Corporate Overview - Compugen · Corporate Overview ... slogan, logos, service marks, ... D a y s...
Transcript of Corporate Overview - Compugen · Corporate Overview ... slogan, logos, service marks, ... D a y s...
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FROM CODE TO CURE
CorporateOverview
www.cgen.com
January 2018
Anat Cohen-Dayag, PhD
President & CEO
TM
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SAFE HARBOR STATEMENTThis presentation contains “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of
1995. Forward-looking statements can be identified by the use of terminology such as “will,” “may,” “expects,” “anticipates,” “believes,”
“potential,” “plan,” “goal,” “estimate,” “likely,” “should,” and “intends,” and describe opinions about possible future events. These forward-
looking statements involve known and unknown risks and uncertainties that may cause the actual results, performance or achievements of
Compugen to be materially different from any future results, performance or achievements expressed or implied by such forward-looking
statements. Among these risks: Compugen’s business model is substantially dependent on entering into collaboration agreements with third
parties, and Compugen may not be successful in generating adequate revenues, or commercializing aspects of its business model.
Compugen also may not meet expected milestones in its development pipeline. Moreover, the development and commercialization of
therapeutic candidates involve many inherent risks, including failure to progress to clinical trials or, if they progress to or enter clinical trials,
failure to receive regulatory approval. These and other factors, including the ability to finance the Company, are more fully discussed in the
"Risk Factors" section of Compugen’s most recent Annual Report on Form 20-F as filed with the Securities and Exchange Commission (“SEC”)
as well as other documents that may be subsequently filed by Compugen from time to time with the SEC. In addition, any forward-looking
statements represent Compugen’s views only as of the date of this presentation and should not be relied upon as representing its views as
of any subsequent date. Compugen does not assume any obligation to update any forward-looking statements unless required by law.
Certain studies and data presented herein have been conducted for us by other entities as indicated where relevant. All intellectual property,
including trade marks, trade names, slogan, logos, service marks, patents, copyrights or trade secret displayed in this presentation,
including the name Compugen, are registered and unregistered intellectual property rights of Compugen.
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Transforming patient lives by
developing first-in-class therapeutics
based on Compugen’s foundational
predictive target discovery
and functional validation
Our Vision
FROM CODE TO CURE TM
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KEY HIGHLIGHTS
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Diverse therapeutic pipeline based on original targets ▪ Immuno-oncology checkpoint programs: PVRIG, TIGIT, and myeloid candidates▪ Next-generation immune tolerance induction autoimmune program
