C Mike Perkins MD Pfizer Global Research & Development

1. The link between non-clinical and clinical testing ~ are non-clinical tests predictive of clinical effects? C Mike Perkins MD Pfizer Global Research & Development 31-3753

2. Outline • Based on standard agents with known effects on QT and arrhythmia • Principal target - HERG/IKr • Safety margins • Are all HERG blockers the same? • repolarisation assays • in vivo evaluations • Proarrhythmia • Pharmacokinetics and drug-drug interactions • Integrated risk assessment

3. QTc in Man

4. QTc in Man (2)

5. 120 100 80 60 40 20 0 0.01 0.1 1 10 100 1000 10000 Effects on HERG in HEK293 Cells E-4031 Cisapride Terfenadine Terodiline Verapamil Percentage Change Concentration (nM)

6. Dofetilide

7. Therapeutic Window and TdP Webster, Leishman & Walker (2002) Towards a drug concentration effect relationship for QT prolongation and torsades de pointes. Current Opinion in Drug Discovery & Development

8. H1 Antagonists

9. HERG – Predictive Value

10. Effect in Canine Purkinje Fibre

11. 40 E-4031 Cisapride 20 0 0.01 0.1 1 10 100 1000 10000 Anesthetized Dog - MAPD 150bpm Terfenadine Terodiline Verapamil Percentage Change Plasma Concentration (Unbound; nM)

12. AV Blocked Dog

13. Effect in Repolarization and Proarrhythmia Model

14. Correlation Between Models - Cisapride

15. Correlation Between Models - Terodiline

16. Correlation Between Models - Terfenadine

17. Weight of Evidence – Predictive Value

18. Relative HERG inhibitory potency Webster, Leishman & Walker (2002) Towards a drug concentration effect relationship for QT prolongation and torsades de pointes. Current Opinion in Drug Discovery & Development

19. Therapeutic Window and TdP Webster, Leishman & Walker (2002) Towards a drug concentration effect relationship for QT prolongation and torsades de pointes. Current Opinion in Drug Discovery & Development

20. ABPI Data set • Literature search on 95 drugs • HERG/IKr data • Action potential data • In vivo QT data • Free plasma drug levels following therapeutic use

21. ABPI Data set Compounds were categorised as: 1 Class III antiarrhythmics 2 Withdrawn from market for QT or Torsade de Pointes 3 Strong evidence for Torsade de Pointes 4 Clinical evidence is weak or absent

22. HERG Selectivity of 5-fold attrition 32% 68% Y Compounds in groups 1-3? 95% 5% N Y N Missed opportunities Selectivity for human exposure vs HERG >5-fold

23. HERG Selectivity of 10-fold 20% 80% Y Compounds in groups 1-3? N Y N 5% 95%

24. HERG Selectivity of 30-fold 12% 88% Y Compounds in groups 1-3? N Y N 10% 90%

25. HERG Selectivity of 100-fold 92% 8% Y Compounds in groups 1-3? N Y N 40% 60%

26. HERG Selectivity of 1000-fold 4% 96% Compounds in groups 1-3? 15% 85%

27. Conclusions • HERG/IKr data alone is a remarkably good predictor of QT risk • Smaller the TI the higher the risk • Power of non-clinical studies are greatly increased with native tissue and in vivo data • Verapamil would be a true negative • What is an appropriate TI? • Small TI (5-fold) identifies 68% ‘clinical actives’, but 32% false negatives and only 5% false positive • High TI (1000-fold) identifies 96% ‘clinical actives’, only 4% false negatives, but 85% false positive

28. Importance of PK on selectivity Threshold for IKr (90 nM) Cmax vs.IKr selectivity 2 or 15-fold 1o pharmacology 2nM

29. Impact of drug interactions Cyp 3A4 inhibitor increases t1/2 resulting in drug accumulation. Pharmacological selectivity is eroded further. Threshold for IKr 1o pharmacology

30. Summary & Conclusions (1) • Drugs associated with arrhythmia can give large concentration dependent changes in QTc • Correlation exists between HERG potency and plasma concentrations associated with QT prolongation and TdP • Therapeutic ratio can be determined and appears to correlate with the prevalence of cardiac arrhythmias

31. Summary & Conclusions (2) • Not all HERG blockers are the same • Other ion channel effects can be important • Additional effects may modulate risk of arrhythmia • Plasma concentrations obviously are important • Need to appreciate the impact of variability in plasma concentrations • Drug-drug interactions can be very important as these influence safety margins

32. Summary & Conclusions (3) • Non-clinical assays can guide clinical QT studies by predicting the concentrations and circumstances under which QT prolongation and arrhythmia might occur, thus highlighting particular questions to be addressed.

33. Acknowledgements Pfizer QT advisory council Derek Leishman Rob Wallis Reference: Redfern, Carlsson, Davis et al Relationships between preclinical cardiac electrophysiology, clinical QT interval prolongation and Torsade de Pointes for a broad range of drugs: evidence for a provisional safety margin in drug development Cardiovascular research 58(2003) 32-45

34. ICH The Sixth International Conference on Harmonisation of Technical Requirements for Registration of Pharmaceuticals for Human Use New Horizons and Future Challenges Osaka International Convention Center, Osaka, Japan November 12-15 2003

35. Thank you