jefferies global healthcare conference june 3, 2020€¦ · jefferies global healthcare conference....
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JEFFERIES GLOBAL HEALTHCARE CONFERENCEJUNE 3, 2020
We seek to transform patient outcomes by
targeting TRNs that define the cancer phenotype
Deep Systems Biology Expertise• Ability to identify selective vulnerabilities in oncogenic TRNs
Proprietary Discovery Engine• High-throughput screening for historically undruggable targets
Robust Pipeline• Lead program on path to IND in 2020
Leadership Team With Over 30 NDAs• Track record of innovation and expertise in molecular oncology
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Kronos Bio:Dedicated to drugging Transcriptional Regulatory Networks (TRNs)
• Best-in-class selectivity• Clinical development planned in MYC-
amplified cancers
• Programs focused in key TRNs of interest: Hematological malignancies Small cell / neuroendocrine cancers Prostate cancer MYC-driven cancers
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LEAD PROGRAM: CDK9 INHIBITOR EARLY DISCOVERY
Robust discovery pipeline
TRN Indication Map Screen Hit-to-Lead Optimization IND FilingMYC Solid tumors Q4 2020
MYB AMLARv7 ProstateIRF4 Multiple Myeloma
ASCL1 SCLCUndisclosed Multiple
Selective CDK9 inhibitor
• Our Team• Our Science & Research Focus• Lead Program: CDK9
Kronos leadership track record: 30 approved novel therapies
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Norbert Bischofberger, PhDPresident & CEO• Former CSO and EVP of R&D at Gilead Sciences • During 30-year tenure helped grow Gilead from 50
people to 10,000+ employees and $25B revenue• Oversaw development and NDA approvals of more
than 25 medicines to treat cancer and infectious disease
Arie Belldegrun, MD, FACSCo-founder & Chairman• Chairman, Two River & Co-founder, Vida Ventures• Founder of Kite Pharma (acquired by Gilead), Cougar
Biotechnology (acquired by J&J) and Agensys (acquired by Astellas)
• Professor of Urology, and Director of the UCLA Institute of Urologic Oncology
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Integrated discovery and clinical development organization
GLOBAL HQSan Mateo, CA(8 employees)
Corporate FunctionsClinical Development
RegulatoryProgram Mgmt
DISCOVERY RESEARCHCambridge, MA(32 employees)
Cell BiologyMedicinal Chemistry
PharmacologyBioinformatics
Biochem/Biophysics
CRO RESOURCESIndia & China
(51 FTEs)
Synthetic ChemistryBiochemistry
Angela Koehler, PhD, Scientific FounderChemical biologist and bioengineer developing high-throughput systems to identify small molecule modulators of transcription factors
Charles Lin, PhD, Vice President of BiologyComputational biologist experienced in defining TRNs and identifying selective dependencies in oncology
Jorge DiMartino, MD PhD, Chief Medical OfficerPhysician-scientist and practicing pediatric oncologist experienced in clinical development of epigenetic targeted agents in cancer
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Deep expertise in chemical biology, systems biology and translational science
• Our Team• Our Science & Research Focus• Lead Program: CDK9
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Kronos applies its proprietary platform to systematically target TRNs
Identify TRN targets linked to defined
patient populations
Identify chemical starting points (hits) for small molecule
modulators
Prioritize hits and evolve them to development
candidates
Hypothesis driven clinical trials to deliver Proof of Concept early
in the development process
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TRADITIONAL DEPICTION OF CANCER BIOLOGY THE REALITY OF AN ONCOGENIC TRN
Identify non-obvious target opportunities in TRNs
• Static• Linear• Unidirectional
Signaling proteins
Transcriptionalmachinery
• Dynamic• Interdependent• Bi-directional
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REPRESENTATIVE OPPORTUNITIES CHALLENGES
Transcription factors are validated but challenging targets
MYC: Proto-oncogene transcription factor implicated in many cancers
MYB
IRF4
Heme-lineage defining transcription factors
ASCL1
Small-cell / neuroendocrine cancer defining transcription factors
Context-dependent structure
Context-dependent complexes
Lack of traditionally druggable binding pockets
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Small molecule microarray (SMM) discovery platform
• 240,000 compound library covalently printed on slides
• Allows screening of cell lysates / nuclear extracts Target protein in
native confirmation and context