Becoming a clinical stage company in 2018
▪ IND filing for COM701 (anti-PVRIG mAb) towards the end of Q1▪ Phase 1b study in COM701, monotherapy and combination therapy
Proven target discovery capabilities and mAb development expertise
▪ 4 programs, from computational discovery to preclinical POC▪ Continuously generating original targets for earlier stage pipeline and
collaborations
World-class scientific advisory team and collaboration partners
▪ Immuno-oncology collaboration with Bayer ▪ Multi-year strategic collaborations with Johns Hopkins and Mount Sinai
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Target Discovery &
ValidationPhase I
IMMUNO-ONCOLOGY
COM701 / PVRIG
CGEN-15001T
COM902 / TIGIT
AUTOIMMUNE
CGEN-15001
IMMUNO-ONCOLOGY
EARLY STAGE PIPELINE
CGENXXXX / Myeloid
Other programs
mAb Discovery Preclinical Development
COMPUGEN’S PIPELINEFrom Code to Cure™
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IND in Q1 2018
IND-enabling studies in 2018; IND in 2019
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MARKET OPPORTUNITY: 70-80% OF PATIENTS NON-RESPONSIVE TO APPROVED CANCER IMMUNOTHERAPIES
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TARGETING NEW PATHWAYS MAY ADDRESS NON-RESPONSIVE PATIENT POPULATIONS
0
10
20
30
40
50
60
70
80
90
100
Ove
rall
Res
po
nse
Rat
e %
~20% Average Response Rate
Gap to Bridge
Approved indications
In clinical testing
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ADDING MULTIPLE MECHANISMS TO BROADLY ADDRESS CANCER TREATMENT
+Tumor/ APC
PVRIG
DNAM
TIGIT
PVRL2
PVR
PD-1 PD-L1
T Cell
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ADDRESSING MULTIPLE IMMUNE SUPRESSIVE COMPONENTS IN THE TME
15001T
Tumor/ APC
CGEN-XXXXCOM902
COM701
15001T mAb
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LEADERSHIP TEAM
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BOARD OF DIRECTORSMANAGEMENT TEAM
Paul SekhriChairman of the Board
Anat Cohen-Dayag, PhD President & CEO, Director
Yair Aharonowitz, PhDDirector
Ruth Arnon, PhDDirector
Martin S. GerstelDirector
Arie Ovadia, PhDDirector
Michal Preminger, PhD, MBADirector
Dov HershbergDirector
Anat Cohen-Dayag, PhD President and CEO
Ari KrashinChief Financial & Operating Officer
Kirk ChristoffersenSVP, Corporate & Business Development
Zurit Levine, PhDVP, Research & Discovery
John Hunter, PhDVP, Antibody R&D and Site Head
Compugen USA, Inc.
Yona Geffen, PhDVP, Research & Validation
Tsipi Keren-LehrerVP, Business Development
Dorit AmitayVP, Human Resources
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STRATEGIC ADVISORSSCIENTIFIC ADVISORY BOARD
Elliott Sigal, MD, PhDFormer CSO, EVP and Director
Richard HaiduckFormer CBO and CEO Life science companies
Charles Drake, MD, PhD
Howard Soule, PhD
Iain McInnes, MD, PhD
KEY STRATEGIC ADVISORSIndustry Veterans, Renowned Oncologists and Immunologists
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Miriam Merad, MD, PhD
Multi-year strategic collaboration
Steven HoltzmanPresident and CEO, Decibel TherapeuticsFormer CBO and CEO
