establishing a testing strategy for a qbd development product mary cromwell director, protein...
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Establishing a Testing Strategy
for a QbD Development Product
Mary Cromwell
Director, Protein Analytical Chemistry
Genentech
CMC Strategy Forum
July 20, 2010
Bethesda, MD
A-MAb Case Study: Elements of the Control Strategy
Raw Material Control
Procedural Controls
Process Parameter Controls
In-Process Testing
Specifications (Lot Release and Stability)
Characterizationand Comparability Testing
Process Monitoring
Process Control
Testing
Continual Process Verification
Today’s Discussion
Key Tools and Information Used to Develop a Testing Strategy for a QbD Product
CQA Identification
CQA Acceptance Criteria
Testing Strategy
Process Impact Score
Stability Impact Score
Testing StrategyRobustness Assessment
QA Impact Score
QA Uncertainty Score
Decision TreeRRF
TableQA Specific
Tim
e, In
form
atio
n
CQA Identification
CQA Acceptance Criteria
Testing Strategy
Process Impact Score
Stability Impact Score
Testing StrategyRobustness Assessment
QA Impact Score
QA Uncertainty Score
Decision TreeRRF
TableQA Specific
CQA Identification
CQA Acceptance Criteria
Testing Strategy
Process Impact Score
Stability Impact Score
Testing StrategyRobustness Assessment
QA Impact Score
QA Uncertainty Score
Decision TreeRRF
TableQA Specific
Decision TreeRRF
Decision TreeRRF
TableQA Specific
TableQA Specific
Tim
e, In
form
atio
n
Quality Attribute Impact Score
1 Based on a relevant potency assay and dependent on assay variability2 Based on serum exposure (AUC) or FcRn binding. PD considered if information available3 Based on effects observed in clinical studies
Impact &
Rating
Biologica
l Activity1PK2 Immunogenicity3
Safety3
(Potential or Observed)
Very High
(20)
>100%
change
>40% change
on PK
ATA (Anti-Therapeutic
Antibodies) detected that may
life threatening
Irreversible or life-
threatening AEs and/or life
threatening loss of efficacy
High
(16)
40-100%
change
20-40%
change with
impact on PD
ATA detected that may be
associated with non-life
threatening loss of efficacy
Reversible AEs and/or loss
of efficacy that is not life
threatening
Moderate
(12)
20-40%
change
20-40%
change with
no impact on
PD
ATA detected with effect that can
be managed by clinical treatment
(i.e. dose titration, medication,
etc.)
AE that can be managed by
clinical treatment (i.e. dose
titration, medication, etc.)
Low
(4)
<20%
change
<20% change
with no
impact on PD
ATA detected with effect on PK
or PD, but no effect on safety or
efficacy
Safety or efficacy effect
with minimal clinical
significance
None (2)No
change
No impact on
PK or PD
ATA not detected or ATA
detected with no effect on PK,
PD, safety, or efficacy
No effect on safety of
efficacy
P. Motchnik
CQA Acceptance Criteria (CQA-AC) and Target Ranges (CQA-TR)
• CQA-AC: – Numerical limits that must be met for the product to be
considered acceptable
– Based on non-clinical and clinical experience, platform knowledge and literature (with appropriate justification of applicability of data used)
– Based on patient impact only - process capability is not considered
– May change as product gains more clinical experience, not as a function of additional manufacturing experience
• CQA-TR:– Constrained range of the CQA-AC to ensure that the process
will always deliver product within the CQA-AC
Attribute Testing Strategy Risk Ranking and Filtering Tool
Quality Attribute
Impact Score
Process or Stability Impact Score
X == ATS (1)
(1) Attribute Testing Strategy
Performed for:• DS manufacturing process• DP manufacturing process• DS storage• DP storage
2, 4, 12, 16, 20 1, 2, 4, 10 2-200
Defines Testing Strategy:• No Testing• “Comparability and Monitoring”• Control System (Release, Stability, and/or In-Process)
Process Impact Scoring Decision Tree: Used for DS and DP Manufacturing Processes
PC/PV Outcome
Start: For each Quality Attribute
Process ImpactScore = 2
Process ImpactScore = 4
Process ImpactScore = 10
Difference:Actual Result to
CQA-TR
Highly RobustDefault
representativeprocess
model exists
No
Yes
QA Impact Score
of 2 or 4
Abundance0-1%*
*specific for product-related impurities; for HMWS, Abundance threshold is <0.1%
Process ImpactScore = 4
Process ImpactScore = 1
Yes
No
Process ImpactScore = 10
No
Yes
N. McKnight
Stability Impact Scoring Decision Tree
Start: for each Quality Attribute
Can moleculeform attribute?
