Forced Degradation Studies and CQA Determination for Process ...

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Forced Degradation Studies and CQA Determination for Process Development Li Tao, Molecular and Analytical Development Biologics Development Bristol-Myers Squibb Company AAPS2015

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Today’s Talk



Process development and process control for biologics manufacturing



Critical Quality Attributes (CQAs)



Forced degradation of biologics

Biologics Manufacturing Process Biologics are biosynthesized by living organisms through genetic engineering (upstream process) 

Chinese Hamster Ovary (CHO), mouse, yeast, E Coli, etc



Transgenic animals (Goats, pigs, chickens, etc.) or plants

Biologics are purified from expressing media (downstream process) 

Mainly chromatography steps



Output is drug substance (DS)

Drug substance are converted to the final formulation and presentation format to form drug product (DP) 

Filter and fill, dilution, lyophilized, ready to use (RTU), etc

Process Development for Biologics Upstream Cell Line Development Protein Expression

Downstream Protein Purification/ Formulation

• Yield • Cell line purity • Titer • Molecular integrity • Titer • Molecular integrity • Genetic stability • PTMs (glycosylation, etc) • Impurities • Stability

What Constitutes a Well Developed Process? Capable of generating high quality DS or DP consistently with reasonable cost Developing a good biologics manufacturing process requires a deep understanding of: 

Comprehensive product profile described by molecular attributes



Degradation pathway of the drug molecule-can be identified rapidly and systematically by forced degradation studies



Structure-function relationship



Product and degradation attributes are controlled during manufacturing and monitored during storage, the most critical ones are CQAs

Molecular Attributes of Biologics Higher order structures/oligomeric state 

Monomer



High Molecular Weight (HMW) species – Dimer can be more or less active than monomer



Low Molecular Weight (LMW) species – Usually less or equal active than monomer



Particulates (micron and submicron sizes) – Conceptually loss of bioactivity – Higher risk related to immunogenecity

Molecular Attributes of Biologics Primary structure 

From Post-translational modifications (PTMs)

– Glycosylations – N-terminal modifications (N-term pyroglutamation, glycation, carbamylation, gluconoylation, acetylation, etc) – C-terminal truncation or Lys removal – Sequence variants 

From common degradation pathways – Oxidation – Deamidation/isomerization – Fragmentation – Disulfide bond scrambling and other forms (-S-, -S-S-S-)

Which Attributes are Critical to Product Quality? (CQA Determination)  Particulates √ o

Light obscuration, light scattering, MFI, etc

 HMW from aggregation √ o

SEC, AUC, CE-SDS, etc

 LMW from fragmentation/truncation √ o

SEC, AUC, CE-SDS, etc

 Secondary, tertiary, and quaternary structures (folding/unfolding, domain) √ o

CD, DSC, HDX-MS, etc

o

Controlled by process consistency and molecular platforms rather than by assay

Which Attributes are Critical to Product Quality? (CQA Determination)  Glycosylation√ o

Required for effector function such as Antibody‐Dependent Cellular Cytotoxicity (ADCC)

o

May impact pharmacokinetic behavior

o

Rarely changes under normal storage condition

 N- or C-terminal variants X o

Less likely to have an impact on bioactivity

 Oxidation? o

May or may not impact bioactivity

 Deamidation/isomerization? o

May or may not impact bioactivity

Typical Forced Degradation Study Panel Method Condition Thermal 40°C, 4 wk

SE-HPLC

CE-SDS/ SDS-PAGE

Aggre (s)

Aggre (s)

CEX

iCIEF/ Gel-IEF

TPM

Isomer/succi (s)

Isomer/succi (s)

Isomer/succi (s)

Profile change (m)

Profile change (m)

Profile change (m)

Profile change (m)

Deam (s)

Deam (s)

Binding

Bioassay

Loss of Loss of activity (m) activity (s)

(50 mg/mL) Freeze-thaw 5 freeze-thaw cycle (F: -80°D; T: 25°C) (50 mg/mL) Agitation

Aggre (m)

Aggre (m)

Aggre (m)

Aggre (m)

2 days (25°C) (10 mg/mL) Alkaline

Aggre (m)

pH 9, 7 days (25°C) (10 mg/mL) Acidic

Aggre (m)

SS bond cleaving (m)

pH 3.3, 2 days (25°C) (15 mg/mL) H2O2

Profile change (m)

Elo to H2O2 Molar ratio:1/430, 3 hr (25°C) (10 mg/mL) Irradiation ICH (25°C) (10 mg/mL)

Deam (s)

Aggre (s)

Aggre (s) peptide & SS bond cleaving (m)

Profile change (s)

Ox (s)

Profile change (s)

Ox (s)

s and m denote significant and minor changes under each degradation condition, respectively.

