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Biomarker Integration




   Opportunities and Challenges of Accelerated
          Proof-of-Concept Studies in
          Neurodegenerative Diseases
Thierry Sornasse, Ph.D.
Translational Medicine, Biomarker Integration,
Elan Pharmaceuticals, Inc.

                                    10/06/2010
Background
Accelerated Proof-of-Concept

            Diagnosis

                                                            Earlier GO / No GO
Disease Stratification   Right population


                 Risk
                                         Targeted Shorter    Faster entry to
                                             Smaller            Phase 3
     Toxicodynamics                          Phase 2


  Pharmacodynamics       Sensitive end points               Higher chance of
                                                                success

 Disease Progression




                          Integrated Biomarker Strategy
Biomarker Strategy: parallel development

                    Discovery                          Nonclinical Dev.                 Early Clinical Dev.
Target                                 Candidate                           IND                              Phase 2

Drug – Target Interaction: Engagement, Pharmacodynamics & Toxicodynamics
                    POC in Animal             Characterization in Animal
 Concepts
              Prototype NC Method          Defined  Validated NC Method

                                                                                   POC in Human          Application
                                                           Prototype C Method
                                                                                 Defined C Method      Validated C Method


Disease State and Progression

   Assumptions                             Nonclinical Translation
   Requirements
                                                                           Candidate     Technical         POC in
                        Gap Analysis    Pre-Competitive initiatives        Biomarker     Feasibility       Human
   Current assets                          Internal Clinical Studies
Challenges
The Neurodegenerative Diseases Challenge
                                                                    US Population over 65
             Aging population




                                              % Population
Increase in the prevalence and incidence of
Alzheimer’s disease and Parkinson’s disease



      NO disease modifying therapies




                                              Individuals (1,000)
        Major unmet medical need
   Potential for a major economical and
              societal burden
The Alzheimer’s Disease Challenge

  A neurodegenerative disease characterized by progressive decline of
                memory and other cognitive abilities


         2010                           2030                            2050

 ~5.3 million patients         ~7.7 million patients           ~13 million patients
 ~450,000 new cases             ~615,000 new cases              ~960,000 new cases
  $172 billion/year cost
7th leading cause of death

                    Cause of death
                    • AD increased by 46% between 2000 and 2006
                    • During the same period, stroke, colon cancer, breast
                      cancer and heart disease decreased
Disease Modifying Therapy Challenge
        Alzheimer’s Disease Progression   Standard clinical end points
                                          • Applicable to clinical stage only
                                           Not ideal for the development of
                                            disease modifying therapies

                                          • Relatively insensitive
                                           Long study duration (~ 18 mo.)
                                           Large cohorts




                                          Improved end points
                                          • Disease state biomarkers
                         Clinical stage    Identify patients prior to clinical
                                            onset
               Disease modifying
Drugs                                     • Disease progression biomarkers
                            Symptomatic    Higher sensitivity
                                           Shorter studies – fewer patients
Opportunities
Alzheimer’s Disease Neuroimaging Initiative (ADNI)

                                       Subjects
                                       • 200 NORMAL 3 yrs
                                       • 400 MCI 3 yrs
                                       • 200 AD 2 yrs
                                       • Visits every 6 months
                                       Standardized procedures
                                       • Clinical, blood, cerebrospinal fluid
                                       • Cognitive Tests
                                       • 1.5T MRI

                                       Special procedures (subset)
                                       • 3.0T MRI (25% sites)
                                       • FDG-PET (50% sites)
                                       • PiB-PET (approx 100)
        57 Clinical Sites


     Focus on biomarker qualification through standardization
          Open access to 6 years of data (2004 – present)
ADNI Imaging Biomarkers

                                  Amyloid accumulation
                                   NC                    MCI               AD
Alzheimer’s Disease Progression



                                  [11C] PIB PET

                                   Neuron dysfunction (glucose uptake)
                                  NC              AD




                                   Brain atrophy
                                   NC                   AD




                                  12-months change in cortical thickness
Amyloid Accumulation Biomarker
                                                Cerebrospinal fluid Amyloid                                      42 fragment

                   Identification: 1995                                     Characterization: 1998                         Qualification: 2010

