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© ChanTest Corp. 2014 How ChanTest Does CiPA: a Paradigm Shift for Cardiac Safety 4 th ChanTest User Meeting May 9, 2014 Arthur “Buzz” Brown, MD, PhD Founder, President & CEO, ChanTest Corporation Adjunct Professor Physiology & Biophysics, CWRU School of Medicine Cleveland, OH

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© ChanTest Corp. 2014

How ChanTest Does CiPA: a Paradigm Shift for Cardiac Safety

4th ChanTest User Meeting May 9, 2014Arthur “Buzz” Brown, MD, PhD

Founder, President & CEO, ChanTest CorporationAdjunct Professor Physiology & Biophysics, CWRU School of Medicine

Cleveland, OH

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© ChanTest Corp. 2014

Overview

• Present paradigm: S7B & E14 Guidances

• Problems

• Future guidance: the Comprehensive in vitro

Proarrhythmia Assay (CiPA)

2

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Non-Cardiac Drugs and the hERG/TdP “Epidemic”

It’s all about HERG!!

Drug Class Date Withdrawn

Terodiline Uninary Incontinence 1991

Sparfloxacin Antibiotic 1996

Terfenadine Antihistamine 1998

Astemizole Antihistamine 1999

Grepafloxacin Antibiotic 1999

Cisapride Prokinetic 2000

Droperidol Tranquilizer 2001

Levomethadyl Opiate Dependence 2003

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Seldane, Poster Drug for TdP &SCD from Non-Cardiac Drugs

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Normal sinus rhythm (hr= 66 bpm)

Torsades de Pointes

Courtesy of Dr. A. J. Moss

Roy, M.-L. Dumaine,R & Brown, A.M, Circulation 1996;94:817-823

Terfenadine(Seldane)

• No preclinical signal; no effects on APD or in vivoQT

• 5 cases TdP/million pt-mo; f ~ 10-6; undetectable in clinical trials; human QTc surrogate

• At 60 mg b.i.d., QTcincreased 6 msec (~2%)

• Brown lab shows hERG to be molecular target for terfenadine risk

Terfenadine Fexofenadine

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Vulnerable Period of a Cardiac Cycle

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Adapted from Hoekstra et al, Front Physiol, 2012.

Reentry ModelD

Modeling Cardiac Arrhythmias; Ion Channels,Cardiac Tissue, Whole Heart & Whole Humans

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Essential Elements of Guidances

• Nonclinical S7B 2005: hERG, APD, ECG/QT; threshold values variable

• Clinical E14 2005: TQT, placebo & pos.ctrl, PK/PD, expensive, upper bound of 95% CI for ∆∆QTC >10 ms biased to sensitivity vs specificity

• CiPA: shift from delayed repolarization to proarrhythmogenicity; replace TQT 07/15/15, revise S7B 07/16/16

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Present Discordances: HERG Signal, Delayed Repolarization & Arrhythmias

- HERG9/118 (8%)False Neg

80/118 (68%)Concordant

+ HERG9/118 (8%)Concordant

19/118 (16%)False Pos

+ Impaired Repol(APD/QT)

- Impaired Repol- (APD/QT)

It’s NOT all about HERG!e.g., pentobarbital, verapamil, tolterodine, ranolazine, vanoxerine

Drugs Affect Multiple Ion Channels: MICE Hypothesis

B. HERG and Delayed Repolarization (ChanTest)

Odds ratio 2/3 at best between hERG signal and Ventricular Arrhythmias, DeBruin et al, 2005

A. Arrhythmias

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Results of Present Guidances

• No withdrawals for QT-related arrhythmias since S7B & E14

• NDA submission of QT prolongers has been reduced

BUT• Nonclinical signal levels are uncertain e.g., safety margins of hERG, APD & QT assays

• Clinical TQT strongly weighted to sensitivity vs specificity e.g., upper bound 95% CI ∆∆’s 10 ms

• FDA dataset of 34 TQT studies showed 95% approval at 10-20 ms ↑ & 83% at > 20 ms

• Regulators approve drugs with QT liability where benefits outweigh risks

• TQT more honored in the breach than the observance

• Significant liabilities from cardiac safety studies

– TQT costs

– Delays in development

– Labeling restrictions

– Negative impacts on physician’s prescribing preferences

• E14 and S7B restrict selection of lead candidates, eliminate potentially useful drugs and reduce patient benefit

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ChanTest Considerations

S7B & E14 unsatisfactory because:1. +HERG ≠ +DR⃰ ( ~ 30% nonclinical discordances)2. +QTc ≠ +TdP ( millions of clinical discordances) 3. +HERG ≠ +TdP (qed; DeBruin et al, 2005)4. - HERG ≠ - TdP

Why not: MICE vs HERG alone?Proarrhythmogenicity vs ↑ QTc?

