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Workshop on process validation

CMC Strategy Forum Europe 2013

EBE Process validation satellite session Pragues, 06/05/2013

Kowid Ho

(2)

Scope / background

Process evaluation/validation of biotechnology derived proteins used as active substance in the manufacture of medicinal products (i.e. scope of Q6B)

Address data requirement for process validation/evaluation for submission of a marketing authorisation application or variation.

Process Validation can be based on a traditional or enhanced approach to process development.

Traditional and enhanced approaches are not mutually exclusive.

A company can use either a traditional approach or an

(3)

Process validation biotech drug substance General concepts

Objective:

To establish scientific evidence that a process is capable of consistently delivering a quality drug substance.

Will justify the manufacturing process described in S2.2

More consistency in data submission and assessment

Data expected:

Process evaluation (small and/or full scale)

Process verification (full scale) or continous process verification

+/- Continued process verification

(4)

Process evaluation

Process evaluation studies:

should provide evidence that, when operating in accordance with conditions described in process description, the complete manufacturing process and each step/operating unit have been appropriately designed to obtain a product of the intended

quality.

should include

the evaluation of the ability of each step to obtain output of desired quality at small and/or full scale as appropriate.

the results, demonstrating that when operating in

accordance with the defined controls for material attributes and process parameters, the process is able to deliver

(5)

Process evaluation

Where appropriate, evaluation of selected step(s) operating in worst case and/or abnormal conditions (e.g. cumulative hold time, spiking challenge) could be performed to support or demonstrate the robustness and the capability of the process to deliver product of the intended quality in these conditions.

In some cases, these activities could be built into process verification studies.

Depending on the level of evidence provided to demonstrate the high performance of the step(s) and the relevance of experimental model with regards to the final process, these studies could leverage data

requirements for process verification (e.g. reduced number of batches) and/or control strategy (e.g. alternative approach to end product testing).

Process evaluation: main data to support PAR?

(6)

Process verification

Process verification studies should confirm that the final manufacturing process (i.e. full scale commercial process) performs effectively and is able to produce a drug substance or intermediate meeting its predetermined controls and acceptance criteria.

Process verification data (e.g. process step results, batch analyses) should be presented in the MAA on an appropriate number of batches (to confirm consistency) produced with the commercial process and scale

Process verification studies should normally be completed and included in the Marketing Authorisation Application. In some circumstances, concurrent validation could exceptionally be considered.

As an alternative approach, continuous process verification could

(7)

Continued process verification

Subsequent to successful process validation activities for MAA

Monitor product quality and process performance to ensure that a state of control is maintained throughout the commercial part of the product lifecycle.

To be performed in compliance with EU GMP

Presentation of continued process verification program in MAA to support process validation?

Include extended control system performed at appropriate

frequency, in accordance to internal limits ? acceptance limits ?

Include protocols covering aspects that will be verified on an ongoing basis? Periodicity?

(8)

Continued vs Continuous Process Verification

Continous Process Verification

Continued (/ongoing?) Process Verification Aim - Initial demonstration and/or

maintenance of a state of control

- maintenance of a state of control - Lifecycle management

Frequency - uninterrupted - timely manner

- resumed after interruption / periodic

- could be built into Continuous PV Testing/Monitoring - Not limited to CPP and CQA

- Include process performance Enabler - PAT tools (MSPC, in-line

control…)

- Extensive process knowledge

- GMP compliance

- Control strategy during product lifecycle (ex. design space

(9)

Controls included in PV studies

Controls (e.g. quality attribute, performance indicator, process parameter, controls implicit in the design of the process): normally go beyond the routine control system performed during routine production.

What is the Industry understanding of process performance indicators/parameters for the upstream and downstream processes? Would these terms differ from consistency indicators/parameters?

(10)

[Range tested]

Impact on CQA No demonstrated

impact on CQA

Process Parameter

CPP

Larger range to be tested or consider as potential CPP

[Range tested] > [Target ranges]

[Target ranges] ≥ [Range tested]

Non-CPP

[Range tested] >> [Target ranges]

potential CPP

(11)

Culture steps

Evaluation of cell culture steps:

From the introduction of the starting material in the manufacturing process (e.g. thaw of the WCB) up and beyond production level,

Demonstration of capability of consistently delivering inoculates, harvest(s), and ultimately a drug substance of appropriate quality.

