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Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude and G. L. Prasad October 26, 2018 CORESTA Congress Kunming, China 2018_ST59_PrasadGL(Newland).pdf Congress2018 - Document not peer-reviewed by CORESTA

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Page 1: Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude ... · Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude and G. L. Prasad October 26, 2018 CORESTA Congress Kunming,

Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude and G. L. Prasad

October 26, 2018

CORESTA Congress

Kunming, China

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Page 2: Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude ... · Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude and G. L. Prasad October 26, 2018 CORESTA Congress Kunming,

Outline of the Presentation

• Background

• Selection of Total 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL)

• Study Plan Design

• Participating Laboratories

• Summary of Performance

• Quality Control Samples

• NIST Standard

• Multi-lot Samples from Smoker and Non-smoker subjects

• Conclusion

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Page 3: Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude ... · Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude and G. L. Prasad October 26, 2018 CORESTA Congress Kunming,

Background• NNAL (4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol) is a major

metabolite of the tobacco-specific nitrosamine NNK

(4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone)

• NNK is a known lung carcinogen (IARC Group 1 carcinogen) and is

designated as a Harmful and Potentially Harmful Constituent by the US FDA

• Measurement of NNAL is a widely accepted biomarker of exposure to NNK

• NNAL is also considered as a carcinogen

• NNAL is enzymatically conjugated as a glucuronide and excreted in urine

• Urinary levels of total NNAL (free + glucuronidated NNAL) are widely used

as a biomarker of exposure to cigarettes and smokeless tobacco products

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Page 4: Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude ... · Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude and G. L. Prasad October 26, 2018 CORESTA Congress Kunming,

N

OO

HO

OH

OH

COOH

NN

O

HO

N

NO

N

O

OH

HO

HOHOOC

N

OH

N

NO

NNAL

NNAL-O-Glucuronide NNAL-N-Glucuronide

Quantitation of the “Total” Excretion of NNAL in Human

Urine as a Measure of NNK exposure

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Page 5: Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude ... · Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude and G. L. Prasad October 26, 2018 CORESTA Congress Kunming,

Inter-laboratory Testing Study Plan Design

• Shared Quality Controls at 3

concentrations

• 15.0 pg/mL (n=6)

• 70.0 pg/mL (n=6)

• 750 pg/mL (n=6)

• Individual Lots of Smoker Urine

from 9 Volunteers (n=3)

• NIST (SRM 3672) Smoker

Urine Standard (n=3)

• Control Blank Matrix (n=3)

• 1 Set of Imbedded Standards

• 9 Standard Concentrations

• Range: 5.00 to 1000 pg/mL

• NNAL reference material used

by the organizing lab was

synthesized and characterized by

Aptochem Synthèse.

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Page 6: Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude ... · Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude and G. L. Prasad October 26, 2018 CORESTA Congress Kunming,

Inter-laboratory Participating Laboratories

• 9 Laboratories initially

included

• 5 Laboratories discontinued

• Issues with sample shipment to

some locations

• Issues with assay performance at

the lab

• 4 Laboratories provided final

results

• Celerion, Inc – Nebraska,

USA

• ABF GmbH – Munich,

Germany

• SEITA – Fleur les Aubrais,

France

• Univ. of Minnesota –

Minnesota, USA

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Page 7: Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude ... · Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude and G. L. Prasad October 26, 2018 CORESTA Congress Kunming,

Participating Laboratories

• 9 Laboratories initially included

• 5 Laboratories discontinued

• Issues with sample shipment to some locations

• Issues with assay performance at the lab

• 4 Laboratories provided final results

• Celerion (USA), coordinating lab

• ABF GmbH (Germany)

• University of Minnesota Cancer Center (USA)

• SEITA (France)

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Page 8: Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude ... · Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude and G. L. Prasad October 26, 2018 CORESTA Congress Kunming,

Summary of Performance – Quality Controls

• Analytical results were provided as concentrations in pg/mL

(quantitation with each laboratory’s standard set).