DR ⃰ = Delayed Repolarization (↑QTc or APD90)

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Manual & Automated Patch Clamp Assays: HERG Example

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Conduct of Gold Standard hERG Safety Assay

Comparison of hERG IC50s Among Manual & Automated Patch Clamp Platforms

(Kirsch et al. (2004) J PTM)

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Predicting TdP at ChanTest: HERG vs MICE

From Kramer et al. Nat Sci Rep. (2013) 3, doi:10.1038/srep02100.

IC50s of 55 Drugs Included in Dataset for hERG, Cav1.2 & Nav1.5 Effects

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MICE SaVeTy Curves as TdP Predictors

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From Kramer et al. Nat Sci Rep. (2013) 3, doi:10.1038/srep02100.

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© ChanTest Corp. 2014

-4 -3 -2 -1 0 1 2 3 4

0.0

0.2

0.4

0.6

0.8

1.0

0.0

0.2

0.4

0.6

0.8

1.0

P(+

TdP

)

Frac

tion

of +

TdP

per d

ecad

elog(hERG IC50/ Cav IC50)

-5 -4 -3 -2 -1 0 1 2

0.0

0.2

0.4

0.6

0.8

1.0

0.0

0.2

0.4

0.6

0.8

1.0

P(+

TdP

)

Frac

tion

of +

TdP

per d

ecad

e

-log(hERG IC50/ETPC)

Model 1 Model 5

MICE Model Beats HERG Model as TdP Predictor

Adapted from Kramer et al. Nat Sci Rep. (2013) 3, doi:10.1038/srep02100.

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MICE: Superior TdP Predictor

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Adapted from Kramer et al. Nat Sci Rep. (2013) 3, doi:10.1038/srep02100.

0.0 0.2 0.4 0.6 0.8 1.00.0

0.2

0.4

0.6

0.8

1.0

Model 1 Model 5

Sen

sitiv

ity

1-Specificity

Model 5 wins Victory by ROC curve

Incorrectlyclassified

26 15Correctlyclassified

1 4 6 8

-TdP +TdP-TdP +TdP

31 19

0.0

0.2

0.4

0.6

0.8

1.0Model 5

0.0

0.2

0.4

0.6

0.8

1.0

Tors

adog

enic

risk

Model 1

-TdP +TdP -TdP +TdP

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MICE vs HERG Assays

• The in vitro hERG assay has ~ 70% accuracy for predicting TdP

• Type 1 errors are most frequent but Type 2 errors occur

• We proposed a Multiple Ion Channel Effects (MICE) assay as a better predictor

• We measured concentration-responses of hERG, hNav1.5 and hCav1.2 to 32 torsadogenic and 23 non-torsadogenic drugs from many chemotypes

• We used automated gigaseal patch clamp for throughput, accuracy, robustness and cost

• To compare hERG and MICE assays, binary TdP outcomes were interpreted with logistic regression models

• MICE models especially #5 significantly increased TdP predictivity and reduced Type 1 and 2 errors

• MICE turn-around times are 10-20x faster than manual patch clamp. Cost is de minimus compared to the gain in predictivity

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Predicting Cardiac Safety: MICE Assay Should be the Preferred Assay for Nonclinical Cardiac Risk Assessment

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Conclusions:TdP: MICE ~ 3X better than hERG as predictorMICE vs hERG halved false positives, reduced false negatives 6-foldTATs: MICE QPatch ~ 10x faster than hERG manPatch

Adapted from Kramer et al. 2013 Nat Sci Reports.

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The Future: CiPA

A Comprehensive in vitro Proarrhythmia Assay to:1. evaluate effects on multiple cardiac ion

channels (QED in this presentation)2. provide a more complete and accurate

assessment of potential effects on human cardiac electrophysiology using SC-derived cardiomyocytes and in silico models of the ECG

3. focus on proarrhythmia rather than QT prolongation

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Why CiPA?

