Abstract
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.
| Original language | English |
|---|---|
| Article number | 780836 |
| Journal | Journal of Biomedicine and Biotechnology |
| Volume | 2011 |
| DOIs | |
| Publication status | Published - 2011 |
| Externally published | Yes |
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ASJC Scopus subject areas
- Biotechnology
- Medicine(all)
- Molecular Medicine
- Molecular Biology
- Genetics
- Health, Toxicology and Mutagenesis
Cite this
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. / Kanai, Yae; Gotoh, Masahiro; Arai, Eri; Wakai-Ushijima, Saori; Hiraoka, Nobuyoshi; Kosuge, Tomoo; Hosoda, Fumie; Shibata, Tatsuhiro; Kondo, Tadashi; Yokoi, Sana; Imoto, Issei; Inazawa, Johji.
In: Journal of Biomedicine and Biotechnology, Vol. 2011, 780836, 2011.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - 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
AU - Kanai, Yae
AU - Gotoh, Masahiro
AU - Arai, Eri
AU - Wakai-Ushijima, Saori
AU - Hiraoka, Nobuyoshi
AU - Kosuge, Tomoo
AU - Hosoda, Fumie
AU - Shibata, Tatsuhiro
AU - Kondo, Tadashi
AU - Yokoi, Sana
AU - Imoto, Issei
AU - Inazawa, Johji
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=79952216770&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79952216770&partnerID=8YFLogxK
U2 - 10.1155/2011/780836
DO - 10.1155/2011/780836
M3 - Article
VL - 2011
JO - BioMed Research International
JF - BioMed Research International
SN - 2314-6133
M1 - 780836
ER -