Antoni Ribas, MD, PhDDrew Pardoll, MD, PhDChairman of the SAB
Multi-year strategic collaboration
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• COM701 is a high-affinity humanized IgG4 mAb targeting PVRIG─ PVRIG was computationally identified and validated by Compugen as an immune checkpoint
target
─ Shown to play a unique role in a PVRIG/TIGIT axis
• First-in-class opportunities for monotherapy and combination therapy in multiple solid tumor indications
─ Strong clinical rationale for dual and triple combination with TIGIT and PD-1 pathway blockers
• Clinical opportunities in endometrial, ovarian, breast, lung, kidney, colorectal, and head & neck cancers
─ Based on expression of the TIGIT and PVRIG and their ligands
• Shown to be safe at high doses in GLP toxicity study
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COM701: FIRST-IN-CLASS PVRIG CHECKPOINT INHIBITOR
IND FILING EXPECTED TOWARDS THE END OF Q1 2018
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COMPUGEN DISCOVERED AND VALIDATED PVRIG TARGET
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PVRIG BLOCKADE IS DIFFERENT FROM AND
SYNERGISTIC WITH TIGIT BLOCKADE
Martinet & Smyth, 2015 (modified)
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+Tumor/
APC
-
-
PVRIG
DNAM
TIGIT
PVRL2
PVR
-PD-1 PD-L1
Tumor/
APC
T Cell
MOLECULAR INTERATIONS OF PD-1 AND TIGIT/PVRIG PATHWAYS SUPPORT DRUG COMBINATION APPROACH
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BIOLOGIC RATIONALE FOR COM701 CLINICAL COMBINATIONS
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ENHANCED T CELL ACTIVATION BY COM701 ALONE AND IN COMBINATION WITH ANTI-TIGIT +/- ANTI-PD-1
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hIg
G4
CO
M701
TIG
IT
CO
M701 +
TIG
IT
PD
-1
0
1 0 0
2 0 0
3 0 0
4 0 0
T a rg e t C e ll: P a n c .0 5 .0 4 T u m o r c e lls
T c e ll: C M V p p 6 5 s p e c if ic C D 8 T c e lls
IFN
(p
g/m
L)
+ 4 0 %
+ 9 8 %
+ 2 4 5 %
+ 2 9 %
hIg
G4
CO
M701
TIG
IT
CO
M701 +
TIG
IT
PD
-1
0
5 0
1 0 0
1 5 0
T a rg e t c e ll : C o lo 2 0 5 T u m o r c e lls
T c e ll: C M V p p 6 5 s p e c if ic C D 8 T c e lls
IFN
(p
g/m
L)
+ 6 %
+ 4 9 %
+ 7 7 %
+ 8 %
Anti-TIGIT combination Anti-PD-1 combination
hIg
G4
CO
M7
01
+ T
IGIT
CO
M7
01
+P
D-1
TIG
IT +
PD
-1
CO
M7
01
+ T
IGIT
+ P
D-1
0
1 0 0
2 0 0
3 0 0
4 0 0
5 0 0
IFN
(p
g/m
L) + 2 4 5 %
+ 1 0 4 %
+ 2 1 4 %
+ 3 3 5 %
hIg
G4
CO
M7
01
+ T
IGIT
CO
M7
01
+P
D-1
TIG
IT +
PD
-1
CO
M7
01
+ T
IGIT
+ P
D-1
0
5 0
1 0 0
1 5 0
IFN
(p
g/m
L)
+ 7 7 %
+ 2 4 %
+ 6 3 %+ 7 2 %
Triple combination
COM701 IN VITRO EFFECTS MATCH PD-1 INHIBITOR
ASCO, June 2017, Ophir, et al., poster presentation
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TUMOR GROWTH REDUCTION IN PVRIG KNOCKOUT MICEENHANCED IN COMBINATION WITH PD-1 PATHWAY BLOCKERS
Ganguly and Pardoll, Johns Hopkins Univ. MC38 model15
WT PVRIG KO
PVRIG KO + anti-PD-L1WT + anti-PD-L1
7 1 0 1 3 1 6 2 0 2 3 2 70
1 0 0 0
2 0 0 0
3 0 0 0
4 0 0 0
5 0 0 0
M C 3 8
W ild - ty p e r Ig G 2 b
D a y s p o s t- tu m o r im p la n ta t io n
Tu
mo
r v
olu
me
(m
m3)
D e a d
D e a d
7 1 0 1 3 1 6 2 0 2 3 2 70
1 0 0 0
2 0 0 0
3 0 0 0
4 0 0 0
5 0 0 0
