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Transcript of AMV final 20Jun17
Stephan O. Krause, PhDDirector, QA TechnologyAstraZeneca Biologics
PDA Biosimilar Conference (co-sponsored by PQRI)20-21 June 2016
Analytical Method Validation for Biosimilars
2
Outline
1) Review of strategic opportunities to reduce analytical method lifecycle steps for accelerated programs
- Analytical platform technology (APT) methods for Tier 2 category- Product and process characterization APT methods for Tier 3
category- APT conditions
2) Review of need for increased analytical method performance
- Difference(s) and challenges for Biosimilars - AMV acceptance criteria for Tier 1 and 2
2
The content and views expressed in this presentation by the author are not necessarily views of the
organization he represents.
3
4
Analytical Platform Technology (APT) Method
• An APT method is an analytical method used for multiple products and/or types of sample matrix without modification of the procedure.
• Similar to compendial methods, an APT method may not require full validation for each new product or sample type.
• A test method becomes an “approved” (APT) method when included in a marketing license application, and the license is approved.
4
5
Typical CQA Development, CMC Changes, and Specifications
From: Krause, S., WCBP, 30Jan13, Washington, DC.
FTIH POC BLA
Tox Studies Phase 1Phase 2
Phase 3
Clinical ResupplyMfg/Formulation Change(s)
Specifications Revision(s)
Negotiations, Final Commercial Specifications
QTPP
Final CQAs & Control Strategy Approval
Potential CQAsProduct & Process Design
Life-CycleManagement
POST-APPROVALCHANGES
PHASE 3PHASE 1/2Pre-IND
CQ
A D
evel
opm
ent
(QbD
Pro
cess
)Sp
ecs
Life
Cyc
le
Mgm
tC
MC
and
Tec
h Tr
ansf
er P
roce
ss Analytical
Manufacturing
Strategic or Tactical Changes
Method qualification
Dose change
Delivery Device
PQ lots
Setting of Initial Specifications
Specifications Revision(s)
Mfg Transfer
Method validation
Method transfer
Formulation Change Process Verification
Method Maintenance
Global Supply
Commercial Specifications
Accelerated CQA Development, CMC Changes, and Specifications
6
FTIH POC BLA
Tox Studies Phase 1Phase 3
Clinical ResupplyMfg/Formulation Change(s)
Specifications Revision(s)
Commercial Specifications Negotiations, Final
Commercial Specifications and/or Post-BLA
commitmens
QTPP
Final CQAs & Control Strategy Approval
Potential CQAsProduct & Process Design
Life-CycleManagement
POST-APPROVALCHANGESPIVOTAL PHASE (3)PHASE 1 Pre-IND
CQ
A D
evel
opm
ent
(QbD
Pro
cess
)Sp
ecs
Life
Cyc
le
Mgm
tC
MC
and
Tec
h Tr
ansf
er P
roce
ss Analytical
Manufacturing
Strategic or Tactical Changes
Method qualification
Dose change
Delivery Device
PQ lots
Setting of Initial Specifications
Mfg Transfer
Method validation
Method transfer
Formulation Change Process Verification
Method Maintenance
Global Supply
Method Change
Accelerated Development
From: Krause, S., CaSSS CMC Strategy Forum, 27Jan14, Washington, DC.
Accelerated CQA Development, CMC Changes, and Specifications
7From: Krause, S., CaSSS CMC Strategy Forum, 27Jan14, Washington, DC.
FTIH POC BLA
Tox Studies Phase 1Phase 3
Clinical ResupplyMfg/Formulation Change(s)
Specifications Revision(s)
Commercial Specifications
QTPP
Final CQAs & Control Strategy Approval
Potential CQAsProduct & Process Design
Life-CycleManagement
POST-APPROVALCHANGESPIVOTAL PHASE (3)PHASE 1 Pre-IND
CQ
A D
evel
opm
ent
(QbD
Pro
cess
)Sp
ecs
Life
Cyc
le
Mgm
tC
MC
and
Tec
h Tr
ansf
er P
roce
ss Analytical
Manufacturing
Strategic or Tactical Changes
Method qualification
Dose change
Delivery Device
PQ lots
Setting of Initial Specifications
Mfg Transfer
Method validation
Method transfer
Formulation Change Process Verification
Method Maintenance
Global Supply
Method Change
Accelerated Development
CompLots
PQ lots CompLots =
Accelerated CQA Development, CMC Changes, and Specifications
8From: Krause, S., CaSSS CMC Strategy Forum, 27Jan14, Washington, DC.
