Table 2.

SD ≥ 6 months/PR/CR rates and PFS comparisons

Percent of patients with SD ≥6 months/PR/CRa
UnivariableMultivariable
ParametersPercentageWaldPWaldP
Matched7.780.0055.410.020
 Yes (n = 87)34.5%
 No (n = 93)16.1%
Breast3.280.0700.6430.423
 Yes (n = 60)33.3%
 No (n = 120)20.8%
Brain0.2170.642N/AN/A
 Yes (n = 15)20%
 No (n = 165)25.5%
Gastrointestinal0.1060.744N/AN/A
 Yes (n = 35)23%
 No (n = 145)25.5%
Genitourinary0.0690.793N/AN/A
 Yes (n = 22)23%
 No (n = 158)25.3%
Head and neck1.380.241N/AN/A
 Yes (n = 16)12.5%
 No (n = 164)26.2%
Lung0.3630.547N/AN/A
 Yes (n = 16)31%
 No (n = 164)24.4%
Skin/melanoma0.2870.592N/AN/A
 Yes (n = 11)18%
 No (n = 169)25.4%
Metastasis at time of biopsy0.3710.542N/AN/A
 Yes (n = 138)26%
 No (n = 42)21%
Therapy was 1st line0.8200.365N/AN/A
 Yes (n = 43)30%
 No (n = 137)23.4%
Single agent (n = 95)24%0.0670.796N/AN/A
Combination (n = 85)26%
PFS (PFS2)b
UnivariableMultivariable
ParametersMedian (months, 95%CI)χ2PWaldP
Matched3.650.0562.350.039
 Yes (n = 87)4.0 (3.1–4.9)
 No (n = 93)3.0 (2.5–3.5)
Breast2.200.138NANA
 Yes (n = 60)4.0 (3.2–4.8)
 No (n = 120)3.0 (2.4–3.8)
Brain0.0010.982NANA
 Yes (n = 15)4.0 (3.1–4.9)
 No (n = 165)3.4 (2.9–3.9)
Gastrointestinal1.060.304NANA
 Yes (n = 35)2.8 (2.2–3.4)
 No (n = 145)3.6 (3.0–4.2)
Genitourinary0.020.893NANA
 Yes (n = 22)3.4 (2.5–4.3)
 No (n = 158)3.4 (2.9–3.9)
Head and neck0.830.363NANA
 Yes (n = 16)2.2 (0.9–3.5)
 No (n = 164)3.6 (3.2–4.0)
Lung0.070.791NANA
 Yes (n = 16)3.0 (0.0–7.7)
 No (n = 164)3.4 (3.0–3.8)
Skin/melanoma0.260.610NANA
 Yes (n = 11)7.7 (1.6–13.8)
 No (n = 169)3.4 (3.0–3.8)
Metastasis at time of biopsy0.020.897NANA
 Yes (n = 138)3.4 (3.0–3.9)
 No (n = 42)4.0 (3.0–5.0)
Therapy was 1st line2.30.1273.00.083
 Yes (n = 43)4.5 (3.7–5.3)
 No (n = 137)3.0 (2.5–3.5)
Single agent (n = 95)4.0 (3.3–4.7)0.6480.421NANA
Combination (n = 85)3.4 (2.8–4.0)
  • aP values were computed using binary logistic regression analysis (univariable and multivariable); variables with P < 0.1 in univariable analysis were included in the multivariable model. The P value was 0.012 for “matched vs. unmatched” with the inverse propensity score weighting method. When the propensity score was added as a covariate (propensity adjustment), P = 0.017. The Wald test is a way of testing the significance of variables in a statistical model; the higher the Wald, the higher the association in the model.

  • bP values were computed using the Kaplan–Meier method (log-rank test for univariable and Cox regression for multivariate analysis); variables with P < 0.2 in univariable analysis were included in the Cox regression model (multivariable, backward conditional method). The χ2 and Wald values test the significance of variables in the statistical model; the higher the χ2 or Wald, the higher the association in the model. When the propensity score was added as a covariate with “matched vs. not,” the P value for “matched vs. not” was 0.140.