• The laboratories also provided the analyte and internal standard

area counts to allow quantitation with the imbedded standards.

• Analysis of the Quality Control sample data gives a clear

evaluation of the sample processing recovery, and detection

selectivity.

• The hydrolysis was performed on the samples however no

conjugated analytes were present in the samples.

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Inter-laboratory Comparison Summary Data – Total NNAL

Lab A Lab B Lab C Lab D

12

13

14

15

16

17

18

19

20

21

Ran

ge

QC A Statistics (15.0 pg/mL)

Lab A Lab B Lab C Lab D

45

50

55

60

65

70

75

80

85

90

95

100

105

Ran

ge

QC B Statistics (70.0 pg/mL)

Lab A Lab B Lab C Lab D

600

700

800

900

1000

1100

Ran

ge

QC C Statistics (750 pg/mL)

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QC Sample Data – Independent Standards

Quality Control A (15.0 pg/mL)

Laboratory A B C D

Rep 1 18.2 19.8 13.7 18.3

Rep 2 18.9 17.7 14.5 18.2

Rep 3 18.1 19.4 14.4 19.8

Rep 4 18.5 18.0 15.7 16.1

Rep 5 16.5 18.9 14.6 19.2

Rep 6 16.0 19.2 15.3 18.2

Mean 17.7 18.8 14.7 18.3

S.D. 1.2 0.8 0.7 1.3

% C.V. 6.6% 4.3% 4.8% 6.9%

% R.E. 21.3% 25.3% -2.0 22.0%

n 6 6 6 6

Quality Control B (70.0 pg/mL)

Laboratory A B C D

Rep 1 75.9 70.2 68.3 91.4

Rep 2 74.9 72.6 67.8 97.9

Rep 3 75.3 71.2 69.9 97.5

Rep 4 74.8 73.0 70.0 99.3

Rep 5 73.5 82.9 68.7 87.7

Rep 6 74.5 77.8 70.9 90.7

Mean 74.8 74.6 69.3 94.1

S.D. 0.8 4.8 1.2 4.8

% C.V. 1.1% 6.5% 1.7% 5.0%

% R.E. 6.9% 6.6% -1.0% 34.4%

n 6 6 6 6

Quality Control C (750 pg/mL)

Laboratory A B C D

Rep 1 836 751 731 982

Rep 2 826 730 715 1060

Rep 3 813 770 752 959

Rep 4 805 664 769 936

Rep 5 823 769 759 990

Rep 6 831 783 745 933

Mean 822 745 745 977

S.D. 12 43 20 47

% C.V. 1.4% 5.8% 2.6% 4.8%

% R.E. 9.6% -0.7% -0.1% 30.3%

n 6 6 6 6

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QC Sample Data – Independent Standards

Quality Control A (15.0 pg/mL)

Laboratory A B C D

Rep 1 18.2 19.8 13.7 18.3

Rep 2 18.9 17.7 14.5 18.2

Rep 3 18.1 19.4 14.4 19.8

Rep 4 18.5 18.0 15.7 16.1

Rep 5 16.5 18.9 14.6 19.2

Rep 6 16.0 19.2 15.3 18.2

Mean 17.7 18.8 14.7 18.3

S.D. 1.2 0.8 0.7 1.3

% C.V. 6.6% 4.3% 4.8% 6.9%

% R.E. 21.3% 25.3% -2.0 22.0%

n 6 6 6 6

Quality Control B (70.0 pg/mL)

Laboratory A B C D

Rep 1 75.9 70.2 68.3 91.4

Rep 2 74.9 72.6 67.8 97.9

Rep 3 75.3 71.2 69.9 97.5

Rep 4 74.8 73.0 70.0 99.3

Rep 5 73.5 82.9 68.7 87.7

Rep 6 74.5 77.8 70.9 90.7

Mean 74.8 74.6 69.3 94.1

S.D. 0.8 4.8 1.2 4.8

% C.V. 1.1% 6.5% 1.7% 5.0%

% R.E. 6.9% 6.6% -1.0% 34.4%

n 6 6 6 6

Quality Control C (750 pg/mL)

