Table 3.
Univariate and multivariate analysis of the influence of genome-wide methylation profiles on OS of stage III CM patients
| |
|
Univariate |
Multivariate |
||||
|---|---|---|---|---|---|---|---|
| Group1 | # events/# patients2 | HR3 | 95% CI | P | HR4 | 95% CI | P |
| LM |
20/33 |
15 |
|
|
1 |
|
|
| HM |
12/12 |
3.30 |
1.56-6.99 |
0.001 |
2.41 |
1.02-5.70 |
0.045 |
|
LINE-1 hypomethylated |
12/22 |
1 |
|
|
1 |
|
|
| LINE-1 hypermethylated | 20/23 | 2.52 | 1.21-5.26 | 0.01 | 1.76 | 0.75-4.13 | 0.20 |
1 Patients were divided by the k-means clustering algorithm in 2 groups (LM, HM), according to their genome-wide methylation profile, or by LINE-1 methylation being < (hypomethylated) or ≥ (hypermethylated) the median value of the population;
2 number of patients who died (# events) and total number of patients in the group (# patients) are reported.
3 Cox proportional hazard method was used to evaluate the effect of the examined variables on OS. Results were presented as Hazard Ratios (HR) with corresponding 95% Confidence Intervals (CI);
4 a multivariate Cox proportional hazard model was constructed for OS, including k-means clustering by whole-genome methylation profile and LINE-1 methylation;
5 set as reference.