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POTENCY ASSAYS FOR POTENCY ASSAYS FOR PLASMID-BASED VACCINES PLASMID-BASED VACCINES AND THERAPEUTICSAND THERAPEUTICS
POTENCY ASSAYS FOR POTENCY ASSAYS FOR PLASMID-BASED VACCINES PLASMID-BASED VACCINES AND THERAPEUTICSAND THERAPEUTICS
David C. Kaslow M.D.Chief Scientific OfficerVical Incorporated
David C. Kaslow M.D.Chief Scientific OfficerVical Incorporated
CTGTAC Meeting on Potency Assay 9 February 06CTGTAC Meeting on Potency Assay 9 February 06
OutlineOutline• Context
• Pre-biologics: pDNA vaccines and therapeutics• Potency v strength
• Potency assays of pre-biologics:• Key assumptions • Potency assay evolution • Protein-based potency assays
• Case study #1: Allovectin-7® & FACS
• Polynucleotide-based potency assays• Genetic stability• mRNA: the immediate “given result”• RT-PCR• Case study #2: CMV & In vitro – In vivo correlate
• Summary
Plasmid Vaccines and Therapeutics: Plasmid Vaccines and Therapeutics: Pre-biologicPre-biologic
Gene sequence
Transcription
Translation
Post-translationalmodification
BIOLOGICProtein
plasmid
AAAAAAA
mRNA
PRE-BIOLOGIC
Plasmid Vaccines and Therapeutics: Plasmid Vaccines and Therapeutics: Pre-biologic Strength v PotencyPre-biologic Strength v PotencyStrength ≠ Potency
• Strength:
• Determines dose
• Based on DNA concentration
• A260 (or equivalent)
• Potency:
• Specific ability or capacity of the product…to effect a given result
• In vitro or in vivo demonstration of manufacturing and product consistency
Plasmid Vaccines and Therapeutics: Plasmid Vaccines and Therapeutics: Pre-biologic Strength v PotencyPre-biologic Strength v Potency
Gene sequence
Transcription
Translation
Post-translationalmodification
plasmid
AAAAAAA
mRNA
PRE-BIOLOGIC
Strength
Potency BIOLOGICProtein
Plasmid Vaccines and Therapeutics: Plasmid Vaccines and Therapeutics: Pre-biologic Strength v PotencyPre-biologic Strength v Potency
plasmid
AAAAAAA
mRNA
PRE-BIOLOGIC
Strength
Potency
RT-PCR
IP/WB or WBELISAFACS
A260
(Genetic Stability)
BIOLOGICProtein
OutlineOutline• Context
• Pre-biologics: pDNA vaccines and therapeutics• Potency v strength
• Potency assays of pre-biologics:• Key assumptions • Potency assay evolution• Protein-based potency assays
• Case study #1: Allovectin-7® & FACS
• Polynucleotide-based potency assays• Genetic stability• mRNA: the immediate “given result”• RT-PCR• Case study #2: CMV & In vitro – In vivo correlate
• Summary
Key Assumptions-Part 1 of 3Key Assumptions-Part 1 of 3
• The assay development focus should be on in vitro assays
• In vitro responses are less variable than in vivo assays
• In vitro responses have a greater dynamic range than in vivo assays
Key Assumptions-Part 2 of 3Key Assumptions-Part 2 of 3
• If the immediate biological activity of a pre-biologic is to effect transcription of an immunogen or therapeutic protein, then the immediate biologic result of the product is mRNA.
