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Challenges with Establishing a Control Strategy for Biosimilars FDA/PQRI Conference on Advancing Product Quality Bethesda, MD October 5 th Barbara Rellahan MS, PhD Director, Product Quality Amgen Inc
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Challenges with Establishing a Control Strategy for Biosimilars

FDA/PQRI Conference on Advancing Product QualityBethesda, MDOctober 5th

Barbara Rellahan MS, PhDDirector, Product Quality Amgen Inc

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Integrated Control Strategy

2

• The term “control strategy” refers to the combination of input, procedural and testing controls that ensure a process consistently delivers product meeting product quality attribute requirements

• The level of control for each individual quality attribute is determined on the basis of • the criticality level of the attribute • the capability of the process to consistently deliver product that meets 

product quality expectations

• An integrated control strategy includes:

Procedural controls Raw material controls In‐process control (IPCs) testing Process monitoring and

product data monitoring Release specification testing

Stability testing Process validation Characterization testing Control of process variation Comparability testing

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Control strategy needs to ensure process consistently meets  biosimilar product quality expectations and can support commercial production demands

Clinical Development

Reference Product Characterization

Cell Line DS/DP ProcessDevelopment

ClinicalProduction

Process Validation

Stand Alone Product

Post‐Approval

Formalized  integrated control 

strategywith continued 

process verification

Lifecycle Management of a Biosimilar

Analytical Similarity

Reference product  profile defines the target; Design product/process to meet similarity expectations based on characterized reference product range

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Development/Evaluation of an Integrated Control Strategy is an  Iterative Process Performed Throughout a Product’s Lifecycle

4

Quality Target Product Profile (QTPP): The Quality Target Product Profile is defined as a prospective summary of the quality characteristics of a drug product that ideally will be achieved to ensure the desired quality, taking into account safety and efficacy of the drug product (ICH Q8 (R2)) 

Product Quality Attribute Assessment (PQAA):  Scores attributes based on risk  to safety (immunogenicity + toxicology) and efficacy (potency + PK). Highest S/E score = attribute severity  score

Product Quality Risk Assessment (PQRA): Evaluates control based on attribute severity, occurrence (unit op impact), and detection (test strategy/capability)

QTPPDevelopment:  RP is target

Post‐Approval: Biosimilar is target

Integrated Control Strategy

PQAA

PQRA

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Biosimilar Integrated Control Strategy Challenges

5

Development of a control strategy for a biosimilar follows the same principles and  ‘looks’ very much like that of an innovator product.  Points to consider for a biosimilar product are:

• Condensed clinical development period, introduction of the ‘commercial’ process for first in human trial

• Establishment of attribute control ranges Translation of Tier 1 similarity assessment criteria into QTPP 

target range Difficult to identify full allowable attribute range of reference 

product (RP). Biosimilars may be required to have tighter acceptable ranges compared to RP

• Establishment of specifications

• Post‐approval comparability

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Assessment Timing is Optimized to Support Control Strategy Development ‐ Innovator

Pre-clinical Phase 1 Phase 2 Phase 3 Filing Launch/Post-Launch

Commercial Process Development (CPD)

Commercial Process Development (CPD)

Process/Product Characterization

(P&PC)

Process/Product Characterization

(P&PC)Continued Process

VerificationContinued Process

Verification

Process Qualification

(PPQ)

Process Qualification

(PPQ)

PQRAssessment

PQ Assessment

PQRAssessment

PQ Assessment

PQRAssessment

PQ Assessment

Lifecycle Management

Prior KnowledgeProcess

UnderstandingProduct

Understanding

6

QTPP/PQ Assessment

Raw MaterialAssessment

Raw MaterialAssessment

Raw MaterialAssessment

Identify process improvement needs, commercial analytical requirements, and PC

strategy

Evaluate risk of commercial process

prior to PV and refine as controls as appropriate

Finalize commercial control

strategy (i.e. routine testing)