FTIH POC BLA
Tox Studies Phase 1Phase 3
Clinical ResupplyMfg/Formulation Change(s)
Specifications Revision(s)
Commercial Specifications
QTPP
Final CQAs & Control Strategy Approval
Potential CQAsProduct & Process Design
Life-CycleManagement
POST-APPROVALCHANGESPIVOTAL PHASE (3)PHASE 1 Pre-IND
CQ
A D
evel
opm
ent
(QbD
Pro
cess
)Sp
ecs
Life
Cyc
le
Mgm
tC
MC
and
Tec
h Tr
ansf
er P
roce
ss Analytical
Manufacturing
Strategic or Tactical Changes
Method qualification
Dose change
Delivery Device
PQ lots
Setting of Initial Specifications
Mfg Transfer
Method validation
Method transfer
Formulation Change Process Verification
Method Maintenance
Global Supply
Method Change
Accelerated Development
CompLots
PQ lots CompLots =
RP vs. BP (Tier 1-3)
Covered: RP vs. BP results
9
Analytical Method Selection
Pharmaceutical Development Supporting Studies:Process characterizationProduct characterizationProcess validation
Routine Testing (registered methods):Raw materialsIn-process Release Stability
Intended Use (defined)
AMD Studies
AMD Studies
AMQ ReportAMQ Report
Intended Use (re-defined)
AMV Report
IdentitySafetyPurity
QualityPotency
Quality Target Product Profile (QTPP)Critical Quality Attributes (CQA)
Critical Process Parameters (CPP)
Krause et al., PDA TR 57, 2012
Analytical Method Development
Analytical Method Development
10
Analytical Method Selection
Pharmaceutical Development Supporting Studies:Process characterizationProduct characterizationProcess validationTier 3 Analytical Similarity
Routine Testing (registered methods):Tier 1 Analytical SimilarityTier 2 Analytical Similarity Release/StabilityRaw materials
Intended Use (defined)
AMD Studies
AMD Studies
AMQ ReportAMQ Report
Intended Use (re-defined)
AMV Report
IdentitySafetyPurity
QualityPotency
Quality Target Product Profile (QTPP)Tier 1-3 Analytical Similarity
Critical Process Parameters (CPP)
Typical Analytical Method Lifecycle
11
DS/DPSpecificationTest Methods
for New Method
Robustness Studies Execution
QCDev.
AMVStudies
(QC-Comm.)
Start PV Stage 2(PQ Lots)
Completed
In progress
Not started
AMV completed
Maintenance(QC-Comm.)
Robustness Studies
Master Plan
AMT Studies
(QC-Dev. & QC-Comm.)
SOP-specific Min/Max Method
Conditions (for PB Design)
Commercial Specifications
Not Parallel Step
Process Color Legend:
Method Qualified
(SOP Lock)
Typical Analytical Method Lifecycle (=> BLA Submission)
12
DS/DPSpecificationTest Methods
for New Method
Robustness Studies Execution
QCDev.
AMVStudies
(QC-Comm.)
Start PV Stage 2(PQ Lots)
Completed
In progress
Not started
AMV completed
Maintenance(QC-Comm.)
Robustness Studies
Master Plan
AMT Studies
(QC-Dev. & QC-Comm.)
SOP-specific Min/Max Method
Conditions (for PB Design)
Commercial Specifications
Not Parallel Step
Process Color Legend:
Method Qualified
(SOP Lock)
Analytical Method Lifecycle APT Opportunities following AMV Study Completion and BLA Approval
13
DS/DPSpecification
Test Methods for Same SOP andNew Product
Robustness Studies Execution
QCDev.
AMVStudies
(QC-Comm.)
PQ Lots Mfg
Completed
In progress
Not started
AMV completed
MaintenanceAMM
(QC-Comm.)
Robustness Studies
Master Plan
AMT Studies
(QC-Dev. & QC-Comm.)
SOP-specific Min/Max Method
Conditions (for PB Design)
Commercial Specifications
Not Parallel Step
APT MethodAMV and AMM
(QC)
Analytical Platform Technology
APT Method
Robustness and AMT
Process Color Legend:
Method Qualified
(SOP Lock)
APT Method
AMQ
Krause, S., CDER/OBP Training Presentation, White Oak, MD, 28Sep15.