Key Assumptions-Part 3 of 3Key Assumptions-Part 3 of 3• If a pre-biologic product is genetically stable,
then:• there will be no lot-to-lot variability of primary
nucleotide sequence
• there will be no lot-to-lot variability of primary, secondary or tertiary protein structure
• the only potential lot-to-lot variability of the drug substance is:
• Strength
• Higher order DNA structure
OutlineOutline• Context
• Pre-biologics: pDNA vaccines and therapeutics• Potency v strength
• Potency assays of pre-biologics:• Key assumptions • Potency assay evolution• Protein-based potency assays
• Case study #1: Allovectin-7® & FACS
• Polynucleotide-based potency assays• Genetic stability• mRNA: the immediate “given result”• RT-PCR• Case study #2: CMV & In vitro – in vivo correlate
• Summary
Evolution in Approach to Evolution in Approach to Vaccine Regulation: Two ParadigmsVaccine Regulation: Two Paradigms
• “OLD: Vaccine potency, as measured in the laboratory, is the most important characteristic to ensure human efficacy”
• “NEW: Vaccine potency is only one of the tools used to ensure that a manufacturing process yields immunobiologicals of quality consistent with that of lots proven efficacious”
From: Assays and laboratory markers of immunological importance
Bruce D. Meade & Juan L. Arciniega
Laboratory of Methods Development and Quality Control
Office of Vaccines Research and Review, CBER, FDA
February 2001
Tools for Characterization and ReleaseTools for Characterization and Release
• Strength- Nucleic acid concentration (A260)
• Identity- Total pDNA size- Restriction fragment length
• Potency- Single point expression- % Relative potency
• RT-PCR• ELISA• FACS
- IP/WB- Cell proliferation - In vivo immunogenicity
EvolutionEvolutionPotency Assay Development Stages & TimelinePotency Assay Development Stages & Timeline
Pre-clinical Phase I Phase II Phase III Commercial
Development Qualification
Pre-Validation Validation
RT-PCR Single point % Relative Potency
ELISAFACS Single point % Relative Potency
IP/WBImmunogenicityCell Proliferation
Protein-based
mRNA-based
+
or
OutlineOutline• Context
• Pre-biologics: pDNA vaccines and therapeutics• Potency v strength
• Potency assays of pre-biologics:• Key assumptions • Potency assay evolution• Protein-based potency assays
• Case study #1: Allovectin-7® & FACS
• Polynucleotide-based potency assays• Genetic stability• mRNA: the immediate “given result”• RT-PCR• Case study #2: CMV & In vitro – in vivo correlate
• Summary
Sterile liquid, single-vial product, 2 mg/mL, stored at 2-8ºC:Bicistronic HLA-B7 + -2 microglobulinformulated with a cationic lipid (DMRIE:DOPE)
Treatment of chemo-naive metastatic melanoma patients who have at least one injectable cutaneous, subcutaneous, or nodal lesion
Allovectin-7Allovectin-7® ® Drug ProductDrug Product
Development and Validation of a Development and Validation of a Potency Assay for Lot ReleasePotency Assay for Lot Release
• Key regulatory issues:• HLA-B7 detectable and distinguishable
• β2M complexed with HLA-B7
• HLA-B7 & β2M correct size
• Development strategy:• In vitro expression
• Quantification• FACS (Fluorescence Activated Cell Sorting) %RP (Relative Potency)
• Identity• IP/WB (Immuno-Precipitation/Western Blot)
OverviewOverviewAllovectin-7Allovectin-7®® Potency AD Stages & Timeline Potency AD Stages & Timeline
Pre-clinical Phase I Phase II Phase III Commercial
Assay Development
Assay Qualification
Assay Pre-validation
Assay Validation
FACSSingle point
IP/WB
FACSSingle point
FACSSingle point
FACS %RP Dose response
IP/WBIP/WB
FACS %RP Dose response
FACS %RP Assay QualificationFACS %RP Assay Qualification
Allovectin-7Allovectin-7 FACS %RP FACS %RP Assay QualificationAssay Qualification
• 8 dose transfection curves for HLA-B7 and β2M each:
• HLA-B7: 0, 0.16, 0.31, 0.63, 1.25, 2.50, 3.75, 5.00 ug/mL
• β2M: 0, 0.16, 0.31, 0.40, 0.63, 1.25, 2.50, 5.00 ug/mL
• Data used for statistical analysis:
• HLA-B7: 43 reference curves, 32 pairs
• β2M: 21 reference curves, 24 pairs
• Statistical analysis based on
• Finney, D.J. Statistical Method in Biological Assay. Second Edition. 1971. Griffin, London.