Considering the complex matrices during cell culture and harvest steps, the evaluation/validation could, in part, rely on the analysis of drug

substance and/or intermediates obtained at a later stage of the process.

Include control of:

specific cell traits or indices (e.g. morphological characteristics, growth characteristics (PDL), cell number, viability biochemical markers,

immunological markers, productivity of the desired product, oxygen or glucose consumption rates, ammonia or lactate production rates),

operating conditions (e.g. time, temperatures, agitation rates, working volumes, media feed, induction of production, end of culture).

End fermentation / initiation of harvest(s): appropriately defined and evaluated.

For multiple harvests:

evidence that the quality of the product (e.g. yield, content, post translational modifications such as glycosylation, HCP, DNA) are consistent throughout the harvesting steps, or variability

appropriately managed by pooling strategy.

(12)

Culture steps

Verification of consistency of the process parameters/product quality attributes covering

Includes all culture steps under defined manufacturing conditions

Process parameters and Performance indicators in accordance to proven acceptable ranges

Complete duration of the fermentation process (including entire process time for continuous fermentation)

appropriate number of consecutive runs

For multiple harvests: confirmation that it will not have an impact on the quality and consistency of drug substances batches

Continued Verification could include:

Stability (storage) of cell banks ?

Stability of frozen intermediate ?

Controls related to change in raw materials ?

(13)

Culture steps

Should genetic stability of the cell line be considered as a performance indicator to be part of the validation of the upstream process?

Process parameters and quality attributes to be tested?

Should qualification of biological raw materials and other raw materials be addressed in the guideline and documented in the dossier?

What performance indicators should be considered for the validation of a continuous perfusion process?

How to verify reliability/predictability of small-scale models for the upstream and downstream processes?

(14)

Equipment

Information about key equipment (cell culture bottles, bags, fermeters) used, should be provided. This typically includes information on size and material.

Disposable single use equipment.

assess the suitability of the systems used.

full scale equipment has to be used.

various batches of disposable systems should be used in order to assess their impact on the product quality.

When used for media preparation and/or harvesting: their potential impact on the yield and quality of the active material should be studied

(15)

Multifacility production

Additions of alternative sites:

frequently occurring.

new site is rarely identical to the approved process (e.g. include adaptations and/or optimisations)

Local adaptations:

Normally accepted provided appropriate comparability data are shown. (e.g. different filters with same porosity)

how far can this be stretched? (e.g. different scale, conditions, raw materials, centrifugation vs filtration)

Alternate process

Cannot be ruled out that may give rise to slightly different purity/impurity profile

risk of drift with future changes

How to manage and validated differences between sites?

(16)

Purification

Evaluation:

Capacity of the purification procedures to obtain the desired product and to remove product and process-related impurities (e.g. unwanted variants, host cell derived proteins, nucleic acids, carbohydrates, viruses).

Quality of process intermediates (i.e. appropriate purity/impurity profile for the given stage)

Requires adequate analytical methods

For selected step(s):

e.g. steps for which high impurity or viral clearance are claimed

operating in worst case and/or abnormal conditions (e.g.

cumulated hold times, spiking challenge) performed to document the robustness

(17)

Purification

Evaluation:

Depending on the level of evidence provided: could leverage some process validation and/or control strategy data

requirements.

Process conditions (e.g. column loading capacity, column regeneration and sanitisation, flow rate, length) should be appropriately evaluated.

Performance parameters/indicators (e.g. yield, chromatographic profiles)

Pooling strategy and impact on drug substance consistency

Columns life time:

Demonstration of appropriate performance and integrity (e.g. clearance, collection of intended variants, leaching).

small scale studies: appropriate to estimate and set the maximum number of cycles at the time of MAA,

Hold times

Reprocessing

(18)

Purification

Verification:

Quality of process intermediates (i.e. appropriate purity/impurity profile for the given stage)

Process parameters and Performance indicators in accordance to proven acceptable ranges

Continued Verification could include:

Control of performance and integrity of operating units (e.g.

purification column) ?

Running period and periodic control of quality attribute(s) for which RTRT is done ?

Cumulative studies ?

Reprocessing?

(19)

Reprocessing

Reprocessing: introduced back into the process by repeating a step (e.g. filtration) that is part of the established manufacturing

procedure.

Limited to occasional process excursions.

The reason of the failure should be understood and should not impair the quality of the product.

Could be allowed only under appropriately defined conditions.

