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OPTIMIZING THE SIMULTANEOUS TRANSFER OF TWO DRUG SUBSTANCE PRODUCTION PROCESSES TO A START-UP CONTRACT MANUFACTURING ORGANIZATION Adam Myrold , David Cate, Steve Hohwald, Aaron Goerke Global MSAT Drug Substance BioProcess International Conference & Exhibition 06Oct2016

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Page 1: OPTIMIZING THE SIMULTANEOUS TRANSFER OF TWO DRUG …s3.amazonaws.com/JuJaMa.UserContent/eb8eec47-0ade... · of unexpected scale-up issues Shared raw materials and similar QC tests

OPTIMIZING THE SIMULTANEOUS TRANSFER OF

TWO DRUG SUBSTANCE PRODUCTION PROCESSES

TO A START-UP CONTRACT MANUFACTURING

ORGANIZATION

Adam Myrold, David Cate, Steve Hohwald, Aaron Goerke

Global MSAT Drug Substance

BioProcess International Conference & Exhibition

06Oct2016

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Table of Contents

Background

Optimizing Efficiency of a Dual Process Transfer Process Selection

Equipment & Automation Design

Streamline Characterization & Validation

Engineering Runs & PPQ Planning

Project Management: Lessons Learned & Best Practices

Project Planning

Knowledge Management

Summary

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Why transfer to a CMO?

Get product to patients on-time!

Need to meet patient demand quickly without wasteful inventory

Internal manufacturing network is at capacity decision point

Large pipeline

Long lead times and large capital costs limit internal expansion

CMO Production

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…but Tech Transfers aren’t so simple!Biologics tech transfers are lengthy and costly

Involve many functions aligning (e.g. QA, MSAT, QC, etc.)

Regulatory complexity and timeliness

Typically takes 18 – 36 months from kickoff to approval for a single product (site selection is key)

Large costs associated with each transfer (i.e. capital cost, characterization/validation cost, filing cost, plant downtime, changeover, resources, etc.)

Need to optimize transfer time to quickly meet patient demand!

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Past Success Future Optimization

• Successfully transferred >30 DS processes since 2008 (internal and external transfers)

• 3 recent successful CMO transfers

Transfer CMO 1 CMO 2 CMO 3

Transfer Time 28 months 24 months 22 months

Status Licensed Licensed PAI Completed

Performance96% Success Rate

(>50 Runs)99% Success Rate

(>140 Runs)PPQ Successful

Where do we go from here and how do we build on our success?

1. Transfer a single product even faster (can only go so fast)

2. Transfer process, not product Can transfer products together

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Optimizing Efficiency of a Dual Process Transfer

Process Selection

Equipment & Automation

Design

Streamline Characterization

& Validation

Engineering Runs and PPQ

Planning

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Process Selection

Similar mAb processes allow for efficient facility fit (same scale allows for equipment

sharing and buffer prep as well)

Standard DS process is ideal for fitting a startup facility with limited experience

Previously licensed processes reduce the risk of unexpected scale-up issues

Shared raw materials and similar QC tests

Risks: May not be the best process selection for capacity relief/demand response

Centrifuge-DF Harvest

Chromatography Column 1

Chromatography Column 2

Chromatography Column 3

Virus Filtration

Low Concentration UF/DF - Formulation

Filtration - Freeze

Centrifuge-DF Harvest

Chromatography Column 1

Chromatography Column 2

Chromatography Column 3

Virus Filtration

High Concentration UF/DF - Formulation

Filtration - Freeze

Process 1 Process 2

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Equipment & Automation Design

Fast & Robust

Change from manual to automated valve switch and priming

Both DS processes use the same, or similar,

automation recipes and batch record setup

Maximized shared equipment and purchased/modified

product specific equipment when necessary

Dry & wet testing of process (dry run with batch records and wet

test automation)

Risks: Trying to standardize equipment and automation too much for processes could cause less than ideal fit (e.g. UF/DF system holdup too large for high concentration process- slight yield compromise)

