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Di d Ch t i ti f E 5 i hibitiDiscovery and Characterization of Eg5 inhibition based ADC
19th RSC-SCI Medicinal Chemistry Symposium Cambridge UK19th RSC-SCI Medicinal Chemistry Symposium Cambridge, UK.September, 2017
Cristina Nieto-Oberhuber, PhD, Novartis Institutes for Biomedical Research Basel SwitzerlandNovartis Institutes for Biomedical Research, Basel, Switzerland
ADC as Cancer TherapeuticsADC schematic: ADC trafficking and release of drug:
Adapted from Solot et al, Nat. Rev. Drug Disc. 2013
Antibody Linker DrugAdapted from Senter et al, Nat. Biotech. 2012
Antibody-Linker-Drug
Modular drug comprised of:• Monoclonal antibody specific to tumor antigen
• Kadcyla™ (Immunogen, Genentech/Roche) is approved for breast cancer (DM1 Maytansine)• Monoclonal antibody specific to tumor antigen
• Chemical linker (cleavable or non-cleavable)
• Potent LMW compound, most commonly
for breast cancer (DM1, Maytansine)
• Adcetris ™ (Seattle Genetics) is approved for NHL/ALCL (Auristatin)
cytotoxic • >/= 30 additional ADCs in the clinic– Sievers, E. L.; Senter, P. D. Annu. Rev. Med.
2013, 64,15.
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ADC as Cancer Therapeutics• IgGs are large hydrophilic molecules (150kDa) that do not diffuse across membranes and are above renal filtration limit (t1/2 ca. 4
weeks in humans)
Antibody and Payload Conjugation
• Serve as a vehicle for selective delivery of the drug to the tumor cell
• The primary routes of clearance of IgG1 are:
– Pinocytosis
– Receptor (target)-mediated endocytosis
• Conjugation Strategies
Adapted from Panowski et. al. 2014. mAbs 6(1):34-45
Challenges of Conventional Conjugation Advantages of DAR controlled conjugates:Challenges of Conventional Conjugation• High DAR species
-Increased toxicity-Rapid clearance leads to poor PK-Reduced stability/high hydrophobicity
• Disruption of native amino acids
Advantages of DAR controlled conjugates:• Improved stability• Improved PK • Reduced off-target toxicity• Increased efficacy• Newer clinical ADCs are focusing on
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s up o o a e a o ac ds• Manufacturing challenges• Mature clinical ADCs are heterogeneous with respect to Drug Antibody Ratio (DAR)
e e c ca Cs a e ocus g ocontrolled DAR ADCs
3
ADC as Cancer Therapeutics
Proteolysis in lysosome MMAE(active cell metabolite)
SGN-35 (AdcetrisTM)Cleavable Linkers
Cleavable linkers are degraded in lysosomes to generate free payload which is the active species
( )
• Pros:
– Rapid and complete release of parent LMW payload as active species
Direct correlation of payload properties to ADC properties (potency permeability hydrophobicity etc)
Spontaneous 1,6 elimination
– Direct correlation of payload properties to ADC properties (potency, permeability, hydrophobicity, etc)
• Cons:
– Potential instability of linker outside tumor cell (i.e. due to extracellular protease activity) leading to unselective delivery of payload and toxicityp y y
Lysosomal enzymes
Proteases(Cathepsins)
-Glucuronidase Thiol redox system
Environmental difference
Clea able linkers can lead to species that ma • Val-Cit• Phe-Lys• Val-Lys• Val-Ala• Gly-Gly-Phe-Gly• Gly-Gly-Gly
Phosphodiesterases pH sensitive
Cleavable linkers can lead to species that may permeate and kill adjacent non-antigen presenting cells.
