Table 3.
Univariable and multivariable binary logistic regression model for the prediction of early tumor progression during FOLFIRINOX.
| Variable | Univariable | Multivariable | ||
|---|---|---|---|---|
| OR for progressive disease(95% CI) | P | OR for progressive disease(95% CI) | P | |
| IL-1RA after 1 cycle of FOLFIRINOX | ||||
|
<median
>median |
Ref 0.19 (0.06-0.63) |
0.007a |
Ref 0.25 (0.07-0.94) |
0.040a |
| IL-18 before start of FOLFIRINOX | ||||
|
<median
>median |
Ref 2.62 (0.88-7.74) |
0.083 |
Ref 2.08 (0.63-6.92) |
0.231 |
| IL-18 increase during 1 cycle of FOLFIRINOX | ||||
|
≤50%
>50% |
Ref 0.33 (0.11-0.94) |
0.038a |
Ref 0.66 (0.119-2.27) |
0.506 |
| MIP-1β increase during 1 cycle of FOLFIRINOX | ||||
|
No
Yes |
Ref 0.37 (0.13-1.08) |
0.069 |
Ref 0.73 (0.21-2.48) |
0.729 |
CI, confidence interval; IL, interleukin; IL-1RA, interleukin-1 receptor antagonist; MIP, macrophage inflammatory protein; OR, odds ratio; Ref, reference. aSignificant P-value.