4034oph1_01_fowler
TRANSCRIPT
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PAT for BiologicsEnsuring Quality of Biologically
Produced Drugs
FDA Advisory Committee on Pharmaceutical Sciences April 13, 2004
Parrish Galliher and li!a"eth Fo#ler $cellere%
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Xcellerex View of PAT
& Process .no#lede ained throuh processanalytics and statistically desined processoptimi!ation studies
& Processes desined (or /uality
& Continual monitorin ensures process control
& is. "ased approach to /uality PA) providesdata
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Key Issues in Biologics
Production
& +ioloical variation in production o( material - Animal to animal variation
- Cell culture variation
& +ioloical sa(ety - un.no#n pathoens& nrelated impurities #ith un.no#n activities
More
biological
variables
Greater
need for
PAT
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Product Ris !anage"ent
Present inimal process chane allo#edProcess parameters used as surroates (orproduct /uality monitorin
elease and some in5process testin used toensure product consistency
Future eal5time monitorin provides increasedassurance o( process and product /uality
consistency
*ncreased process understandin ena"les ris.5ad6usted evaluation o( process 7 product data
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Real#Ti"e Process !onitoringBiotec$nology Drugs
Fermentation
Puri(ication
Formulation
Fill Finish
Present
Cell ro#th
Cell via"ility
eta"olic parameters8d92, p:, lucose;
Process parameters89D, p:, Flo# rate,Conductivity;
AP* concentrationnvironment
Fill volume
Future
AP* content
AP* /uality
*mpurities
+io"urden 7 viruses
AP* /ualityContent uni(ormity
%cipient uni(ormity
*mpurity levels
Sterility
AP* concentration AP* /uality
*mpurity clearance
+io"urden 7 viruses
Purpose
Controlproduct /uality
nsure"iosa(ety
Control product/uality
nsure impurityremoval
nsure "iosa(ety
nsure product
nsure uni(ormity
nsure sa(ety
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Value of PAT for Biologics
& nsure product /uality remains consistent& Assess deviation impact in real time
- Avoid costs o( processin unreleasa"le "atches
- Data 6usti(ication o( "atch release
& Continual process monitorin o"viates need (orprocess validation
& educe testin re/uirements at end o( process
& *ncrease process .no#lede
- *denti(y critical steps and parameters that impact/uality
- *mprove ris. assessment validity
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!anufacturing In%est"ent Ris
& Savins via 9n5year ?20,000,000 annual "udet, (ully loaded
?1,000,000 cost per "atch, (ully loaded @0 overall "atch success rate - 1B "atches
- Cost o( lost "atches ?2,000,000>year
Possi"le savins via on5line (ermentation"io"urden ?1,000,000>year
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Xcellerex PAT Progra"
Process De%elo&"ent ' Analytics
Proram *nitiative
& Process Development - Automation 5 :ih throuhput
screenin
- Statistical processoptimi!ation
& Process Analytics - Product =uality - microarray
lycosylation analysis
- Process control via non5invasive sensors - p:, D92,optical density, *
- 9n5line environmentalmonitorin - non5via"leparticulates
+ene(it
& 9ptimi!ed process (rom starto( clinical manu(acturin
& %amine more parameters inless time
& eal time assessment o(product /uality
& on5invasive monitorin o(process parameters
& eal5time assessment o(environmental control
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Xcellerex PAT Progra"
!anufacturing
+ene(it
& inimi!e operator errors
& arly detection o( deviations
& Protect product /uality
& apid "atch release
& inimi!e environmentalcontamination
& *ncrease (le%i"ility
& inimi!e cross5contamination
Proram *nitiative
& Automation
- lectronic "atch records
- on5invasive sensors - p:and D92
- 9n5line /uality assurance
& Controlled environmentmodules
- 9perator separation
& Disposa"les
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Knowledge !anage"ent
e(actory)
eFACTORY™ Knowledge Management•Data
•Experiments
•Methods
PD
•Data
•Protocols
•Methods
Quality
•Doc Approvals
•Doc Revisions
•Change control
QA Documentation
•Lot release
•Exceptions
•Deviations
QA Release
•Batch data
•Trending
•BPRs
Mfg
MPro!ectsec"re portal
Supply Ops
•#endors
•Mat$ %low
•&nventor
Quality Control
•Test Methods
•'ample stat"s
•Trending
Finance
•Contract
•&nvoices
•Accr"als
Proj Mgmnt
•Contract
•Phases
•(o"r pro!ect
Reg Affairs
•)DA contact
•&*D o"tlines
•'"+missions
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Fractional
Factorial Wells
Center Point
Wells
Sigma Medium
Wells
Number of
Wells
256 20 12
Average !600 0"2#1 0"$05 0"$2$
C% of !600&
avg
$"'( $"6( '"6(
A))ro*imate
Cell !ensit+ at
average !600
,MM cells-ml.
1"2 1"5 1"'
C% based on
a))ro*imate
cell densit+& MM
cells-ml
10"2( #"'( 1'"0(
Normal M/ 0"# MM
cells-ml
est condition 1"3 MMcells-ml
Cells still 34( viable
Process O&ti"i*ation +y DOE
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Auto"ation, eBatc$ Record
Purification
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-tatistical Process .ontrol
Step 1
Step 3
Step 2
Step 4
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.$allenges in A&&lying PAT to Biologics
& *nvestment in "rinin analytics on5line
& *nnovation to develop analytical tools to assesscritical attri"utes
& %tensive data accumulation needed durindevelopment to identi(y critical attri"utes andappropriate limits
& eulatory uncertainty
- ore data may reveal more variation - Strinency o( limits related to criticality o( impact
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Regulatory Ris wit$ On#line Analytics
& Data
- :o# much data is too much data
- Collection interval 5 Continuous versus intermittent
- :o# to use the data - speedin release or real5timerelease
& oise
- :o# to handle spurious spi.es in continuous on5linedata
- ay need e%tra validation to inore these
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.ontinual En%iron"ental !onitoringTotal Particulates during .$ro"atogra&$y -te&
1000
00
400
200
0
B00
2 F 5 A u , 5 0
2
1 G H 2
2 F 5 A u , 5 0
2
2 1 4 B
2 G 5 A u , 5 0
2 0 1 4 4
2 G 5 A u , 5 0
2 0 @ 3 G
2 G 5 A u , 5 0
2
0 H 4 1
2 B 5 A u , 5 0
2 0 H 1 0
2 B 5 A u , 5 0
2 0 @ 1 H
2 B 5 A u , 5 0
2
1 3 1 2
2 B 5 A u , 5 0
2
1 G 0 B
2 B 5 A u , 5 0
2 2 1 0 4
2 G 5 A u , 5 0
2
1 3 3 3
2 G 5 A u , 5 0
2 1 G 3 0
2 G 5 A u , 5 0
2 2 1 2 0
2 B 5 A u , 5 0 2
0 1 1 1
P a r t i c u l a t e s I 0 E H J
p e r ( t 3 8 % 1 0 5 3 ;
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-u""ary
I"&act of PAT
& easure product /uality in process stream
& *ncreased understand o( process - product /ualityrelationship
& Continual process monitorin o"viates need (or processvalidation
& na"les science5"ased decision ma.in in manu(acturin
& educes "atch release time, increases plant capacity
&
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O&& tunity
&& tunity
P r o c e s s K n o w l e d g e
Present
Future
Result, Better Quality ' /ower
.O0- for Entire Industry
P A
T
P A
T
fficienc!