This document provides a summary of a presentation on Quality-by-Design (QbD) for biopharmaceuticals. It begins with an overview of QbD and its key principles of product and process understanding and control based on science and risk management. The presentation then discusses applying QbD concepts to coffee making as an example. Key aspects of coffee quality are identified and process parameters that impact quality are described. The presentation emphasizes using process understanding to develop a control strategy to ensure consistent quality. It also discusses integrating QbD with process validation approaches.
2. The opinions expressed in this presentation are my own
and do not represent those of my employer Shire
Pharmaceuticals
I am a shareholder of Shire Pharmaceuticals and other
pharmaceutical companies through ownership of stocks and
mutual funds
This presentation is intended for education, development
and training purposes only
Disclaimer
3. Naveen’s Bio
• Current Role: Head QbD Systems, Process Development and Technical Services, (04/14–
Present: Director), Shire, MA
• Adjunct Professor (QbD), Keck Graduate Institute, Amgen Bioprocessing Center.
• Associate Director, Manufacturing Science & Technology, Genzyme, MA
• Principal Engineer, Process Development, Amgen, RI
• Project Manager, Biological Manufacturing, H3Pharma Inc., Montreal
• Senior Scientist (downstream), DSM Biologics, Montreal
• Scientist, Core Technologies, Novartis Pharmaceuticals, NJ
• Master of Science in Chemical Engineering, University of Oklahoma
• Bachelor of Technology in Chemical Engineering, Indian Institute of Technology, Delhi
• Project Management Professional, PMP, 2005-2010
• Drug Development, Temple University QA/RA program
3
4. What is Quality-by-Design?
“Product and Process Understanding”….. [ICH Q8 (R2) Definition]
“A systematic approach to development that begins with predefined objectives and emphasizes product
and process understanding and process control, based on sound science and quality risk management.”
INTERNATIONAL CONFERENCE ON HARMONISATION OF TECHNICAL
REQUIREMENTS FOR REGISTRATION OF PHARMACEUTICALS FOR HUMAN USE. This Guideline has been developed by the appropriate ICH Expert Working Group and
has been subject to consultation by the regulatory parties, in accordance with the ICH Process. At Step 4 of the Process the final draft is recommended for adoption to
the regulatory bodies of the European Union, Japan and USA.
QbD
QRM
Risk
Assessment
Tools
DOE
Statistics
Control
Strategy
Process
Understanding
Documentation
“An approach to rational design”…
“Designing and developing a product
and associated manufacturing
processes that will be used during
product development to ensure that
the product consistently attains a
predefined quality at the end of the
manufacturing process.” Guidance for
Industry, Quality Systems Approach to Pharmaceutical CGMP
Regulations ; U.S. Department of Health and Human
Services, Food and Drug Administration, September 2006
“Building in quality” …..
5. Making a Cup of Coffee (regular “non- QbD” approach)
I want a cup
of “good”
coffee
Monday: wow
Awesome
coffee!
Tuesday:
Yuck!!
I should add a lot of coffee
to get good taste…I will let
it brew slow to get most
out of it..
need Coffee grind…..whatever
spoon I can get from DW..add
a few, I am out of water
bottles…oh I can just use tap
water… did I use two filters
yesterday…I guess
6. Coffee Making (QbD approach): Introducing QbD terms,
CQA, CPP, and CRM
• Buy good coffee beans
• Grind your coffee just before brewing
• Store your coffee properly
• Use the right proportion of coffee to water
• Focus on technique
• The grind size of your coffee beans
• The temperature of your water
• The amount you agitate your coffee
grounds during brewing
• The ratio of water to coffee.
When tasting coffee, professional coffee tasters, or
“cuppers” as they are known, grade the coffees on
a five basic taste characteristics.
1. Flavor
2. Acidity –Liveliness of the coffee
3. Body –The feel of the coffee in your mouth
rather than the actual flavor.
4. Aroma – Coffee aroma is the fragrance of
brewed coffee and is closely related to coffee
flavor.
5. Finish – This is the sensation of brewed coffee
vapors released after swallowing.