                                                                                                                    NC 206 ± 55
                                                                                                                          N = 100
                         P < 0.0001
                                                                                                           AD
                                                                                                           NC                             222 ± 60
                                                        CSF A 42 (pg/mL)
CSF A 42 (pg/mL)




                                                                                                                                           N=5
                                                                                                                          163 ± 55        174 ± 59
                                                                                                                    MCI
                                                                                                                          N = 195          N = 111
                                                                                                                                     144 ± 37   145 ± 43
                                                                                                                                      N = 37     N = 42
                                                                                  0          1         2
                                                                                                                                        12      12–36
                          AD        NC       OND                                                                          144 ± 41
                         N=37      N=20      N=32                                  N Apo 4 Alleles                  AD N = 100
                    Motter et al. Ann. Neurol. 38:643                      Galasko et al. Arch. Neurol. 55:937
ADNI Biomarkers: impact on POC studies
• Disease state (MCI  AD)
    CSF A 42 & P-Tau levels
    Early AD patient enrichment
    Targeted POC studies


• Disease progression                 Population size required to detect 25%
                                    change over 12 months with 80% confidence
    Volumetric MRI                          End Point                N
    Greatly enhanced sensitivity          ADAS-COG 11               814
    Smaller / faster POC             MRI Hippocampal Volume         252



• Expanded disease progression
    Functional imaging (FGD-PET, fMRI)
    Data enrichment
    Informative POC
The Parkinson Progression Markers Initiative (PPMI)

       Expanding the ADNI model to Parkinson’s disease biomarker research

                                 Subjects (target)
                                 • 200 age- and gender matched healthy controls
                                 • 400 de novo PD subjects
  Government agencies            • 3 to 5 year follow up
                                 Procedures
    PD Foundations               •   Motor & neuropsychiatric assessment
                                 •   MRI & DaTSCAN
                                 •   Olfaction
        Industry
                                 •   Blood, CSF, and DNA collection

 19 sites (15 US + 4 EU)



          Focus on biomarker discovery and initial qualification
                         Open access to data
Drug – Target Interaction (DTI) Biomarkers

               Nonclinical        Translation         Clinical

                               Target    Off-target
                             engagement engagement

                                                                 PK/PD Model
Pharmacology                  Proximal    Proximal
                                 PD          TD                    Context
 Toxicology
                                                                 Connectivity
                               Distal      Distal
   DMPK                                                          Confounding
                                PD          TD
                                                                   factors



                              Activity    Toxicity

                             Positive    Negative
Summary
Translation Research                     Open Collaborations


  DTI Biomarkers                         Disease Biomarkers
                       Accelerated POC


               Reduced Development Time


                         New Drugs


        Impact of Neurodegenerative Diseases


  Aging Population                        Standard of Care

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T Sornasse Elan Chi Accelerating Proof Of Concept 2010