Analytical Method Lifecycle for Accelerated ProgramsAdditional APT Opportunities (also for Tier 3)
14
Qualification of Test Methods
Process and/or Product
Characterization
Representative Samples
Available (Dev.)
Execution Reqs: (1. IOQ Instrument)(2. Analyst Training)3. Final SOP version
QC Dev. or QC Comm.
Confirm Method
Suitability
Start PV Stage 2(PQ Lots)
Qualify (as relevant):A. Accuracy/MatchingB. Precision/Reliability
C. SpecificityD. DL or QL
Qualification Report(s)
Method Qualification Master Plan
Final PV Process Ranges and/or Analytical Control Strategy
APT (Reduced) Qualification Opportunity
Completed
In progress
Not started
AMV completed
Not Parallel Step
Analytical Platform Technology
Process Color Legend:
Krause, S., CDER/OBP Training Presentation, White Oak, MD, 28Sep15.
Typical Specifications and Test Methods for Drug Substance for Process Qualification (PV Stage 2)
15
Test / Specification
Analytical Method Status Typical Specifications for PQ Reported Results
Example
Appearance Compendia
Clarity: NMT EP RS III
Color: NMT Y5Particles: Free from or practically free from visible particles
Clarity: EP RS I
Color: Y7Particles: Free from visible particles
Total protein APT nominal value ± 10.0% 52.0 mg/mL
cIEF APTPeak pattern consistent with Reference StandardMonomer: NLT 65%
Total acidic peaks: NMT 30%
Peak pattern consistent with Reference Standard;Monomer: 72%
Total acidic peaks: 14%Target binding
bioassay Qualified / Validated N/A 98%
MOA-simulated bioassay Validated
90-120% (symmetrical) of Reference Standard binding
90-125% (geometrical) of Reference Standard binding98%
Reducing gel electrophoresis APT
Area percent purity of heavy + light chains: NLT 98.5%
Total area percent of impurities: NMT 1.5%
Area percent purity of heavy + light chains: 99.2%
Total area percent of impurities: 0.8%
Non-reducing gel electrophoresis APT
Major product peak: NLT 98.5%
Total area percent of impurities: NMT 1.5%
Major product peak: 99.2%;
Total area percent of impurities: 0.8%
HPSEC APTMajor product peak: NLT 98.3%;Aggregates: NMT 1.7%
Fragments: NMT 1.7%
Major product peak: 99.2.0%Aggregates: 0.5%
Fragments: 0.3%Host cell DNA APT LT 20 pg DNA/mg protein 2 pg DNA/mg proteinCHO host cell
protein APT NMT 20 ng/mg protein 2 ng/mg protein
Protein A APT NMT 10 ng/mg protein 1 ng/mg proteinBioburden Compendia NMT 10 CFU per 100 mL 0 CFU per 100 mL
Endotoxin (LAL) Compendia NMT 0.20 EU/mg protein 0.01 EU/mg protein
Brief Summary from OBP/CDER Presentation – White Oak (28Sep15)
16
• APT status can be extended to additional products if the test method remains essentially unchanged through proper use of change control.
• Similar to compendial method verification, “approved” test methods can be verified (versus validated) for use of additional products.
• Reduced method qualification and transfer studies could then be executed, provided the same sending and receiving units are used.
• For additional product license applications, the sponsor should resubmit the initial method validation study report together with product-specific verification results (and reports).
• For separation tests, an actual manufacturing batch should be used for test system control as test result drift and/or variation could be observed over time; degraded batch samples closer to the out-of-specification (OOS) level could provide better system suitability control, and they may also provide more confidence in the test results when results are close to the OOS level.
Krause, S., PDA Letter, May 2016Krause, S., PDA J Pharm Sci Tech, (TBD) 2016
17
Outline
1) Review of strategic opportunities to reduce analytical method lifecycle steps for accelerated programs
- Analytical platform technology (APT) methods for Tier 2 category- Product and process characterization APT methods for Tier 3 category- APT conditions
2) Review of need for increased analytical method performance
- Difference(s) and challenges for Biosimilars - AMV acceptance criteria for Tier 1 and 2
17
Typical Analytical Method and Specification Lifecycle(s)
18
AMVStudies
Start PV Stage 2(PQ Lots)
Maintenance (continuous
AMV)
AMT Studies
Commercial Specifications
Method Qualified
Pivotal/Phase 3 Specifications
Phase 1/2 Specifications
Specs covered in AM
V ?
