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Joseph Kim, PhD, RPh Director Clinical Pharmacology Modeling & Simulation

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Use of Pharmacokinetics Modeling & Simulation in the Drug Development : From Discovery to Development. Joseph Kim, PhD, RPh Director Clinical Pharmacology Modeling & Simulation GSK, R&D, Research Triangle Park. 12–15 years in development - PowerPoint PPT Presentation
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Use of Pharmacokinetics Modeling & Simulation in the Drug Development: From Discovery to Development Joseph Kim, PhD, RPh Director Clinical Pharmacology Modeling & Simulation GSK, R&D, Research Triangle Park
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Page 1: Joseph Kim, PhD, RPh Director Clinical Pharmacology Modeling & Simulation

Use of Pharmacokinetics Modeling & Simulation in the Drug Development:

From Discovery to Development

Joseph Kim, PhD, RPhDirector

Clinical Pharmacology Modeling & SimulationGSK, R&D, Research Triangle Park

Page 2: Joseph Kim, PhD, RPh Director Clinical Pharmacology Modeling & Simulation

High risk R&D investment

12–15 yearsin development

One out of5,000 to 10,000

compounds makesit to patients

>$1 billionper drug

7 out of 10 drugsdon’t cover average

R&D costs0 2 4 6 8 10 12 14 16 0 2 4 6 8 10 12 14 16

Discovery (2–10 years)Discovery (2–10 years)

Pre-clinical TestingPre-clinical Testing

Phase IPhase I

YearsYears

Agency Review / Agency Review / ApprovalApproval

Phase IIPhase II

Phase IIIPhase III

Page 3: Joseph Kim, PhD, RPh Director Clinical Pharmacology Modeling & Simulation

Discovery FTiH

Drug development process is finding answers to many questions

Approval Trials

POC Dose

SelectionPLE

What is the optimal patient

population?

Do we cease development?

Do we need a new formulation?

What is the 1st indication?

Can we get the optimal dose from

the POC trial?

What’s the probability of

Phase III success?

How do we beat the competition?

Interactions?

Biomarker α Endpoint?

Dose schedule?

Combination Product?

Slide from Jeff Wald, GSK

Effective in animal model?

Safe in animal model?

Page 4: Joseph Kim, PhD, RPh Director Clinical Pharmacology Modeling & Simulation

4 Dis

covery

PHASE 1

PHASE 2

PHASE 3

NDA

MARKET

PRECLINIC

AL

DEVELOPMENT IND

KN

OW

LE

DG

E

(Cer

tain

ty)

0

1

EFFICACY SAFETY- FREQUENT

SAFETY- RARE

At any point in development, there is a need to be able to evaluate whether the realized or anticipated benefits outweigh the potential risks

Bob Powell, ISPOR 2008

Evolution of benefits and risks:Challenges and opportunities

Page 5: Joseph Kim, PhD, RPh Director Clinical Pharmacology Modeling & Simulation

Clinical Pharmacology: Study of drug in humans*

– Pharmacokinetics– Pharmacodynamics– Drug Metabolism and Transport– Optimizing and Evaluating Patient Therapy– Drug Discovery and Development

*Principles of Clinical Pharmacology, 2nd Ed. Arthur Adkison et al.

Page 6: Joseph Kim, PhD, RPh Director Clinical Pharmacology Modeling & Simulation

What is Pharmacokinetics

• What does the body do to drugs– Absorption– Distribution– Metabolism– Elimination

[Dru

g]

Time

Biom

arke

r

[Drug]

Toxicity

Pharmacodynamics: What does the drug do to the body

Page 7: Joseph Kim, PhD, RPh Director Clinical Pharmacology Modeling & Simulation

PK Use in Drug Development• Discovery (pre-clinical)• Phase I – First Time in Human study (FTiH)• Phase I – Non- FTiH study • Phase II – Proof of Concept, Proof of

Mechanism, Dose Finding study• Phase III – Pivotal studies• Phase IV – Post approval commitment,

