55
From Preclinical Data to Proof of Concept – Strategies for First to Man Studies. PD Dr. med G. Wensing Head PH-GDD-GCP Pharmacodynamics Bayer HealthCare AG, Wuppertal

From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

  • Upload
    others

  • View
    3

  • Download
    0

Embed Size (px)

Citation preview

Page 1: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

From Preclinical Data to Proof of Concept –Strategies for First to Man Studies.

PD Dr. med G. WensingHead

PH-GDD-GCP Pharmacodynamics Bayer HealthCare AG, Wuppertal

Page 2: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

Traditional Development Chaine

ProcessExplora-

tory Research

Strategic Research Preclinical Phase

IPhase

IIaPhase

IIbPhase

IIIRegistra-

tionLaunch

Target identificationLead structure identification

Lead structure evaluationFIM (Safety, Tolerability, PK)

Dose finding, safety

Efficacy, safety

Lead structure optimization

Effect, dose ranging, safety

Page 3: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

Phase I Working Package

First in Man PackageFIM studies: safety, tolerability and pharmacokinetics (sd and md)Food effect (pilot)Effect of age and sexCritical drug interactionsComparisons of formulations if required (relative bioequivalence)

ProcessExplora-

tory Research

Strategic Research Preclinical Phase

IPhase

IIaPhase

IIbPhase

IIIRegistra-

tionLaunch

Page 4: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

Clinical Pharmacology is More Than “Phase I”

ProcessExplora-

tory Research

Strategic Research Preclinical Phase

IPhase

IIaPhase

IIbPhase

IIIRegistra-

tionLaunch

Extended Phase I

Extended phase I• Drug interactions (pharmacokinetic, pharmacodynamic)• Special populations (women, hepatic/renal/target pop.) • Mass balance, Absorption site, Bioavailability• New/alternative formulation• Special studies

Clinical Pharmacology conducts about 80 % of all clinical trials until NDA

Page 5: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

Clinical Pharmacology is Even More

ProcessExplora-

tory Research

Strategic Research Preclinical Phase

IPhase

IIaPhase

IIbPhase

IIIRegistra-

tionLaunch

Phase I after launch

Phase I after launch• Regulatory mandated studies• Marketing support studies• Studies supporting new indications• Life cycle management

Extended Phase I

Page 6: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

Contribution of Clinical Pharmacology to Drug Development

• Clinical Pharmacology conducts – about 40 - 50 %of all clinical

studies in a company

Number of Clinical Trials* Year 1999

All Trials except CP CP In-house trials

CP External trials

56 % (n=77) 31 %

(n=38)

12 % (n=22)

• Clinical Pharmacologycontributes– about 40 - 50 % of

information to thepackage insert

= Clinical Pharmacology

= Clinical Pharmacology / Clinical

Page 7: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

Economical Pressure in Drug Development

economical situation in drug industry requires fromeverybody working in drug development

„to do more, faster with less“

to bring new compounds earlier and more efficiently to themarket

Page 8: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

Problems in Drug Developmentincrease in NCE´s released for development

increase in development timesincrease in development costs

failure in late clinical trialsdecrease in NME output

reduced effective patent lifeincreasing pricing regulations

poor response rates/nonresponders after market authorizationadverse events/withdrawal after market authorization→ 2001- 2003: 15

-50

0

50

100

150

200

250

Time Cost NME´s

1990-19992000-2003

%

Page 9: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

Challenge in Drug Development

• to avoidto develop drugs unlikely to be therapeuticallyeffectiveto market new products with potential safetyissuesto market new products lacking superiority or a better safety margin over existing treatments

• to evaluate alternative waysto define the potential for a drugs safety and efficacy earlier

Page 10: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

Cost and Probability of Success of NMEsin Clinical Development

2040

120110

275

40

0

50

100

150

200

250

300

phase I phase II phase III/NDA

mio Euros

0102030405060708090

100

phase I phase II phase I new phase II new

success of phase success to launchCost of drug development in clinicalphases

Probability of success of NMEs in early clinical development

0.5 0.5 –– 1.0 (2.0)1.0 (2.0)

Page 11: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

Economical pressure in drug development -how to deal with ?

Phase I and II studies should be designed for decisionmaking ......