Typical Dose Response Typical Dose Response Reference CurvesReference Curves
HLA-B7 FACS Dose Response
0
10
20
30
40
50
0.00 1.25 2.50 3.75 5.00
ug/mL pDNA
% H
LA
-B7
Po
sit
ive
Ce
lls
B2M FACS Dose Response
0
10
20
30
40
50
60
70
80
90
100
0.00 1.25 2.50 3.75 5.00
ug/mL pDNA
% B
2M
Po
sit
ive C
ell
s
HLA-B7 β2MDose response
model fitSlope ratio Parallel line
Dose treatment (x-axis)
Untransformed Log-transformed
Relative Potency formula R = 10
T - R
R =ßT
ßR
FACS %RP Assay ValidationFACS %RP Assay Validation
FACS Validation FACS Validation All Parameters Met Acceptance CriteriaAll Parameters Met Acceptance Criteria
• Accuracy• %RP levels: +/- 35% of the expected recovery
• Precision• Intra-assay: ≤ 35 %CV
• Inter-assay: ≤ 35 %CV
• Range• Measured vs expected slope for all five %RP levels: 0.70 ≤ Slope ≤ 1.30
• Linearity• Meets pre-determined suitability criteria for slope, intercept, RMSE
• Specificity• Data from precision runs meets suitability criteria for +/- controls
Allovectin-7Allovectin-7®® CTM CTM%RP Results%RP Results
Lot HLA-B7 (%RP) β2M (%RP)
A 88.6 99.8
B 79.3 93.6
C 90.0 88.2
D 81.3 91.2
E 87.4 91.1
Mean SD 85.3 4.7 92.8 4.4
Allovectin-7Allovectin-7®® IP/WB Assay IP/WB Assay
Lane # Sample
1 Allovectin-7® ref.
2 Positive control
3 Negative control
β2MHLA-B7 MW 1 2 MW 3
kDa
188
98
6249
38
28
1714
6
3
kDa
188
9862493828
1714
6
3
Lane # Sample
1 Allovectin-7® ref.
2 Positive control
MW 1 2 MW
Allovectin-7Allovectin-7®® CTM CTM IP/WB Assay IP/WB Assay ResultsResults
Lot HLA-B7 (kDa) ß2M (kDa)
B 50.3 9.2
C 50.7 9.5
D 49.2 9.8
E 50.4 9.1
F 49.7 10.2
Mean ± SD 50.1 ± 0.6 9.6 ± 0.5
Case study #1: Case study #1: Allovectin-7Allovectin-7®® & FACS Summary & FACS Summary
• FACS %RP and IP/WB assays developed with FDA input
• Both assays successfully validated and used to evaluate Phase 2 CTM retains
• Phase 3 CTM to be evaluated against reference standard +/- statistically determined reference variability
• Phase 3 CTM and validation lots will be used to determine commercial specifications
OutlineOutline• Context
• Pre-biologics: pDNA vaccines and therapeutics• Potency v strength
• Potency assays of pre-biologics:• Key assumptions • Potency assay evolution• Protein-based potency assays
• Case study #1: Allovectin-7® & FACS
• Polynucleotide-based potency assays• Genetic stability• mRNA: the immediate “given result”• RT-PCR• Case study #2: CMV & In vitro – in vivo correlate
• Summary
Genetic StabilityGenetic StabilityWhat & HowWhat & How
• Characterization (not release) assay
• Determined once for a MCB/WCB
• Stepwise approach completed as part of commercial-scale process validation• At IND:
• Sequence of MCB/WCB
• Restriction fragment size pattern on drug substance
• During clinical development:
• Intermediate analysis to identify risk
• By commercial filing:
• Complete analysis of plasmid backbone at full-scale
• Statistically significant GXP analysis of expression cassette at full-scale
Observed pDNA sequence
Predicted pDNA sequence MCB
MWCB
Fermentation
Purify pDNA
Transform & select colonies
pDNA from colonies
Genetic StabilityGenetic StabilityProtocol OverviewProtocol Overview
There is a >95% probability of detecting one or more mutations in a sample of 30 independent clones if the actual mutation prevalence is >10%.