Laboratory A B C D

Rep 1 836 751 731 982

Rep 2 826 730 715 1060

Rep 3 813 770 752 959

Rep 4 805 664 769 936

Rep 5 823 769 759 990

Rep 6 831 783 745 933

Mean 822 745 745 977

S.D. 12 43 20 47

% C.V. 1.4% 5.8% 2.6% 4.8%

% R.E. 9.6% -0.7% -0.1% 30.3%

n 6 6 6 6

A B C D21.3% 25.3% -2.0% 22.0%

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QC Sample Data – Independent Standards

Quality Control A (15.0 pg/mL)

Laboratory A B C D

Rep 1 18.2 19.8 13.7 18.3

Rep 2 18.9 17.7 14.5 18.2

Rep 3 18.1 19.4 14.4 19.8

Rep 4 18.5 18.0 15.7 16.1

Rep 5 16.5 18.9 14.6 19.2

Rep 6 16.0 19.2 15.3 18.2

Mean 17.7 18.8 14.7 18.3

S.D. 1.2 0.8 0.7 1.3

% C.V. 6.6% 4.3% 4.8% 6.9%

% R.E. 21.3% 25.3% -2.0 22.0%

n 6 6 6 6

Quality Control B (70.0 pg/mL)

Laboratory A B C D

Rep 1 75.9 70.2 68.3 91.4

Rep 2 74.9 72.6 67.8 97.9

Rep 3 75.3 71.2 69.9 97.5

Rep 4 74.8 73.0 70.0 99.3

Rep 5 73.5 82.9 68.7 87.7

Rep 6 74.5 77.8 70.9 90.7

Mean 74.8 74.6 69.3 94.1

S.D. 0.8 4.8 1.2 4.8

% C.V. 1.1% 6.5% 1.7% 5.0%

% R.E. 6.9% 6.6% -1.0% 34.4%

n 6 6 6 6

Quality Control C (750 pg/mL)

Laboratory A B C D

Rep 1 836 751 731 982

Rep 2 826 730 715 1060

Rep 3 813 770 752 959

Rep 4 805 664 769 936

Rep 5 823 769 759 990

Rep 6 831 783 745 933

Mean 822 745 745 977

S.D. 12 43 20 47

% C.V. 1.4% 5.8% 2.6% 4.8%

% R.E. 9.6% -0.7% -0.1% 30.3%

n 6 6 6 6

A B C D21.3% 25.3% -2.0% 22.0%

A B C D6.9% 6.6% -1.0% 34.4%

A B C D9.6% -0.7% -0.1% 30.3%

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Inter-laboratory Comparison Summary Data – Total NNAL

Lab A Lab B Lab C Lab D

10

11

12

13

14

15

16

17

18

19

20

Range

QC A Statistics (15.0 pg/mL) Shared Stds

Lab A Lab B Lab C Lab D

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70

80

90

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nge

QC B Statistics (70.0 pg/mL) Shared Stds

Lab A Lab B Lab C Lab D

450

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550

600

650

700

750

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850

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950

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1050

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QC C Statistics (750 pg/mL) Shared Stds

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QC Sample Data – Embedded Standards

Quality Control A (15.0 pg/mL)

Laboratory A B C D

Rep 1 16.6 17.0 13.7 13.5

Rep 2 17.2 15.0 14.5 15.8

Rep 3 16.5 16.7 14.4 15.1

Rep 4 16.9 15.3 15.7 15.1

Rep 5 15.1 16.1 14.6 15.1

Rep 6 14.7 16.4 15.3 16.2

Mean 16.2 16.1 14.7 15.1

S.D. 1.0 0.8 0.7 0.9

% C.V. 6.3% 4.9% 4.8% 6.1%

% R.E. 8.0% 7.3% -2.0% 0.7%

n 6 6 6 6

Quality Control B (70.0 pg/mL)