Colburn, 1996

„Too often the thrust of change has been on process

rather than scientific content“

Lesko et al, 2000

Page 12: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

Reason for Failure during ClinicalDevelpoment

10 % fail because of unwanted PK/unfeasible galenics

20 % fail because of toxicology

40 % fail because of lack of efficacy

Others (economical)

Page 13: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

ProcessExplora-

tory Research

Strategic Research Preclinical Phase

IPhase

IIaPhase

IIbPhase

IIIRegistra-

tionLaunch

Exploratory Confirmatory

Further DevelopmentProof-of-Concept

New Development Chaine

PoC

Page 14: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

goalfast entry into humanrapid go/no-go decision minimizing resource needs in early development phasesreducing attrition rates in late development

pre-requisiteno change in safety requirements for volunteers

cave: does not save develoment timemay cause additional time

Exploratory Drug Development

Page 15: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

Clinical Pharmacology is contributing to the overall development process

Fast decision through early confirmation of mechanism of action

Fast decision through early confirmation of mechanism of action

Knowledge transfer for DP1 candidate selection

Knowledge transfer for DP1 candidate selection

Increased probability for registration through specific expertise in registration activities (e.g. dossier writing, hearings)

Increased probability for registration through specific expertise in registration activities (e.g. dossier writing, hearings)

PoC

First doseto man

QT

Explora-tory

Research

Strategic Research Preclinical Phase

IPhase

IIaPhase

IIbPhase

IIIRegistra-

tionLaunch

Support of marketing by lifecycle management and realising competitive advantage

Support of marketing by lifecycle management and realising competitive advantage

Input for clinical development and development plan

Input for clinical development and development planBiomarker StrategyBiomarker Strategy

Contribution of Clinical Pharmacology to Drug Development

Page 16: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

Exploratory and Confirmatory Phase IExploratory phase IInternal decision making• go/no-go decisions based on

– pharmacokinetics – pharmacodynamics

• safety/tolerability• effect (PoM/PoP)

• candidate selection • dose, dosing regimen

– formulation, route• critical interactions

• individualized plan for everycompound before start of preclinics

• plan studies before FIM individually

Confirmatory Phase ILabelling• drug interactions

– PK and PD

• special target populations

– Women, hepatic/renal insuf.

– Target population

• mass balance, bioavailability

• new/alternative formulationsspecial studies

• Concept for development before FIM

Page 17: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

Before Exploratory Drug development

PreclinicsStandardizedProgramme

FIM Package

Phase IIa

Page 18: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

Exploratory Drug development

PreclinicsFocused

Programme

PreclinicsFocused

Programme

PreclinicsFocused

Programme

Phase Igo/no-go

SD/MD/INT

Phase ISD

Phase I (vol. or pat.)SD & MD

PoM/PoP PoM/PoP„Phase I“Setting

PoM/PoP„Phase IIa“

Setting

Page 19: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

Mandatory:First into man (SD): safety, tolerability, PK

but may only comprise limited number dosesProof of Mechanism/Proof of Concept studyMay be incorporated in FIM Study (PoM via lab. Biomarkers)

Optional:First into man (MD): safety, tolerability, PKFood effect (pilot)Effect of age and sexCritical drug interactionsComparisons of formulations if requiredAbsorption Site

Integration of biomarkers whenever possible

Exploratory Phase I

Page 20: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

goalfast entry into humanrapid go/no-go decision minimizing resource needs in early development phasesreducing attrition rates in late development

pre-requisiteno change in safety requirements for volunteers

cave: does not save develoment timemay cause additional time

Exploratory Drug Development

Page 21: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

Biomarker/surrogate/clinical endpoint -Definitions

• Biomarker: laboratory measurement or physiologic sign in association with physiologic process of putative therapeutic or diagnostic value

• Surrogate endpoint: laboratory measurement or physiological sign used as substitute for a meaningful clinical endpoint

• Clinical endpoint: clinical meaningful measure of how a patient feels, functions, survives

• used for safety and efficacyLesko et al CPT, 2001

Page 22: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

What is a Biomarker?