• Evaluate context-dependent transcriptomic effects on TRN in cancer lines• Identify hits that selectively perturb the oncogenic TRN
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Hit prioritization based on gene expression signature
Map TRNs• Assay development• Engineer cell lines
for screening and validation assays
• Optimize protein purification / lysate conditions
SMM screen• Slide treatment• Image analysis• Algorithmic filters• Hit calling
Hit validation • Cell-based
transcriptional signature
• Counter screens• Med chem
evaluation
Hit-to-Lead • Target engagement• Mechanism
characterization• Cell-based viability
profile
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TRN discovery process
3-4 months 1 month 3-4 months 3-4 months
PROPRIETARY - NOT FOR DISTRIBUTION
• MYB• IRF4
Heme lineage transcription factors
• ASCL1• Novel E3 (over-expressed in SCLC)
Small cell / neuroendocrine
• ARv7• Novel E3 (drives AR/SRC3 over-expression)Prostate cancer
• MYC/MAX• Novel E3 (drives MYC overexpression)MYC-driven cancers
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Research focus
KRAS mutant
β-catenin
p53 deficient tumors
HPV-driven cancers
FOXP3 (I/O, Immunology)
Active discovery campaigns Future opportunities
• Our Team• Our Science & Research Focus• Lead Program: CDK9
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CDK9 is an essential co-factor for the MYC TRN
PROPRIETARY - NOT FOR DISTRIBUTION
0 7 1 4 2 10
3 0 0
6 0 0
9 0 0
1 2 0 0
1 5 0 0
1 8 0 0
2 1 0 0
D a y s a fte r th e s ta r t o f tre a tm e n t
Tu
mo
r vo
lum
e (m
m3 )
V e h ic le , 1 0 µ L /g , p .o ., Q D x 2 1 d a y s , n = 1 0
K B -0 0 1 3 0 7 4 2 , 3 0 m g /k g , p .o ., Q D(3 -d a y o n /4 -d a y o f f ) x 3 w e e k s , n = 1 0
K B -0 0 1 3 0 7 4 2 , 6 0 m g /k g , p .o ., Q D(3 -d a y o n /4 -d a y o f f ) x 3 w e e k s , n = 1 0
K B -0 0 1 3 0 7 4 2 , 2 5 m g /k g , p .o ., Q D x 2 1 d a y s , n = 1 0
K B -0 0 1 3 0 7 4 2 , 1 5 m g /k g , p .o ., Q D(3 -d a y o n /4 -d a y o f f ) x 3 w e e k s , n = 1 0
C y ta ra b in e , 7 5 m g /k g , i .p . , T IW x 3 w e e k s , n = 1 0
Ara-C 75 mg/kg TIW
Vehicle
15 mg/kg 3d on/4d off30 mg/kg 3d on/4d off
60 mg/kg 3d on/4d off25 mg/kg QD
Development Candidate KB-130742Model MV4-11
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IDENTIFIED IN SMM SCREEN FOR ARV7 ACTIVE AGAINST MYC-DRIVEN AML XENOGRAFT
CDK-9 inhibitor for MYC-driven tumors
Original SMM hit is a highly selectiveATP competitive inhibitor of CDK9
Compound KB-130742 AZD4573 Dinaciclib TP-1287 TG-02 CYC-065
Potency (biochemical IC50) CDK9 15 nM 3 nM 4 nM 6 nM 3 nM 26 nM
Fold SelectivityCDK9 vs other
CDK family members
CDK8 >667x 171xCDK7 147x 18x 4x 12xCDK6 >667x 26xCDK5 >667x 4x 1x 18x 1xCDK4 188x 8x 2xCDK3 192x 1x 3xCDK2 447x 1x 1x 2x <1xCDK1 281x 2x 1x 3x
Route of administration Oral IV IV Oral Oral IV
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Selectivity is critical to defining a therapeutic window
Transcriptional CDK
Cell cycle CDK
> 100x > 10x < 10x Not Available
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STAGE 1: DOSE ESCALATION STAGE 2: EXPANSION COHORTS
Phase I/II study design
DL1DL2
DL3a
MTDaNTDa
DLDL3b
MTDbNTDb
DL
PK/PD analysis
MYC-amplified solid tumors
Other transcriptionally addicted tumors
Phase 2/3 design
PROPRIETARY - NOT FOR DISTRIBUTION
• Understand safety and PK/PD relationship• Refine dosing schedule to maximize
therapeutic window
• Confirm safety and PD response in patient populations enriched for MYC amplification
• Inform Phase 2/3 study design
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MYC copy number gain as a genetic marker of addiction
Percentage of tumors in the TCGA dataset with copy number gains of MYC, MYCN or MYCL (Schaub et al, 2018. Cell Systems 6: 282 – 300)
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MYC MYCN MYCL
32.3% 10.8% 8.8%MYC MYCN MYCL
31% 4.1% 6.7%
MYC MYCN MYCL
64.8% 36.4% 23.3%
MYC MYCN MYCL
37.2% 11% 21.2%
MYC MYCN MYCL
45.3% 12.7% 15.3%
MYC MYCN MYCL
33.2% 7.1% 19.6%MYC MYCN MYCL
30.1% 8.4% 7.4%
MYC MYCN MYCL
27.5% 0.7% NA
MYC MYCN MYCL
29.2% 8.2% 7.6%
MYC MYCN MYCL
28% 13.9% 17.7%
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Kronos Bio summary
Experienced Team• Accomplished operational industry leaders• Experience in chemical biology, system biology and translational science
Disruptive Platform Addressing Highly Validated Undruggable Targets• Mapping of oncogenic TRNs• SMM screen with target in native confirmation and context• Clinical candidate CDK9 inhibitor – IND 4Q2020
Strong Financial Position• Series A - $105 M, June 2019
PROPRIETARY - NOT FOR DISTRIBUTION