9. Zen and the Art of QbD
•Understand your product and Quality
you desire
•Understand the process to make the
product
•Use Process Understanding to Control
your Product Quality and consistency
9
NAVEEN PATHAK
QbD course @ Bio manufacturing Education & Training Center (BETC), WPI
10. QbD Value Proposition
• Clear demonstration of control of risk to product quality
• Visibility to process capability risk at commercialization
• Efficient “first time right” PPQ approach
• CPV program aligned with APQR and validation maintenance requirements
• Continuous improvement of process capability by lifecycle approach to Qbd
Challenge
A pragmatic and systems based approach to QbD, which is
right sized for both legacy and new products
&
Inclusive of internal & external manufacturing
11. Why Quality by Design?
11
1.) Regulatory agencies are increasingly expecting QbD-based business practices
and methods to be employed throughout the product lifecycle even though full
QbD or ‘Design Space’ filings are not required at this time.
2.) Potential product shortages as a result of manufacturing interruptions and
process deviations, regulatory observations of our quality systems, and delays in
regulatory filings
• Market
capture • Ability to meet
product demand
• Potential exclusivity
• Earlier proof of
concept
• Lower-risk back-end expenditures
• Smoother tech
transfer
• Well understood process with less
upsets or deviations
• More complete filing and better
chance of approval
12. Warning letters from regulatory agencies that highlight
lack of control strategy and process understanding
13. Mission: Rapid Commercialization
and Sustainable Commercial
Manufacturing Lifecycle
Management
PROCESS & ASSAY
IMPLEMENTATION
COMMERCIAL
MANUFACTURING
& LIFE CYCLE
MANAGEMENT
Stage 1
Process Validation:
Process Design
Stage 2
Process Validation:
Process
Performance
Qualification
Stage 3
Process
Validation:
Continued Process
Verification
Commercial Product
PRODUCT
DISCONTINUATION
PROCESS &
ANALYTICAL
DEVELOPMENT
PRODUCT
DEVELOPMENT
PVlifecycle
TechnologyTransfer
QbD/controlstrategy
Continuousimprovement&
CPV
PDA Technical Report #60
Lifecycle approach to
Process Validation……
Biopharmaceutical
Product and Process
Lifecycle
14. Timeline
• Evolution of regional GMPs 1970s
• Evolution of ISO 9000 approaches 1980s
• FDA 21st Century initiative 2002
• ICH Quality Vision / Q8, Q9, Q10 2003
• FDA Quality Systems guide 2006 *
• ICH Q10 Pharmaceutical Quality System 2008
• ICH Q8/9/10 IWG 2008
* FDA commitment to update or withdraw when Q10 issued
A-Mab Case study 2.1 2009
15. • Publication and Sponsorship
• CASSS http://www.casss.org
• ISPE http://www.ispe.org
• Maintain CMC Working Group interactions
• Coordinate workshops
• Develop training
• Facilitate regulatory interactions
Biopharmaceutical QbD Pilot: A-Mab
Case Study A-Mab is a Public Document
16. QbD Related Expectations are Anchored in 21st Century cGMPs and
Associated Guidelines
Quality Risk
Management
Q9
Product and Process
Understanding
Q8 (R1)
Q9, Q10 Q11
Pharmaceutical
Quality System
Q10
21st Century Quality Paradigm
Lower Risk Operations
Innovation and Continual Improvement
Optimized Change Management Process
Enhanced Regulatory Approaches
Industry Status
Emergence of these guidance documents fueled the case for the QbD Pilot
18. QbD and PV (Process Validation) Integrated Approach
QTPP Construction
CQA Assessment
Parameter/Raw material Risk
Assessment
Process Development and
Characterization
Parameter /Raw material
Classification
Process Control Strategy
Drug Discovery & Research
PROCESS
UNDERSTANDING
PRODUCT
UNDERSTANDING
PAR
CQA Ranges
CPPs
Analytical Control Strategy
PVStage1:ProcessDesign
(QTPP)
Define desired quality characteristics of
the product
(CQA)
Perform risk assessment to link quality
attributes to clinical safety and efficacy
Characterizati
on & Criticality
Study the impact of deliberate variations in
process control parameters and raw
material attributes (inputs) on proposed
CQAs and determine parameter criticality
Control
Strategy
Derived Based on understanding and
control of sources of variability to ensure
product quality and consistency
Stage2
PPQ Process
Qualification
Based on Control Strategy Demonstrate
that the process is capable of reproducible
commercial manufacturing
Stage3
CPV
Process
Monitoring
Continued process verification (CPV) to
ensure process remains in state of control;
mechanism to identify and implement
process improvements
CONTROL
STRATEGY
Charac.