Process ImpactScore = 1
Rate of changerelative to CQA-AC
Process ImpactScore = 10
Process ImpactScore = 2
Process ImpactScore = 4
No
Yes
Slow Fast
Moderate
R. Wong
(< 11%*) (>33%*)
(11-33%*)*of allowable range;Assessed to expiry at recommendedstorage temperature and for allowableexcursions
Attribute Testing Score: Defines Testing Strategy
Attribute Testing Strategy (ATS) Scoring Matrix
CQA Impact Score
Process or Stability Impact Score
2
(Very Low) 4
(Low) 12
(Moderate) 16
(High) 20
(Very High)
1 2a 4a 12 16 20
2 4a 8a 24 32 40
4 8 16 48 64 80
10 20a 40a 120 160 200
ATS Score:
< 21 No testing required.
21-50 Comparability and Process Monitoring testing required.
> 50 Control system testing required.
“Comparability and Monitoring” (CaM)
• Attribute class to be tested as part of:
• Comparability exercises– Performed to support site transfer, version changes, scale changes– Provides streamlined testing
>Testing includes appropriate (DS or DP) tests designated “CaM” in the Testing Strategy as
well as Control System testing (IP, Lot Release, Stability)
>Choice of tests based on risk associated with change; only CaM attributes known to be
impacted by particular step that is changing will be tested
• Process Monitoring– Continuous Process Verification
>Subset of CaM attributes
>Frequency of monitoring may be attribute dependent
>Control System testing
>Key Performance Indicators
Application of Attribute Testing Strategy Tool
MAb 1: Background
• Target Product Profile• Immunology indication• Drug will be administered IV monthly for six months• Doses up to 5X of proposed marketed dose given in clinical trials• Very low immunogenicity rate• Safety profile well established
• Product characterization• Effector function required for potency
– CDC (terminal galactose distribution)– ADCC (afucosylation)
• CDR deamidation, fragmentation, aggregation impact potency– Deamidation increases ~ 6% on DP storage (allowable range = 9%)– Fragmentation increases ~1% on DP storage (allowable range = 5.8%)– Aggregation does not change on storage of DS or DP
ATS for Acidic VariantsParameter Rationale
CQA Impact Score 12 Based on potency impact in CDC and ADCC assays
CQA Acceptance Criteria 45% Based on level required to maintain potency 80%.
CQA Target Range for DS Process
34% Based on level required to ensure that DP meets acceptance criterion at end of shelf life
DS Process 10 Worst-case conditions across all operations result in a batch that exceeds the CQA-TR; Restriction Relationship and Adaptive Design Space employed
DP Process 4 Changes during ambient handling and excursions
DS Stability 2 No changes observed throughout development
Process Impact Scores
DP Stability 10 Significant changes observed over shelf life and during excursions
Testing Strategy (CQA Impact score X Process Stability Impact score)
DS Process 120 Control system testing
DP Process 48 “Comparability and Monitoring” testing
DS Stability 24 “Comparability and Monitoring” testing
Attribute Testing Strategy Scores
DP Stability 120 Control system testing
ATS for CHOP (Application to Process-Related Impurities)
Parameter Rationale
CQA Impact Score 20 Based on potential for Immunogenicity
CQA Acceptance Criteria ≤ 25 ppm Based on dosing at 5x proposed to-be-marketed dose with no difference in observed ATA incidence
CQA Target Range for DS Process
≤ 23 ppm Truncated standard 5% CQA-AC reduction.
DS Process 2 Highly robust
DP Process 1 Will not involve cells
DS Stability 1 Will not change on stability Process Impact Scores
DP Stability 1 WIll not change on stability
Testing Strategy (CQA impact score X process/stability impact score)
DS Process 40 “Comparability and Monitoring” testing
DP Process 20
DS Stability 20
Attribute Testing Strategy Scores
DP Stability 20
No testing
ATA anti-therapeutic antibodies; CDC complement-dependent cytotoxicity; CQA Critical Quality Attribute; CQA-TR Critical Quality Attribute Target Range; DS Drug Substance; DP Drug Product; NA not applicable.
ATS for Fragmentation (application of Abundance Filter)
Parameter Rationale
CQA Impact Score 20 Based on potency impact in CDC and ADCC assays; altered PK
CQA Acceptance Criteria 5.8% Fab Ensures acceptable potency and PK
CQA Target Range for DS Process
NA Abundance of 1% indicates that establishing a target range is not required.