From: Krause, S., PDA Journal of Pharmaceutical Science and Technology, Sep/Oct 2015.
Biosimilar Analytical Method and Specification Lifecycle(s)
19
AMVStudies
Analytical Similarity
Studies
Maintenance (continuous
AMV)
AMT Studies
(if needed)
PQ (PV Stage 2)Studies
Method Qualified
Pivotal/Phase 3 Specifications
Initial Specifications
Tier 1 Equivalence Tier 2 Quality Range
Tier 3 Methods
Proposed Commercial Specifications
Biosimilar Analytical Method and Specification Lifecycle(s)
20
AMVStudies
Analytical Similarity
Studies
Maintenance (continuous
AMV)
AMT Studies
(if needed)
PQ (PV Stage 2)Studies
Method Qualified
Pivotal/Phase 3 Specifications
Initial Specifications
Tier 1 Equivalence Tier 2 Quality Range
Tier 3 Methods
Proposed Commercial Specifications
AMVStage 2
AMVStage 3
Biosimilar Analytical Method and Specification Lifecycle(s)Use of APT Method Concept
21
AMVStudies
Analytical Similarity
Studies
Maintenance (continuous
AMV)
AMT Studies
(if needed)
PQ (PV Stage 2)Studies
Method Qualified
Pivotal/Phase 3 Specifications
Initial Specifications
Tier 1 Equivalence Tier 2 Quality Range
Tier 3 Methods
Proposed Commercial Specifications
APTVerification
Continuous methodverification (stage 3)
already ongoing
APTVerification
Not needed if SU and
RU unchanged
Typical Risk-Based AMV Acceptance Criteria
22
Specifications
Consider Type of
Specifications
Acceptance Criteria
Existing Knowledge
One-Sided Specifications(NMT, NLT, LT)
Two-Sided Specifications
(Range)
Regulatory Requirements
Historical Method
Performance
Historical Data from this
Product and Process
Knowledge from Similar Product and
Process
Krause et al., PDA TR 57, 2012.
Tier 1 and 2 Risk-Based AMV Acceptance Criteria
23
Available RP Lot Variation
and Mean
Consider Type of
Specifications
Acceptance Criteria
Existing Knowledge
One-Sided Specifications(NMT, NLT, LT)
Two-Sided Specifications
(Range)
Regulatory Requirements
Historical Method
Performance
Historical Data from this
Product and Process
Knowledge from Similar Product and
Process
Tier 1 and 2 Risk-Based AMV Acceptance Criteria
24
Available RP Lot Variation
and Mean
Consider Type of
Specifications
Acceptance Criteria
Existing Knowledge
One-Sided Specifications(NMT, NLT, LT)
Two-Sided Specifications
(Range)
Regulatory Requirements
Historical Method
Performance
Historical Data from this
Product and Process
Knowledge from Similar Product and
Process
Tighter AMV acceptance criteria neededfor Tier 1 or Tier 2
Tier 1 and 2 Risk-Based AMV Acceptance Criteria
25
Available RP Lot Variation
and Mean
Consider Type of
Specifications
Acceptance Criteria
Existing Knowledge
One-Sided Specifications(NMT, NLT, LT)
Two-Sided Specifications
(Range)
Regulatory Requirements
Historical Method
Performance
Historical Data from this
Product and Process
Knowledge from Similar Product and
Process
Tighter AMV acceptance criteria neededfor Tier 1 or Tier 2
Tier 1 equivalence or Tier 2 quality range
Tier 1 and 2 Risk-Based AMV Acceptance Criteria
26
Available RP Lot Variation
and Mean
Consider Type of
Specifications
Acceptance Criteria
Existing Knowledge
One-Sided Specifications(NMT, NLT, LT)
Two-Sided Specifications
