Table 2

Clinical outcomes of patients in validation cohort treated with ipilimumab/nivolumab are evaluated by different gene signatures and by immune checkpoint status

VariableCategorynComparisonORROSPFS
ORCI lowCI highHRCI lowCI highHRCI lowCI high
Five gene panel
(FOXP3, CCR4, KLRK1, ITK, TIGIT)
High23High vs not high1.350.424.381.500.583.890.960.511.83
Not high39
Cell proliferationHigh3High vs poor1.670.1224.156.360.9542.844.551.1118.76
Moderate15Moderate vs poor1.260.344.642.901.057.991.490.723.08
Poor44High vs moderate1.320.0821.212.200.3613.273.050.7412.60
TIGS (immunogenicity)Strong27Strong vs weak0.530.132.160.990.273.651.300.612.78
Moderate19Moderate vs weak0.430.092.043.280.9011.961.270.552.97
Weak16Strong vs moderate1.210.314.730.300.100.921.020.482.15
IMDC risk groupFavorable15Favorable vs poor0.360.052.700.120.020.680.540.191.51
Intermediate40Intermediate vs poor0.540.083.510.430.131.430.760.311.91
Poor7Favorable vs intermediate0.670.172.590.270.061.280.700.321.52
PD-L1 (IHC)High21High vs not high1.310.424.151.570.633.890.790.421.50
Not high41
PD-L1 (RNA)High13High vs not high1.070.254.542.050.656.450.790.331.89
Not high49
CTLA4 (RNA)High13High vs not high2.530.6310.160.860.262.800.660.311.43
Not high49
TMB (high=upper 20%)High13High vs not high0.970.224.281.010.283.621.390.653.00
Not high49
Entire validation cohort62
  • Logistic regression objective response rate OR and Cox models for overall survival HR, and progression free survival HR for individual variables are shown. Logistic regression and Cox models a adjusted for sex, stage at diagnosis, ECOG (Eastern Cooperative Oncology Group) performance status at ipilimumab/nivolumab treatment, and time from diagnosis to ipilimumab/nivolumab of greater or less than 1 year.

  • CTLA-4, cytotoxic T-lymphocytes-associated protein 4; IHC, immunohistochemistry; IMDC, International Metastatic RCC Database Consortium; PD-L1, programmed death-ligand 1; TIGS, tumor immunogenic signature; TMB, tumor mutational burden.