Table II.
Concordance between hypermethylation and hypomethylation alterations detected by MS-AFLP arrays in cancer cell line CW-2 and non-cancer UCM samples.
| A, Hypermethylation alterations | ||
|---|---|---|
|
| ||
| In UCM | ||
|
|
||
| Hyper-methylateda | Non-hyper-methylated | |
| In CW-2 | ||
| Hypermethylated | 62 | 421 |
| Non-hypermethylated | 86 | 12946 |
| Odds ratio = 22.15 | ||
| 95% CI 15.48–31.56 | ||
| Fisher’s exact test P<2.2×10−16 | ||
|
| ||
| B, Hypomethylation alterations | ||
|
| ||
| In UCM | ||
|
|
||
| Hyper-methylatedb | No hyper-methylated | |
|
| ||
| In CW-2 | ||
| Hypomethylated | 27 | 102 |
| Non-hypomethylated | 91 | 13295 |
| Odds ratio = 38.63 | ||
| 95% CI 23.13–62.91 | ||
| Fisher’s exact test P<2.2×10−16 | ||
a
Spots hypermethylated in 3 or more UCM samples.
b
Spots hypo-methylated in 3 or more UCM samples. The total number of spots is 13,515 after filtering the 30% lowest-intensity spots from the 19,308 methylation-sensitive spots printed on the MS-AFLP array. The number of spots without changes is an over-estimation because they include other loci that were not sufficiently amplified in the respective experiments.