Should be described in the MAA.

Validation data expected, demonstrating that the reprocessing step(s) do not impact the quality of the active substance.

What are Industry views on the information to be documented in the dossier in relation to reprocessing? Is it always restricted to an

exceptional event (e.g. mechanical failure of equipment)?

(20)

Process validation for process development following traditional vs enhanced approach

Same objective:

To establish scientific evidence that a process is capable of consistently delivering a quality drug substance.

Data expected:

Process evaluation

Process verification or continuous process verification

+/- Continued process verification

(21)

Process validation for process development following traditional vs enhanced approach

Process Evaluation: higher expectations

Systematic approach using enablers (eg multivariate analysis, PAT tools, DOE, appropriate models including statistical model)

Demonstrated relationship between input/conditions (e.g. material attributes, process parameters) and output (e.g. CQA, Performance indicator)

Robustness demonstrated for selected steps (up to complete process), covering sufficiently large ranges

Demonstration of the suitability and predictability of scale down models (e.g.

qualitative, quantitative, scale dependence)

Demonstration that working within design space delivers a quality drug substance.

What additional studies would you consider in an enhanced approach versus a traditional approach?

How to evaluate and verify reliability/predictability of small-scale models for the upstream and downstream processes?

How to demonstrate validation of adaptive processes (e.g. with feed forward/feed back loops)?

(22)

Process validation for process development following traditional vs enhanced approach

Process Verification:

Compliance of complete process results to control strategy (including IPT and batch analysis) on appropriate number of batches

manufactured at target

Alternative: continuous process verification

Science and risk based, real time approach

Controls of process performance and product quality in a timely manner (e.g. PAT tools)

To be established upon accumulation of sufficient PV database?

Continued process verification could include:

Verification in part performed on an ongoing basis after MA if proper

(23)

EVALUATION VERIFICATION CONTINUED PROCESS VERIFICATION EVALUATION VERIFICATION CONTINUED PROCESS VERIFICATION

TRADITIONAL APPROACH ENHANCED APPROACH

Data to be submitted in MAA

(24)

Workshop on process validation

Closing remarks

(25)

Process validation biotech drug substance General concepts

Objective:

To establish scientific evidence that a process is capable of consistently delivering a quality drug substance.

Will justify the manufacturing process described in S2.2

More consistent data submitted and assessed

Data expected:

Process evaluation (small and/or full scale)

Process verification (full scale) or continous process verification

+/- Continued process verification

(26)

Process validation biotech drug substance General concepts

Issue with terminology

Process

Characterisation: to design intended process

Evaluation: for the process representative of final process

Verification: full scale +/- at target

Continued Verification

Process PERFORMANCE indicators/parameters vs

CONSISTENCY indicators vs KEY PERFORMANCE indicators

Differenciation between input and output?

(27)

[Range tested]

Impact on CQA No demonstrated

impact on CQA

Process Parameter

CPP

Larger range to be tested or consider as potential CPP

[Range tested] > [Target ranges]

[Target ranges] ≥ [Range tested]

Non-CPP

[Range tested] >> [Target ranges]

potential CPP

Expected to be included in process validation studies

Impact on Performance

indicators

No impact on Performance indicators

(28)

Process validation biotech drug substance General concepts

Justification of PAR

Mainly based from evaluation data?

Excursion from PAR: GMP issue?

Justification of NOR

Mainly based from verification data?

(29)

Continued vs Continuous Process Verification

Continous

Process Verification

Continued (/ongoing?) Process Verification Aim - Initial demonstration

and/or maintenance of a state of control

- maintenance of a state of control

- Lifecycle management Frequency - uninterrupted

- timely manner

- resumed after interruption - periodic

Testing/Monitoring - Not limited to CPP and CQA - Include process performance Enabler - PAT tools (MSPC, in-line

control…)

- Extensive process knowledge and

understanding

- GMP compliance

- Control strategy during product lifecycle (ex. design space verification)

MAA Submission - Included in the MAA - Prospective proposal

- May be described in MAA

(30)

Process validation biotech drug substance General concepts

Non-CPP measures included:

Markers of process consistency

Only if non redundant or indicator status?