(Range)
Regulatory Requirements
Historical Method
Performance
Historical Data from this
Product and Process
Knowledge from Similar Product and
Process
Tighter AMV acceptance criteria neededfor Tier 1 or Tier 2
Tier 1 equivalence or Tier 2 quality range
This part essentially goes away for AMV stage 2
Tier 1 and 2 Risk-Based AMV Acceptance Criteria
27
Available RP Lot Variation
and Mean
Consider Type of
Specifications
Acceptance Criteria
Existing Knowledge
One-Sided Specifications(NMT, NLT, LT)
Two-Sided Specifications
(Range)
Regulatory Requirements
Historical Method
Performance
Historical Data from this
Product and Process
Knowledge from Similar Product and
Process
Tighter AMV acceptance criteria neededfor Tier 1 or Tier 2
Tier 1 equivalence or Tier 2 quality range
This part essentially goes away for AMV stage 2
Critical review for APT methods performance (AMV stages 2 and 3)
Tier 1 and 2 Risk-Based AMV Acceptance Criteria
28
Available RP Lot Variation
and Mean
Consider Type of
Specifications
Acceptance Criteria
Existing Knowledge
One-Sided Specifications(NMT, NLT, LT)
Two-Sided Specifications
(Range)
Regulatory Requirements
Historical Method
Performance
Historical Data from this
Product and Process
Knowledge from Similar Product and
Process
Tighter AMV acceptance criteria neededfor Tier 1 or Tier 2
Tier 1 equivalence or Tier 2 quality range
This part essentially goes away for AMV stage 2
Critical review for APT methods performance (AMV stages 2 and 3)- which AMV stage 2 parts not repeated ?
29
Equi
vale
nce
Lim
it
- 1.5x RP SD 0 + 1.5x RP SD
Equi
vale
nce
Lim
it
No difference
Tier 1 Equivalence TestingRP SD = Reference product variation (standard deviation) as tested
(Equivalence Demonstrated)
RP S
peci
ficati
ons
RP S
peci
ficati
ons
90% 2-sided CI for ∆ (RP-BP)
Chow, SC, “On Assessment of Analytical Similarity in Biosimilar Studies.” Drug Des, 2014.
Tier 1 Equivalence Testing
• RP lots (n) tested for equivalence ≈ BP lots (n)- Example n=10 RP lots and n=10 BP lots
• Use available n=20 RP lots- Randomly select n=10 RP lots (1st set) to set equivalence limits (+/- 1.5 RP SDs)- Use remaining n=10 RP lots (2nd set) to test for equivalence vs. n=10 BP lots- Mean/SD of 1st set of RP lots (n=10) ≈ 2nd set
• RP lot SDobserved = SQR [(RP lot SDtrue)2 + (RP SDanalytical)2]
• RP SDanalytical ≈ BP SDanalytical
• Tier 1 potency test considerations:- Is RP and BP dosing done with potency units or total protein ?- Is there a “gold” reference standard ?
Assumptions and Conditions => AMV Acceptance Criteria
30Chow, SC, “On Assessment of Analytical Similarity in Biosimilar Studies.” Drug Des, 2014.
Simulated Tier 1 Example
31
Equ
ival
ence
Lim
it
- 1.5x RP SD 0 + 1.5x RP SD
Equ
ival
ence
Lim
it
No difference
RP 1.0 SDs (n=10)
Simulated Tier 1 ExampleRP – BP = 0.5 SD
32
Equ
ival
ence
Lim
it
- 1.5x RP SD0
+ 1.5x RP SD
Equ
ival
ence
Lim
it
RP 1.0 SDs (n=10)
BP 1.0 SDs (n=10)
90% CI RP-BP
Simulated Tier 1 Example calculated RP – BP = 0.5 SD
33
Equ
ival
ence
Lim
it
- 1.5x RP SD0
+ 1.5x RP SD
Equ
ival
ence
Lim
it
RP 1.0 SDs (n=10)
BP 1.0 SDs (n=10)
90% CI RP-BP
RP lots 1-10 = RP lots 11-20
= [(1.0)2 + (1.0)2] / 2 = 1.0
