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Translational Sciences and Clinical
Pharmacology in Orphan Drug Development
精准医学的临床部署:挑战与解决方案
Practical Challenges and Solutions for
Implementing Precision Medicine Programs
CAPT E. Dennis Bashaw, Pharm.D.
Dir. Division of Clinical Pharmacology-3
Office of Clinical Pharmacology
Office of Translational Sciences
US Food and Drug Administration
2
• The presentation today should not be
considered, in whole or in part as being
statements of policy or recommendation
by the US Food and Drug Administration.
• Throughout the talk, representative
examples of commercial products will be
mentioned. No commercial endorsement
is either implied or intended.
3
OUTLINE
• 21st Century Challenges in Orphan Drug
Development
• Personalized Medicine and Clinical
Pharmacology
• Problems and Solutions
• Building Knowledge for Tomorrow & Today
4
21ST CENTURY CHALLENGES IN
ORPHAN DRUG DEVELOPMENT
5
Lengthy Process to Reach Market
(TIME)
6
Drug Development Cost Figures
(MONEY)
J Health Econ. 2016 May;47:20-33. doi: 10.1016/j.jhealeco.2016.01.012
7
The Cost of Research vs Ease of Conduct
High
Low
Single Center Randomized Trials
Low
Single Case
Reports
Cohort Studies
Case-Control Studies
Case Series
HighEase of conduct
Multi-Center Randomized Trials
Cost
Essentially Orphan Drugs and Rare Diseases are caught in a
“RESOURCE SQUEEZE” that the standard drug development
paradigm is ill-suited for.
8
How Many Patients are Enough?
• Population Size Affected
– 74.5 million Hypertension
– <200,000-10,000 Juvenile Rheumatoid Arthritis (150,000)
– <10,000-1,000 Pompe Disease (7,300)
– <1,000 N-acetylglutamate Synthase Deficiency (<200?)
9
Making Every Patient Count
10
Orphan Development Paradox
Ironically, given the small absolute number of subjects that
are studied in an orphan product development program,
relative to the TOTAL size of the population the number of
subjects studied is actually a high percentage. Thus, our
understanding of the drug: disease interplay is quite high.
Thus we CAN (and MUST) do MORE with LESS by using
advanced tools.
Photo by kazuend on Unsplash
11
PERSONALIZED MEDICINE AND
CLINICAL PHARMACOLOGY
12
Personalized Medicine &
Personalized Genomics
• Personalized medicine uses traditional, as well as emerging
concepts of the genetic and environmental basis of disease to
individualize prevention, diagnosis and treatment.
• Personalized genomics builds on principles established by the
integration of genetics into medical practice.
• Principles shared by genetic and genomic aspects of medicine,
include the use of variants as markers for diagnosis, prognosis,
prevention, as well as targets for treatment.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3128266/
13
Clinical Pharmacology and
Precision Medicine
• Clinical Pharmacology as a science encompasses both classical
pharmacokinetics (drug measurement in the body) but also the
internal (INTRINSIC) and external (EXTRINSIC) factors that cause
variability in drug response (both safety and efficacy).
• Precision Medicine MUST encompass the tools and science of
Clinical Pharmacology to allow right drug for right patient.
• For Rare Diseases successful programs have to incorporate these
concepts at the patient and molecular level.