Material and intermediate attributes linked to CQA outcomes

Indirect or indicator parameter or attributes demonstrating drift or loss of control

Multi-signal/multi-parameter probes

(31)

30 Agence nationale de sécurité du médicament et des produits de santé

Upstream

Genetic stability of the cell line

Done prior to validation

Already captured in Q5s

Process parameters and quality attributes to be tested

Inputs: can be varied; eg Process parameters

Outputs

CQA

Performance indicators (cell density, viability)

Consistency indicator ?

“Indicator”: more appropriate for output?

Criticality continuum… where to draw the line?

Controlled within narrow range?

For early warning sign?

(32)

Upstream

Multi-harvest approach

Strategy company dependent

Need to cover complete harvest

Performance indicators for the validation of a continuous perfusion process

Indicators and QA not that different from discontinuous fermentation

(33)

Upstream & Downstream

Qualification of biological raw materials and other raw materials

Difficult to incorporate different lots in to validations studies

Evaluation to be performed to analyze potential variability

Risk based approach

“Critical Raw Material” need to be identified?

Test frequency

Depends on process and product understanding, overall control strategy…

Less understood : More testing

For non release assay: demonstrated fit for purpose

(34)

Upstream & Downstream

Single use

Risk assessment

impact on performance and QA; eg could be handled as high risk raw material for upstream

attention on extrables/leachables

Quality of the bags (eg sterility of bags) covered by vendor qualification?

Same principles for downstream and upstream

(35)

Upstream & Downstream

Multifacility

List of difference + justification

How far can be stretched? Difficult to draw the line

Purpose and outputs still the same?

Risk assessment on potential impact / comparability exercise

PV to be done

(36)

Upstream & Downstream

Scale Down Models (SDM)

Incomplete representation but needed !

Description and justification of inputs, design and outputs

Can explore large ranges

Outputs:

Product quality attributes > Performance indicators > Other characteristics

SDM should match large scale at target

Statistical approach: difficult to conclude with limited number of full scale batches

Non-equivalence & offsets

"a question of confidence…“

(37)

Downstream

Reprocessing

Extraordinary

Reprocess step does not impact product quality

Root cause clearly identified and does not impact product quality

Mainly limited to re-filtration or re-concentration steps

Adaptive process and feed back loops

No real example of product quality directly measured in the process; future?

(38)

Downstream

Hold times:

Long vs short time storage

Often, storage of intermediates is impractical at small scale

Cumulative studies of DS bulk:

if stored > weeks; impact on DP stability to be assessed

If stored > months unreasonable, could take years

Intermediate hold

Cummulating unlikely; unreasonable?

Program to be included in Continued PV?

(39)

Downstream

Pooling intermediate

Intemediate of specified quality

Homogeneity ensured by mixing studies

Option to be described in dossier

(40)

Enhanced/QbD approach

Additional studies for enhanced approach

Mixture; PV approach likely to be a continuum from tradition to enhanced

More integrated approach

including Non-clinical and clinical aspects

Describe and manage influence of CPP on CQA

Control of materials (RM, intermediates…)

SDM

Flexibility…

Considered as an OUTCOME rather than the AIM of enhanced

(41)

EVALUATION VERIFICATION CONTINUED PROCESS VERIFICATION EVALUATION VERIFICATION CONTINUED PROCESS VERIFICATION

TRADITIONAL APPROACH ENHANCED APPROACH

Data to be submitted in MAA

(42)

Closing remark

Continuous discussions…

to be continued…

Thanks you all !!!

(43)

Workshop on process validation

Closing remarks

Kowid Ho

(44)

Process validation biotech drug substance General concepts

Objective:

To establish scientific evidence that a process is capable of consistently delivering a quality drug substance.

Will justify the manufacturing process described in S2.2

More consistent data submitted and assessed

Data expected:

Process evaluation (small and/or full scale)

(45)

Process validation biotech drug substance General concepts

Issue with terminology

Process

Characterisation: to design intended process

Evaluation: for the process representative of final process

Verification: full scale +/- at target

Continued Verification

Process PERFORMANCE indicators/parameters vs

CONSISTENCY indicators vs KEY PERFORMANCE indicators

Differenciation between input and output?

Process performance indicators and parameters that don’t impact CQA’s do not need to be included as regulatory commitments in the MAA?

Point that will require further discussion…

(46)

[Range tested]

Impact on CQA No demonstrated

impact on CQA

Process Parameter

CPP

Larger range to be tested or consider as potential CPP

[Range tested] > [Target ranges]

[Target ranges] ≥ [Range tested]

Non-CPP

[Range tested] >> [Target ranges]

potential CPP

(47)

Process validation biotech drug substance General concepts

Justification of PAR

Mainly based from evaluation data?