DS Process 1 Abundance <1%
DP Process 1 Abundance < 1%
DS Stability 2 No changes observed throughout development Process Impact Scores
DP Stability 4 Change of ~1% observed during recommended storage/allowable excursions
Testing Strategy (CQA impact score X process/stability impact score)
DS Process 20
DP Process 20
No testing
DS Stability 40 “Comparability and Monitoring” testing
Attribute Testing Strategy Scores
DP Stability 80 Control System testing required
ADCC antibody-dependent cellular cytotoxicity; CDC complement-dependent cytotoxicity; CQA Critical Quality Attribute; DS Drug Substance; DP Drug Product; NA not applicable; PK pharmacokinetics; NA = Not applicable.
ATS for Afucosylation (Stability)
Parameter Rationale
CQA Impact Score 20 Based on potency impact in ADCC assay
CQA Acceptance Criteria 1.6-12.1% Based on clinical experience and levels to maintain ADCC potency
CQA Target Range for DS Process
1.7-11.5% Standard 5% CQA-AC reduction applied to both limits
DS Process 10 Significant process variability observed
DP Process 1 Will not be impacted by DP Processing
DS Stability 1 Will not change on stability Process Impact Scores
DP Stability 1 Will not change on stability
Testing Strategy (CQA impact score X process/stability impact score)
DS Process 200 Control system testing
DP Process 20
DS Stability 20
Attribute Testing Strategy Scores
DP Stability 20
No testing
ADCC antibody-dependent cellular cytotoxicity; CDC complement-dependent cytotoxicity; CQA Critical Quality Attribute; DS Drug Substance; DP Drug Product; NA not applicable.
Key Tools and Information Used to Develop a Testing Strategy for a QbD Product
CQA Identification
CQA Acceptance Criteria
Testing Strategy
Process Impact Score
Stability Impact Score
Testing StrategyRobustness Assessment
QA Impact Score
QA Uncertainty Score
Decision TreeRRF
TableQA Specific
Tim
e, In
form
atio
n
CQA Identification
CQA Acceptance Criteria
Testing Strategy
Process Impact Score
Stability Impact Score
Testing StrategyRobustness Assessment
QA Impact Score
QA Uncertainty Score
Decision TreeRRF
TableQA Specific
CQA Identification
CQA Acceptance Criteria
Testing Strategy
Process Impact Score
Stability Impact Score
Testing StrategyRobustness Assessment
QA Impact Score
QA Uncertainty Score
Decision TreeRRF
TableQA Specific
Decision TreeRRF
Decision TreeRRF
TableQA Specific
TableQA Specific
Tim
e, In
form
atio
n
Robustness Assessment of Testing Strategy
• Testing Strategy Tool used to develop the proposed Control System• Is proposed testing strategy of sufficiently low risk?• Do proposed methods provide adequate control?
• Robustness Assessment Tool considers• ATS score (reflecting CQA Impact and Process/Stability control)• Sensitivity of method used for analysis• Testing Strategy (Control System, “CaM”, no testing)
• Expected to be iterative process: Unacceptable score indicates that• Testing strategy may need to change• A more sensitive method may be required for testing attribute• Manufacturing process may need to provide greater process control• Shelf-life/allowable excursions may need to be shortened
Robustness Assessment of Testing Strategy
Attribute Testing Score
X TestingStrategy Score
= RobustnessScore
2-200 2, 4, 6, 10 4 - 2000
LR Lot release; IP In-Process.
No testing 10
The attribute is monitored directly, collectively, or via a surrogate assay ONLY during “Comparability and Monitoring” testing.
6
The impact of an attribute is measured in a surrogate assay, is measured collectively, or is measured directly with a relatively insensitive assay (IP or LR/Stability).
4
Attribute is measured directly with a suitably sensitive assay (IP or LR/Stability).
2
DescriptionScore
Testing Strategy Scoring for Robustness Assessment RRF
LR Lot release; IP In-Process.
No testing 10
The attribute is monitored directly, collectively, or via a surrogate assay ONLY during “Comparability and Monitoring” testing.
6
The impact of an attribute is measured in a surrogate assay, is measured collectively, or is measured directly with a relatively insensitive assay (IP or LR/Stability).
4
Attribute is measured directly with a suitably sensitive assay (IP or LR/Stability).
2
DescriptionScore
Testing Strategy Scoring for Robustness Assessment RRF
Score </= 400 indicates Robust Control Strategy
Robustness Assessment for Afucosylation: Glycan Assay
• Control of afucosylation by CE-glycan assay is ROBUST
Attribute Process ATS
Score Testing Strategy
Test Method
Testing Strategy
Score Robustness
Score Assess-
ment
DS Process
200 Control System
2 400
DP Process
20 No testing 10 200
DS Stability
20 No testing 10 200
Afucosyl-ation
DP Stability
20 No testing
CE Glycan Assay
10 200
Robust
ATS Attribute Testing Strategy; CE capillary electrophoresis; DP Drug Product; DS Drug Substance.