= = sqr [(2(1.0) / 10] = 0.447
Lower 90% CI Limit = 0.50 - (1.734)(0.447) = -0.275Upper 90% CI Limit = 0.50 + (1.734)(0.447) = +1.275
Simulated Tier 1 Example calculated RP – BP = 0.5 SD
34
Equ
ival
ence
Lim
it
- 1.5x RP SD0
+ 1.5x RP SD
Equ
ival
ence
Lim
it
RP 1.0 SDs (n=10)
BP 1.0 SDs (n=10)
90% CI RP-BP
RP lots 1-10 = RP lots 11-20
= [(1.0)2 + (1.0)2] / 2 = 1.0
= = sqr [(2(1.0) / 10] = 0.447
Lower 90% CI Limit = 0.50 - (1.734)(0.447) = -0.275Upper 90% CI Limit = 0.50 + (1.734)(0.447) = +1.275
Simulated Tier 1 Example calculated RP – BP = 0.5 SD
35
Equ
ival
ence
Lim
it
- 1.5x RP SD0
+ 1.5x RP SD
Equ
ival
ence
Lim
it
RP 1.0 SDs (n=10)
BP 1.0 SDs (n=10)
90% CI RP-BP
RP lots 1-10 = RP lots 11-20Note: No advantage of using lots 1-10 for +/- limits
= [(1.0)2 + (1.0)2] / 2 = 1.0
= = sqr [(2(1.0) / 10] = 0.447
Lower 90% CI Limit = 0.50 - (1.734)(0.447) = -0.275Upper 90% CI Limit = 0.50 + (1.734)(0.447) = +1.275
Tier 1 Equivalence Testing
• RP lot SDobserved = SQR [(RP lot SDtrue)2 + (RP SDanalytical)2]
• RP SDanalytical ≈ BP SDanalytical
• Typical AMV acceptance criteria example: Use product specifications (no potency loss over DP shelf-life):
• If (RP and) BP potency specs are 80-125% (geometrical) or 80-120% (symmetrical), and BP CPK = 1.00: AMV Int. Precision to be NMT 1.0 SD (7%)
• Biosimilar Tier 1 AMV acceptance criteria example(s) for analytical similarity: - AMV Int. Precision RP/BP NMT 0.7 SD (in %CV) of RP lot SDobserved (assuming CPK ≥
1.00): Approx. NMT 5%- RP lot SDobserved = 1.0 = SQR [(RP lot SDtrue = 0.7)2 + (RP SDanalytical = 0.7)2] = 0.49 + 0.49 = 1.0
• AMV Accuracy and/or Specificity (“matching” or “recovery”) acceptance criteria to be for mean difference NMT +/- 0.2 SD for BP (vs. RP)
Assumptions and Conditions => AMV Acceptance CriteriaHow “good” does my (potency) test performance need to be ?
36
Additional Points to Consider for Tier 1N = 10 for both reference and test product
Data from Gaussian distribution with , where and are the true variance values for the manufactured lots and for the analytical method, respectively. - Only about 82% expected pass rate when the
mean difference is truly equal to zero (products are exactly biosimilar). The 1.5 multiplier () may be too small ?
- For our example (0.5 SDs true difference), pass rate is 63%. The 1.5 multiplier may be too small.
- When the analytical variation is very high relative to product variability, the tier 1 pass rate remains relatively high for both small and large product mean differences. When analytical variation is high relative to the total standard deviation, true product differences can be obscured. Manufacturer’s risk is greatest when it pursues to lower analytical variation.
Courtesy of Steven Novick, MedImmune, USA
37
∆ of 0 => 82% pass
∆ of 0.5 => 63% pass
Tier 2 Quality Range Testing (One-Sided)Assumptions and Conditions => AMV Acceptance CriteriaHow “good” does my potency test performance need to be ?
38
+ 2.0x SD of RP Mean
Qua
lity
Ran
ge L
imit
RP
Mea
n (n
=20)
RP 1.0 SDs (n=20)
0.0%Impurity
Tier 2 Quality Range Testing
• A one-sided (non-inferiority) test model is used for a one-sided specification (NMT X.X% impurity).
