Table 3.
Survival analysis of OS by various cell count values at different times using Cox regression.
| ALC * | Hazard Ratio (HR) | 95% CI for HR | p-Value |
|---|---|---|---|
|
Model 1: prior cycle 2 (n = 65) ALC ≥ 800 |
1.49 | 0.51, 4.31 | 0.468 |
|
Model 2: pre-surgery, all patients (n = 60) ALC ≥ 800 |
1.81 | 0.80, 4.10 | 0.156 |
|
Model 3: pre-surgery with all 4 cycles (n = 54) ALC ≥ 800 |
1.67 | 0.70, 3.98 | 0.251 |
|
Model 4: prior cycle 1 (n = 69) ALC (unit = 100 count increase) |
0.96 | 0.89, 1.04 | 0.342 |
|
Model 5: prior cycle 2 (n = 65) ALC (unit = 100 count increase) |
1.04 | 1.00, 1.08 | 0.050 |
|
Model 6: pre-surgery, all patients (n = 60) ALC (unit = 100 count increase) |
1.07 | 0.98, 1.17 | 0.129 |
|
Model 7: pre-surgery with all 4 cycles (n = 54) ALC (unit = 100 count increase) |
1.02 | 0.91, 1.14 | 0.757 |
| ANC/ALC * | Hazard Ratio (HR) | 95% CI for HR | p-Value |
|
Model 1: prior cycle 1 (n = 69) ANC/ALC ≥ 2 |
6.27 | na | 0.039 † |
|
Model 2: prior cycle 1 (n = 69) ANC/ALC ≥ 5 |
2.08 | 0.95, 4.57 | 0.069 |
|
Model 3: prior cycle 2 (n = 65) ANC/ALC ≥ 5 |
1.15 | 0.53, 2.50 | 0.733 |
|
Model 4: pre-surgery, all patients (n = 60) ANC/ALC ≥ 5 |
1.77 | 0.81, 3,88 | 0.155 |
|
Model 5: pre-surgery with all 4 cycles (n = 54) ANC/ALC ≥ 5 |
1.59 | 0.69, 3.69 | 0.278 |
|
Model 6: prior cycle 1 (n = 69) ANC/ALC ratio |
1.09 | 0.99, 1.22 | 0.095 |
|
Model 7: prior cycle 2 (n = 65) ANC/ALC ratio |
0.95 | 0.84, 1.08 | 0.412 |
|
Model 8: pre-surgery, all patients (n = 60) ANC/ALC ratio |
1.02 | 0.94, 1.10 | 0.671 |
|
Model 9: pre-surgery with all 4 cycles (n = 54) ANC/ALC ratio |
1.05 | 0.95, 1.16 | 0.387 |
| AMC | Hazard Ratio (HR) | 95% CI for HR | p-Value |
|
Model 1: prior cycle 1 (n = 69) AMC (unit = 100 count increase) |
1.09 | 0.98, 1.20 | 0.105 |
|
Model 2: prior cycle 2 (n = 64) AMC (unit = 100 count increase) |
1.21 | 1.07, 1.37 | 0.003 |
|
Model 3: pre-surgery, all patients (n = 61) AMC (unit = 100 count increase) |
1.11 | 0.98, 1.26 | 0.098 |
|
Model 4: pre-surgery with all 4 cycles (n = 54) AMC (unit = 100 count increase) |
1.03 | 0.88, 1.20 | 0.726 |
| LMR = ALC/AMC * | Hazard Ratio (HR) | 95% CI for HR | p-Value |
|
Model 1: prior cycle 1 (n = 69) LMR ≥ 2.4 |
0.50 | 0.24, 1.03 | 0.062 |
|
Model 2: prior cycle 1 (n = 69) LMR continuous |
0.74 | 0.52, 1.06 | 0.105 |
|
Model 3: prior cycle 2 (n = 64) LMR continuous |
1.12 | 0.70, 1.79 | 0.641 |
|
Model 4: pre-surgery, all patients (n = 60) LMR continuous |
1.02 | 0.56, 1,83 | 0.960 |
|
Model 5: pre-surgery with all 4 cycles (n = 54) LMR continuous |
1.08 | 0.57, 2.03 | 0.823 |
| PLR = platelets/ALC * | Hazard Ratio (HR) | 95% CI for HR | p-Value |
|
Model 1: prior cycle 1 (n = 69) PLR ≥ 135 |
1.36 | 0.48, 3.92 | 0.564 |
|
Model 2: prior cycle 1 (n = 69) PLR ≥ 200 |
1.07 | 0.51, 2.23 | 0.867 |
|
Model 3: prior cycle 2 (n = 64) PLR ≥ 200 |
0.91 | 0.31, 2.65 | 0.861 |
|
Model 4: pre-surgery, all patients (n = 60) PLR ≥ 200 |
0.91 | 0.34, 2.43 | 0.849 |
|
Model 5: pre-surgery with all 4 cycles (n = 54) PLR ≥ 200 |
0.73 | 0.27, 2.00 | 0.545 |
|
Model 6: prior cycle 1 (n = 69) PLR continuous (unit = 100 count increase) |
1.02 | 0.72, 1.46 | 0.898 |
|
Model 7: prior cycle 2 (n = 64) PLR continuous (unit = 100 count increase) |
0.84 | 0.65, 1.09 | 0.185 |
|
Model 8: pre-surgery, all patients (n = 60) PLR continuous (unit = 100 count increase) |
0.87 | 0.70, 1.08 | 0.211 |
|
Model 9: pre-surgery with all 4 cycles (n = 54) PLR continuous (unit = 100 count increase) |
0.89 | 0.69, 1.16 | 0.381 |
* There were too few patients with cell counts below the cutoff value for all ALC ≥ 500, and ALC ≥ 800 pre-treatment, and too few cases with cell counts below the cutoff for ANC/ALC ≥ 2 prior to cycle 2 and pre-surgery to perform a reliable statistical analysis. There are too few cases with LMR values above the cutoff for LMR ≥ 2.4 prior to cycle 2 and pre-surgery, and too few patients with PLR values below the cutoff for PLR ≥ 135 prior to cycle 2 and pre-surgery to perform a reliable statistical analysis. † The p-value is based on the log-rank test from the Kaplan-Meier method for estimating survival.