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Table 3 Clinical utility comparison of IHC TPS and RNA-seq rank results

From: Next generation sequencing of PD-L1 for predicting response to immune checkpoint inhibitors

Prediction Method

Sensitivity

Specificity

PPV

NPV

Melanoma IHC ≥1%

31.3%

81.8%

55.6%

62.1%

Melanoma RNA-seq > 75

25.0%

93.2%

72.7%

63.1%

Melanoma IHC ≥1% & RNA-seq > 75

20.8%

94.6%

71.4%

64.8%

NSCLC IHC ≥1%

58.8%

60.6%

26.3%

71.4%

NSCLC IHC ≥50%

47.1%

84.5%

42.1%

87.0%

NSCLC RNA-seq > 75

58.8%

64.8%

28.6%

86.8%

NSCLC IHC ≥1% & RNA-seq > 75

63.6%

68.0%

30.4%

89.5%

NSCLC IHC ≥50% & RNA-seq > 75

46.2%

83.9%

37.5%

88.1%

RCC IHC ≥1%

28.6%

92.1%

40.0%

87.5%

RCC RNA-seq > 75

42.9%

84.2%

33.3%

88.9%

RCC IHC ≥1% & RNA-seq > 75

33.3%

93.9%

50.0%

88.6%

  1. Sensitivity = TP/(TP + FN)
  2. Specificity = TN/(TN + FP)
  3. Positive predictive value (PPV) = TP/(TP + FP)
  4. Negative predictive value (NPV) = TN/(TN + FN)