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Pharmacokinetic and Pharmacodynamic Sciences in Oncology Drug Development: Enabling Rational Dose Selection from Translational to Global Drug Development Karthik Venkatakrishnan, Ph.D., FCP Quantitative Clinical Pharmacology Takeda Pharmaceuticals International Co. Cambridge, MA, USA 3 rd Annual Conference of Society for the Study of Xenobiotics (SSX), India October 13, 2018 Bangalore, India 1

Pharmacokinetic and Pharmacodynamic Sciences ... - SSX INDIA · Population PK analysis at End of Phase 3: Model-Informed Labeling/ Dosing Recommendations No dose adjustments for BSA

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Pharmacokinetic and Pharmacodynamic Sciences in Oncology Drug Development: Enabling Rational Dose Selection from Translational to Global Drug Development

Karthik Venkatakrishnan, Ph.D., FCPQuantitative Clinical PharmacologyTakeda Pharmaceuticals International Co.Cambridge, MA, USA

3rd Annual Conference of Society for the Study of Xenobiotics (SSX), India

October 13, 2018Bangalore, India

1

Outline of Presentation

Translational PK/PD Considerations

Dose Selection in Early Drug Development

Case Study: Alisertib Single Agent and Combination with Paclitaxel

Population Pharmacokinetics and Exposure-Response

Case Study: Ixazomib in Relapsed/ Refractory Multiple Myeloma

Enabling Global Drug Development

Case Study: Alisertib in East Asian Patient Populations

Concluding Remarks

2

Quantitative Pharmacology Across the Continuum ofOncology Drug Development: Challenges and Opportunities

Venkatakrishnan K et al., Clinical Pharmacology and Therapeutics 97(1): 37-54, 20153

PK/PD Scientific Considerations are Crucial to EnhanceTranslational Utility of Mouse Xenograft Models

PK/E Model-estimated Potency

Clin

ical

Exp

osur

eat

Effe

ctiv

e D

ose

Rocchetti M et al., European Journal of Cancer 43: 1862-1868, 2007Wong H et al., Clinical Cancer Research 18:3846-3855, 2012

4

Translational PK/Efficacy Modeling and Simulationto Guide Clinical Dosing Schedules

Venkatakrishnan K et al., Clinical Pharmacology and Therapeutics 97(1): 37-54, 2015 5

Clinical Tumor Pharmacodynamic Studies –Are they Adding Value as Designed and Analyzed?

Sweis RF et al., Journal of Clinical Oncology 34(4):369-74, 2016

Only 17% of Ph 1’s with Tumor PD assessments demonstrated

positive PD effects!

6

Enhancing Value of Clinical Pharmacodynamics –An Opportunity for Quantitative Clinical Pharmacology

Venkatakrishnan K and Ecsedy JA, Clinical Pharmacology and Therapeutics 101(1): 99-113, 2017 7

Enhancing Value of PharmacodynamicsAn Analytical Framework Enabled by a Totality of Evidence Mindset

Venkatakrishnan K and Ecsedy JA, Clinical Pharmacology and Therapeutics 101(1): 99-113, 2017 8

Case Study: Investigational Aurora A Kinase Inhibitor Alisertib

Selecting RP2D Leveraging Clinical Exposure-Tumor PD and Exposure-Safety Relationships

9

Exposure- Tumor PD Relationships for the InvestigationalAurora A Kinase Inhibitor Alisertib to Guide RP2D/ Schedule Selection

Venkatakrishnan K et al., Journal of Clinical Pharmacology 55(3): 336-347, 2015

Aligned chromosomesBipolar spindle

Unaligned chromosomesBipolar spindle

Unaligned chromosomesNon‐bipolar spindle

Steady-state AUC(0-24hr) (nM.hr)

0 20000 40000 60000 80000 100000 120000 140000 160000

Chr

omos

ome

Alig

nmen

t(P

erce

nt o

f Bas

elin

e V

alue

)