Loss of activity (s)

Loss of activity (s)

Forced Degradation Data-Aggregation 6.0

% HMW by CE-SDS

5.0 4.0 3.0

2.0 1.0 0.0

0

12

% HMW by SEC

5.0 4.0 3.0 2.0 1.0 0.0

Ref

Ctr

40C

F-T

Agi

pH9

pH3.3 H2O2

Tbl H2O2

UV

SiOil

Fe

Forced Degradation Data-Bioassay 120

100

% ADCC Activity

80

60

40

20

0

Common Degradation Pathways-Oxidation  Surface exposed Met residues are most susceptible and can be used as oxidation markers

 Impact of Met oxidation can be evaluated 

Generating oxidized samples by H2O2



Measuring oxidation levels on each Met residue by peptide mapping



Assessing bioactivities

 Trp residues are usually more resistant to oxidation except for UV-vis and metal mediated reactions 

An indicator for light exposure and other reactive species



Root cause of many discoloration



Less of a process control issue, since biologics are by default protected from light and heavy metals

Met Oxidation Measured by Peptide Mapping and LC/MS

Forced Degradation Data-Bioassay 120

100

% ADCC Activity

80

60

40

20

0

Forced Oxidation– Case Study 1

Samples Control 0.1% H2O2 3hr 0.1% H2O2 6hr 0.1% H2O2 24hr

%H3ox (Met a)

%H9ox (Met b)

%H19ox (Met c)

%H39ox (Met d)

%L1ox Bioactivity (Met e) (%)

1.0

0.7

1.6

0.6

0.8

107

1.2

1.0

37.5

22.2

1.1

93

1.1

1.3

65.4

40.4

1.2

88

1.1

1.6

97.3

88.9

1.2

73

Summary of Forced Oxidation – Case Study 1  Met a (on HC-CDR1) is not susceptible to oxidation  Bioactivity is not affected by oxidation that is relevant to normal MFG and storage conditions  Extreme oxidative conditions result in nearcomplete oxidation of Met c, but bioactivity is largely retained  Met oxidation is not a CQA for this mAb

Bioassay Potency vs Met Oxidation (Case Study 2)

Common Degradation PathwaysDeamidation  Mostly involves Asn residues going through succinimide formation at close to neutral pH for biologics  Conformational restriction is a main factor affecting site specific deamidation rate  Is it a CQA? Asn

IsoAsp

Succinimide

Asp

Common Degradation PathwaysDeamidation

Analysis of the Forced Degradation Samples by iCIEF 40 35 30

Area %

25 20 15 10 5 0

Acidic Group

Forced Degradation Data-Bioassay 120

100

% ADCC Activity

80

60

40

20

0

iCIEF is More Sensitive Than Peptide Mapping for Deamidation Measurement SampleName: 584309-3

0 Week, 45 °C

Absorbance

0.30

0.20

0.10

0.00 SampleName: 584310-4

2 Week, 45 °C

0.30

Absorbance

0.25

Peptide Mapping Results

0.20 0.15 0.10

Sample

Deam Marker

T0

2.6%

45C_2m

2.6%, 2.7%

45C_3m

2.6%, 2.6%

control

2.7%

0.05 0.00 SampleName: 584311-5

4 Week, 45 °C

0.20

Absorbance

0.15

0.10

0.05

0.00 SampleName: 589475-6 0.14

6 Week, 45 °C

Absorbance

0.12 0.10 0.08 0.06 0.04 0.02 0.00 5.00

5.50

6.00

6.50

7.00

7.50

8.00

8.50

9.00

9.50

10.00

10.50

11.00

11.50

12.00

12.50 Minutes

13.00

13.50

14.00

1

Cumulative Effect of Charge Variants Number of deamidation sites: N Level of deamidation at each site: di

% of molecules without deamidation: = (1-d1)(1-d2)∙∙∙(1-dN) d

N

non-deam

1%

10

90%

2%

10

82%

5%

10

60%

1%

20

82%

2%

20

67%

5%

20

36%

Impact of HMW has to be Evaluated in the Forced Degradation Studies

Conclusions • CQAs identification is critical for biologics process development and manufacturing process control

• Many CQAs are universal for biologics • Some require molecule/mechanism specific studies to identify • Those related to degradation require even more comprehensive studies to determine • Some of the common degradation pathways such as oxidation and deamidation are not CQAs for monoclonal antibodies. • Bioactivity assays may not be sufficient for assessing impact of degradation

Acknowledgment

Rong Yang, Jinmei Fu, Jacob Bongers, Yunping Huang Liji Zhu, Ryman Navoa, Yingchen Cheng, Yemin Xu Wenjun Zhang, Ming Zeng, Wei Wu, Richard Ludwig Tapan Das, Reb Russell, Morrey Atkinson

ASMS'13 Tao

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Thank You!