Plan
Risk to Patent Mitigated
Lifecycle PV
QbD stages
Application of Quality Risk
Management
19. Risk Assessment and Management
QRM
Total Risk is a function of:
• Severity of the event if it were to occur (S)
• Probability or Frequency of Occurrence (O)
• Probability of Detection (D)
Risk Priority Number (RPN) = S x O x D
Quality Risk Management
Sometimes an Uncertainty factor is also used to account for level of
confidence in the information used for Risk Assessment
21. Control Strategy is based on a final Risk
Assessment (Patient Risk) for each CQA
Overall CQA Risk
Assessment
RPN
CQA Criticality
Assessment
Severity
Process
Capability
Occurrence
Testing
Strategy
Detectability
= X X
Risk
Assessment
RPN = SxOxD
Categorization
of Process
Parameters
Design Space
In-Process
Controls
Specifications
Risk Assessment
Severity of Impact
x Certainty
• Similar approach taken for
Performance Parameters
• The risk in this case is to Process
Performance
22. NAVEEN PATHAK
• The assessment process is via a risk based approach which
includes
• Determination of Severity score based on its potential
impact on the following:
- Safety/Immunogenecity
- Potency/Efficacy
- PK/PD
• Determination of an “uncertainty” Score based on level
of confidence in data used to score Severity
Determination of Critical Quality Attributes (CQAs)
Example Quality Attribute Criticality Assignment Matrix
(CQAs shaded)
Severity
Uncertainty
10 7 5 3
10
7
5
3
1
23. NAVEEN PATHAK
Parameter & Raw Material Impact Assessment
From process flow
diagrams, identify
operating
parameters and
raw materials for
each unit
operation
Identify impacted
CQAs and
performance
parameters for
each unit
operation (Purpose
of step)
Score the potential
impact of each
parameter and raw
material on each CQA
and performance
Potential impact is a risk estimation when
parameter is varied over an “assessed range”
INITIAL PARAMTER AND RAW MATERIAL IMPACT ASSESSMENT
Unit Operation
Purposeof the Unit
Operation
OperatingParamter/Raw
material/component
Unit of
Measure
Target
AssessmentRange(LowerLimit)
AssessmentRange(UpperLimit)
Outputs(CQAs and non-CPAs)
Notes/Comments/Justification
PrimarySequence
Aggregates
Oxidizedspecies
HostcellProteins
HostCellDNA
BSA
DrugSubstance
Concentration
DrugProductConcentration
Color
Viraladventitiousagents
Microbialcontaminants
Endotoxin
Mycoplasma
Leachables
Titer
CellDensity
Yield
SetPoint
NormalOperatingRange
(LowerLimit)
NormalOperatingRange
(UpperLimit)
Chromatography1:
Cation Exchange
Chromatography
Early purificationstep
which achieves significant
reduction in process
impurities. PrimaryBSA
reduction step (in wash 2
and elution)
resin Loading g/L 5.5 5.4 5.6 3 9 1 7 7 10 7 10 1 7 Multivariate (DOE)
Temp OC 20 16 23 14 25 4 4 4 4 4 4 1 4 Other
incorporatein other designs;
temperaturemay still impact product
stream stability so decision to study
EQ/Load/W1 pH pH units 5.6 5.5 5.7 5.4 5.8 1 7 10 10 7 7 1 7 Multivariate (DOE)
EQ/Load/W1 Cond. mS/cm 5.5 5 6 4 7 1 7 10 10 7 7 1 7 Multivariate (DOE)
EQ/Load/W1 Flow rate cm/hr 150 140 160 125 175 1 4 4 4 4 4 1 4 None
Wash 2 pH pH units 5.6 5.5 5.7 5.4 5.8 1 7 10 10 7 10 1 7 Multivariate (DOE)
Wash 2 cond. mS/cm 13.5 13 14 11 15 1 7 10 10 7 10 1 7 Multivariate (DOE)
Wash 1 volume CV 4 3.8 4.2 3.5 4.5 1 7 7 7 7 7 1 1 Univariate(OFAT)
Wash 2 volume CV 6 5.8 6.2 5 10 1 7 7 7 7 10 1 7 Multivariate (DOE)
Elution pH pH units 5.6 5.5 5.7 5.4 5.8 1 7 7 7 7 7 1 7 Multivariate (DOE)
Elution volume CV 4 3.8 4.2 3.5 4.5 1 4 4 4 4 4 1 7 Univariate(OFAT)
Elution cond. mS/cm 20 18 22 17 23 1 10 7 7 7 7 1 7 Multivariate (DOE)
Avg harvest Age (from Bxr) Days 11 8 13 4 17 1 7 7 7 7 4 1 7 Univariate(OFAT)
Pool Hold time Hrs <5 N/A 5 N/A 12 1 7 7 4 4 4 1 4 Univariate(OFAT)
Column Bed height cm 18 17 19 16 20 1 4 4 7 7 7 1 4 Univariate(OFAT)
Resin Ligand Density umol/ml 100 75 125 60 150 1 4 4 4 4 4 1 4 None
Elution Pool bag Comp. 1 4 4 4 4 4 7 1 Other Extractablestudies
Column Storage solution bag Comp. 1 1 1 1 1 1 7 1 Other Extractablestudies
Skid valve diaphragm Comp. 1 1 1 1 1 1 4 1 None
Characterization Plan
24. NAVEEN PATHAK
Criticality Determination Risk Quantitation of
Impact Over Characterized Range
Quantitative Qualitative
Assess First/Next
CQA
Start
Type of
Criticality analysis
Parameter
judged to Practically
Impact CQA
For each parameter or material
Parameter is
Critical
No
Yes No
Have
all CQAs been
assessed?