0

10

20

30

40

50

60

70

80

90

100

110130

135

Steady-state AUC(0-24hr) (nM.hr)

0 20000 40000 60000 80000 100000 120000 140000 160000

Spi

ndle

Bip

olar

ity(P

erce

nt o

f Bas

elin

e V

alue

)

0

10

20

30

40

50

60

70

80

90

100

110130

135Chromosome Alignment Spindle Bipolarity

Schedule MTD Dose density(mg/day)

AUC0-24h,ss(M.hr)

IQR

Tumor PD(% in CA/SB)

IQR7on/ 14off 50 mg BID 33.3 33-63 68-80 / 55-70

21on/ 14off 50 mg QD 30.0 17-31 52-67 / 38-53

10

Therapeutic Index Understanding for the Investigational Agent Alisertib Informed by Population PK, Exposure-PD and Exposure-Safety Analyses

Venkatakrishnan K et al., Journal of Clinical Pharmacology 55(3): 336-347, 2015 11

Tota

l Cyc

le U

nbou

nd P

aclit

axel

AU

C (n

g.hr

/mL)

0 1000 2000 3000 4000 5000 6000 7000 8000 9000 100000

200

400

600

800

1000

60P80P60P/40A80P/10A

857565

352515

555

Total cycle unbound AUC of investigational agent

Translational Exposure-Efficacy Modeling for Drug Combinations:RP2D Selection for Alisertib-Paclitaxel

Two MTDs determined in Phase 1b MTD1: Full weekly paclitaxel dose (80 mg/m2) plus 10 mg BID alisertib MTD2: Level -1 weekly paclitaxel dose (60 mg/m2) plus 40 mg BID alisertib

MTD2 selected as RP2D based on translational PK/PD considerations

Huck JJ et al., Molecular Cancer Therapeutics 13(9):2170-83, 2014

Isobologram

MTD1

MTD2

TGI Response Surface

12

Case Study: Ixazomib for Relapsed/ Refractory Multiple Myeloma

Population PK and Exposure-Response Applications in Support of the Approved Dose in Combination with Lenalidomide and Dexamethasone (Len-Dex)

13

Population PK Analysis at End of Phase 1:Model-Informed Switch from BSA-Based to Fixed Dosing

Gupta N et al., British Journal of Clinical Pharmacology 79(5):789-800, 2015

BSA‐based dosing

Fixed dosing

AUC (ng*hr/m

L)

020

0040

0060

0080

00

BSA (m2)

AU

C (n

g*hr

/mL)

1.4 1.6 1.8 2.0 2.2 2.4 2.6

050

0010

000

1500

0

Fixed Oral Dosing Simulation (N=1000)

14

Population PK analysis at End of Phase 3:Model-Informed Labeling/ Dosing Recommendations

No dose adjustments for BSA Age Race Sex Mild hepatic impairment Mild/moderate renal

impairment

For BSA and Age, median values are compared 5th and 95th pct

755 patients in 10 clinical studies,

including the phase 3 TOURMALINE-MM1

study

Gupta N et al., Clinical Pharmacokinetics 56(11):1355-1368, 2017 15

Ixazomib-Len-Dex in Relapsed/ Refractory Multiple Myeloma in TOURMALINE-MM1 Phase 3 Trial –

Consistent Efficacy Across Ixazomib Exposure QuartilesSupports 4 mg Weekly Starting Dose

Gupta N et al., Targeted Oncology 12(5):643-654, 2017 16

Exposure-Related increase in Probability of TEAEs of Clinical Interest Supports Ixazomib Dose Reduction Guidelines (4 mg 3 mg 2.3 mg)

17Gupta N et al., Targeted Oncology 12(5):643-654, 2017

Case Study: Alisertib in East Asian Patient Populations

Value of Population Pharmacology in Defining Dosage for Global Clinical Development

18

Multi-Regional Clinical Trials and ICH E17 –Opportunities for East Asia-Inclusive Global Clinical Development

Global MRCTs on the rise, notably in oncology and in rare diseases ICH E17 offers opportunities for efficient global drug development

Asano K et al., Clinical and Translational Science 11: 182–188, 2018http://www.ich.org/fileadmin/Public_Web_Site/ICH_Products/Guidelines/Efficacy/E17/E17EWG_Step4_2017_1116.pdf

19

Roadmap for PK/PD/Safety Guided Dose Decisions in East Asia-Inclusive Global Oncology Drug Development

Similar to Western

PK?