M C 3 8
0 2 9 K O r Ig G 2 b
D a y s p o s t- tu m o r im p la n ta t io n
Tu
mo
r v
olu
me
(m
m3)
D e a d
7 1 0 1 3 1 6 2 0 2 3 2 70
1 0 0 0
2 0 0 0
3 0 0 0
4 0 0 0
5 0 0 0
M C 3 8
W ild - ty p e a n t i-P D L 1
D a y s p o s t- tu m o r im p la n ta t io n
Tu
mo
r v
olu
me
(m
m3)
7 1 0 1 3 1 6 2 0 2 3 2 70
1 0 0 0
2 0 0 0
3 0 0 0
4 0 0 0
5 0 0 0
M C 3 8
0 2 9 K O a n t i-P D L 1
D a y s p o s t- tu m o r im p la n ta t io n
Tu
mo
r v
olu
me
(m
m3)
D e a d
7 1 0 1 3 1 6 2 0 2 3 2 7
0
1 5 0 0
3 0 0 0
4 5 0 0
M C 3 8
W ild -ty p e v s 0 2 9 K O
D a y s p o s t - tu m o r im p la n ta t io n
Tu
mo
r v
olu
me
(m
m3
)
W ild - ty p e r Ig G 2 b
W ild - ty p e a n t i-P D L 1
0 2 9 K O r Ig G 2 b
0 2 9 K O a n t i-P D L 1
WT = wild typeKO = knockout
WT
WT + anti-PD-L1
PVRIG KO
PVRIG KO
+ anti-PD-L1
STIC, November 2016, Hunter, et al., oral presentation
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0 5 1 0 1 5 2 0 2 5
0
2 5 0
5 0 0
7 5 0
1 0 0 0
1 2 5 0
1 5 0 0
1 7 5 0
D a y s
Vo
lum
e m
m3
* * *
* * *p = 0 .0 0 0 5 ; T G I= 5 6 %
TUMOR GROWTH REDUCTION AND INCREASED SURVIVAL WITH PVRIG AND PD-1 PATHWAY BLOCKADE
Tumor growth Survival
0 2 0 4 0 6 0 8 0 1 0 0
0
5 0
1 0 0
T im e
Pe
rc
en
t s
urv
iva
l
*
*p = 0 .0 4 4 ; T F = 4 /1 0
0 5 1 0 1 5 2 0 2 5
0
2 5 0
5 0 0
7 5 0
1 0 0 0
1 2 5 0
1 5 0 0
1 7 5 0
D a y s
Vo
lum
e m
m3
* * *
* * *p = 0 .0 0 0 5 ; T G I= 5 6 %
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16
αPDL-1+rlgG2b αPDL-1+α-mPVRIG
0 2 0 4 0 6 0 8 0 1 0 0
0
5 0
1 0 0
T im e
Pe
rc
en
t s
urv
iva
l
*m Ig G 1 + rIg G 2 b
P D L -1 + rIg G 2 b
P D L -1 + -m P V R IG
1 0 1 5 2 0 2 5
0
2 5 0
5 0 0
7 5 0
1 0 0 0
1 2 5 0
1 5 0 0
1 7 5 0
2 0 0 0
2 2 5 0
D a y s
mm
3
1 0 1 5 2 0 2 5
0
2 5 0
5 0 0
7 5 0
1 0 0 0
1 2 5 0
1 5 0 0
1 7 5 0
2 0 0 0
2 2 5 0
D a y s
mm
3
CT26 syngeneic model
STIC, November 2016, Hunter, et al., oral presentation
PVRIG/PVRL2 PATHWAY BIOLOGY IN MICE UNDERESTIMATED COMPARED TOHUMANS, ANTICIPATING GREATER THERAPEUTIC EFFECT IN HUMANS
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SYNERGISTIC REDUCTION IN TUMOR GROWTH FROM TIGIT KNOCKOUT PLUS PVRIG BLOCKADE
Tumor growth; B16 model
B16-Db-
gp100
model
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TGI compared to WT + mIgG1 Day 11 Day 14 Day 18
WT+ α-mPVRIG 17% 13% 8%
TIGIT-KO + mIgG1 17% 17% 13%
TIGIT-KO + α-mPVRIG 63% 53% 49%
* p < 0.05 ANOVA
0 5 1 0 1 5 2 0
0
5 0 0
1 0 0 0
1 5 0 0
2 0 0 0
2 5 0 0
D a y s
mm
3
W T + -m P V R IG
T IG IT K O + m Ig G 1 T IG IT K O + -m P V R IG
W T + m Ig G 1
*
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WT + mIgG1
TIGIT KO + mIgG1 TIGIT KO + α-mPVRIG
WT + α-mPVRIG
0 3 6 9 1 2 1 5 1 8
0
1 0 0 0
2 0 0 0
3 0 0 0
D a y s
mm
3
0 3 6 9 1 2 1 5 1 8
0
1 0 0 0
2 0 0 0
3 0 0 0
D a y s
mm
3
0 3 6 9 1 2 1 5 1 8
0
1 0 0 0
2 0 0 0
3 0 0 0
D a y s
mm
3
0 3 6 9 1 2 1 5 1 8
0
1 0 0 0
2 0 0 0
3 0 0 0
D a y s
mm
3
ASCO, June 2017, Ophir, et al., poster presentation
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BIOLOGIC RATIONALE DRIVES COM701 CLINICAL DEVELOPMENT STRATEGY
+Tumor/
APC
-
-
PVRIG
DNAM
TIGIT
PVRL2
PVR
-PD-1 PD-L1
Tumor/
APC
T Cell
