Background
Methods
Patient cohorts
Blood samples and gene expression profiling
Regression formula for the prediction index that represents response to remission induction therapy
Prediction of response to remission induction therapy
Discrimination analysis
Results
Determination of regression formula for the prediction index that represents response to remission induction therapy
Coefficient | Standard error |
P value | |
---|---|---|---|
Intercept | 0.84 | 0.16 | 0.004 |
IRF7
| 0.74 | 0.17 | 0.008 |
IFIT1
| –0.32 | 0.09 | 0.015 |
IFIT5
| –1.43 | 0.21 | 0.001 |
OASL
| –0.18 | 0.16 | 0.301 |
CLC
| 0.05 | 0.02 | 0.037 |
GBP1
| –0.84 | 0.20 | 0.009 |
PSMB9
| 0.38 | 0.35 | 0.321 |
HERC5
| 0.37 | 0.10 | 0.013 |
CCR1
| –0.91 | 0.26 | 0.012 |
CD36
| –0.84 | 0.26 | 0.024 |
MS4A4A
| 0.43 | 0.21 | 0.099 |
BIRC4BP
| 0.93 | 0.09 | 0.000 |
PLSCR1
| 0.72 | 0.27 | 0.047 |
DEFA/DEFA3
| 0.01 | 0.01 | 0.367 |
DEFA4
| –0.02 | 0.02 | 0.311 |
COL9A2
| –0.06 | 0.02 | 0.015 |
Relevance of regression formula and boundary value for the prediction of response to remission induction therapy
Accuracy of prediction of response to remission induction therapy
Prediction | Actual response | |
---|---|---|
Poor | Good | |
Poor | 6 | 1 |
Good | 1 | 31 |
Mild form | Severe form | Most severe form | Total | |||||
---|---|---|---|---|---|---|---|---|
(n = 17) | (n = 18) | (n = 4) | (n = 39) | |||||
Actual response | Poor | Good | Poor | Good | Poor | Good | Poor | Good |
Prediction | ||||||||
Poor | 3 | 0 | 2 | 1 | 1 | 0 | 6 | 1 |
Good | 0 | 14 | 0 | 15 | 1 | 2 | 1 | 31 |
Accuracy (%) | 100 | 94.4 | 75.0 | 94.9 |