• Type 0: genotype/phenotype

• Type 1: plasma concentration

• Type 2: target occupancy

• Type 3: target activation

• Type 4: physiological measures

• Type 5: disease process

• Type 6: clinical scales

Dahnhof et al, Pharmaceutical Research 2005

Page 23: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

• Study design: Randomisednon-controlled or placebo-controlledsingle- or double-blind cross-over or group-comparision usually monocentre studies

• Objectives: Safety , tolerability, pharmacokinetics, pharmacodynamics

• Subjects: Healthy (male) subjects, symptomatic subjects (mildly-diseased)

• Variables– Safety: Lab, vital signs, clinical measures (depending on compound and

indication, subjective symptoms, questionnaire)• Nature of adverse events, maximum safe dose, reversibility

countermeasures

First in Man Study

Page 24: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

– Pharmacokinetics (drug and (active or major) metabolites): bioavailability, Cmax, tmax, t1/2, clearance, AUC, Vss

• dose linearity/proportionality • bioavailability (absolute/relative)• interactions• age/gender• special populations

– Pharmacodynamics: variables depending on compound and indication, usually non-invasive

• pharmacological profile• onset, duration, extent and variability of effects• interactions• age/gender• special populations

– PK/PD relationship• Dose/concentration effect relationship• Modelling and Simulation

• Formulation: service formulation possible

First in Man Study

Page 25: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

Adverse Events in Healthy Volunteers in Phase I Studies - Overall Results

Adverse events in 1559 volunteers with 2955 treatments

active drug placebo total

follow-up (days) 25802 3862 29664adverse events (n) 2192 153 2604incidence (%) 9.1 8.5 8.8incidence (%) 14.1* 9.1 12.1placebo-contr.

Lutfullin, Kuhlmann, Wensing IJCPT, 2005

Page 26: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

Rates of occurence of adverse events in healthy volunteers in phase I studies

Sibille Bayernumber 1558 2604per subject 1.5 1.7per treatm. 1 0.9 per study 29 18.3mild/moderate % 97.2 99.2

Sibille et al, Eur J Clin Pharm 1998 Lutfullin, Kuhlmann, Wensing IJCPT, 2005

Page 27: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

definition of study populationhealthy volunteerspatients with mild disease (symptomatic volunteers)

no disadvantage if no efficacyno concomitant medication

validated biomarkerfeasibility in preclinical modelsestablished PK/PD relationshipexploratory markers may be useful

safety firstavailability of adequate formulation

usually service formulation (solution)/iv formulationkeep bioavailability problems lowfeasibility in patients

focused preclinical program to support phase I up to PoP/PoMfocused phase I program to support PoP/PoM study

single/multiple dose escalation special populations

Considerations for Early PoM/PoC in Phase I/IIa

Page 28: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

Phase Ib/IIa: Proof of Concept• Design: randomised

placebo/competitor controlled, exploratory, double-blindsingle or multicentre trial (few centres only)

• Objective: Measurement of pharmacological activity

• Subjects: Healthy subjects or mildly diseased patients

• Variables: Biomarkers (surrogates) depending on indication

• Treatment: short term (up to 4 (-6) weeks), limited number of doses and subjects (50-100)

• Formulation: service formulation possible

Page 29: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

Preclinical Pharmacokinetics

0

50

100

150

200

250

300

Rifa PB Cp x Cp y Cp z

RifampicinPhenobarbitalCompound x

Rifa = RifampicinPB = PhenobarbitalCp x = Compound xCp y = Compound yCp z = Compound z

CYP 3 A4 enzyme induction in human hepatocytes

CYP 3A4 activity

% of control

[3H]-Digoxin Transport

Probeaddition

Apical

Basal

Probecollection

Apical

Basal

0 1 2 3 40

10

20

30

Time, Hours

Dig

oxin

Tra

nspo

rt (%

)

L-MDR

Fromm et al, Circulation 1999

basal - apikal

apikal - basal

CYP2E1%

CYP2D624%

CYP2C8/9/1919%

CYP1A2

5%

CYP3A3/4/5

51%

Page 30: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

Preclinical Pharmacokinetic InformationInformation from basic pharmacokinetics in different species

– interspecies comparison– absorption/elimination– responsible enzymes– most human like species – polymorphic enzymes (2D6, 2C19)– enzyme induction– enzyme inhibition – drug-drug interactions– involvement of transporters– absorption site

Information for phase I design- go/no-go, up-scaling, interaction program, risk assessment

Page 31: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

• Estimation of likely human exposure ( AUC and Cmax) for first dose in man

• Estimation of doses likely to be safe based on exposure in preclinical safety/toxicology studies