Laboratory A B C D

Rep 1 69.0 64.5 68.3 76.0

Rep 2 68.1 66.7 67.8 67.5

Rep 3 68.5 65.4 69.9 69.9

Rep 4 68.0 64.5 70.0 69.8

Rep 5 66.8 66.7 68.7 75.3

Rep 6 67.7 65.4 70.9 74.4

Mean 68.0 65.5 69.3 72.2

S.D. 0.7 1.0 1.2 3.5

% C.V. 1.1% 1.5% 1.7% 4.9%

% R.E. -2.9% -6.4% -1.0% 3.1%

n 6 6 6 6

Quality Control C (750 pg/mL)

Laboratory A B C D

Rep 1 759 706 731 707

Rep 2 750 686 715 741

Rep 3 738 770 752 705

Rep 4 731 664 769 743

Rep 5 747 769 759 800

Rep 6 754 783 745 720

Mean 747 730 745 736

S.D. 10.4 50.6 19.6 35.3

% C.V. 1.4% 6.9% 2.6% 4.8%

% R.E. -0.4% -2.7% -0.6% -1.9%

n 6 6 6 6

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QC Sample Data – Embedded Standards

Quality Control A (15.0 pg/mL)

Laboratory A B C D

Rep 1 16.6 17.0 13.7 13.5

Rep 2 17.2 15.0 14.5 15.8

Rep 3 16.5 16.7 14.4 15.1

Rep 4 16.9 15.3 15.7 15.1

Rep 5 15.1 16.1 14.6 15.1

Rep 6 14.7 16.4 15.3 16.2

Mean 16.2 16.1 14.7 15.1

S.D. 1.0 0.8 0.7 0.9

% C.V. 6.3% 4.9% 4.8% 6.1%

% R.E. 8.0% 7.3% -2.0% 0.7%

n 6 6 6 6

Quality Control B (70.0 pg/mL)

Laboratory A B C D

Rep 1 69.0 64.5 68.3 76.0

Rep 2 68.1 66.7 67.8 67.5

Rep 3 68.5 65.4 69.9 69.9

Rep 4 68.0 64.5 70.0 69.8

Rep 5 66.8 66.7 68.7 75.3

Rep 6 67.7 65.4 70.9 74.4

Mean 68.0 65.5 69.3 72.2

S.D. 0.7 1.0 1.2 3.5

% C.V. 1.1% 1.5% 1.7% 4.9%

% R.E. -2.9% -6.4% -1.0% 3.1%

n 6 6 6 6

Quality Control C (750 pg/mL)

Laboratory A B C D

Rep 1 759 706 731 707

Rep 2 750 686 715 741

Rep 3 738 770 752 705

Rep 4 731 664 769 743

Rep 5 747 769 759 800

Rep 6 754 783 745 720

Mean 747 730 745 736

S.D. 10.4 50.6 19.6 35.3

% C.V. 1.4% 6.9% 2.6% 4.8%

% R.E. -0.4% -2.7% -0.6% -1.9%

n 6 6 6 6

A B C D

-2.9% -6.4% -1.0% 3.1%

A B C D

-0.4% -2.7% -0.6% 1.9%

A B C D

8.0% 7.3% -2.0% 0.7%

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Comparison of Algycone Only QCs

• With QCs prepared with aglycone only the impact of

differential hydrolysis is removed.

• A bias between laboratories is observed when each laboratory

uses it’s own source of reference material to prepare standard

calibrators (~20% R.E.)

• When a single set of calibrators is used by all laboratories this

bias is significantly reduced (-6 to 8% R.E.)

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Summary of Performance – Smoker Urine Lots

• Smoker lots will have present unconjugated NNAL and the N-and O-glucuronides of NNAL.