A >99% probability of detection for a mutation prevalence of >1% would require 459 independent clones
Sample Size
Mutants Probability
20 0 12.16%
30 0 4.24%
50 0 1.70%
60 0 0.90%
Genetic StabilityGenetic StabilityExample of Sample Size and Confidence LevelExample of Sample Size and Confidence Level
OutlineOutline• Context
• Pre-biologics: pDNA vaccines and therapeutics• Potency v strength
• Potency assays of pre-biologics:• Key assumptions • Potency assay evolution• Protein-based potency assays
• Case study #1: Allovectin-7® & FACS
• Polynucleotide-based potency assays• Genetic stability• mRNA: the immediate “given result”• RT-PCR• Case study #2: CMV & In vitro – in vivo correlate
• Summary
Plasmid Vaccines and Therapeutics: Plasmid Vaccines and Therapeutics: Pre-biologic PotencyPre-biologic Potency
plasmid
AAAAAAA
mRNA
PRE-BIOLOGIC
Potency
RT-PCR
IP/WB or WBELISAFACS
BIOLOGICProtein
PROTEINAAAAAAA
mRNA
WB, FACS, ELISA AssayRT-PCR AssayAttributes
• Measures distant biological effect (cell substrate dependent)
• “Quantitative”• Narrow dynamic range• High inherent variability
• “Specific”• “Validatable” (w/ difficulty)
• Reagents: lot-to-lot variability, unstable, long development time
Attributes• Measures the immediate
biological effect (transcription)
• “Quantitative” • Large dynamic range• Low inherent variability
• “Specific”• “Validatable”
• Reagents: invariable, stable, readily available
plasmid
Drug Product
• Pre-biologic
• Prepro-biologic
Potency AssayPotency AssayRT-PCR %RP Assay RationaleRT-PCR %RP Assay Rationale
mRNA
Reverse Transcription (RT)
Potency AssayPotency AssayRT-PCR & Specificity of PCR PrimerRT-PCR & Specificity of PCR Primer
intron Genepromoter
plasmid
TaqMan® PCR
Gene-specific reverse primer
mRNA
Transcription
In vivoIn vivo
In vitroIn vitro
R Q
cDNA
Taqman ProbecDNA-specific forward primer
OutlineOutline• Context
• Pre-biologics: pDNA vaccines and therapeutics• Potency v strength
• Potency assays of pre-biologics:• Key assumptions • Potency assay evolution• Protein-based potency assays
• Case study #1: Allovectin-7® & FACS
• Polynucleotide-based potency assays• Genetic stability• mRNA: the immediate “given result”• RT-PCR• Case study #2: CMV & In vitro – in vivo correlate
• Summary
Potency AssayPotency AssayPoloxamer-formulated pDNA-based VaccinePoloxamer-formulated pDNA-based Vaccine
• DNA vaccine
• hCMV gB
• hCMV pp65
• Plasmid backbone
• Optimized Vical design
• Tested in prior clinical trials
• Formulation
• 2 pDNAs (5mg/mL)
• CRL1005 poloxamer (7.5mg/mL)
• BAK (0.11 mg/mL)
• PBS
Bivalent
Vaccine to protect against CMV-associated disease
Potency AssayPotency AssayTest Potency SamplesTest Potency Samples
• Evaluate sample potencies
• Prepare samples of different potencies based on concentration
• Examined potency ranges
• 50% to 200%
• Observation & model
• Dose range plots for various potencies conform to parallel line model
Sample Potencies of Test Lot
26
27
28
29
30
31
32
33
34
35
0.01 0.1 1
Log Transfected Dose (ug)
CT V
alue
200%
100%
50%
Expected Potency
Observed Potency
50% 54%
75% 88%
150% 135%
200% 194%
In Vitro / In VivoIn Vitro / In Vivo Correlation Correlation
• Goal:• Determine whether in vitro relative potency correlates to