• Estimation of doses likely to be effective based on exposure in pharmacological studies

Exposure Predictions for Exploratory Phase I

Page 32: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

Determination of First to Man Dose

Safety Margin ConsiderationsDesired Effects

mouse in-vitro EC50 500 nM human in-vitroEC50 48nM rat in-vitro IC50 450 nMmouse in-vivo Cmax 3.1 µM human (pred.) Cmax ~0.5 µM

(~1.5 mg/l @ 1.25 mg/kg bid) (0.2 mg/l @ 0.35 mg/kg)

fu 0.086 % ⇒ Cmax,u ~0.43 nM

Adverse Effects Safety Margin

HERG in-vitro EC50 ~3 µM (EC20 ~1 µM) 2Purkinje fiber APD90 shortening at ≥ 1 µM 2consc. dog: no effects on ECG / heart rate

Cmax ≤ 8.0 mg/l (≤ 16.7 µM) > 33fu 0.138% ⇒ Cmax,u ≤ 23 nM > 53

Proposed human starting dose: 0 1 mg/kg or 10

Page 33: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

Determination of First to Man Dose -Species Scaling

Compounds in decreasing order of ratio actual vs. predicted AUC

Act

ual v

s. p

redi

cted

AU

C (R

atio

)

0.2

0.3

0.5

2

3

5

20

0.1

1

10

0.2

0.3

0.5

2

3

5

20

0.1

1

10within 2-fold range

off by more than 3-foldoff between 2 and 3-fold

67 % within a factor of 279 % within a factor of 3

Compounds in the order of decreasing ratio actual vs. predicted Cmax

Act

ual v

s. p

redi

cted

Cm

ax (R

atio

)

0.2

0.3

0.5

2

3

5

20

0.1

1

10

0.2

0.3

0.5

2

3

5

20

0.1

1

10within 2-fold range

off by more than 3-foldoff between 2 and 3-fold

55 % within a factor of 277 % within a factor of 3

AUC n=24 Cmax n=24

Page 34: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

Preclinical Pharmacodynamics

Experimental PharmacologyToxicology Safety Pharmacology

formally well standardized (ICH-Guidelines; standard models)

but

often uncertainty about physiological relevance of target in man

Page 35: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

Safety Pharmacology

investigation of the effect on important physiological systems

mandatory (ICH)cardiovascular, respiratory, central-nervous

additional (dependent on drug class, indication)gastro-intestinal, excretory, endocrine, blood, metabolism etc.

dose-response relationship

special investigations

pyrogenicity, immunotoxicity, hypersensitivity

Page 36: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

Clinical treatment Duration of toxicity studies durationEU USA Japan

single dose 2 weeks 2 weeks* 2 weeks (non-rodent)4 weeks (rodent)

multiple doseup to 2 weeks 2 weeks 2 weeks 2 weeks (non-rodent)

4 months (rodent)up to 1 month 1 month 1 month 1 month

up to 3 months 3 months 3 months 3 months

up to 6 months 6 months 6 months 6 months

> 6 months 6 months (rodents) 6-9 months (non-rodents)* alternative: single dose with extended examinations

Duration of Toxicology StudiesDuration of toxicology studies required before starting studies in humans

Page 37: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

Preclinical Pharmacodynamics• predictions for use in man

– „therapeutic effect“ in relevant animal model• target concentration, minimum/ maximum effective dose• dose-effect relationship• type of pharmacological measures to be used in man

– toxicological/safety pharmacological targets• NOAEL• safety margin• type of precautions to taken in phase I• availability of decision making data (QTc)

– effect of sex, age, disease

• need of biomarkers validated in preclinical studies– availability and use feasible in man

Page 38: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

Preclinical Evaluationcompound characteristics

high lipophilicity, low solubilitymeaning of targetmeaning of pharmacological modeladequate description of dose/concentration-effect relationship

same species for all preclinical disciplinesrelevant doses and time course, adequate number of animalsconsistency of formulations in human and preclinical studies

availability and use of biomarkers also feasible in humansavailability and interpretation of required toxicological and safetypharmacological data

toxicokineticsdescription of metabolic pathways

most human like species, responsible and polymorphic enzymes, enzymeinduction and inhibition QTc (HERG Channels), polymorphisms

Page 39: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

Screening IND - I

• question: are single dose toxicology studies adequate to supports.d. phase I studies ?