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Gly-Gly-Gly
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ADC as Cancer Therapeutics
T SMCC DM1 (K d l TM)
Non-cleavable Linkers
LysosomalProcessing
T-SMCC-DM1 (Kadcyla ):
• Pros:
– (Ideally) Lack of chemical or enzymatic extracellular degradation to prevent release of toxic metabolites
Active Cell Metabolite
– Charged active cell metabolite (aa-linker-payload) possesses intrinsic low permeability with lower potential for off-targeteffects
• Cons:
Properties of charged active metabolite (aa linker payload) which allow to cross the lysosomal membrane and reach– Properties of charged active metabolite (aa-linker-payload) which allow to cross the lysosomal membrane and reachcellular target are unknown
– Cell activity and enzymatic potency of cell metabolite are not predictive of ADC activity
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ADC as Cancer TherapeuticsPayload Selection: Why is Eg5 an Attractive Target
• Eg5 is a motor protein required for centrosome separation
• Inhibition of Eg5 causes monopolar spindle formation, leading tomitotic arrest triggering apoptotic cell death
• Unlike other anti-mitotics (taxanes, epothilones & Vinca alkaloids),inhibition of Eg5 does not affect microtubule stability
Normal Mitosis Cdc2/cyclinB(ATP)
g y
• Evidence that Eg5 inhibition only targets dividing cells & thusshould not cause neurotoxicities, unlike microtubule disruptors
• Non ATP competitive allosteric inhibitor
Eg5- P Eg5G2/M
• Non-ATP competitive allosteric inhibitor
10 nMEg5 Inhibitors IC50 vs cell panel
Eg5 Inhibition
-tubulin (green)Chromatin (blue)
Adapted from Mayer et al; Science 1999 286 971-974
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Adapted from Mayer et al; Science, 1999, 286, 971-974
ADC Optimization: Cleavable LinkerIn Vitro Profile
> 50 E 5 l d t t d
Payload 1Eg5 IC50: <0.5 nMKB3.1 GI50: 0.3 nMKB8 5 GI : 0 4 nM
> 50 Eg5 payloads testedwith same linker
Payload 2Eg5 IC50: <0.5 nMKB3.1 GI50: 0.1 nMKB8.5 GI50: 1.2 nM
ADC-1• high oligomerization (> 60%)
ifi ll bi di
KB8.5 GI50: 0.4 nM
ADC-2 • low oligomerization (~ 10%)• specific cell binding and activity
Payload SAR for ADCpotency and aggregationestablished
KB8.5 GI50: 1.2 nM
L1: MC-ValCit-PABC
• unspecific cell binding • specific cell binding and activity• most potent ADC on several cell lines
TBS-ADC-1 MDA-MB-231 DAR: 2.8TBS-ADC-1 MDA-MB-231 Clone 16 DAR: 2.8TBS-ADC-2 MDA-MB-231 Clone 16 DAR: 2.8TBS-ADC-2 MDA-MB-231 DAR: 2.8
bitio
n
• Her2-dependent activity of ADCsinhi
b
MDA-MB-231: Low HER-2 ExpressionMDA-MB-231 Clone 16: High HER-2 Expression
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7
g p
ADC Optimization: Cleavable LinkerIn Vivo Efficacy: Antigen Independent Activity
n = 9/groupNo significant body weight loss in any group1500
SK-OV-3ip)
Payload 2Eg5 IC50: <0.5 nMKB3.1 GI50: 0.1 nMKB8.5 GI50: 1.2 nM
1000
IV Doseolum
e (m
m3
n ±
SEM
ADC-2 • low oligomerization (~ 10%)• specific cell binding and activity
KB8.5 GI50: 1.2 nM
Vehicle0
500IV Dose
Tum
or V
om
ean • specific cell binding and activity
• most potent ADC on several cell lines
1 mg/kg TBS-ADC-2
3 mg/kg TBS-ADC-2
1 mg/kg gH-ADC-2 (isotype)
3 mg/kg gH-ADC-2 (isotype)
Time Post-Implant (Days)
10 20 30 40
3 mg/kg gH ADC 2 (isotype)
Conclusion: The minimal efficacious dose for TBS-ADC-2 is 3 mg/kg; however, we observe significant
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gH-ADC-2 Her2-independent activity in this model.