• An enzymatic hydrolysis is typically performed so that a total NNAL concentration may be measured

• As there is no known concentration for the lots of urine only a comparative analysis may be performed.

• The urine lots were classified for comparison purposes

• low concentration (10 to 45 pg/mL)

• mid concentration (90 to 300 pg/mL)

• high concentration (400 to 600 pg/mL)

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Inter-laboratory Comparison Summary Data – Total NNAL

Lab A Lab B Lab C Lab D Lab A Lab B Lab C Lab D

10

20

30

40

50R

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geLot 1 Lot 2

Low Level Smoker Urine Lots (pg/mL)

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Inter-laboratory Comparison Summary Data – Total NNAL

Lab A Lab B Lab C Lab D Lab A Lab B Lab C Lab D

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50R

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Inter-laboratory Comparison Summary Data – Total NNAL

Lab A Lab B Lab C Lab D Lab A Lab B Lab C Lab D

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Inter-laboratory Comparison Summary Data – Total NNAL

Lab A Lab B Lab C Lab D Lab A Lab B Lab C Lab D

10

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30

40

50R

angeLot 1 Lot 2

Low Level Smoker Urine Lots (pg/mL)

2018

_ST

59_P

rasa

dGL(

New

land

).pd

fC

ongr

ess2

018

- D

ocum

ent n

ot p

eer-

revi

ewed

by

CO

RE

ST

A

Page 22: Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude ... · Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude and G. L. Prasad October 26, 2018 CORESTA Congress Kunming,

Inter-laboratory Comparison Summary Data – Total NNAL

Lab A Lab B Lab C Lab D Lab A Lab B Lab C Lab D

10

20

30

40

50R

ange

Low Level Smoker Urine Lots (pg/mL)

Lot 1 Lot 2

52% difference36% difference

2018

_ST

59_P

rasa

dGL(

New

land

).pd

fC

ongr

ess2

018

- D

ocum

ent n

ot p

eer-

revi

ewed

by

CO

RE

ST

A

Page 23: Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude ... · Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude and G. L. Prasad October 26, 2018 CORESTA Congress Kunming,

Inter-laboratory Comparison Summary Data – Total NNAL

A B C D A B C D A B C D A B C D A B C D

0

50

100

150

200

250

300

350

400

450

Ran

ge

Mid Level Smoker Urine Lots (pg/mL)

Lot 3 Lot 4 Lot 5 Lot 6 Lot 9

2018

_ST

59_P

rasa

dGL(

New

land

).pd

fC

ongr

ess2

018

- D

ocum

ent n

ot p

eer-

revi

ewed

by

CO

RE

ST

A

Page 24: Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude ... · Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude and G. L. Prasad October 26, 2018 CORESTA Congress Kunming,

Inter-laboratory Comparison Summary Data – Total NNAL

A B C D A B C D A B C D A B C D A B C D

0

50

100

150

200

250

300

350

400

450

Ran

ge

Mid Level Smoker Urine Lots (pg/mL)

Lot 3 Lot 4 Lot 5 Lot 6 Lot 9

2018

_ST

59_P

rasa

dGL(

New

land

).pd

fC

ongr

ess2

018

- D

ocum

ent n

ot p

eer-

revi

ewed

by

CO

RE

ST

A

Page 25: Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude ... · Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude and G. L. Prasad October 26, 2018 CORESTA Congress Kunming,

Inter-laboratory Comparison Summary Data – Total NNAL

A B C D A B C D A B C D A B C D A B C D

0

50

100

150

200

250

300

350

400

450

Ran

ge

Mid level Smoker Urine Lots (pg/mL)

Lot 3 Lot 4 Lot 5 Lot 6 Lot 9

31% 46% 42%

38% 40%

2018

_ST

59_P

rasa

dGL(

New

land

).pd

fC

ongr

ess2

018

- D

ocum

ent n

ot p

eer-

revi

ewed

by

CO

RE

ST

A

Page 26: Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude ... · Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude and G. L. Prasad October 26, 2018 CORESTA Congress Kunming,

