Table 3.
Recurrence in Training and Test Set Cases with Low, Moderate, and High Prognostic Indices
| Training sets
|
Test sets
|
|||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| All ER/PR+ (N = 58)
|
All ER/PR− (N = 13)
|
All ER/PR+ (N = 67)
|
All ER/PR− (N = 35)
|
|||||||||
| Low PI | Mod PI | High PI | Low PI | Mod PI | High PI | Low PI | Mod PI | High PI | Low PI | Mod PI | High PI | |
| No recurrence | 17 | 16 | 7 | 4 | 3 | 2 | 20 | 14 | 13 | 10 | 8 | 5 |
| Recurrence | 2 | 3 | 13 | 0 | 1 | 3 | 2 | 5 | 13 | 1 | 4 | 7 |
|
|
ER/PR+ N0 (N = 31)
|
ER/PR− N0 (N = 5)
|
ER/PR+ N0 (N = 39)
|
ER/PR− N0 (N = 20)
|
||||||||
| Low PI | Mod PI | High PI | Low PI | Mod PI | High PI | Low PI | Mod PI | High PI | Low PI | Mod PI | High PI | |
| No recurrence | 11 | 12 | 5 | 1 | 2 | 0 | 15 | 11 | 6 | 8 | 6 | 4 |
| Recurrence | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 2 | 4 | 0 | 1 | 1 |
The study population, divided according to ER/PR status, was further divided into training and test sets for ER/PR+ and ER/PR− cases. The PI algorithms, identified using training set data, were used to calculate the PI on both the training and test patients, and each case was assigned to a predicted risk category. The numbers of recurrent and nonrecurrent cases in each risk category are shown. Risk category assignments and actual outcome data are summarized for the node negative subsets of the training and test sets in the lower portion of the table.