Monroe & Mehta (1996) Clin Pharmacol Ther 59: 258-264• FDA response (1996) Clin Pharmacol Ther 59: 265-267

guidance for s.d. animal tox to support s.d. phase I studies– 2 mammalian species– 2 routes of administration– wide range of doses incl. doses to cause life-threatening toxicity– male and female gender– observation for 14 days after dosing– histopathologic evaluation of all major organs and tissues (early and late -

reversibility?)– toxicokinetics with validated assays– complete preclinical pharmacology efficacy program

Page 40: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

Own single dose approach

• toxicology– s.d. tox. study rodent (clinical route)– 14-day study in rats (formulation maximising exposure)– 14-day study in non-rodent (formulation maximiszing exposure)– genotoxicity tests covering two different endpoints

• e.g. Ames and micronucleus• reversibility should be built in the 14-day studies

• inclusion of 14-day studies offers more flexibility– e.g. start of up to two week studies in man

• safety pharmacology– traditional program

• some parameters substituted by toxicology• if only s.d. toxicology available: full program needed

Page 41: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

Plasma concentration1 10 100 1000

Mec

hani

stis

cher

Par

amet

er

-10

0

10

20

30

40

50

60

70

80

90

10010 mg Solution5 mg Solution1.25 mg Tablet5 mg Tablet10 mg Tablet15 mg Tablet 20 mg Tablet 30 mg Tablet40 mg Tablet 60 mg Tablet 80 mg Tablet

SD FIM and PoM - Laboratory BiomarkerConcentration-Effect Relationship for a Direct Factor Xa

Inhibitor

Page 42: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

Prediction of Plasma Concentrations and Pharmacodynamic Effects

0.00

50.00

100.00

150.00

200.00

250.00

300.00

350.00

0.00 4.00 8.00 12.00 16.00 20.00 24.00 28.00 32.00 36.00 40.00 44.00 48.00

Time [h]

Con

cent

ratio

n [µ

g/L]

curve-fitmeasured data

0.00

10.00

20.00

30.00

40.00

50.00

60.00

70.00

0.00 4.00 8.00 12.00 16.00 20.00 24.00 28.00 32.00 36.00 40.00 44.00 48.00

Time [h]

Mec

hani

stis

cher

Par

amet

er

curve-fitmeasured data

0.90

1.00

1.10

1.20

1.30

1.40

1.50

1.60

1.70

0.00 4.00 8.00 12.00 16.00 20.00 24.00 28.00 32.00 36.00 40.00 44.00 48.00

Time [h]

Klin

isch

er P

aram

eter

curve-fitmeasured data

observe and modelobserve and model

Page 43: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

0.00

50.00

100.00

150.00

200.00

250.00

300.00

350.00

0.00 24.00 48.00 72.00 96.00 120.00 144.00 168.00 192.00 216.00

Time [h]

Con

cent

ratio

n [µ

g/L]

curve-fitmeasured data

Prediction of Plasma Concentrations and Pharmacodynamic Effects

0.00

10.00

20.00

30.00

40.00

50.00

60.00

70.00

0.00 24.00 48.00 72.00 96.00 120.00 144.00 168.00 192.00 216.00

Time [h]

Mec

hani

stis

cher

Par

amet

er

curve-fitmeasured data

0.90

1.00

1.10

1.20

1.30

1.40

1.50

1.60

1.70

0.00 24.00 48.00 72.00 96.00 120.00 144.00 168.00 192.00 216.00

Time [h]

Klin

isch

er P

aram

eter

curve-fitmeasured data

predict and verifypredict and verify

Page 44: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

#75 to be excluded#75 to be excluded

Time [h]0 12 24 36 48 168 180 192 204 216

Mechanistischer Param

eter

-20

-10

0

10

20

30

40

50

60

70

80

90

100individual subject dataobservations subject #75model & prediction subj. #75

#75 to be excluded#75 to be excluded

Prediction of Plasma Concentrations and Pharmacodynamic Effects

Page 45: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

Sd FIM - PK and Exploratory Biomarker

T im e [h ]0 5 1 0 1 5 2 0 2 5

Plas

ma

conc

entr

atio

n

-4

-2

0

2

4

6

8

1 0

1 2

Phar

mac

odyn

mic

effe

ct

-2

-1

0

1

2

P M

P M

E M

E M

Page 46: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

Pupillopgraphy as Exploratory Biomarker Concentration-Effect Relationship

BAY x 3702 plasma concentration [µg/L]0,1 1 10 100

adju

sted

to b

asel

ine

[mm

]

-5

-4

-3

-2

-1

0

1

2

INIT

IAL

DIA

MET

ER

Sd phase I data (200-2000 µg, p.o.)