changes in the CMV pDNA vaccine-mediated immune response
• In vitro % Relative Potency (RP)• % response relative to a reference, using RT-PCR
• In vivo immune response in mice• Anti-gB antibodies by ELISA
• pp65 T-cell responses using IFN-γ ELISPOT
In Vitro / In VivoIn Vitro / In Vivo Correlation Correlation
• Method:Evaluate hypo-potent CMV vaccine (80C heat-degraded) versus the 100% potent CMV vaccine within the linear range of the in vitro and in vivo assays’ dose-response curves
In Vitro / In VivoIn Vitro / In Vivo Correlation Correlation
Ref 0 6 9 12 15 18 21 24 27 30 33 36 39 42 45 48 87 Ref pDNA type
Aggregates
Multimer
Open Circular
Linear
Supercoil
Fullydegraded
80C forced pDNA degradation (hrs of treatment)
In Vitro / In VivoIn Vitro / In Vivo Correlation Correlation
% Relative Potency (formulation treatment)
Total Dose(µg)
Total Volume (µL)
# of animals/group
~100% (0 hr) 10 100 11
~55% (12 hr) 10 100 11
~22% (24 hr) 10 100 11
~11% (39 hr) 10 100 11
~0% (87 hr) 10 100 5
In Vivo Study Design: VCL-CB01
Bilateral IM injection of rectus femoris administered on Days 0 and 14
Blood collected prior to 1st injection (Pre-bleed) and Day 26
In Vitro / In VivoIn Vitro / In Vivo Correlation Study Correlation StudyAb ResultsAb Results
Time @ 80C Relative Potency (%RP) Anti-gB Ab (EU/ml)
0 hr 101.25 60,227 +/- 6,157
12 hr 55.1 30,402 +/- 3,504
24 hr 22.25 30,535 +/- 4,942
39 hr 11.25 4,081 +/- 2,737
87 hr 0 0
Normalized Antibody and Relative Potency Response
In vivo & in vitro response normalized to untreated
-100.00%
-75.00%
-50.00%
-25.00%
0.00%
0 15 30 45 60 75 90
hrs treatment @ 80 degrees C
% D
rop
Ab (EU/ml)
Relative Potency (%RP)
In Vitro / In VivoIn Vitro / In Vivo Correlation Study Correlation StudyT-cell ResultsT-cell Results
• High variability
• Low responses
• Inconclusive results
Case Study #2: Case Study #2: CMV & CMV & In VitroIn Vitro / / In VivoIn Vivo Correlation Summary Correlation Summary
• Conclusions • Forced degradation of pDNA correlates with a drop in
relative potency (RP) by RT-PCR
• Drop in RP correlates to drop in CMV-mediated immune response
• Antibody data appears to correlate best with RP and degradation
• Slope analysis of downward trend statistically significant (p=0.001)
• ELISPOT assay - inconclusive
• Variability too high
• Response lower than historical data
Summary: Potency AssaySummary: Potency AssayCharacterization & Lot ReleaseCharacterization & Lot Release
Nucleotide Structure Transcription
Characterization Lot Release Characterization Lot Release
Genetic stability
Total size Pre-clinical “efficacy”
RT-PCR
% Relative potency
Restriction enzyme digest
In vitro / in vivo correlation
HPLC analysis
(%SC, %OC, &
% linear)
AcknowledgementsAcknowledgements• FACS %RP Assay
Development Team• Basil Jones
• Lana Marjerison
• Beth Feher
• Robin Baptista
• Martha Till *
• Kris Carner
• RT-PCR %RP Assay Development Team
• Beth Feher
• Lana Marjerison
• Basil Jones
• Mindy Sam
• Rama Ghatti
• Rohit Mahajan Ph.D.
Laureen Little Ph.D. – Consultant, BioAssaysJan Callahan Ph.D. - Consultant, Statistics
*formerly with Vical
Alain Rolland, SVP Prod Dev Jukka Hartikka Ph.D.Keith Hall, Head QC/AD Mary Wolch Ph.D.Peggy Lalor Ph.D. Andy Geall Ph.D.
Gretchen Jimenez Ph.D.