S7B & E14 unsatisfactory because:1. +HERG ≠ +DR⃰ ( ~ 30% nonclinical discordances)2. +QTc ≠ +TdP ( millions of clinical discordances) 3. +HERG ≠ +TdP (qed; DeBruin et al, 2005)4. - HERG ≠ - TdP

• CiPA recommends: MICE vs HERG aloneProarrhythmogenicity vs ↑ QTc

DR ⃰ = Delayed Repolarization (↑QTc or APD90)

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ChanTest Program to Predict Sudden Cardiac Death by Non-Antiarrhythmic Drugs (cardiac risk assessment)

• MICE: gigaseal patch clamp methods reduce Type 1 and Type 2 errors (nonclinical discordance < 10%, Kramer et al 2013)

• Proarrhythmogenicity in human stem cell-derived cardiomyocytes tested by:

1. MEA & 2D propagation2. xCELLigence and contractility;3. mPC & probability of EADs

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SC-Derived Human Ventricular Myocytes Studies with MEA & Impedance

FPD

Na+ SpikeAmplitude

Beat Period

T-wave

MEA

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QRS

MEA: Measures extracellular field potentials yielding ECG-like recordings. Na+ spike amplitude, field potential duration (FPD), beat period/rate in stem cell-derived human cardiomyocytes

xCELLigence

a

DMSO ouabain 10 nM

b

control ouabain, 11.8 hr

control ouabain 10 nM, 3.8 hr

control DMSO, 11.8 hr

control DMSO, 3.8 hr

0.02 CI

500 ms

xCELLigence: Measures electrical impedance changes resulting from myocyte contraction. Detects amplitude, rise and decay times, beat period/rate, cell index

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MEA: HERG Block Prolongs FPD

Moxifloxacin prolongs FPD and induces arrhythmic events. A: Line graph (green line) shows percent change in FPD vs. [Moxifloxacin], μM. B: Waveform comparison of baseline versus moxifloxacin treatment. Arrows mark the peak of each T wave (FPD). Early arrhythmic events were observed with 300 µM moxifloxacin after 10 minutes (white trace).

A B300 µMBaseline 100 µM

Human iPSC Cardiomyocytes, Axiogenesis AG

-40

-20

0

20

40

60

80

10 30 100 300

Perc

ent C

hang

e

Conc., µM

Moxifloxacin

Beat PeriodSpike AmpFPDFPDc

22

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Implementing CiPA at ChanTest

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From Kramer et al, Nature Sci Reports, 2013; Sager et al. Am Heart J, 2014.

O-R ModelhCAP

MEA ResultsFunctional Effects

on MultipleCardiac Currents

MICE

Voltage Clamp(mPC or APC)

+In Silico

Simulations

LR Models

Proarrhythmic Liability

IntegratedHuman Cellular

Studies

ConfirmatoryElectrophysiology

Data

iPSC- & hESC-Derived CMs

MEA, FPD, arrhythmias,APD, mPC, (APC),

xCELL, cytotoxicity

ProarrhythmiaScore

Mechanism-based,Continuous Scale,

Rank-ordered Comparisons,

Contextual Data

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Nonclinical Cardiac Safety Triage

GLPhERG

ScreenPatch®[hERG, Nav1.5, Cav1.2]

LR Model

HERG‐Lite®hERG Trafficking

Selective hERG blockor  trafficking deficit

Comparator Study

*Human Induced Pluripotent Stem Cell‐Derived Cardiomyocytes

MEAMICE

FPD ( “QT”)       EAD/Arrhythmias

EAD/Arrhythmias

xCELLigence®ContractilityToxicity

↓Cell Index

FastPatch

MICEConcentration‐ResponseQuantitative Profiling

[hERG, Nav1.5, Cav1.2, KvLQT1, Kir2.1]

Selective hERG Block

MICE Model

Lead Optimization

hIPSC‐CMAssays*

= “No go” outcome

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CiPA at ChanTest

FastPatch (QPatch) Cardiac Channel Panel Screen (with Positive Control)Channel # Test Articles Concentrations Replicates/Conc.

Cav1.2 (L-Type) 1 4 3

hERG (IKr) 1 4 3

Nav1.5 1 4 3

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OPTION: SaVety Assessment- Report includes a Torsade de Pointes (TdP) risk assessment- Profiles of known compounds with similar TdP risk assessment scores- Comparison to hERG aloneNumber of Channels: 3

Study DesignCells/Test System # Test Articles Concentrations Replicates/(n)

MEA 9 5 4

xCELLigence 5 4 4Test will include vehicle and positive controls

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Avoid Unexpected Outcomes

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Achieve Expected Outcomes

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Colleagues

ChanTest LeadscopeJim Kramer Glenn MyattCarlos Obejero-Paz Ohio State UniversityTony Lacerda Joe VerducciYuri KuryshevAndrew Bruening-WrightGreg Luerman ChanTest Staff Scientists

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