RECEPTOR/LIGAND EXPRESSION IN THE TME INFORMING PATIENT SELECTION BIOMARKER STRATEGY
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COM701: BIOMARKER STRATEGY AND INITIAL DATA
• Goal is to select for patients most likely to respond to COM701, either
alone or in combination
─ Select patients with tumors in which PVRIG pathway may be dominant based on expression patterns
• Expression profiles of various axis components provide indication for a
dominant role of the PVRIG/TIGIT axis multiple cancers
─ PVRL2 is commonly upregulated in multiple tumor types─ Frequently expressed in PD-L1 negative tumors
─ Expressed in PVR negative tumor and immune cell subpopulations in the TME
─ PVRIG expressed on TILs and NK cells in the TME of multiple tumor types─ Majority of exhausted TILs in the tumor are PD-1, TIGIT and PVRIG positive
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RELATIVE EXPRESSION OF PVRL2 VS PVR VARIES BY TUMOR TYPE
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TCGA RNA Analysis
Higher PVRL2Higher PVR
HIGH PVRL2 EXPRESSION SUGGESTS PVRIG DOMINANCE; TUMOR CELLS FROM BREAST, OVARIAN, AND ENDOMETRIAL TUMORS ARE FREQUENTLY PDL1NEG
20Keystone, January 2018, Ofir, et al., poster presentation
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PVRL2 IS INDUCED IN THE TME AND EXPRESSED IN PD-L1NEG
TUMORS
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PVRL2 expression in PD-L1- tumors
Lung
Adenocarcinoma
Endometrioid
Cancer
SITC, November 2017, Whelan, et al., poster presentation
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COM701 CLINICAL DEVELOPMENT STRATEGY
• Goal is to target PD-1 pathway inhibitor refractory and relapsing patient populations
• Biomarker strategy to allow selection of tumors based on expression of pathway components
• Data support potential to treat multiple patient populations as monotherapy or
combination therapy
• Opportunities in lung, ovary, breast, endometrial, kidney, and head & neck cancers
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Refractory & Relapsing Patients
Anti-PD1 failures in approved indications
(e.g. NSCLC, RCC)
(COM701 + PD-1) ± COM902
Naïve & Refractory & Relapsing Patients
PD1 refractory indications(e.g. Ovarian, TNBC, MSS CRC)
(COM701) ± COM902
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STA
GE
1A
COM701 PHASE 1B CLINICAL STUDY – TO BE INITIATED IN 2018
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• Single agent, Simon 3x3 dose escalation• Safety, tolerability, PK/PD, clinical activity• All-comers trial; no pre-selection• Progressed on SOC• Maximum Tolerated Dose (MTD)
STA
GE
1B
STA
GE
1C
• COM701 in combination with anti-PD-1• Safety, tolerability, PK/PD, clinical activity• Rolling delayed start, 1 level highest safe
1A dose • Combined w/ fixed dose of anti-PD-1• Current PK data suggest every 3 week dosing
• Select expansion cohorts in specific indications• 20-30 patients per cohort• COM701 in combination with anti-PD-1• Monotherapy indications (pending 1a response)• Safety, tolerability, PK/PD, clinical activity
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IND-ENABLING ACTIVITIES IN 2018; IND EXPECTED IN 2019