Parameter is
Non-Critical
Yes
No
Parameter
Interacts with other
Parameters for impact
Assess Multivariate
Response
Yes
Risk/Impact
Assessment
Question
Does the CQA vary significantly
when the parameter is varied
over the characterized range?
Is the width of the NOR close to
the PAR?
Does the process lack
robustness to variability within
the NOR or PAR?
Is the PAR close to the edge of
failure?Final Impact Score can be 4. 7 or 10;
score of 10 CPP
25. Control Strategy Risk Assessments (QRM1 & QRM2)
Apply Process Controls
QRM1 Apply Analytical Controls
QRM2
Image adapted from Mab A case study
26. PACS: A source for key business and regulatory outputs
Process & Analytical Control
Strategy
Technology Transfer Plan
Process Validation
Strategy & Plan
Regulatory Dossier
Manufacturing Batch Records
Commercial Process
Description
Equipment validation
Analytical Method
validation plan
27. The Second Stage of Process Validation PPQ Center
Piece of Tech Transfer
Use Control Strategy to guide
development of PPQ protocols
Execute protocols at commercial scale to
make DS and DP
Document that Process and Analytical
control could be demonstrated at
commercial scale by successful execution
of protocols
Generally performed for n =3 but lower #
can be used per justification
Types of PPQ activities
1. Unit Operation PPQ
2. Ancillary PPQ/validation activities
Process Validation (PPQ) Master
Plan Its all in here !
28. Continued Process Verification
It is all about staying in control…
Updated Control
Strategy
Additional Process
Understanding
Management Review
Monitor
Process
Risk Review
Assessment of
validated state
Risk Register
Governance Processes
(TOTAL)
Extreme-6
High-5
Moderate B-4
Moderate A-3
Low B-2
Low A-1
<<<Impact>>>
1
2
1
4
3
Risk Profile Overview (# Risks by Impact and Likelihood):
0
0
0 17
0
2
0
4
4
0
0
1
78 2
0
0
0
00
1
<<< Likelihood >>>
0
1
1
1
2
1
6
Low-1 Moderate-2
4
High-3
0 0
5
Extreme-4
0
(TOTAL)
0
29. Quality by Design (Q-b-D) for Biopharmaceuticals
• WHAT YOU WILL LEARN:
• This course will take the students through the journey of using a combination of
classroom presentations and case studies such that they will be “ready” to
participate in Q-b-D related activities related to a Biotech product.
• Introduction to Q-b-D principles- A science- and risk-based approach
• Product understanding – Critical Quality Attributes (CQAs) – patient safety and
needs
• Process understanding
• Development of Process and Analytical Control Strategy
• Statistical Methods and data analysis
• Quality Risk Management (QRM)
• Design of Experiments (DOE)
• Process Optimization & Response Surface Methodology– Ranges, Design Space,
• Root causes analysis – FMEA, risk ranking and apply FMEA to Control Strategy
selection
• Technology Transfer to manufacturing and Continuous Process Verification Strategy
• CASE Studies
30. Course Layout
• 7 Modules over 3 days
• Intro CQA Initial Impact DOE Classification Control
Strategy Tech Transfer & CPV
• An integrated case study
• Start with a Fictitious Molecule and its Bioprocess
• Complete a case study worksheet for all stages (CQA Control
Strategy)
• Data provided for each stage to complete the worksheets for the
case study