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

Table 2

Twelve BAC clones that were able to discriminate samples of cancerous tissue from samples of normal pancreatic tissue obtained from patients without ductal adenocarcinomas and samples of noncancerous pancreatic tissue obtained from patients with ductal adenocarcinomas in the learning cohort with 100% specificity.

BAC clone ID	Location	Cutoff value (CV)	DNA methylation status∗	Sensitivity (%)	Specificity (%)
RP11-121D3	3p26.3	1.46	CV<	43.5	100
RP11-89G4	5q31.1	0.80	CV>	37.0	100
RP11-177M14	6q23.2	1.45	CV<	67.4	100
RP11-92I18	10q11.23	1.34	CV<	67.4	100
RP11-36H11	11p13-11p12	0.56	CV>	26.7	100
RP11-91M21	12q24.21	1.49	CV<	53.3	100
RP11-458A21	14q13.3	1.29	CV<	72.7	100
RP11-88P10	15q12	0.86	CV>	53.3	100
RP11-424K7	16q12.1	1.29	CV<	75.0	100
RP11-2O22	19q13.31	1.16	CV<	33.3	100
RP11-149O7	20p12.3	1.22	CV<	31.1	100
RP11-79G10	20q12	1.16	CV<	35.6	100

^∗CV>, when the signal ratio was lower than the cutoff value, the tissue sample was considered to be cancerous; CV<, when the signal ratio was higher than the cutoff value, the tissue sample was considered to be cancerous.