COM902 – ANTI-TIGIT MONOCLONAL ANTIBODY
• COM902 is a high-affinity (femtomolar) mAb targeting TIGIT─ TIGIT identified as a putative immune checkpoint by Compugen’s predictive
target discovery platform in 2009 (N. Stanietsky et al PNAS 2009)
─ Potential Best-in-Class ─ In vitro activity comparable to or better than the top clinical TIGIT antibodies
• In vitro effects of TIGIT/PVRIG blockade equal or exceed those seen with PD-1 combinations
• Combination of COM701 and COM902 provides potential unique clinical differentiation
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COM701 + COM902 POTENTLY ENHANCES TIL ACTIVATION
Kidney CD3 TIL+ Endometrium CD3 TIL+ Ovarian CD3 TIL+
T c
el l
s a
l on
e
hI g
G4
CO
M
70
1
CO
M
90
2
Pe
m
bro
l iz
um
ab
CO
M
70
1 +
CO
M
90
2
0
5 0 0
1 0 0 0
1 5 0 0
L u n g C D 3+
T I L
IF
N
(
pg
/m
L)
1 4 % 1 2 %2 1 %
4 3 %
T c
el l
s a
l on
e
hI g
G4
CO
M
70
1
CO
M
90
2
Pe
m
bro
l iz
um
ab
CO
M
70
1+
CO
M
90
2
0
5 0 0
1 0 0 0
1 5 0 0
2 0 0 0
2 5 0 0
K i d n e y C D 3+
T I L
IF
N
(
pg
/m
L)
4 3 %
6 8 %5 0 %
8 3 %
T c
el l
s a
l on
e
hI g
G4
CO
M
70
1
CO
M
90
2
Pe
m
bro
l iz
um
ab
CO
M
70
1 +
CO
M
90
2 H
4
0
4 0
8 0
1 2 0
E n d o m e t r i u m C D 3+
T I L
IF
N
(
pg
/m
L)
2 1 % 8 %
2 3 %
1 0 8 %
T c
el l
s a
l on
e
hI g
G4
CO
M7
01
CO
M9
02
Pe
mb
r ol i
zu
ma
b
CO
M7
01
+ C
OM
90
2
0
4 0
8 0
1 2 0
E n d o m e t r i u m C D 3+
T I L
IFN
(
pg
/mL
)
2 1 % 8 %
2 3 %
1 0 8 %
T c
ells a
lon
e
Iso
typ
e C
on
tro
l
CO
M701
CO
M902
Pem
bro
lizu
mab
CO
M701 +
CO
M902
0
5 0
1 0 0
1 5 0
O v a r ia n C D 3+ T IL
IFN
(p
g/m
L)
+ 2 7 %
+ 7 4 %
+ 3 6 %
+ 3 4 1 %
SITC November 2017, Whelan, et al., poster presentation; andKeystone, January 2017, Ofir, et al., poster presentation
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MYELOID TARGETS: MULTIPLE MOAs FOR EFFICACY AND ANTI-TUMOR IMMUNE RESPONSE
Antibody MoA –
Cell Depletion
NK
Myeloid
• Myeloid biology blockade offers potential for efficacy in
• Patients with strong immuno-suppressive tumor micro-environment, or cold tumors
• Patients refractory to available checkpoint inhibitors
• Programs in development by various industry players
• CD47, SIRPα, CD40, CSF1R
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MYELOID TARGET EXAMPLE #1: CGEN-15032 KNOCKOUT REDUCES TUMOR GROWTH INDICATING ROLE IN TUMOR GROWTH REGULATION
Ganguly and Pardoll, Johns Hopkins Univ. MC38 model CRI, September 2017, Levy, et al., poster presentation
7 1 0 1 4 1 7 2 0 2 3 2 70
1 0 0 0
2 0 0 0
3 0 0 0
4 0 0 0
W ild - ty p e
D a y s p o s t- tu m o r im p la n ta t io n
Tu
mo
r v
olu
me
(m
m3)
7 1 0 1 4 1 7 2 0 2 3 2 70
1 0 0 0
2 0 0 0
3 0 0 0
4 0 0 0
C G E N - 1 5 0 3 2 K O
D a y s p o s t - tu m o r im p la n ta t io n
Tu
mo
r v
olu
me
(m
m3)
46% TGI (p<0.01)
43% TGI (p<0.01)
MC38 Wild-Type vs CGEN-15032 KOCGEN-15032 KO
CGEN-15032 KO
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MYELOID TARGET EXAMPLE #2: INHIBITS T CELL ACTIVATION SIMILAR TO PD-L1
Similar data obtained by measuring T cell proliferation inhibition
Do
no
r 1
Do
no
r 2
aCD3 (OKT3)
Target #2
T cells
Counterpart
+
-
TCRCHO-S
n=8 donors; p<0.05 for IFN, TNFa
