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Diagnosis and Prognostication of Ductal Adenocarcinomas of the Pancreas Based on Genome-Wide DNA Methylation Profiling by Bacterial Artificial Chromosome Array-Based Methylated CpG Island Amplification
To establish diagnostic criteria for ductal adenocarcinomas of the pancreas (PCs), bacterial artificial chromosome (BAC) array-based methylated CpG island amplification was performed using 139 tissue samples. Twelve BAC clones, for which DNA methylation status was able to discriminate cancerous tiss...
Autores principales: | , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Hindawi Publishing Corporation
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3010700/ https://www.ncbi.nlm.nih.gov/pubmed/21197409 http://dx.doi.org/10.1155/2011/780836 |
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author | Gotoh, Masahiro Arai, Eri Wakai-Ushijima, Saori Hiraoka, Nobuyoshi Kosuge, Tomoo Hosoda, Fumie Shibata, Tatsuhiro Kondo, Tadashi Yokoi, Sana Imoto, Issei Inazawa, Johji Kanai, Yae |
author_facet | Gotoh, Masahiro Arai, Eri Wakai-Ushijima, Saori Hiraoka, Nobuyoshi Kosuge, Tomoo Hosoda, Fumie Shibata, Tatsuhiro Kondo, Tadashi Yokoi, Sana Imoto, Issei Inazawa, Johji Kanai, Yae |
author_sort | Gotoh, Masahiro |
collection | PubMed |
description | To establish diagnostic criteria for ductal adenocarcinomas of the pancreas (PCs), bacterial artificial chromosome (BAC) array-based methylated CpG island amplification was performed using 139 tissue samples. Twelve BAC clones, for which DNA methylation status was able to discriminate cancerous tissue (T) from noncancerous pancreatic tissue in the learning cohort with a specificity of 100%, were identified. Using criteria that combined the 12 BAC clones, T-samples were diagnosed as cancers with 100% sensitivity and specificity in both the learning and validation cohorts. DNA methylation status on 11 of the BAC clones, which was able to discriminate patients showing early relapse from those with no relapse in the learning cohort with 100% specificity, was correlated with the recurrence-free and overall survival rates in the validation cohort and was an independent prognostic factor by multivariate analysis. Genome-wide DNA methylation profiling may provide optimal diagnostic markers and prognostic indicators for patients with PCs. |
format | Text |
id | pubmed-3010700 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-30107002010-12-30 Diagnosis and Prognostication of Ductal Adenocarcinomas of the Pancreas Based on Genome-Wide DNA Methylation Profiling by Bacterial Artificial Chromosome Array-Based Methylated CpG Island Amplification Gotoh, Masahiro Arai, Eri Wakai-Ushijima, Saori Hiraoka, Nobuyoshi Kosuge, Tomoo Hosoda, Fumie Shibata, Tatsuhiro Kondo, Tadashi Yokoi, Sana Imoto, Issei Inazawa, Johji Kanai, Yae J Biomed Biotechnol Research Article To establish diagnostic criteria for ductal adenocarcinomas of the pancreas (PCs), bacterial artificial chromosome (BAC) array-based methylated CpG island amplification was performed using 139 tissue samples. Twelve BAC clones, for which DNA methylation status was able to discriminate cancerous tissue (T) from noncancerous pancreatic tissue in the learning cohort with a specificity of 100%, were identified. Using criteria that combined the 12 BAC clones, T-samples were diagnosed as cancers with 100% sensitivity and specificity in both the learning and validation cohorts. DNA methylation status on 11 of the BAC clones, which was able to discriminate patients showing early relapse from those with no relapse in the learning cohort with 100% specificity, was correlated with the recurrence-free and overall survival rates in the validation cohort and was an independent prognostic factor by multivariate analysis. Genome-wide DNA methylation profiling may provide optimal diagnostic markers and prognostic indicators for patients with PCs. Hindawi Publishing Corporation 2011 2010-12-21 /pmc/articles/PMC3010700/ /pubmed/21197409 http://dx.doi.org/10.1155/2011/780836 Text en Copyright © 2011 Masahiro Gotoh et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Gotoh, Masahiro Arai, Eri Wakai-Ushijima, Saori Hiraoka, Nobuyoshi Kosuge, Tomoo Hosoda, Fumie Shibata, Tatsuhiro Kondo, Tadashi Yokoi, Sana Imoto, Issei Inazawa, Johji Kanai, Yae Diagnosis and Prognostication of Ductal Adenocarcinomas of the Pancreas Based on Genome-Wide DNA Methylation Profiling by Bacterial Artificial Chromosome Array-Based Methylated CpG Island Amplification |
title | Diagnosis and Prognostication of Ductal Adenocarcinomas of the Pancreas Based on Genome-Wide DNA Methylation Profiling by Bacterial Artificial Chromosome Array-Based Methylated CpG Island Amplification |
title_full | Diagnosis and Prognostication of Ductal Adenocarcinomas of the Pancreas Based on Genome-Wide DNA Methylation Profiling by Bacterial Artificial Chromosome Array-Based Methylated CpG Island Amplification |
title_fullStr | Diagnosis and Prognostication of Ductal Adenocarcinomas of the Pancreas Based on Genome-Wide DNA Methylation Profiling by Bacterial Artificial Chromosome Array-Based Methylated CpG Island Amplification |
title_full_unstemmed | Diagnosis and Prognostication of Ductal Adenocarcinomas of the Pancreas Based on Genome-Wide DNA Methylation Profiling by Bacterial Artificial Chromosome Array-Based Methylated CpG Island Amplification |
title_short | Diagnosis and Prognostication of Ductal Adenocarcinomas of the Pancreas Based on Genome-Wide DNA Methylation Profiling by Bacterial Artificial Chromosome Array-Based Methylated CpG Island Amplification |
title_sort | diagnosis and prognostication of ductal adenocarcinomas of the pancreas based on genome-wide dna methylation profiling by bacterial artificial chromosome array-based methylated cpg island amplification |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3010700/ https://www.ncbi.nlm.nih.gov/pubmed/21197409 http://dx.doi.org/10.1155/2011/780836 |
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