Bioassay development for complex molecules- Challenges ... · Bhavin Parekh, Ph.D. Group...
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Bioassay development for complex molecules- Challenges with Bispecific
Molecules
Bhavin Parekh, Ph.D.Group Leader-Bioassay Development
Eli Lilly and CompanyIndianapolis, IN 46221
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Outline
Background Bioassay expectations
Developing a MOA-based strategy for bispecific molecules
Case Study: Challenges in development, control and analysis of bioassays for a bispecific antibody
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Regulatory expectations for Bioassays
Reflective of the mechanism(s) of action (MoAs) of the product
Sensitive to structural changes that can impact product safety and efficacy
Stability indicating (detection of degradation)Well controlled (low CV, tight precision, etc.)Usable as a QC release assay under GMP quality
systemBinding based assay may be acceptable to support
early clinical phase. Need MOA-reflective, functional assay by pivotal.
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Bispecific antibodies come in many flavors
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Different targets of Bispecific antibody
Both targets are soluble ligands
One target is soluble ligand and other is
cell surface receptor
Both targets arecell surface
receptors, buton different cells
Both targets arecell surface receptors,
buton the same cell
Influences the strategy of what type/number of potency assay are relevant
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Potency Assay strategy for BsAbs
BsAbs have the unique potential to mediate two types of biological effects (Additive or synergistic) Additive effects
Biological outcome with the BsAb is the sum of the two independent target When the targets bind to two cell types, independent two bioassays seem
appropriate When the targets bind to the same cell type, a single bioassay is appropriate
mAb A (80%)mAb B (70%)
BsAb (50%)
% v
iabl
e ce
lls
100%
Conc.
BsAb = mAb A + mAb B
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Potency Assay strategy for BsAbs
BsAbs have the potential to mediate two types of biological effects (Additive or synergistic)Synergistic effectsBiological effect of BsAb is greater than the sum of the two
independent targets.Can be manifested at different biological levels (physiological
and/or cellular)Physiological synergy
Targets can be different cell types (e.g., B-cell and T-cells) with different signaling pathways BUT provide a more synergistic physiological outcome revealed in a preclinical animal model
This synergistic outcome cannot be reflected in a unique combined assay. Thus, two separate and distinct bioassays is appropriate
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Potency Assay strategy for BsAbs
Synergistic effectsCellular synergy
Targets present on same cell populationSpecific synergy assay is needed
mAb A (80%)
mAb B (70%)
BsAb (10%)
% v
iabl
e ce
lls
100%
BsAb > mAb A + mAb B
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Bioassay strategy for Bispecific antibody: How many assays?
Anti-receptor 2
Anti-receptor 1VL2 VL2
VH2VH2
P P
P P
Synergistic assayAntibody B (Bispecific)
Receptor 2 assay
Receptor 1 assay
Bioassay Strategy:
- If Receptor 1 and Receptor 2 have similar signaling pathway: Synergistic assay
- If different signaling pathway: Two individual Cell based assay
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Case Study: BsAb
Targets 2 receptors (M and E) involved in cancerCan be expressed on same cells
Receptors have been targeted independently with specific mAbs
In cells expressing both receptors, signaling pathways via receptor M and E can cross talk
Receptor have been shown to hetero-dimerize
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Case Study: Bispecific Ab binding to two receptor targets (M and E) on the same cell
Objectives:
Develop potency assay strategy for BsAb that is reflective of the synergistic MOA
mAb for Receptor E (Ab 2)Combo, mAb M+E
BsAb
mAb for Receptor M (Ab 1)
ControlReceptor M
Receptor E
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Requirements for a synergy assay for BsAB
Cell line has to express both receptors Readout has to be sensitive to inhibition of both receptors BsAb activity greater than
Individual mAb M and mAB E Combinaton of mAb M and mAb E
mAb M + mAb E
mAb MmAb E
BsAb% v
iabi
lity
100%
Conc.
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0.00
2000000.00
4000000.00
6000000.00
8000000.00
10000000.00
12000000.00
0.01 0.10 1.00 10.00 100.00
RLU
Concentration (nM)
Synergy assay- Finding the correct cell line
Receptor E AbControl
Receptor M Ab
Combi. TherapyRecep.M Ab +
Recep.E Ab
Bispecific Antibody
Cell line G provides response to Receptor M and not Receptor E, thus can not provide mechanistically relevant synergistic assay.
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0.00
1000000.00
2000000.00
3000000.00
4000000.00
5000000.00
6000000.00
0.01 0.10 1.00 10.00 100.00
RLU
Concentration (nM)
Receptor M AbControl
Receptor E Ab
Combi. TherapyRecep.M Ab +
Recep.E AbBispecific Antibody
Cell line F provides response to Receptor E and not Receptor M, thus can not provide mechanistically relevant synergistic assay.
Synergy assay- Finding the correct cell line
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In cell line F, BsAb shows superior effect from individual Abs and from Combo.
Synergy assay- Finding the correct cell line
Lum
ines
cenc
e Receptor M Ab
Combo (M + E Abs)BsAb
Receptor E Ab
Antibody conc. (nM)
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Potency analysis of typical mAbs vs. BsAb
a
cb
d
a
d
b
Concentration
Sign
al
y = d +a - d
1 + (conc/c)b a- lower asymptoted- upper asymptoteb- slopec- EC50
mAb M
mAb E
BsAb
% v
iabi
lity
100%
Conc.Synergistic assay profile Change in EC50, asymptotes Not amenable to parallelism test How do we adequately capture the biological change? How would dose-response curve shapes change upon loss of
stability at either sides
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Analysis of non-parallel curves
Well documented in the field of pharmacologyStudy of partial agonist or antagonistBiological activity is represented by change in EC50 and
relative change in asymptote (referred to as Efficacy)
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New approach for determining relative potency/efficacyfor BsAb with synergistic activity
- BsAb changes two different aspects of the dose response (EC50 and asymptote ratio)
- For Bispecifics with different asymptotes: Efficacy = Proliferation reduction/ EC50
= (Upper asymptote/Lower asymptote)---------------------------------------------------
EC50
Cell line Ligand AnalyteA (Upper asympt.)
D (Lower asympt.)
Proliferation reduction (PR=A/D)
EC50 (nM)
Efficacy factor (EF=PR/C)
FNo
ligand Recep. E Ab 6370000.00 2200000.00 2.89 0.56 5.16
Recep. M Ab 6180000.00 6100000.00 1.01 N/A N/A
Combo-1 6700000.00 1010000.00 6.63 0.72 9.21
BsAb B 6290000.00 702000.00 8.96 0.16 56.00
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AcknowledgementsBioassay groupPiyush VyasMaroun BeyrouthyDarren KamikuraSara LallyDenise LyonsJane SternerSharon SibleyJeanne HelmreichClaudius TapiaJason LehmanTeresa LedfordGretchen Smith
StatisticsKristi GriffithsEric AdamecShu ZhengKevin Guo