associated with MSI (p = 0.025), BRAF mutation (p < 0.0001), higher tumor grade (p < 0.0001), mucinous histology (p = 0.0209) but not with KRAS mutation. CDKN2A methylation had an independent adverse effect (p = 0.0058) on prognosis. CONCLUSION: The non-negligible CDKN2A methylation of normal colorectal mucosa may confound the assessment of tumor-specific hypermethylation, suggesting that corresponding non-neoplastic tissue should be used as a control. CDKN2A methylation is robustly detected by pyrosequencing, even at low levels, suggesting that this unfavorable prognostic biomarker warrants investigation in prospective studies.
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spelling pubmed-34790162012-10-24 Characterization of CDKN2A(p16) methylation and impact in colorectal cancer: systematic analysis using pyrosequencing Bihl, Michel P Foerster, Anja Lugli, Alessandro Zlobec, Inti J Transl Med Research BACKGROUND: The aim of this study is to analyse CDKN2A methylation using pyrosequencing on a large cohort of colorectal cancers and corresponding non-neoplastic tissues. In a second step, the effect of methylation on clinical outcome is addressed. METHODS: Primary colorectal cancers and matched non-neoplastic tissues from 432 patients underwent CDKN2A methylation analysis by pyrosequencing (PyroMarkQ96). Methylation was then related to clinical outcome, microsatellite instability (MSI), and BRAF and KRAS mutation. Different amplification conditions (35 to 50 PCR cycles) using a range of 0-100% methylated DNA were tested. RESULTS: Background methylation was at most 10% with ≥35 PCR cycles. Correlation of observed and expected values was high, even at low methylation levels (0.02%, 0.6%, 2%). Accuracy of detection was optimal with 45 PCR cycles. Methylation in normal mucosa ranged from 0 to >90% in some cases. Based on the maximum value of 10% background, positivity was defined as a ≥20% difference in methylation between tumor and normal tissue, which occurred in 87 cases. CDKN2A methylation positivity was associated with MSI (p = 0.025), BRAF mutation (p < 0.0001), higher tumor grade (p < 0.0001), mucinous histology (p = 0.0209) but not with KRAS mutation. CDKN2A methylation had an independent adverse effect (p = 0.0058) on prognosis. CONCLUSION: The non-negligible CDKN2A methylation of normal colorectal mucosa may confound the assessment of tumor-specific hypermethylation, suggesting that corresponding non-neoplastic tissue should be used as a control. CDKN2A methylation is robustly detected by pyrosequencing, even at low levels, suggesting that this unfavorable prognostic biomarker warrants investigation in prospective studies. BioMed Central 2012-08-27 /pmc/articles/PMC3479016/ /pubmed/22925370 http://dx.doi.org/10.1186/1479-5876-10-173 Text en Copyright ©2012 Bihl et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Bihl, Michel P
Foerster, Anja
Lugli, Alessandro
Zlobec, Inti
Characterization of CDKN2A(p16) methylation and impact in colorectal cancer: systematic analysis using pyrosequencing
title Characterization of CDKN2A(p16) methylation and impact in colorectal cancer: systematic analysis using pyrosequencing
title_full Characterization of CDKN2A(p16) methylation and impact in colorectal cancer: systematic analysis using pyrosequencing
title_fullStr Characterization of CDKN2A(p16) methylation and impact in colorectal cancer: systematic analysis using pyrosequencing
title_full_unstemmed Characterization of CDKN2A(p16) methylation and impact in colorectal cancer: systematic analysis using pyrosequencing
title_short Characterization of CDKN2A(p16) methylation and impact in colorectal cancer: systematic analysis using pyrosequencing
title_sort characterization of cdkn2a(p16) methylation and impact in colorectal cancer: systematic analysis using pyrosequencing
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3479016/
https://www.ncbi.nlm.nih.gov/pubmed/22925370
http://dx.doi.org/10.1186/1479-5876-10-173
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