Inter-laboratory Comparison Summary Data – Total NNAL

A B C D A B C D

200

300

400

500

600

700

800

900

1000

Ra

nge

High Level Smoker Urine Lots (pg/mL)

Lot 7 Lot 8

2018

_ST

59_P

rasa

dGL(

New

land

).pd

fC

ongr

ess2

018

- D

ocum

ent n

ot p

eer-

revi

ewed

by

CO

RE

ST

A

Page 27: Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude ... · Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude and G. L. Prasad October 26, 2018 CORESTA Congress Kunming,

Inter-laboratory Comparison Summary Data – Total NNAL

A B C D A B C D

200

300

400

500

600

700

800

900

1000

Ra

nge

High Level Smoker Urine Lots (pg/mL)

Lot 7 Lot 8

39% difference

46% difference

2018

_ST

59_P

rasa

dGL(

New

land

).pd

fC

ongr

ess2

018

- D

ocum

ent n

ot p

eer-

revi

ewed

by

CO

RE

ST

A

Page 28: Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude ... · Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude and G. L. Prasad October 26, 2018 CORESTA Congress Kunming,

Inter-laboratory Comparison Summary Data – Total NNAL

A B C D A B C D

10

15

20

25

30

35

40

Ran

ge

Low Level Smoker Lots (pg/mL) Shared Stds

Lot 1 Lot 2

2018

_ST

59_P

rasa

dGL(

New

land

).pd

fC

ongr

ess2

018

- D

ocum

ent n

ot p

eer-

revi

ewed

by

CO

RE

ST

A

Page 29: Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude ... · Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude and G. L. Prasad October 26, 2018 CORESTA Congress Kunming,

Inter-laboratory Comparison Summary Data – Total NNAL

A B C D A B C D

10

15

20

25

30

35

40

Ran

ge

Low Level Smoker Lots (pg/mL) Shared Stds

32% difference12% difference

2018

_ST

59_P

rasa

dGL(

New

land

).pd

fC

ongr

ess2

018

- D

ocum

ent n

ot p

eer-

revi

ewed

by

CO

RE

ST

A

Page 30: Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude ... · Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude and G. L. Prasad October 26, 2018 CORESTA Congress Kunming,

Inter-laboratory Comparison Summary Data – Total NNAL

A B C D A B C D A B C D A B C D A B C D

50

100

150

200

250

300R

ange

Lot 9Lot 6Lot 5Lot 3 Lot 4

Mid Level Smoker Lots (pg/mL) Shared Stds 2018

_ST

59_P

rasa

dGL(

New

land

).pd

fC

ongr

ess2

018

- D

ocum

ent n

ot p

eer-

revi

ewed

by

CO

RE

ST

A

Page 31: Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude ... · Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude and G. L. Prasad October 26, 2018 CORESTA Congress Kunming,

Inter-laboratory Comparison Summary Data – Total NNAL

A B C D A B C D A B C D A B C D A B C D

50

100

150

200

250

300R

ange

Mid Level Smoker Lots (pg/mL) Shared Stds

15% 7%

6% 11%

8%

2018

_ST

59_P

rasa

dGL(

New

land

).pd

fC

ongr

ess2

018

- D

ocum

ent n

ot p

eer-

revi

ewed

by

CO

RE

ST

A

Page 32: Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude ... · Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude and G. L. Prasad October 26, 2018 CORESTA Congress Kunming,

Inter-laboratory Comparison Summary Data – Total NNAL

A B C D A B C D

300

400

500

600

700R

ange

High Level Smoker Lots (pg/mL) Shared Stds

Lot 7 Lot 8

2018

_ST

59_P

rasa

dGL(

New

land

).pd

fC

ongr

ess2

018

- D

ocum

ent n

ot p

eer-

revi

ewed

by

CO

RE

ST

A

Page 33: Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude ... · Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude and G. L. Prasad October 26, 2018 CORESTA Congress Kunming,