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Quality Risk Management Plan Streamline

Characterization & Validation

• Risk-rank out some characterization studies using scaling calculations and network experience

• Implement single-use systems for microbial control, which reduced cleaning validation effort

Utilize Technical Risk Assessments

Remove Centrifuge Characterization• Wide ranges of flow rates and bowl speeds have

historically been studied (clinical & commercial scale) with limited product quality (PQ) impact

• Multiple types of centrifuges have previously been used with no PQ impact

• Similar performance with most of our antibody centrifugation, so same assessment can be used

Remove Cleaning Validation for Final Fill• Implement steam-on single-use connections and

fill line so cleaning validation is not necessary• Utilize same single-use fill line as DP, so no

additional extractable/leachable assessment necessary

• Same fill line used in both processes and same assessments used

• Final product sampled for routine microbial assessment still

> 500 FTE Hours Saved!

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Quality Risk Management Plan Streamline

Characterization & Validation…continued

• Mock pool mixing & buffer mixing

• Microbial control during equipment hold

• Validated reuse of buffer filters

• Solution anti-microbial effectiveness

Leverage Existing Validation &

Bracketing/Family Approaches

• Risk assessments do not always catch everything

• Sometimes model solutions do not accurately represent the product (e.g. viscous pool mixing)

Risks

Save Cost/Time by Reusing Buffer Filters• Processes use the same buffers, same volumes,

and same filters• Filters for reuse and are not product-specific• Buffer specs tested each batch, in-process pools

tested for bioburden, and extractables/leachables validated

• Saves time on filter installation and saves on filter costs

Worst-Case Model Solution for Pool Holds• Perform “worst-case” microbial growth

promotion study to compare model solution with process pools

• Perform mock process pool holds in vessels using a single “worst-case” model solution (if not already completed in facility)

• Validates pool hold times for all processes where model solution is considered “worst-case”

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Engineering Runs and PPQ Planning

Facility is cGMP ready prior to ER

• Batch Records and SOPs Approved

• Equipment Validated

• Analytical Methods Validated

• Discrepancy Management & Change Control System in Place

Reuse of resins and membranes during PPQ

Tests DMS and CC systems prior to PPQ

Reduces workload and last-minute changes prior to PPQ

Minimize number of engineering runs and PPQ

runs

Can test both processes with the same ER

Process Knowledge + Characterization + Validation + Risk

Assessments + Wet Testing

* Temptation to run the process non-cGMP to be able to make changes easier “on-the-fly” will result in the tradeoff of loss of resin savings between ER and PPQ

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Project Management:

Lessons Learned & Best Practices

Project Planning

Knowledge Management

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Project Planning

Establish Clear Roles and Responsibilities Early

Align on Quality Agreement and Master

Transfer Plan Early

Develop Reasonable Project Schedule and

Resource Plan

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Knowledge Management

Joint Files

Process 1 & 2

GNE Files

Process 1 & 2

CMO Files

Process 1 & 2

Single Shared

Database

Process 1

GNE Files CMO Files Joint Files

Process 2

GNE Files CMO Files Joint Files

Knowledge Sharing Document Workflow/Tracking

Determine Critical Path

Document

Draft due date

Review 1 due date

Adjudication 1 due date

Final Review/Approval due date

Complete

On Track

Risk of Delay

Delayed

Workflow + Tracking

• All comments must be addressed during adjudication• Set meaningful timelines

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Summary: What, Why, and How?

Improve Agility

• Improve patient demand response

• Reduce internal network burden

Optimize Efficiency

• Optimal process selection

• Assess process risks

• Utilize early wet runs

• Streamline validation

Lessons Learned

• Clearly define scope and responsibilities

• Plan early and with purpose

• Organize!

Optimization of process transfers to supply patients quickly

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Doing now what patients need next

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Thank You

Contact info: [email protected]