Huang S-M, Temple R, Clin Pharmacol Ther. 2008
14
Personalized Medicine
in the Age of Biomarkers
15
Decreased Development Time
http://www.impactjournals.com/oncotarget/index.php?journal=oncotarget&page=article&op=view&path[]=10588&pubmed-linkout=1
A net decrease in
development time of 34
months or almost 3yrs
16
17
Regulatory Challenge
• Orphan drugs held to same evidentiary standard as non-
Orphan drugs
• To be approved in US, Orphan drugs must:
– Demonstrate substantial evidence of effectiveness/clinical benefit
(21CFR 314.50)
– Substantial evidence of benefit requires:
• Adequate and well-controlled clinical study(ies)
– designed well enough so as to be able “to distinguish the effect
of a drug from other influences, such as spontaneous change…,
placebo effect, or biased observation” (§314.126)
18
Challenges in Orphan Drug /Rare Disease
Drug Development
• Large heterogeneity in disease pathophysiology
• Poorly understood natural histories and progression
• Few patients are available conducting clinical trials
• Uncertain appropriate duration of treatment
• Lack appropriate endpoints that predict outcomes
• Large heterogeneity in treatment effects
• Require compromise, innovation and trade-offs
• Make difficult decisions in absence of ideal information
Proper deployment of Clinical Pharmacology in orphan drug
development can extract the most amount of knowledge from least
amount of information
19
http://www.ctsi.umn.edu/sites/ctsi.umn.edu/files/chris-austin-ncats-presentation-umn-10.21.14.pdf
20
Increased Understanding and
A Long Way To Go
http://www.ctsi.umn.edu/sites/ctsi.umn.edu/files/chris-austin-ncats-presentation-umn-10.21.14.pdf
21
The Standard Phases of Drug Development
(or the growth of patient involvement)
Building Clinical Pharmacology
INTO A Development Program
22
Learn and Confirm
Vs Identify, Confirm, Refine, and LEARN
• Knowledge Management
– Leveraging information
• Biomarker Qualification
• Disease History
• Innovative Trial Designs
– Moving away from the “2 replicate trials” standard
• Innovative Analysis
– Pharmacometrics
• Modeling and Simulation
– Pharmcogenomics
• Patient Factors
– Pharmacovigilance
23
Quantitative Tools During Drug
Development
Tools
Decisions Target ID
ADME, Biomarkers, POC, Dose,
Efficacy, Safety, Approval,
Labeling
Safety, New
Indication
Process Pre-IND
EOP2A
EOP2
NDA/BLA
Quantitative ModelsMechanistic Empirical
Innovative
Designs
24
Linkage of Patient Factors
to PK and PD
25
BUILDING KNOWLEDGE FOR
TOMORROW & TODAY
26
Beyond the Randomized Clinical Trial
N Engl J Med 2017;377:465-75. DOI:10.1056/NEJMra1614394
27
The Future
• It is easy to say that we are on the edge of a revolution in drug
development
– We have ALWAYS been on the EDGE!
– Only the tools and our perspective of them have changed
• Patient INVOLVEMENT is also shaping orphan drug development
– Defining expectations
– Advocacy for new methods and policies
28
Communicating the Future
• While we rightly focus on the population, we must not lose sight
of the individual patient and the individual physician, nurse, and
pharmacist as well
– Biomarkers can allow us to link the patient, their genetics, the
ontology of the disease, and the healthcare system into a “holistic”
treatment approach
– Biomarkers can spur innovation and extrapolation thru re-
purposing of old drugs into underserved populations
• Only by selecting the right biomarkers and identifying the
proper dose for the patient population can we make “every
patient count” as every patient is a teaching opportunity for us
and an opportunity for that one patient as well
29
Combining the Workstreams
and Implementation
Biomarker Selection
Utilize in vitro and in
vivo systems to probe
and qualify biomarkers
PBPK Modeling
Build models based on
observed knowledge with a
“learn and confirm” strategy.
Classical PK/PD
Synthesize the
available PK/PD data
on Drug Metabolism
Develop
Actionable
Information
Informed labeling for the
prescriber
Pharmacogenomics
Utilize in vitro systems
to identify relevant
genetic factors to
enhance patient safety
and selection
Patient Selection
Understand the pathology
of the disease to select
the needed diversity in the
affected population
PATIENT
ENGAGEMENT
Feedback on needs
and expectations
30
Development of Safe and Effective Drugs
Requires a Team Effort
30
Academia
Industry
International
Collaboration
Patient
Advocacy
Good Science
& Policy
Benefits
To All
31
Contact Information
CAPT Edward D. Bashaw, PharmD.