Reevaluate to maintain and, if

needed, improve control

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Biosimilars Have a Condensed Clinical Development Period

7

Identify process improvement needs, commercial analytical requirements and PC strategy

Evaluate risk of commercial process prior to PV and refine as controls as 

appropriate

Reevaluate to maintain and, if needed, improve 

control

Pre‐clinical Ph1 Phase 3 Filing Launch/Post‐Launch

PPQPPQ

PQRAssessment

PQRAssessment

PQ Assessment

Lifecycle Management

QTPP/PQAssessment Raw Material

AssessmentRaw MaterialAssessment

Continued Process Verification

Continued Process Verification

RP characterization

Biosimilarproduct/process understanding

CPDP&PC

Finalize commercial control 

strategy (i.e. routine testing)

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Challenges of a Condensed Clinical Development Period

8

• Commercial process implemented at first‐in‐human study initiation

• PPQ preparation, including design of the commercial control strategy,  may need to be initiated prior to completion of all process/product characterization work

• Analytical similarity assessment is a repetitive and iterative operation conducted throughout process development. Target reference product (RP) attribute ranges may therefore  change during development as experience with the RP increases but needs to be ‘locked’ down as product nears marketing application submission

• Team needs to be flexible and respond quickly to new information

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Challenges with Establishment of Attribute Acceptable Ranges – 1

Yi Tsong, FDA, DIA/FDA statistics Forum 2015

• FDA expectations for what constitutes a Tier 1 attribute are unclear. Creates uncertainly around process capability expectations for select CQAs

• Tier 1 attributes are subject to very tight assessment criteria, these may translate into very tight control limits but,

• Tier 1 assessment uses equivalence margins that are difficult to translate directly into a QTPP target range

1) Translation of Tier 1 analytical similarity expectations into a QTPP target range 

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Challenges with Establishment of Attribute Acceptable Ranges ‐ 1 Tier 1 equivalence margins are difficult to translate into QTPP 

target ranges

10

‐1.5 SD  +1.5 SD

90% CIOn Mean Difference

Mean ‐ X SD Mean + X SD

Tier 1 equivalence margin is a relative measure of the difference in means

Tier 2 assessment criteria provide a range based on an estimate of the RP standard 

deviation

VS

Individual values

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Challenges with Establishment of Attribute Acceptable Ranges ‐ 2

*Schiestl, M. et al. 2011. Acceptable changes in quality attributes of glycosylated biopharmaceuticals. Nat Biotech 29:310‐312.

*2) QTPP attribute target ranges may change over the course of development. • RP range available on the 

market during the development of a biosimilar may not be reflective of the allowable attribute range for the reference product

• Biosimilar manufacturers may be restricted to a much tighter attribute range compared to that of the innovator

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Areas of Uncertainty for the Biosimilar Integrated Control Strategy

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Establishment of Specifications‐ Regulatory expectations for commercial specifications are not completely clear

EU guidanceThe selection of tests to be included in the specifications (or control strategy) for both drug substance and drug product is product specific and should be defined as described in ICH Q6B

US guidanceNo specific reference to expectations for development of a biosimilar controls strategy in guidance documents

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Areas of Uncertainty for the BiosimilarIntegrated Control Strategy

13

Establishment of Specifications• An enhanced, quality by design approach is being used for establishment of 

the biosimilar specifications. Incorporate extensive product and process knowledge  to optimize control strategy and reduce redundant testing

• Specification acceptance criteria will be based on biosimilar process and product knowledge, and historical data

DS specification exampleParameter Test Method Acceptance Criteria

Identity ELISA Pass

Purity SE-HPLC 1.5% HMW

Adventitious agentsBacterial endotoxins 0.2 EU/mg

Bioburden 10 CFU/10 mL

Potency Bioassay 80% to 120% relative potency

Process impurity clearance validation

Optimized IPC testing Drug product specification 

testing  Stability testing

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Areas of Uncertainty for the BiosimilarIntegrated Control StrategyEstablishment of Specification Acceptance CriteriaBase on biosimilar historical data or incorporate RP information into range?

