A-Mab Case Study: Still A Few...

download A-Mab Case Study: Still A Few Challenges!!microsite.sartorius.com/.../03_Banerjee...learned_from_A-Mab_Study_0… · A-Mab Case Study: Still A Few Challenges!! Amit Banerjee, Ph.D

If you can't read please download the document

Transcript of A-Mab Case Study: Still A Few...

  • A-Mab Case Study:Still A Few Challenges!!

    Amit Banerjee, Ph.D

    Pfizer Inc

    1

  • Goal For Todays Presentation

    Brief recap of the A-Mab case study

    Implementation Challenges

    Current State

    Slide 2

  • A-Mab: a Case Study in Bioprocess Development

    CMC Biotech Working Group

  • Background and GoalTo create a case study that provides a guideline

    Started in August 2008

    Concluded in October 2010

    7 companiesGlaxoSmithKline, Abbott, Lilly, Pfizer, Genentech, MedImmune, Amgen

    John Berridge, Sam Venugopal, and Ken Seamon, co-facilitators

    Focused on science and risk-based approaches

    Slide 4

    To illustrate options to achieve enhanced product and process understanding

    Demonstrate Industrys vision for QbD as applied to biotech product

  • Creating a Biotech Case Study:A-Mab

    Why Monoclonal Antibody?

    Represents a significant number of products approved and in development

    Good product and process experience in development and manufacture

    Slide 5

    Based on a monoclonal antibody drug substance and drug product

    A-Mab

    Humanized IgG1IV Administered Drug (liquid)

    Expressed in Cho Cells

    Treatment of NHL

    Is freely available as a teaching tool for industry and agencies

  • Outline and Intent of Case Study

    ContentStructure

    Introduction

    Quality Attributes

    Upstream

    Downstream

    Drug Product

    Control Strategy

    Regulatory

    Intent

    Contains pieces/ sections that appear realistic and represent selected QbD principles

    Illustrates the benefits of a QbD development approach

    Information represents real data or appropriate fictitious data

    Not a mock CTD

    Not a Gold Standard

    Slide 6

  • Whats Next??

    7

  • From Theory to Practice!

    Critical Quality Attributes

    Risk Assessment Tools

    Design Space

    Critical Parameter Designation

    Control Strategy

    An evolution8

  • Target Product ProfileDrug substance properties; prior knowledge

    Proposed formulation and manufacturing process to meet desired product attributes

    Determination of Cause Effect relationships

    (Risk Identification with subsequent Risk Analysis)

    Risk-based classification (Risk Evaluation)

    Parameters to investigate (e.g. by DOE)

    FORMULATION DESIGN SPACE

    PROCESS DESIGN SPACE

    CONTROL STRATEGY

    Formulation understanding

    Proc

    ess

    unde

    rsta

    ndin

    g

    F. Erni EFPIA Working Group9

    A Road Map

  • Road Map for Process Understanding And Characterization

    QA3 CQA1

    QA5 CQA2

    PP4 CPP4?

    PP5 KPP5?

    PP1 CPP1?

    CriticalityOf PP

    Describe inS2/P2 Section

    Design SpaceCQA3 = f (KPP1, CPP4, KPP5 )

    CQA5 = f (CPP2, KPP5 )Criticality of QA

    PlanExecution

    (DOE, Models,SOS)

    QAQA

    QAQA QA

    QA QAQA

    QA1 associated with PP1,nQA2 associated with PP1,nQA3 associated with PP1,nQA4 associated with PP1,nQA5 associated with PP1,n

    RiskAssessment

    QA1 = f (PP2, PP3, PP6)QA2 = f (PP4)QA3 = f (PP1, PP4, PP5)QA4 = f (PP1, PP3, PP4, PP6)QA5 = f (PP2,KPP5)

    ?

    ?

    QA1 = f (PP2, PP3, PP6)QA2 = f (PP4)CQA3 = f (PP1, PP4, PP5)QA4 = f (PP1, PP3, PP4, PP6)CQA5 = f (PP2, PP5)

    QA1 = f (PP2, PP3, PP6)QA2 = f (PP4)CQA3 = f (KPP1, CPP4, KPP5)QA4 = f (PP1, PP3, PP4, PP6)CQA5 = f (CPP2, KPP5)

    C&E DOE/ExperimentalStrategy Output

    Knowledge Space

    Quality AttributeCriticality Assessment

    FMECA

    Con

    trol

    Str

    ateg

    y

    QTPP

    PP

    PP

    PP

    PPPP

    PP

    PP

    10

  • Align With Target Product Profile!

    Developability AssessmentUnderstand Safety, Immunogenicity and CMC risks

    Aid in Molecule Selection

    11

  • Quality Attributes and the Criticality Continuum

    12

    A-Mab Case Study (2009): http://www.casss.org/associations/9165/files/A-Mab_Case_Study_Version_2-1.pdf

    http://www.casss.org/associations/9165/files/A-Mab_Case_Study_Version_2-1.pdf

  • Process Understanding = Design Space?

    Risk Assessment Methodologies

    Equivalence of scale down models

    Multivariate DOE studies

    CPP and non-CPP designation

    Experience from clinical batches

    13

  • Comprehensive Control Strategy:Minimize Risk

    14Establishment of Quality Systems

  • Where Are We??FDA Pilot Program

    FDA approved Gazyva (!) including the QbD based control strategy and Design Space Nov 1, 2013. Lynne Krummen, Ph.D.

    VP, Global Head Roche Technical Regulatory, Biologics2013 ISPE Annual Meeting

    More to come????

    15

  • A Case Study for Vaccines?

    16

    Look at the impact of A-mAb case

    study!!Yes, of course, we must explore QbD for vaccine development!

  • CMC-Vaccine Working Group QbD Case Study

    17

  • Thank you for your attention!

    Questions??

    18

    A-Mab Case Study:Still A Few Challenges!!Goal For Todays PresentationA-Mab: a Case Study in Bioprocess DevelopmentBackground and GoalCreating a Biotech Case Study:A-MabOutline and Intent of Case StudyWhats Next??From Theory to Practice!Slide Number 9Slide Number 10Align With Target Product Profile!Quality Attributes and the Criticality ContinuumProcess Understanding = Design Space?Comprehensive Control Strategy:Minimize RiskWhere Are We??A Case Study for Vaccines?CMC-Vaccine Working Group QbD Case StudySlide Number 18