Frequencies of gains associated with inferior survival in Cox regression analysis (1-sided test for the negative effect of gains on survival)
| Gains . | No transformation (n = 17), n (%) . | Transformation (n = 27), n (%) . |
|---|---|---|
| 2p24.1ptel | 0 | 4 (15) |
| 3q | 0 | 5 (19)* |
| 5p | 0 | 5 (19) |
| 5q23qtel | 0 | 6 (22)* |
| 12q12q14.1 | 3 (18) | 8 (29)* |
| 12q22qtel | 1 (6) | 3 (11) |
| X† | 6 (60) | 14 (70) |
| Gains . | No transformation (n = 17), n (%) . | Transformation (n = 27), n (%) . |
|---|---|---|
| 2p24.1ptel | 0 | 4 (15) |
| 3q | 0 | 5 (19)* |
| 5p | 0 | 5 (19) |
| 5q23qtel | 0 | 6 (22)* |
| 12q12q14.1 | 3 (18) | 8 (29)* |
| 12q22qtel | 1 (6) | 3 (11) |
| X† | 6 (60) | 14 (70) |
The strongest predictor for unfavorable outcome was gain of the X chromosome in male samples (P < .01). The correlation of copy number alterations with survival was calculated with the log2 ratios of the multi–piecewise constant fits segments.
In 2 of the cases the regions of gain were not overlapping.
A total of 10 males had no transformation, and a total of 20 males had transformation.