Repinotan Plasma Concentration [µg/L]1 10

∆ a

dj. I

nitia

l Pup

il D

imet

er [m

m]

-4

-3

-2

-1

0

1

2

Healthy Volunteers Patients

Page 47: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

SD PoP - Clinical Biomarker in Healthy Volunteers

Levitra effects after oral administrationLevitraLevitra effectseffects after after oral oral administrationadministration

Animal experiment

Healthy volunteers

Page 48: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

SD PoP - Clinical Biomarker in Healthy Volunteers

Study 1Study 2 Study 2

100

10

1Placebo 250mg

2hPlacebo 100mg

2h500mg

2hPlacebo 100mg

8h500mg

8h

LTD 4-conc. (µg/ml)

LTD 4-conc. (µg/ml)

LTD 4-conc. (µg/ml)

LTD4 induced bronchoconstrictionLTDLTD44 inducedinduced bronchoconstrictionbronchoconstriction

Page 49: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

MD PoC in Patients - Laboratory and Clinical Marker

0

2

4

6

8

10

12

14

16

18

2 0

2 h (da y 1) 2 h (da y 7) 12 h (da y 1) 12 h (da y 7)

20 mg

50 mg

100 mg

200 mg

300 mg

400 mg

Time [ h]

20 mg 50 mg 100 mg 200 mg 300 mg 400 mg

RR Diastolic Decrease in mmHg

0 2 48 12

24

P lacebo

2 0 mg

5 0 mg

10 0 mg

2 0 0 mg

3 0 0 mg

4 0 0 mg

0

20

40

60

80

100

120

140

Plas

ma

Reni

n Ac

tivity

[µU/

ml]

Time [h]

Placebo20 mg50 mg10 0 mg200 mg300 mg400 mg

RR Patients

Renin Patients 7d

Page 50: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

0 2 4 8 12 24

P lacebo20 mg

50 mg100 mg

200 mg300 mg

400 mg

0

20

40

60

80

100

Pla

sma

Ren

in A

ctiv

ity

[µU

/ml]

Time [h]

Placebo

20 mg

50 mg

100 mg

200 mg

300 mg

400 mg

0 2 4 8 12 24

P lacebo10 mg

20 mg40 mg

80 mg200 mg

300 mg

0

1

2

3

4

5

6

7

8

Plas

ma

Ren

in A

ctiv

ity [µ

g/L/

h]

Time [h]

Placebo

10 mg

20 mg

40 mg

80 mg

200 mg

300 mg

Renin Patients

Renin Volunteers

SD PoM Healthy Volunteers vs Patients - Laboratory Marker

Page 51: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

What has changed?Technology and Knowledge and Degree of Certainty

Page 52: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

Other approaches in Early Drug Development

• Screening IND– on the basis of existing guidelines– SD approach alraedy mentioned

• Microdosing– guideline available– No own experience

• Exploratory IND– exploratory IND (US guideline)– just released, so far no experience

Page 53: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

Exploratory IND

• FIM Limited toxicological programme to support• Questions

– Kinetics– Dynamics– Candidate selection– Not to replace MTD

• Sd Tox• MD Tox: one species: three doses

second species: one dose

• Starting doses: 1/50 AUC NOAEL rat

Page 54: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

Conclusion

• FIM studies

– should be indiviualized for every compound and focused on earlygo/no-go decisions

• FIM planning should consider

– early evaluation of new compounds in preclinical phase– preclinical pharmacokinetic data– inclusion of biomarkers in FIM studies

• clinical biomarkerslaboratory biomarkers⌫pharmacogenetics/genomics

• modelling and simulation– early realisation of PoM/ PoC

Page 55: From Preclinical Data to Proof of Concept – Strategies for First to … · • Drug interactions (pharmacokinetic, pharmacodynamic) ... Æreducing attrition rates in late development

Basis of Medicine

Primum non nocere