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CANCER IMMUNOTHERAPY COLLABORATION WITH BAYERCollaboration and License Agreement, signed August 2013
31
CGEN-15001T – NOVEL IMMUNE CHECKPOINT
• Preclinical development on track
• Pivotal (GLP) toxicity studies ongoing
• GMP clinical trial material production ongoing
$10M*upfront payment
$15MPreclinical milestone payments to date
Over $250M in potential milestone payments Royalties on global net sales: mid-to-high single digit
* Received for CGEN15001T and CGEN-15022
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CGEN-15001: FIRST-IN-CLASS THERAPEUTICS INDUCING TOLERANCE IN AUTOIMMUNE DISEASES
IMMUNE TOLERANCE MECHANISM REPRESENTS NEXT GENERATION TREATMENT FOR AUTOIMMUNE DISEASES
Fc fusion
CTLA4-lg(Orencia®)
Fc fusionCGEN-15001
CGEN-15001T mAb
Compugen retained all rights to develop Fc fusions for autoimmune indications
counterpart
32
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CGEN-15001 DIFFERENTIATION AND VALUE PROPOSITION
INTENTION TO PARTNER CGEN-15001, TO FOCUS RESOURCES ON DEVELOPING IMMUNO-ONCOLOGY PRODUCTS
Addressing widely anticipated ‘next step’ therapeutic revolution in autoimmunity
▪ Tolerance induction and restoration of immunologic homeostasis
First-in-class therapeutic agent of a novel inhibitory checkpoint pathway
▪ Robust efficacy in multiple animal models, presenting clinical and commercial opportunities in multiple autoimmune diseases
▪ Short term treatment leads to durable effect
Paradigm shift from standard of care
▪ Tolerance induction offers safety advantages vs. immune-suppression
▪ Potentially efficacious in patients with inadequate response to standard of care
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APPLYING OUR PREDICTIVE APPROACH TO TARGET DISCOVERY AND FUNCTIONAL VALIDATION
36
A DISCOVERY ENGINE TO REPLENISH PIPELINE WITH NEW DRUG PROGRAMS
Therapeutic Development
Computational Discovery
Research reagents preparation
Functional in vitro analysis
Expression profiles
Functional in vivo analysis(KO/surrogate mAb)
Target Validation
Genome & ProteomeAnalysis
Biological knowledge
Experimental & Disease Data
ModelTest
Refine
37
FINANCIAL POSITION
37
Gross Cash Expenditures*
Market Capitalization
$38.5 million
(September 30, 2017)
No Debt
~$150 million (January 2018)
NASDAQ (CGEN)
TASE (CGEN.TA)
SME-150, TA-Biomed, TA Global
BlueTech, TA Tech-Elite* Does not include cash receipts from any source.
Cash Balance
~$8.5 million/quarter 2017 quarterly forecast
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Becoming a clinical stage company in 2018
• COM701 (anti-PVRIG mAb) - IND filing anticipated towards the end of Q1 2018
• Phase 1b study – monotherapy and combination with PD-1 pathway blockade
• CGEN-15001T mAb (Bayer) - currently in IND-enabling studies
CURRENT AND UPCOMING ANTICIPATED MILESTONES
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Advancing preclinical pipeline
• COM902 (anti-TIGIT mAb) - IND-enabling studies in 2018; IND expected in 2019
• Various myeloid programs progressing towards preclinical development
• Multiple programs progressing through validation