Robustness Assessment for Afucosylation: ADCC Potency Assay
• Control of afucosylation by ADCC potency assay isNOT ROBUST
• high impact CQA• low process control
Attribute Process ATS
Score Testing Strategy
Test Method
Testing Strategy
Score Robustness
Score Assess-
ment
DS Process
200 Control System
4 800 Not
Robust
DP Process
20 No testing 10 200
DS Stability
20 No testing 10 200
Afucosyl-ation
DP Stability
20 No testing
ADCC Potency
10 200
Robust
ATS Attribute Testing Strategy; CE capillary electrophoresis; DP Drug Product; DS Drug Substance.
Robustness Assessment: Size Variants
Attribute Process ATS
Score Testing Strategy Test Method
Testing Strategy
Score Robustness
Score Assess-
ment
DS Process
48 288
DP Process
24 144
DS Stability
24 144
Aggregates
DP Stability
24
Comparability and Monitoring
Size-Exclusion Chromatography
6
144
Robust
DS Process
12 No testing 10 120
DP Process
12 No testing 10 120
DS Stability
24 Comparability and Monitoring
6 144
Fragments
DP Stability
48 Control System
Size-Exclusion Chromatography
2 96
Robust
ATS Attribute Testing Strategy; DP Drug Product; DS Drug Substance.
Proposed Control System for MAb 1: Drug Product
In-Process Testing
Attribute Test Name
Sterility Product Sterility Test (USP method)
Bioburden Bioburden Testing of In-Process Samples
Endotoxin Standard Procedure for limulus Amebocyte Lysate (LAL) Assay
pH pH
Osmolalitya Osmolality
Polysorbate 20 Polysorbate Content
Protein Concentration UV Spec Scan Using Gravimetric Sample Preparation
CFU colony forming unit; UV ultraviolet visible.
a direct measure of osmolality, indirect measure of excipient concentrations
Proposed Control System for MAb 1: Drug Product
Attribute Test Name
Identity CZE
Appearance COC
Acidic Variantsa IEC
Size Variantsa SEC
Subvisible Particulatesa Particulate Analysis
Endotoxin (LAL) Endotoxin (LAL)
Sterility Sterility
Sterilitya Dye Leak Test
Biological Activitya CDC Potency
Fill Volume Volume in Container
Lot Release and Stability
CDC complement-dependent cytotoxicity; COC clarity, opalescence, and coloration; CZE capillary zone electrophoresis; IEC ion-exchange chromatography; LAL limulus amebocyte lysate; SEC size-exclusion chromatography. a Tests that will be performed on stability.
Comparability and Monitoring Testing: Drug Product
Attribute Robustness Score Detection by Control System
Assay for Drug Product?
Acidc Variants 288 CDC Potency Assay
Oxidation 384 CDC Potency Assay
Proposed Control System: MAb 1 Drug Substance
In Process TestingAttribute Test Name
Mycoplasma detection, culture method Mycoplasma
Mycoplasma detection, indicator cell/DNAF procedure
General Viral Screening Assay Virus
Rodent Parvovirus PCR
Bioburden Bioburden
Endotoxin Endotoxin (LAL)
Afucosylation (%G0F/% total G0)
CE-Glycan
pH pH
Osmolalitya Osmolality
Polysorbate 20 Polysorbate Content
Protein Concentration
UV Spec Scan
CE = capillary electrophoresis.a Direct measure of osmolality, indirect measure of excipient concentrations
Proposed Control System: Drug Substance
Lot Release and Stability
Attribute Test Name
Identity Peptide Map
Acidic variants Ion-Exchange Chromatography
Endotoxin (LAL) Endotoxin (LAL)
Sterility Sterility
Biological Activitya CDC Potency
a Test will be performed on stability.
Comparability and/or Monitoring Testing: Drug Substance
Attribute Robustness Score Detection by Control System Assay for Drug Substance?
