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Table 1 Outcomes of 6 different univariate binary logistic regression models for CK7, Napsin-A, TTF1, CK20, CDX2, and SATB2 showing the odds ratio (OR) and corresponding p-values where the OR signifies the odds of belonging to the ‘primary lung tumour’ group of the ‘tumour origin’ outcome.. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of each biomarker when considered individually are also shown in relation to the detection of primary pulmonary carcinoma in the case of CK7, Napsin-A, and TTF-1 compared to primary gastrointestinal carcinoma for CK20, CDX2, and SATB2

From: Identification of the most specific markers to differentiate primary pulmonary carcinoma from metastatic gastrointestinal carcinoma to the lung

#

Marker

OR

p-value

Sensitivity

Specificity

PPV

NPV

1

CK7

19.425

< 0.001

93.3%

58.3%

91.7%

63.6%

2

Napsin-A

30.083

< 0.001

76.0%

90.5%

97.9%

38.8%

3

TTF1

54.327

< 0.001

81.3%

92.6%

98.3%

49.0%

4

CK20

0.029

< 0.001

57.1%

96.3%

66.7%

94.6%

5

CDX2

0.003

< 0.001

94.1%

96.2%

80.0%

99.0%

6

SATB2

0.033

< 0.001

75.0%

90.9%

62.5%

94.7%