• Specification acceptance criteria should primarily be based on the biosimilar’shistorical data since that is reflective of pre‐clinical and clinical experience, with consideration for process capability

• Minor differences in clinically inactive components may be present between the RP and biosimilar that could impact specification acceptance criteria (eg, C‐terminal lysine variant by CEX‐HPLC)

• Per ICH Q8 (R2) ‘The degree of regulatory flexibility is predicated on the level of relevant scientific knowledge provided…’  Use of RP knowledge should be allowed if justified by process and product understanding

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Specification Acceptance CriteriaHypothetical example 

Biosimilar process understanding

2.53

3.54

4.55

5

7

9

11

60

80

100

120

Defect

Attribute A

Biological Activity

Biosimilar product understanding

50

60

70

80

90

100

110

120

0 1 2

BS ActualBS Predicted

RP range

RP range

TIUL

TI LL

Based on demonstrated process control, and process and product understanding (including that of the reference product), it may be acceptable to use RP characterization data to justify acceptable ranges for some attributes0.5                  1.0                             2.0 

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Expectations for Post‐Approval Comparability is Another Area of Uncertainty for the Biosimilars

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Definitions

ComparabilityComparison of pre‐change and post‐change products from the same manufacturer: Knowledge of product clinical experience, process history, and control strategy

SimilarityComparison of a biosimilar product to a reference product from a different manufacturer: Gaps in prior knowledge (animal, safety, and critical studies)

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Areas of Uncertainty for the Biosimilar Integrated Control Strategy

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Post‐approval comparabilityEU Guidance:It is acknowledged that the biosimilar will have its own lifecycle. When changes to the manufacturing process (active substance and/or finished product) are introduced during development, a comparability assessment (as described in ICH Q5E) should be performed…. there is no regulatory requirement for re‐demonstration of biosimilarityonce the Marketing Authorisation is granted. 

Health Canada Guidance:Once a Notice of Compliance (NOC) is issue for a Subsequent Entry Biologic it is considered to be a new biologic drug (i.e. a "stand‐alone" product) and regulated accordingly. After a manufacturing change to the Subsequent Entry Biologic or reference biologic drug, a Subsequent Entry Biologic sponsor is not required to re‐establish its similarity to its reference biologic drug. 

US Guidance:No specific reference to biosimilar post‐approval comparability expectations in guidance documents

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Areas of Uncertainty for the Biosimilar Integrated Control Strategy

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Post‐approval comparabilityAfter approval, biosimilar products should be considered stand alone products and utilize comparability to support process changes

Biosimilar manufacturer’s can not be locked into the process being used at the time of MA approval. They need to have the ability to make process changes post‐approval

Once approved as a biosimilar,  the biosimilar manufacturer can not be tied to the attribute profile of the reference product that is currently on the market since there may be changes in the RP profile compared to the original profile the biosimilar met to gain regulatory approval

Comparability assessments have a long history of providing a robust assessment of the impact of process changes on product quality and are sufficient to control/limit biosimilar attribute shifts after post‐approval changes

Post‐approval continued process verification and product monitoring are sufficient to control/limit process drift

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Summary• Biosimilars have a condensed clinical development period 

• Biosimilar’s have a unique lifecycle in that during development the characterized reference product range is the target for process development, whereas after approval the biosimilar should become a stand alone product

• Biosimilar specifications should primarily be established based on the biosimilar’s historical knowledge and experience though the characterized RP range may be considered if justified appropriately

• Comparability should  be used to support post‐approval manufacturing changes as this will ensure the quality attribute ranges of the biosimilar’s remain consistent with those of the biosimilar’s pre‐clinical and clinical experience including the analytical similarity assessment that supported biosimilar approval

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• Rick Burdick

• Barry Cherney

• Gino Grampp

• Simon Hotchin

• Margaret Karow

• Tony Mire-Sluis

Acknowledgements

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