NO

YES

(PD, safety)

Clinically relevant

difference?(PD, safety)

• Low risk for differentdose for East Asia

• Base plan to assumecommon global doseWestern

Exposure-safety and Exposure-PD

relationshipNO

YES

DoseAsia ≠ DoseWestEvaluate regional trial versus exposure-matched global registration trial

East Asian Phase 1Assessment of PK/PD/Safety

Western Population PK

Analysis

Venkatakrishnan K et al., Clinical and Translational Science 9: 9-22; 2016 20

Alisertib in East Asia –An example of clinically relevant PK differences

Alisertib Steady-State AUC0-24hr (nM*hr)

0 20000 40000 60000 80000100000

120000140000

Prob

abili

ty o

f DLT

0.0

0.2

0.4

0.6

0.8

1.0

Western AUC Distribution (50 mg BID)

Asian AUC Distribution (50 mg BID - Projected)

Predicted DLT Probability95% Confidence Interval

Asian Geometric Mean AUC (50 mg BID - Projected)

Western Geometric Mean AUC (50 mg BID)

Time (hours)

0 2 4 6 8 10 12

Mea

n D

ose-

Nor

mal

ized

Alis

ertib

Pla

sma

Con

cent

ratio

n (n

M/m

g)

0

20

40

60

80

100

120

140West (n=23)Asia (n=34)

• PK/PD considerations supported a lower (30 mg vs. 50 mg) dosein East Asia

Venkatakrishnan K et al., Investigational New Drugs 33(4):942-53, 2015 22

Dosing Rationale for East Asia-Inclusive Global Development

MATCHINGSYSTEMIC EXPOSURES

22Zhou X et al., British Journal of Clinical Pharmacology 84(1):35-51, 2018

Global Oncology Drug developmentA Multi-Disciplinary Approach

Venkatakrishnan K et al., Clinical and Translational Science 9: 9-22; 2016 23

To conclude…

DOSE OPTIMIZATION IN

ANTICANCER DRUG

DEVELOPMENT

Translational PK/PD/EGuidedDose/

Schedule

Rational PD Design and

Interpretation

Appropriate Control of PK

Variability

RP2D Informed by Long-term Safety and Tolerability

Rational Design of

Combination Dosing

Regimens

Dose-Ranging Phase 2 Studies

Quantitative Benefit-Risk

Understanding

Timely Understanding

of Intrinsic/ Extrinsic

Factor Effects

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Acknowledgments

Neeraj Gupta, Ph.D., FCP, Quantitative Clinical Pharmacology, Takeda Xiaofei Zhou, Ph.D., Quantitative Clinical Pharmacology, Takeda Michael Hanley, Pharm.D., Ph.D., Quantitative Clinical Pharmacology, Takeda Ajit Suri, Ph.D., MBA, Quantitative Clinical Pharmacology, Takeda Chirag Patel, Ph.D., Quantitative Clinical Pharmacology, Takeda Dean Bottino, Ph.D., Quantitative Clinical Pharmacology, Takeda

Mark Rogge, Ph.D., FCP, Quantitative Clinical Pharmacology, Takeda

Diane R. Mould, Ph.D., FCP, FAAPS, Projections Research Inc. Paul Diderichsen, Ph.D., Certara

Takeda Oncology Program Teams Takeda TREC/ OTAU Leadership

Investigators Patients and their families

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Thank you!

[email protected]

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