Excursion from PAR: GMP issue?

Justification of NOR

Mainly based from verification data?

(48)

Continued vs Continuous Process Verification

Continous

Process Verification

Continued (/ongoing?) Process Verification Aim - Initial demonstration

and/or maintenance of a state of control

- maintenance of a state of control

- Lifecycle management Frequency - uninterrupted

- timely manner

- resumed after interruption - periodic

Testing/Monitoring - Not limited to CPP and CQA - Include process performance Enabler - PAT tools (MSPC, in-line

control…)

- GMP compliance

- Control strategy during

(49)

Process validation biotech drug substance General concepts

Non-CPP measures included:

Markers of process consistency

Only if non redundant or indicator status?

Material and intermediate attributes linked to CQA outcomes

Indirect or indicator parameter or attributes demonstrating drift or loss of control

Multi-signal/multi-parameter probes

Shear forces, gas exchange rates, column-ligand density, non- critical attribute abundance or quality

(50)

Upstream

Genetic stability of the cell line

Done prior to validation

Already captured in Q5s

Process parameters and quality attributes to be tested

Inputs: can be varied; eg Process parameters

Outputs

CQA

Performance indicators (cell density, viability)

Consistency indicator ?

“Indicator”: more appropriate for output?

(51)

Upstream

Multi-harvest approach

Strategy company dependent

Need to cover complete harvest

Performance indicators for the validation of a continuous perfusion process

Indicators and QA not that different from discontinuous fermentation

(52)

Upstream & Downstream

Qualification of biological raw materials and other raw materials

Difficult to incorporate different lots in to validations studies

Evaluation to be performed to analyze potential variability

Risk based approach

“Critical Raw Material” need to be identified?

Test frequency

Depends on process and product understanding, overall control strategy…

(53)

Upstream & Downstream

Single use

Risk assessment

impact on performance and QA; eg could be handled as high risk raw material for upstream

attention on extrables/leachables

Quality of the bags (eg sterility of bags) covered by vendor qualification?

Same principles for downstream and upstream

(54)

Upstream & Downstream

Multifacility

List of difference + justification

How far can be stretched? Difficult to draw the line

Purpose and outputs still the same?

Risk assessment on potential impact / comparability exercise

PV to be done

(55)

Upstream & Downstream

Scale Down Models (SDM)

Incomplete representation but needed !

Description and justification of inputs, design and outputs

Can explore large ranges

Outputs:

Product quality attributes > Performance indicators > Other characteristics

SDM should match large scale at target

Statistical approach: difficult to conclude with limited number of full scale batches

Non-equivalence & offsets

"a question of confidence…“

Depend on the intended use

Ideal should include off-target; doable for downstream? Could be done for upstream?

Could be leverage by proper control strategy / continued PV

(56)

Downstream

Reprocessing

Extraordinary

Reprocess step does not impact product quality

Root cause clearly identified and does not impact product quality

Mainly limited to re-filtration or re-concentration steps

Adaptive process and feed back loops

No real example of product quality directly measured in the

(57)

Downstream

Hold times:

Long vs short time storage

Often, storage of intermediates is impractical at small scale

Cumulative studies of DS bulk:

if stored > weeks; impact on DP stability to be assessed

If stored > months unreasonable, could take years

Intermediate hold

Cummulating unlikely; unreasonable?

Program to be included in Continued PV?

(58)

Downstream

Pooling intermediate

Intemediate of specified quality

Homogeneity ensured by mixing studies

Option to be described in dossier

(59)

Enhanced/QbD approach

Additional studies for enhanced approach

Mixture; PV approach likely to be a continuum from tradition to enhanced

More integrated approach

including Non-clinical and clinical aspects

Describe and manage influence of CPP on CQA

Control of materials (RM, intermediates…)

SDM

Flexibility…

Considered as an OUTCOME rather than the AIM of enhanced approach for regulators

Also depends on data and knowledge shared

(60)

EVALUATION VERIFICATION CONTINUED PROCESS VERIFICATION EVALUATION VERIFICATION CONTINUED PROCESS VERIFICATION

TRADITIONAL APPROACH ENHANCED APPROACH

Data to be submitted in MAA

(61)

Closing remark

Continuous discussions…

to be continued…

Thanks you all !!!

References

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