Inter-laboratory Comparison Summary Data – Total NNAL

A B C D A B C D

300

400

500

600

700R

ange

High Level Smoker Lots (pg/mL) Shared Stds

Lot 7 Lot 8

18% difference

13% difference

2018

_ST

59_P

rasa

dGL(

New

land

).pd

fC

ongr

ess2

018

- D

ocum

ent n

ot p

eer-

revi

ewed

by

CO

RE

ST

A

Page 34: Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude ... · Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude and G. L. Prasad October 26, 2018 CORESTA Congress Kunming,

Inter-laboratory Comparison Summary Data – Total NNAL

A B C D A B C D

140

160

180

200

220

240

260

280

300

320

Ran

ge

NIST Urine Standard (pg/mL)

Separate Stds Imbedded Stds

2018

_ST

59_P

rasa

dGL(

New

land

).pd

fC

ongr

ess2

018

- D

ocum

ent n

ot p

eer-

revi

ewed

by

CO

RE

ST

A

Page 35: Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude ... · Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude and G. L. Prasad October 26, 2018 CORESTA Congress Kunming,

Inter-laboratory Comparison Summary Data – Total NNAL

A B C D A B C D

140

160

180

200

220

240

260

280

300

320

Ran

ge

NIST Urine Standard (pg/mL)

Separate Stds Imbedded Stds

39% difference

24% difference

2018

_ST

59_P

rasa

dGL(

New

land

).pd

fC

ongr

ess2

018

- D

ocum

ent n

ot p

eer-

revi

ewed

by

CO

RE

ST

A

Page 36: Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude ... · Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude and G. L. Prasad October 26, 2018 CORESTA Congress Kunming,

16 35 90 110 120 270 280 390 600

Lab Stds 17 12 11 16 14 15 12 16 13

Embedded Stds 10 4 5 6 4 4 3 7 4

0

5

10

15

20

25

30

Co

effi

cien

t of

Vari

an

ce

Variance of Measurements

2018

_ST

59_P

rasa

dGL(

New

land

).pd

fC

ongr

ess2

018

- D

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ent n

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revi

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A

Page 37: Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude ... · Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude and G. L. Prasad October 26, 2018 CORESTA Congress Kunming,

Conclusion

• The assays employed by the participating laboratories provide consistent results within standard bioanalytical acceptance when a single source of reference material is used

• Increased bias was observed when standard calibrators prepared at each laboratory were used for quantitation

• It is important to use a well characterized single source of reference standard for comparison of bioanalytical results in inter-laboratory studies.

• BMK-SG has published a guideline for the proper characterization of reference materials.

➢CORESTA Guide N° 20 – Biomarker studies – Requirements for the Certification of Analytical Reference Standards

2018

_ST

59_P

rasa

dGL(

New

land

).pd

fC

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018

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Page 38: Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude ... · Kirk Newland, Max Scherer, Stephen Hecht, Valerie Troude and G. L. Prasad October 26, 2018 CORESTA Congress Kunming,

Special thanks to contributors

• Aptochem Synthèse• Francois Deschamps

• ABF GmbH• Max Scherer

• Nikola Pluym

• Philip Morris International• Mark Bentley

• British American Tobacco• Krishna Prasad

• Reynolds American Inc.• Eckhardt Schmidt

• G. L. Prasad

• University of Minnesota• Steve Carmella

Study Sponsors

• Altria Client Services

• British American Tobacco

• Imperial Tobacco

• Japan Tobacco

• Philip Morris International

• RAI Services Company

2018

_ST

59_P

rasa

dGL(

New

land

).pd

fC

ongr

ess2

018

- D

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ent n

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revi

ewed

by

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ST

A