Fragments (stability)a 240 (240) CDC Potency Assay, IEC
Acidic Variants (stability)a (240) CDC Potency Assay, IEC
CHOP 240 No
Reduced MAb 384 CDC Potency Assay
Leached Protein A 192 No
Glycan Distribution 288 CE-Glycan Assay
Non-glycosylated Heavy Chain 144 CDC Potency Assay
DNA 144 No
Aggregates 144 CDC Potency
Protein Conformation 240 CDC Potency, IEC
Approach Applied to a Second MAb
• MAb 2 Background• Binds to and blocks receptor on cell; effector function not required for MOA
• Oncology indication• Molecule is exceptionally stable; forced degradation studies cannot generate deamidation, oxidation, or glycation of CDR sites
–Limited number of CQAs requiring control–Therefore, limited number of CPPs to constrain Design Space
MAb 2 Proposed Control System
Attribute Test Name
Identity CZE
Appearance COC
Size Variantsa SEC
Subvisible Particulatesa Particulate Analysis
Endotoxin (LAL) Endotoxin (LAL)
Sterility Sterility
Sterilitya Dye Leak Test
Biological Activitya Potency
Fill Volume Volume in Container
Attribute Test Name
Identity Peptide Map
Endotoxin (LAL) Endotoxin (LAL)
Sterility Sterility
Biological Activitya Potency
Drug Substance CoA/Stability
Drug Product CoA/Stability
Summary
• Risk-based tools developed to define Testing Strategy and Control System• Utilizes knowledge of
– CQA Impact on potency, immunogenicity, safety, and PK/PD– Process Impact – Stability Impact– Specificity and Sensitivity of analytical method
• Assigns attributes to three categories of testing– Control System (Lot release, stability, in-process)– “Comparability and Monitoring”– No testing
• Robustness assessment for control of CQAs– Iterative process– Evaluates risk that control strategy is insufficient
Summary, continued…
• Use of filters in assessment of testing strategy• Abundance filter as part of Process Impact, not CQA ID• Default process impact score for low impact quality attributes
– Balances wide CQA Acceptance Criteria with potentially little process impact knowledge
Advantages of the QbD Approach to Developing a Control Strategy
• Clear, logical approach – applicable to all types of biologics
• Control Strategy development relies on significant process and product knowledge
• Clear rationale for selection of attributes to test and the type of testing strategy applied can lead to streamlined Control System testing
• Understanding impact of each process step to CQA levels leads to targeted testing for comparability
– Only test those attributes impacted by changed steps
Acknowledgements
Jerry DongLynn Gennaro Yung-Hsiang KaoParamjit KaurDaniel KelatiBrian KelleyLynne KrummenReed HarrisKathy HsiaRaquel IversonKim Latimer
Nadja Alt (Roche)Bernd Hilger (Roche)
Joseph MarhoulNathan McKnightPaul MotchnikDave ReifsnyderSofia RibeiroNatalie Saldou-HoltzCristina SanchezDieter SchmalzingRon TaticekPin-Yee WongRita Wong
MAb 1: Attributes that Require No Testing for Drug Substance
Attribute Robustness Score Detection by Control System Assay for Drug Substance?
Fragments (stability)a 240 (240) CDC Potency Assay, IEC
Acidic Variants (stability)a (240) CDC Potency Assay, IEC
CHOP 240 No
Reduced MAb 384 CDC Potency Assay
Leached Protein A 192 No
Glycan Distribution 288 CE-Glycan Assay
Non-glycosylated Heavy Chain 144 CDC Potency Assay
DNA 144 No
Aggregates 144 CDC Potency
Protein Conformation 240 CDC Potency, IEC
MAb 1: DS Testing Strategy for All Attributes
Control System Testing
Attribute Assay In-Process Lot Release Stability
Process Monitoring and Comparability
No Testing
Product-Related Variants
Afucosylated glycans
CE-glycan X
Glycan distribution CE-glycan X
Fragments SEC X
Aggregates SEC X
Acidic variants IEC X X
Non-glycosylated heavy chain
CE-SDS X
Oxidation (Trp and Met)
CDC Potency X X (stability)
Reduced MAb CE-SDS (NR) X
Protein Conformation
X
Cys22-Cys96 free thiol
X
N-terminal extension IEC X
C-terminal variants CZE X
Non-functional Region Deamidation
IEC X
Non-functional Region glycation
IEC X
MAb 1: DS Testing Strategy for All Attributes, cont’d
Process Related Impurities
Mycoplasma X
Rodent Parvovirus X
CHOP X
Leached Protein A X
DNA X
Bioburden Bioburden X X X
Endotoxin LAL X X X
Cell Culture and Purification Raw Materials
NMR, ICP X
Leachables GC-MS X
Control System Testing
Attribute Assay In-Process Lot
Release Stability
Process Monitoring and Comparability
No Testing
Statutory Requirements/Stability-Impacting Attributes
Identity Peptide Map X
Protein Concentration
UV Spec Scan X
Osmolality Osmolality X
pH pH X
Acetate Concentration
Osmolality X
Trehalose Concentration
Osmolality X
Polysorbate Concentration
Polysorbate 20 Content
X