Table 2 Outcomes of binary logistic regression models of 15 different 2-biomarker combinations showing the odds ratio (OR) and the corresponding p-values of each biomarker when the other in the combination is controlled. A comparison of the area under the curve (AUC) and the corresponding p-values generated from the Receiver Operating Characteristic (ROC) curves for each of the 11 statistically significant 2-biomarker combinations is also shown. The OR here signifies the odds of belonging to the ‘primary lung tumour’ group of the ‘tumour origin’ outcome

#

Markers

OR

p-value

ROC AUC

p-value

1

CK7

1.6162 × 10¹

< 0.001

0.877

< 0.001

Napsin-A

1.5424 × 10¹

0.001

2

CK7

6.8660

0.005

0.893

< 0.001

TTF1

2.6690 × 10¹

< 0.001

3

CK7

8.4970

0.012

0.848

< 0.001

CK20

3.5000 × 10⁻²

< 0.001

4

CK7

3.0468 × 10⁸

0.996

CDX2

2.7351 × 10⁻¹⁰

0.996

5

CK7

1.8114 × 10¹

< 0.001

0.883

< 0.001

SATB2

7.9000 × 10^− 2

0.001

6

Napsin-A

3.7190

0.133

TTF1

6.1509 × 10⁸

0.996

7

Napsin-A

9.2810

0.016

0.785

< 0.001

CK20

5.1000 × 10⁻²

0.006

8

Napsin-A

1.6645 × 10¹

0.030

0.978

< 0.001

CDX2

4.0000 × 10⁻³

< 0.001

9

Napsin-A

2.5106 × 10¹

0.001

0.943

< 0.001

SATB2

2.3000 × 10^− 2

< 0.001

10

TTF1

3.5732 × 10¹

0.002

0.935

< 0.001

CK20

1.7000 × 10^− 2

< 0.001

11

TTF1

2.3587 × 10¹

0.015

0.983

< 0.001

CDX2

3.0000 × 10^− 3

< 0.001

12

TTF1

3.7699 × 10¹

< 0.001

0.912

< 0.001

SATB2

3.4000 × 10⁻²

< 0.001

13

CK20

2.3810 × 10⁻¹

0.268

CDX2

3.5179 × 10^− 10

0.996

14

CK20

7.0000 × 10⁻³

< 0.001

0.883

< 0.001

SATB2

6.4000 × 10⁻²

0.004

15

CDX2

2.0760 × 10⁻¹⁰

0.996

SATB2

4.6710 × 10⁻⁹

0.996