Director, Div. of Clinical Pharmacology-3
US FDA
10903 New Hampshire Ave
Building 51, Rm 3134
Edward.Bashaw@fda.hhs.gov
32
Acknowledgements
• The Staff of the Division of Clinical Pharmacology-3
• The Office of Clinical Pharmacology
• The Office of Translational Sciences
• The International and Chinese Organization for Rare Disease
Transalational Sciences and Clinical Pharmacology in Orphan Drug Development

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Transalational Sciences and Clinical Pharmacology in Orphan Drug Development

  • 1. Translational Sciences and Clinical Pharmacology in Orphan Drug Development 精准医学的临床部署:挑战与解决方案 Practical Challenges and Solutions for Implementing Precision Medicine Programs CAPT E. Dennis Bashaw, Pharm.D. Dir. Division of Clinical Pharmacology-3 Office of Clinical Pharmacology Office of Translational Sciences US Food and Drug Administration
  • 2. 2 • The presentation today should not be considered, in whole or in part as being statements of policy or recommendation by the US Food and Drug Administration. • Throughout the talk, representative examples of commercial products will be mentioned. No commercial endorsement is either implied or intended.
  • 3. 3 OUTLINE • 21st Century Challenges in Orphan Drug Development • Personalized Medicine and Clinical Pharmacology • Problems and Solutions • Building Knowledge for Tomorrow & Today
  • 4. 4 21ST CENTURY CHALLENGES IN ORPHAN DRUG DEVELOPMENT
  • 5. 5 Lengthy Process to Reach Market (TIME)
  • 6. 6 Drug Development Cost Figures (MONEY) J Health Econ. 2016 May;47:20-33. doi: 10.1016/j.jhealeco.2016.01.012
  • 7. 7 The Cost of Research vs Ease of Conduct High Low Single Center Randomized Trials Low Single Case Reports Cohort Studies Case-Control Studies Case Series HighEase of conduct Multi-Center Randomized Trials Cost Essentially Orphan Drugs and Rare Diseases are caught in a “RESOURCE SQUEEZE” that the standard drug development paradigm is ill-suited for.
  • 8. 8 How Many Patients are Enough? • Population Size Affected – 74.5 million Hypertension – <200,000-10,000 Juvenile Rheumatoid Arthritis (150,000) – <10,000-1,000 Pompe Disease (7,300) – <1,000 N-acetylglutamate Synthase Deficiency (<200?)
  • 10. 10 Orphan Development Paradox Ironically, given the small absolute number of subjects that are studied in an orphan product development program, relative to the TOTAL size of the population the number of subjects studied is actually a high percentage. Thus, our understanding of the drug: disease interplay is quite high. Thus we CAN (and MUST) do MORE with LESS by using advanced tools. Photo by kazuend on Unsplash
  • 12. 12 Personalized Medicine & Personalized Genomics • Personalized medicine uses traditional, as well as emerging concepts of the genetic and environmental basis of disease to individualize prevention, diagnosis and treatment. • Personalized genomics builds on principles established by the integration of genetics into medical practice. • Principles shared by genetic and genomic aspects of medicine, include the use of variants as markers for diagnosis, prognosis, prevention, as well as targets for treatment. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3128266/
  • 13. 13 Clinical Pharmacology and Precision Medicine • Clinical Pharmacology as a science encompasses both classical pharmacokinetics (drug measurement in the body) but also the internal (INTRINSIC) and external (EXTRINSIC) factors that cause variability in drug response (both safety and efficacy). • Precision Medicine MUST encompass the tools and science of Clinical Pharmacology to allow right drug for right patient. • For Rare Diseases successful programs have to incorporate these concepts at the patient and molecular level. Huang S-M, Temple R, Clin Pharmacol Ther. 2008
  • 14. 14 Personalized Medicine in the Age of Biomarkers
  • 16. 16
  • 17. 17 Regulatory Challenge • Orphan drugs held to same evidentiary standard as non- Orphan drugs • To be approved in US, Orphan drugs must: – Demonstrate substantial evidence of effectiveness/clinical benefit (21CFR 314.50) – Substantial evidence of benefit requires: • Adequate and well-controlled clinical study(ies) – designed well enough so as to be able “to distinguish the effect of a drug from other influences, such as spontaneous change…, placebo effect, or biased observation” (§314.126)