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MedChem Strategy for Improving ADCs
• 3 distinct linker attachment vectors oriented towards the solvent were identified
Structure Based Design
Stage 1: payload morphing on each region separately using focused set of common linkers
Payload 2 Stage 2: combine positive SAR with best linker and payload options to maximize ADC potency
Key selection criteria for new payload-linker combinations:
• metabolite with strong target inhibition (LOQ ~ 0.5 nM)
• ADC with acceptable level of aggregation (<10%)
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• stable in rodent serum and in lysosome extracts
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MedChem Strategy for Improving ADCs
Scaffold 1 Scaffold 3
Exit Vector Identification
Scaffold 1
Scaffold 3Scaffold 2
Scaffold 2
Payload-2 @ Eg5 site
Linker Toolbox
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ADC Optimization: Non-Cleavable Linker
ADC TBS TBS SK-OV-3ip Anti-c-Kit Anti-c-Kit NCI-H526
A (%) DAR AC / L A (%) DAR AC / L
In Vitro Profile: Antigen Depending Activity
Aggreg. (%) DAR AC50 ng/mL Aggreg. (%) DAR AC50 ng/mL
ADC-3 4.3 5.0 9 5.0 4.2 55
ADC-4 2.6 4.4 17 5.0 4.1 13
ADC-5 2.4 4.6 43 5.0 3.7 55
ADC-6 2.2 4.6 16 4.0 3.5 286
ADC-7 2.5 4.7 12 5.0 3.6 38
TBS-ADC-4 SK-OV-3 DAR: 4.4TBS-ADC-4 MDA-MB-468 DAR: 4.4TBS-ADC-6 SK-OV-3 DAR: 4.6TBS-ADC-6 MDA-MB-468 DAR: 4.6TBS ADC 7 SK OV 3 DAR 4 7
Anti-c-Kit-ADC-7 NCI-H526 DAR: 3.6Anti-c-Kit-ADC-5 NCI-H526 DAR: 3.7Anti-c-Kit-ADC-4 NCI-H526 DAR: 4.1Anti-c-Kit-ADC-3 NCI-H526 DAR: 4.2A ti Kit ADC 6 NCI H526 DAR 3 5
ibiti
on
TBS-ADC-7 SK-OV-3 DAR: 4.7
ibiti
on
Anti-c-Kit-ADC-6 NCI-H526 DAR: 3.5
inh
inhi
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11
SK-OV-3ip: High HER-2 ExpressionMDA-MB-468: Low HER-2 Expression
ADC Optimization: Non-Cleavable Linker
n = 9/groupNo significant body weight loss in any group 1500
n = 5/groupNo significant body weight loss in any group
In Vivo Efficacy: Dose Dependency
1000
1500
olum
e (m
m3 )
±SE
M
NCI-H526
750
1000
me
(mm
3 )SE
M
SK-OV-3ip
IV Dose
500
Tum
or V
om
ean
±
IV Dose
250
500
Tum
or V
olum
mea
n ±
S IV Dose
10 20 300
Time Post-Implant (Days)
5 10 15 20 25 300
Time Post-Implant (Days)
Vehicle
gH-ADC-6 - 9 mg/kg
TBS-ADC-6 - 5 mg/kg
S C /
Vehicle
gH-ADC-6 - 10 mg/kg
Anti-c-Kit-ADC-6 - 5 mg/kg
Anti-c-Kit-ADC-6 - 10 mg/kgTBS-ADC-6 - 10 mg/kg
TBS - 10 mg/kg
Anti-c-Kit-ADC-6 - 10 mg/kg
• TBS-ADC-6 shows improved efficacy compared with antibody alone• No antigen independent activity was observed for ADC using non-cleavable linkers
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No antigen independent activity was observed for ADC using non cleavable linkers• Dose dependent tumor growth inhibition was observed in both models
ADC Optimization: Non-Cleavable LinkerIn Vivo Efficacy Across different ADCs
n= 8/groupNo significant body weight loss in any group
n = 5/groupNo significant body weight loss in any group
SK-OV-3ip
1200
1600
me
(mm
3 )SE
M
1000
1500
me
(mm
3 )SE
M
NCI-H526
400
800
Tum
or V
olum
mea
n ±
S
IV Dose500
Tum
or V
olu
mea
n ±
IV Dose
10 20 30 40 500
Time Post-Implant (Days)
T
5 10 15 20 25 300
Time Post-Implant (Days)
VehicleTBS, 10 mg/kgado-trastuzumab emtansine, 5 mg/kgTBS-ADC-3, 5 mg/kg
Vehicle
Anti-c-Kit-ADC-4Anti-c-Kit-ADC-3
Anti-c-Kit-ADC-5
TBS-ADC-6, 5 mg/kgTBS-ADC-4, 5 mg/kg
• Sub efficacious dosing allowed differentiation of the ADC across the 2 types of tumors
Anti-c-Kit-ADC-6
Anti-c-Kit-ADC-7
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• In-vitro superiority does not translate into superior in-vivo efficacy
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ADC Optimization: Non-Cleavable LinkersPK Profile and Stability Assessment
ADC 6 ADC 6 ADC 4 ADC 4Mean ADC and Total Ab Concentrations in Plasma
Compound ADC-6 ADC
ADC-6 Total Ab
ADC-4 ADC
ADC-4 Total Ab
Cmax (µg/mL) 186 174 152 115
AUCINF DN (hr*kg*µg/mL/mg) 2090 3350 1580 2130
TBS-ADC-4, 1 mg/kg (Total Ab)TBS-ADC-4, 1 mg/kg (ADC)
( g µg g)
t1/2 (hr) 130 148 201 199CL (mL/hr/kg) 0.48 0.3 0.631 0.482
Vss (L/kg) 0.0882 0.0766 0.16 0.142
120Relative DAR
(%)
DAR Evolution per ADC
60
80
100• Integrity of ADC species is conserved throughout the
study since no derived species is observed beside the result of the hydrolysis of the maleimide moiety.