PLE(Product Line Extension), Country specific registrations

Page 8: Joseph Kim, PhD, RPh Director Clinical Pharmacology Modeling & Simulation

PK Use in Drug Development

• Discovery (pre-clinical)– Allometric scaling> Modeling & Simulation– Predict AUC, Cmax, target dose– Suggest dose strength– Compare human exposure to animal toxicity

(NOAEL- No Observed Adverse Effect Level)

Page 9: Joseph Kim, PhD, RPh Director Clinical Pharmacology Modeling & Simulation

Case #1: Use of Modeling & Simulation with Animal toxicokinetic study

Single dose rat study – no toxicity but some unusual TK profile

Repeat dose rat study initiated – animal dies with 1500mg/kg dose after 3-4 days

Single dose study TK profile reviewed and re-evaluated using modeling & simulation

Page 10: Joseph Kim, PhD, RPh Director Clinical Pharmacology Modeling & Simulation

Case #1– Rat Single Dose Data

Plasma Profi les in Rats Given a Single Oral Dose of GSK570570B in HPMC/ Tween

0

2000

4000

6000

8000

10000

12000

0 5 10 15 20 25 30 35 40 45 50

Time (hr )

100 mg/kg

1100 mg/kg

1500 mg/kg

Page 11: Joseph Kim, PhD, RPh Director Clinical Pharmacology Modeling & Simulation

Snapshot of 300 mg/kg Dose for SD and Repeat Dose

Plasma Profile of GSK570570A in Rats of R41472 at 300 mg/kg on Days 1 or 7

0

2000

4000

6000

8000

10000

12000

14000

16000

0 5 10 15 20

Time (hr)

Co

nc.

(n

g/m

l)

Day 1

Day 7• Significant accumulation, 4 fold increase in AUClast• Elimination phase has not begun at 24 hrs. on neither day 1 or day 7

Page 12: Joseph Kim, PhD, RPh Director Clinical Pharmacology Modeling & Simulation

Nonparametric superposition prediction – 1500mg QD, assuming t1/2 is 24 hrs starting 48hr after single dose

500

1000

1500

2000

2500

3000

0 5 10 15 20 25

time

analyte=GSK448960B, dose=100

25000

26000

27000

28000

29000

30000

31000

0 5 10 15 20 25

time

analyte=GSK448960B, dose=1100

24000

25000

26000

27000

28000

29000

30000

0 5 10 15 20 25

time

analyte=GSK448960B, dose=1600

1000

1500

2000

2500

3000

0 5 10 15 20 25

time

analyte=GSK570570B, dose=100

21000

21500

22000

22500

23000

0 5 10 15 20 25

time

analyte=GSK570570B, dose=1100

19500

20000

20500

21000

21500

22000

0 5 10 15 20 25

time

analyte=GSK570570B, dose=1500

Page 13: Joseph Kim, PhD, RPh Director Clinical Pharmacology Modeling & Simulation

PK Use in Drug Development

• Phase I – First Time in Human study (FTiH)– Single Dose Study>> Dose escalation– Repeat Dose Study>> Dose escalation– PK data analysis and Modeling & Simulation– Predict AUC, Cmax, target dose– Compare human exposure to animal toxicity

(NOAEL- No Observed Adverse Effect Level) or biological activity (MABEL – Minimum Anticipated Biological Effect Level)

Page 14: Joseph Kim, PhD, RPh Director Clinical Pharmacology Modeling & Simulation

PK Use in Drug Development

• Phase I – After FTiH– Formulation study– Food effect study– Drug Interaction study (perpetrator vs victim) – Renal impairment study– Hepatic impairment study– QTc study– Others (pediatric, elderly population)– Compare human exposure to animal toxicity (NOAEL- No

Observed Adverse Effect Level)

Page 15: Joseph Kim, PhD, RPh Director Clinical Pharmacology Modeling & Simulation