  • 18. 18 Challenges in Orphan Drug /Rare Disease Drug Development • Large heterogeneity in disease pathophysiology • Poorly understood natural histories and progression • Few patients are available conducting clinical trials • Uncertain appropriate duration of treatment • Lack appropriate endpoints that predict outcomes • Large heterogeneity in treatment effects • Require compromise, innovation and trade-offs • Make difficult decisions in absence of ideal information Proper deployment of Clinical Pharmacology in orphan drug development can extract the most amount of knowledge from least amount of information
  • 20. 20 Increased Understanding and A Long Way To Go http://www.ctsi.umn.edu/sites/ctsi.umn.edu/files/chris-austin-ncats-presentation-umn-10.21.14.pdf
  • 21. 21 The Standard Phases of Drug Development (or the growth of patient involvement) Building Clinical Pharmacology INTO A Development Program
  • 22. 22 Learn and Confirm Vs Identify, Confirm, Refine, and LEARN • Knowledge Management – Leveraging information • Biomarker Qualification • Disease History • Innovative Trial Designs – Moving away from the “2 replicate trials” standard • Innovative Analysis – Pharmacometrics • Modeling and Simulation – Pharmcogenomics • Patient Factors – Pharmacovigilance
  • 23. 23 Quantitative Tools During Drug Development Tools Decisions Target ID ADME, Biomarkers, POC, Dose, Efficacy, Safety, Approval, Labeling Safety, New Indication Process Pre-IND EOP2A EOP2 NDA/BLA Quantitative ModelsMechanistic Empirical Innovative Designs
  • 24. 24 Linkage of Patient Factors to PK and PD
  • 26. 26 Beyond the Randomized Clinical Trial N Engl J Med 2017;377:465-75. DOI:10.1056/NEJMra1614394
  • 27. 27 The Future • It is easy to say that we are on the edge of a revolution in drug development – We have ALWAYS been on the EDGE! – Only the tools and our perspective of them have changed • Patient INVOLVEMENT is also shaping orphan drug development – Defining expectations – Advocacy for new methods and policies
  • 28. 28 Communicating the Future • While we rightly focus on the population, we must not lose sight of the individual patient and the individual physician, nurse, and pharmacist as well – Biomarkers can allow us to link the patient, their genetics, the ontology of the disease, and the healthcare system into a “holistic” treatment approach – Biomarkers can spur innovation and extrapolation thru re- purposing of old drugs into underserved populations • Only by selecting the right biomarkers and identifying the proper dose for the patient population can we make “every patient count” as every patient is a teaching opportunity for us and an opportunity for that one patient as well
  • 29. 29 Combining the Workstreams and Implementation Biomarker Selection Utilize in vitro and in vivo systems to probe and qualify biomarkers PBPK Modeling Build models based on observed knowledge with a “learn and confirm” strategy. Classical PK/PD Synthesize the available PK/PD data on Drug Metabolism Develop Actionable Information Informed labeling for the prescriber Pharmacogenomics Utilize in vitro systems to identify relevant genetic factors to enhance patient safety and selection Patient Selection Understand the pathology of the disease to select the needed diversity in the affected population PATIENT ENGAGEMENT Feedback on needs and expectations
  • 30. 30 Development of Safe and Effective Drugs Requires a Team Effort 30 Academia Industry International Collaboration Patient Advocacy Good Science & Policy Benefits To All
  • 31. 31 Contact Information CAPT Edward D. Bashaw, PharmD. Director, Div. of Clinical Pharmacology-3 US FDA 10903 New Hampshire Ave Building 51, Rm 3134 Edward.Bashaw@fda.hhs.gov
  • 32. 32 Acknowledgements • The Staff of the Division of Clinical Pharmacology-3 • The Office of Clinical Pharmacology • The Office of Translational Sciences • The International and Chinese Organization for Rare Disease

Editor's Notes

  1. 23