0
20
40
0 200 400 600 800Time (Hours)
• The DAR of 2 ADC’s is decreasing over time. At 28 days, the DAR is about 50% from the initial value for TBS-ADC-6 and TBS-ADC-4.
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0 200 400 600 800
Each plot corresponds to an average of the data derived from the 3 rats
ADC Optimization: Non-Cleavable LinkersPK/PD Assessment
Tumor PK
Putative Catabolite
10 mg/kg TBS ADC 6 dose (N 3 per
pHH3 IHC PD
10 mg/kg TBS-ADC-6 dose (N = 3 per group)
Vehicle 6 hr 24 hr 48 hr 72 hr 96 hr 168 hr gH-ADC-6
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Anti-HER2-ADC-624 hr
15
ADC Optimization: Non-Cleavable LinkersIn-Vivo Efficacy: Antigen Depend Activity
n= 8/groupNo significant body weight loss in any group
SKOV3ip Xenograft (Her2+ ckit-)600
)
NCI-H526 Xenograft (Her2- cKit+)2500
3 )
g y g y g p
400
olum
e (m
m3 )
n ±
SEM
IV Dose
1000
1500
2000
Volu
me
(mm
3
an ±
SEM
0
200
Tum
or V
om
ean
0
500
1000
Tum
or V
mea IV Dose
Vehicle
gH-ADC-6 - 10 mg/kg
Time Post-Implant (Days)10 11 12 13 14 15 16
0
Time Post-Implant (Days)0 5 10
0
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gH ADC 6 10 mg/kg
Anti-c-Kit-ADC-6 - 6.5 mg/kg
TBS-ADC-6 - 10 mg/kg
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Conclusions
• Identification and validation of a novel MoA (Eg5, motor protein inhibiton) as an ADC ( g p )target
• ADCs with Val-Cit cleavable linker display high aggregation and target-independent activity
• Structure Based Drug Design identified new linker attachment points which retained payload potency and displayed optimized properties
• ADCs optimization was achieved through combined linker-payload (L-P) SAR p g p y ( )
• Several non-cleavable L-P combinations using Eg5 inhibitors which exhibited in-vitroantibody dependent activity were identified
• In vivo efficacy was demonstrated with multiple ADC candidates targeting selectively• In-vivo efficacy was demonstrated with multiple ADC candidates targeting selectively HER-2+ cell lines or c-KIT+ cell lines
• A cross-over efficacy study using L-P ADC-6 conjugated to a HER-2 and a c-Kit antibody supports ADC selectivity by demonstrating antigen dependent tumor regression in micesupports ADC selectivity by demonstrating antigen dependent tumor regression in mice
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Acknowledgement
Grazia Piizzi Alexei Karpov
Mauro ZuriniPiotr Martyniuk
Patrick CheneYannick Mesrouze
Bernhard GeierstangerWeijia Oup
Marc Lafrance Robert GrotzfeldMarion Lacaud-BaumlinLionel DoumampouomStephanie Lagasse
Piotr MartyniukPatrick SchindlerJean-Marc SchlaeppiThierry BessonMichele CoulotEdwige Fongue
Yannick MesrouzeC. Uli BialuchaTinya AbramsUrsula Jeffry Sanela BilicWolfgang Hackl
Weijia OuBill Mallet Kristine VenstromPeiyin WangPayman AmiriMina AikawaStephanie Lagasse
Darryl JonesMelanie VelayEmilie JolyEnrique Blanco
Edwige FongueTorsten KuipeBrendan KerinsMikias WoldegiorgisEric FangMi h l Kiff
Wolfgang Hackl Christie FantonJochen EisfeldPaul Kwon David RewolinskiBjoern Gruenenfelder
Mina AikawaMike DoyleLi ZhangDylan DanielEdward LorenzanaYoko Oei
Nikolaos DrososEtienne RichardFaouria Boinali-DervisagicPavel FedoseevFrancesca Perruccio
Michael KiffeBernard FallerStephan GrueningerBrian GrandaNancy Lewicki
Bjoern GruenenfelderSandy Huynh Bill SellersEmma LeesMike DillonBill Sellers
o o OeSuzy ClarkMark Knapp Robert EllingPatrick RudewiczYing-Bo Chen
Paul BarsantiTetsuo Uno Rainer KneuerAnne BaslerMajid Ghoddusi
Melissa RamonesAmin KamelKaren WangVladimir CapkaDaniel Wall
Bill SellersScott LesleyThomas PietzonkaAndreas MarzinzikCasrten SpankaJudith Abraham
gKeshi WangHarry Sterling Gavin DollingerKathy MillerAlessandro PalumboMajid Ghoddusi
Zhen Wang Kan ZhuJudith AbrahamSteve Bender
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