• Use all available n=20 RP lots to set mean + 2.0 SD limit for quality range.- Data transformation is used as data is not symmetrical.- 90% of BP results (9/10) are expected to fall within 2.0 SD limit.(2/100 (2%) are expected to be > 2.0 SD limit if RP mean/SD = BP mean/SD)
• RP lots (n) tested for equivalence > BP lots (n)- Example n=20 RP lots and n=10 BP lots- No side-by-side testing (to reduce analytical variation)
• RP lot SDobserved = SQR [(RP lot SDtrue)2 + (RP SDanalytical)2]
• RP SDanalytical ≈ BP SDanalytical
Assumptions and Conditions => AMV Acceptance Criteria
39
Tier 2 Quality Range Testing
• RP lot SDobserved = SQR [(RP lot SDtrue)2 + (RP SDanalytical)2]
• RP SDanalytical ≈ BP SDanalytical
• Typical AMV acceptance criteria example: Use product specifications (Impurity NMT 2.0%)
• If (RP and) and BP CPK = 1.00: AMV Int. Precision to be NMT 1.0 SD (ex., 0.5%)
• Biosimilar Tier 2 AMV acceptance criteria example(s): For analytical similarity: AMV Int. Precision RP/BP NMT 0.7 SD (in %CV) of RP lot SDobserved (likely CPK ≥ 1.00), therefore, NMT 0.35%
• AMV Accuracy and/or Specificity acceptance criteria to be for mean difference NMT +/- 0.2 SD (ex., 0.1%) for RP vs. BP.
• Note: Conceptually, the same issues arise as those noted for Tier 1.
Assumptions and Conditions => AMV Acceptance CriteriaHow “good” does my analytical method performance need to be ?
40
Summary of Biosimilar AMV
41
• To be fast and successful, we should use an APT concept for Biosimilars.
• More stringent method performance expectations (ideally) exist for AMV (Tier 1 and 2 methods) although the current Tier 1 and 2 analytical similarity acceptance criteria may not be in the interest of patients.
• The most critical CMC success step is passing the formal analytical similarity study (not PPQ).
Krause, S., PDA J Pharm Sci Tech, (TBD) 2016
42
Back-up slides(APT examples)
43
HPSEC AMV Study Example for an Analytical Platform Technology (APT) Method
AMV Study Example(s) Purity by HPSEC – Initial AMV Study
44
M%
A% F%
Spiking highly degraded product (A% and F%)
Demonstrate:- QLs for A% and F% - Peak ID- Peak separation- Accuracy (expected peak recoveries)- Other AMV parameters: Linearity, range, precision levels(Robustness completed before AMV)
AMV Study Tier 2 ExamplePost-BLA APT AMV Study
45
M%
A% F%
For APT method:- Continue use of validated sample preparation- Same assay control and system suitability conditions
Prior to APT method verification:- historical method performance data from other product(s)- product-specific data
For APT method verification:- Run limited spiking study with degraded product to confirm:- QLs for A% and F% - Peak ID- Peak separation- Accuracy/specificity for all spiked levels- Repeatability precision- Use formal verification protocol and justified acceptance criteria
46
Typical AMV Execution Matrixfor APT Methods (ex. HPSEC - Quantitative Limit Test)
ICH Q2(R1) Validation Characteristic
Analyst Number
Day Number
Instrument Number
Validation Design(Spiked Analyte Concentration)
Accuracy 1 1 1 Spike A%/F% (to final %):0.5, 1.0, 2.0, 4.0% (run each 3x)
Repeatability 1 1 1 From accuracy
Specificity 1 1 1 Formulation matrix interference tested (and Inferred from accuracy)
Linearity 1 1 1 From accuracy
Assay Range 1 1 1 From accuracy
QL 1 1 1 From accuracy
47
Analytical Ultracentrifugation (AUC) AMQ Study Example for an Analytical Platform Technology (APT) Method
(Test method is used as part of the Tier 3 analytical similarity testing program)
Sedimentation Velocity (SV): a method orthogonal to SEC for detecting protein species with different molecular weights
In SV, the time dependent morphology changes of the protein/buffer boundary of a sample subjected to centrifugal force are determined by the contents of size variants.
48
AMQ Study Example(s) SV Method – Initial AMQ Study
49
M%
A%
(Dim
er, e
tc.)
F%
Spiking highly degraded product (A% and F%)
Confirm (for quant. limit test):- QLs for A% and F% - Peak ID- Peak separation- Accuracy (expected peak recoveries)- Other AMQ parameters: Linearity, range, specificity, precision
AMQ Study Example(s) Post-BLA APT AMQ Study
50
M%
A%
(Dim
er, e
tc.)
F%
For APT method:- Continue use of qualified sample preparation- Same assay control and system suitability conditions
Prior to APT method verification:- historical method performance data from qualified method
For APT method verification:- Run limited spiking study with degraded product to confirm:- QLs for A% and F% - Peak ID- Peak separation- Accuracy/specificity for all spiked levels- Repeatability precision- Use product-specific verification master plan and acceptance criteria