  • 1. Biomarker Integration Opportunities and Challenges of Accelerated Proof-of-Concept Studies in Neurodegenerative Diseases Thierry Sornasse, Ph.D. Translational Medicine, Biomarker Integration, Elan Pharmaceuticals, Inc. 10/06/2010
  • 3. Accelerated Proof-of-Concept Diagnosis Earlier GO / No GO Disease Stratification Right population Risk Targeted Shorter Faster entry to Smaller Phase 3 Toxicodynamics Phase 2 Pharmacodynamics Sensitive end points Higher chance of success Disease Progression Integrated Biomarker Strategy
  • 4. Biomarker Strategy: parallel development Discovery Nonclinical Dev. Early Clinical Dev. Target Candidate IND Phase 2 Drug – Target Interaction: Engagement, Pharmacodynamics & Toxicodynamics POC in Animal Characterization in Animal Concepts Prototype NC Method Defined  Validated NC Method POC in Human Application Prototype C Method Defined C Method Validated C Method Disease State and Progression Assumptions Nonclinical Translation Requirements Candidate Technical POC in Gap Analysis Pre-Competitive initiatives Biomarker Feasibility Human Current assets Internal Clinical Studies
  • 6. The Neurodegenerative Diseases Challenge US Population over 65 Aging population % Population Increase in the prevalence and incidence of Alzheimer’s disease and Parkinson’s disease NO disease modifying therapies Individuals (1,000) Major unmet medical need Potential for a major economical and societal burden
  • 7. The Alzheimer’s Disease Challenge A neurodegenerative disease characterized by progressive decline of memory and other cognitive abilities 2010 2030 2050 ~5.3 million patients ~7.7 million patients ~13 million patients ~450,000 new cases ~615,000 new cases ~960,000 new cases $172 billion/year cost 7th leading cause of death Cause of death • AD increased by 46% between 2000 and 2006 • During the same period, stroke, colon cancer, breast cancer and heart disease decreased
  • 8. Disease Modifying Therapy Challenge Alzheimer’s Disease Progression Standard clinical end points • Applicable to clinical stage only  Not ideal for the development of disease modifying therapies • Relatively insensitive  Long study duration (~ 18 mo.)  Large cohorts Improved end points • Disease state biomarkers Clinical stage  Identify patients prior to clinical onset Disease modifying Drugs • Disease progression biomarkers Symptomatic  Higher sensitivity  Shorter studies – fewer patients
  • 10. Alzheimer’s Disease Neuroimaging Initiative (ADNI) Subjects • 200 NORMAL 3 yrs • 400 MCI 3 yrs • 200 AD 2 yrs • Visits every 6 months Standardized procedures • Clinical, blood, cerebrospinal fluid • Cognitive Tests • 1.5T MRI Special procedures (subset) • 3.0T MRI (25% sites) • FDG-PET (50% sites) • PiB-PET (approx 100) 57 Clinical Sites Focus on biomarker qualification through standardization Open access to 6 years of data (2004 – present)
  • 11. ADNI Imaging Biomarkers Amyloid accumulation NC MCI AD Alzheimer’s Disease Progression [11C] PIB PET Neuron dysfunction (glucose uptake) NC AD Brain atrophy NC AD 12-months change in cortical thickness
  • 12. Amyloid Accumulation Biomarker Cerebrospinal fluid Amyloid 42 fragment Identification: 1995 Characterization: 1998 Qualification: 2010 NC 206 ± 55 N = 100 P < 0.0001 AD NC 222 ± 60 CSF A 42 (pg/mL) CSF A 42 (pg/mL) N=5 163 ± 55 174 ± 59 MCI N = 195 N = 111 144 ± 37 145 ± 43 N = 37 N = 42 0 1 2 12 12–36 AD NC OND 144 ± 41 N=37 N=20 N=32 N Apo 4 Alleles AD N = 100 Motter et al. Ann. Neurol. 38:643 Galasko et al. Arch. Neurol. 55:937
  • 13. ADNI Biomarkers: impact on POC studies • Disease state (MCI  AD)  CSF A 42 & P-Tau levels  Early AD patient enrichment  Targeted POC studies • Disease progression Population size required to detect 25% change over 12 months with 80% confidence  Volumetric MRI End Point N  Greatly enhanced sensitivity ADAS-COG 11 814  Smaller / faster POC MRI Hippocampal Volume 252 • Expanded disease progression  Functional imaging (FGD-PET, fMRI)  Data enrichment  Informative POC
  • 14. The Parkinson Progression Markers Initiative (PPMI) Expanding the ADNI model to Parkinson’s disease biomarker research Subjects (target) • 200 age- and gender matched healthy controls • 400 de novo PD subjects Government agencies • 3 to 5 year follow up Procedures PD Foundations • Motor & neuropsychiatric assessment • MRI & DaTSCAN • Olfaction Industry • Blood, CSF, and DNA collection 19 sites (15 US + 4 EU) Focus on biomarker discovery and initial qualification Open access to data
  • 15. Drug – Target Interaction (DTI) Biomarkers Nonclinical Translation Clinical Target Off-target engagement engagement PK/PD Model Pharmacology Proximal Proximal PD TD Context Toxicology Connectivity Distal Distal DMPK Confounding PD TD factors Activity Toxicity Positive Negative
  • 16. Summary Translation Research Open Collaborations DTI Biomarkers Disease Biomarkers Accelerated POC Reduced Development Time New Drugs Impact of Neurodegenerative Diseases Aging Population Standard of Care