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Table 4 Summary of fitted regression slopes for BOEs shown in increasing order of p value

From: Estimating lung cancer risk from e-cigarettes and heated tobacco products: applications of a tool based on biomarkers of exposure and of potential harm

Search number (see Table 1)

Biomarker name

N1

Fitted slope

Std.Error

t2

p

Signif3

2 (16)4

CYMA

9

0.55

0.03

18.99

0.0000

0.0287

12

3-OH-Flu

7

1.08

0.06

16.93

0.0000

0.0008 + + 

16

MHBMA

6

1.43

0.08

18.24

0.0000

0.0000 + + + 

17

2-naphthol

8

1.89

0.15

12.73

0.0000

0.0000 + + + 

26

o-Tol

6

1.8

0.08

21.77

0.0000

0.0000 + + + 

1

AAMA

7

2.82

0.29

9.83

0.0001

0.012

8

DHBMA

4

6.36

0.24

26.88

0.0001

0.0014 + + 

12

2-OH-Flu

6

1.4

0.11

12.73

0.0001

0.0000 + + + 

16

3-HPMA

6

1.3

0.11

11.54

0.0001

0.0093

17

2-AN

6

0.99

0.09

10.93

0.0001

0.0000 + + + 

23

1-OH-Phe

6

4.73

0.5

9.38

0.0002

0.0000 + + + 

1

GAMA

4

3.4

0.18

19.11

0.0003

0.2193

17

1-naphthol

9

1.15

0.19

6.03

0.0003

0.0000 + + + 

16

S-PMA

4

1.56

0.09

18.25

0.0004

0.0002 –-

4

NAB

8

0.84

0.15

5.77

0.0007

0.1396

2

HEMA

4

2.14

0.17

12.77

0.001

0.1813

23

3-OH-Phe

4

3.49

0.28

12.67

0.0011

0.0000 + + + 

23

2/3-OH-Phe

4

2.71

0.26

10.53

0.0018

0.4838

5

NAT

8

0.61

0.13

4.8

0.002

0.1686

23

4-OH-Phe

4

3.34

0.34

9.86

0.0022

0.0889

23

2-OH-Phe

4

4.56

0.48

9.48

0.0025

0.0000 + + + 

26

Toluene

2

2.14

0.02

93.2

0.0068

0.3521

1

Acrylamide Hb adducts

2

2.78

0.05

54.85

0.0116

0.3837

16

HMPMA

2

1.65

0.05

34.27

0.0186

0.1726

1

Glycidamide Hb adducts

2

3.42

0.11

30.58

0.0208

0.3677

1

GAMA2

2

3.44

0.18

19.28

0.033

0.2132

28

m/p-xylene

2

5.21

0.31

17.03

0.0373

0.2474

6

Ethylbenzene

2

3.68

0.25

14.54

0.0437

0.3239

8

MHBMA3

2

1.29

0.09

13.8

0.0461

0.4798

15

IPMA3

2

1.01

0.07

13.48

0.0472

0.4827

23

9-OH-Phe

2

1.32

0.1

13.24

0.048

0.1723

25

Styrene

2

2.94

0.25

11.67

0.0544

0.2545

6

Benzene

2

1.65

0.15

11.19

0.0568

0.0477

28

MHA34

2

1.59

0.15

10.94

0.058

0.48

11

AMCA

2

1.56

0.14

10.87

0.0584

0.475

28

MHA2

2

1.57

0.16

9.83

0.0646

0.4857

23

1/9-OH-Phe

2

1.6

0.17

9.16

0.0692

0.1888

21

NNK

2

 − 1.17

0.14

 − 8.5

0.0745

0.0000 + + + 

25

MADA

2

3.03

0.37

8.29

0.0765

0.4795

12

2/3/9-OH-Flu

2

1.14

0.15

7.65

0.0827

0.1088

16

2-HPMA

2

2.9

0.39

7.38

0.0858

0.4737

2

CYHA

2

0.95

0.13

7.32

0.0864

0.496

25

PGA

2

3.83

0.54

7.08

0.0893

0.4821

24

3-OH-Bap

2

1.69

0.24

7.05

0.0897

0.2348

13

PeDCF

2

 − 10.98

1.67

 − 6.58

0.0961

0.2846

12

9-OH-Flu

2

4.07

0.92

4.42

0.1417

0.4885

13

HxCDF

2

 − 18

4.88

 − 3.69

0.1684

0.2049

4

Anabasine

13

0.39

0.3

1.33

0.2098

0.0308

9

TTCA

2

23.46

14.96

1.57

0.3614

0.1437

3

3-ABP

6

0.24

0.34

0.7

0.5136

0.0066

5

Anatabine

13

0.19

0.31

0.62

0.5493

0.0243

6

PMAC

4

1.12

1.77

0.63

0.5726

0.0000 + + + 

20

NNAL

21

0.11

0.24

0.45

0.6574

0.0000 + + + 

13

HpCDF

2

 − 8.79

15.94

 − 0.55

0.6792

0.0000 + + + 

26

BMA

2

7.94

17.52

0.45

0.729

0.0827

20

HPB

2

 − 0.55

1.76

 − 0.32

0.8055

0.035

  1. Underlined biomarkers are those used in the predictions showing no significant (p < 0.01) misfit to the RR for non-users
  2. 1Number of paired means for cigarettes and other products on which the estimate is based
  3. 2Student t-value for slope
  4. 3Greatest significance for non-users (+ + + , –- p < 0.001, + + , – p < 0.01)
  5. 4Seven paired means were identified for CYMA under search number 2 and two were identified for CEMA under search number 16. As CYMA and CEMA are alternative abbreviations for the same chemical, the results have been combined as CYMA for the purposes of estimating the slope and standard error