PK Use in Drug Development• Phase II – Proof of Concept, Proof of Mechanism, Dose

Finding study– Modeling & Simulation– Predict target site concentration and needed dose– Use protein binding, receptor occupancy etc.– Suggest dose and regimen for Phase III– Prepare EoP2a meeting with regulatory agency– Predict probability of success with given dose and variability– Compare human exposure to animal toxicity (NOAEL- No

Observed Adverse Effect Level)

Page 16: Joseph Kim, PhD, RPh Director Clinical Pharmacology Modeling & Simulation

16

(Dose mg)

0 250 500 750 1000

HbA

1c w

k 1

2 %

ch

ang

e f

rom

ba

selin

e

-40

-30

-20

-10

0

10

20

30

40

HbA1c Doses (mg)

Placebo 50 100 250 500 1000

Actual data Median

-0.3 -1.1 -1.1 -1.0 -1.1 -1.1

-3.5

-3.0

-2.5

-2.0

-1.5

-1.0

-0.5

0.0

0.5

1.0

1.5

0 5000 10000 15000 20000 25000

AUC

0

50

100

250

500

1000

Case #2Phase IIa (POC): Confirming Biologic Activity

Dose-Response Exposure-Response

Some numbers were modified for confidentiality

Page 17: Joseph Kim, PhD, RPh Director Clinical Pharmacology Modeling & Simulation

PK Use in Drug Development

• Phase III – Pivotal studies– Population PK and Modeling & Simulation– Adaptive Design– Ethnopharmacology– Pharmacogenetics– Regulatory filings

Page 18: Joseph Kim, PhD, RPh Director Clinical Pharmacology Modeling & Simulation

Forging the Framework for Biostatistics & Programming ExpertiseForging the Framework for Biostatistics & Programming Expertise

Update the model

StoppingRule

AllocationRule

New Patient

Randomisation

3

Data

1

24

5

6

Continue Stop

Go

STOPfor Futility

STOPfor Efficacy

Patient is randomised in blinded fashion to:

placebo (25%), high dose (25%)

or “optimal” dose (50%)[5, 15, 30, 60, 120, 180]mg

delete these guides from slide master before printing or giving to the client

delete these guides from slide master before printing or giving to the client

7

Logistic Regression Model

Res

po

nse

Rat

e

Dose

ED50

Continual Reassessment Method chooses the “optimal” dose

that will optimise learning about the ED50

Case #3Phase II/III: Adaptive Design Dose Selection

, Slide from Alun Bedding

Page 19: Joseph Kim, PhD, RPh Director Clinical Pharmacology Modeling & Simulation

PK Use in Drug Development

• Phase IV – Post approval commitment, PLE, and Country specific registrations– Population PK and Modeling & Simulation– Bioequivalence study– Foreign country registration– Regulatory filings

Page 20: Joseph Kim, PhD, RPh Director Clinical Pharmacology Modeling & Simulation

20

A model-based continuum provides a quantitative framework for the expected…and unexpected questions

Lalonde, et al., Clinical Pharmacology and Therapeutics, July 2007

LB Sheiner, Clinical Pharmacology and Therapeutics, March 1997

Page 21: Joseph Kim, PhD, RPh Director Clinical Pharmacology Modeling & Simulation

21

Summary

• Drug Development is very high-risk business with big uncertainty and variability

• Public and FDA ask more efficient way of Drug Development

• PK/PD modeling and simulation can answer many questions in every stage of Drug Development

• Model-based drug development/adaptive design approaches are powerful tools to improve clinical drug development, regulatory guidance and the quality of NDA submissions

• USA FDA is aware and willing to accept innovations in New Drug Development Processes

• Choosing the right dose is extremely important

Page 22: Joseph Kim, PhD, RPh Director Clinical Pharmacology Modeling & Simulation

22

Acknowledgements and References

• GSK R&D Colleagues-- Jeff Wald, Patrick Ryan, Alun Bedding

• Bob Powell (formerly at FDA)


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