1For Internal Use Only© 2019
April, 2019
Next Generation Organ-Specific 3D Culture
Technology Enabling Accurate Efficacy Testing
Of Anticancer Agents
2For Internal Use Only© 2019
What makes a successful 
anti-cancer drug?
1
3For Internal Use Only© 2019
KEY CHARACTERISTICS OF "
A SUCCESSFUL ANTI-CANCER DRUG
DRUG
effective
 safe
4For Internal Use Only© 2019
How do we find compounds 
that will be effective in patients?
2
5For Internal Use Only© 2019
Overcomes environment-mediated 
drug resistance driven by:
•  Extracellular matrix (ECM)
•  Tumor-tumor interactions
•  Stromal elements
-  Secreted factors (cytokines, etc.)
-  Tumor-stroma interactions
-  Immune-protection
IDEAL CLINICAL CANDIDATE
6For Internal Use Only© 2019
zPREDICTA performs services for testing of anticancer compounds
WHAT WE DO
Unique advantages of zPREDICTA technology:
•  Long-term culture of primary human tumor cells
•  Organ-specific extracellular matrix
•  Compatible with multiple drug types (small molecules, antibodies, etc.)
•  Compatible with multiple readouts (FACs, imaging, etc.)
* Also available co-culture and cell line models
7For Internal Use Only© 2019
zPREDICTA’S TECHNOLOGY RECAPITULATES "
THE COMPLEXITY OF HUMAN TISSUES
Human 
 Organ-specific
 3D culture system
1-to-1 reconstruction of human tissue
microenvironment
•  Organ-specific ECM
•  Disease-specific medium
supplements
8For Internal Use Only© 2019
EXTRACELLULAR MATRIX ARCHITECTURE OF r-BONE "
IS INDISTINGUISHABLE FROM IN VIVO TISSUE
In vivo bone marrow
r-Bone 
(reconstructed bone marrow)
50μm
50μm
Cell cluster
 Cell cluster
Cryo-electron microscopy (cryo-EM) of bone marrow organ reconstructed in the r-
Bone model compared to in vivo bone marrow.
9For Internal Use Only© 2019
UNIQUE ADVANTAGES OF zPREDICTA TECHNOLOGY
PREDICTIVE: 

prediction of clinical outcomes based on the 1-to-1 reconstruction of
human tissues

ORGAN-SPECIFIC: 
accurate reconstruction of organ-specific environment enabling
evaluation of therapeutic agents under conditions mimicking human
physiology, a capability currently lacking in pharma

VERSATILE: 
high throughput format for large scale drug screening (10,000+
compounds) and high complexity format for lead optimization
single and multi-compartment models compatible with various cell
types from tumor and healthy tissues
(epithelium, stroma, endothelium, immune cells, etc.)
compatible with all drug classes tested
(small molecules, antibodies, antibody-drug conjugates (ADC), biologics,
cellular and immunotherapies, including CAR-T, etc.)
compatible with all standard readout methods
(in situ imaging, immunohistochemistry, flow cytometry, cell-based assays,
genenomics, proteomics, metabolomics, etc.)
10For Internal Use Only© 2019
SIMPLE 4 STEP SET-UP
1. Coat plate w/ ECM 
(bone endosteum/submucosa/
basement membrane)
2. Mix cells w/ organ-
specific ECM-2
3. Add cell/ECM mix to
pre-coated plate &
allow to polymerize
4. Overlay cell/ECM matrix w/
medium supplemented w/
disease-specific factors
bioassays imaging
READOUT
SET-UP
5. Add therapeutic agents
(small molecules, antibodies,
ADCs, biologics, CAR-Ts)
TREATMENT
in vivoFACs -omics
6. Isolate cells from ECM
ISOLATION
11For Internal Use Only© 2019
zPREDICTA MODELS SUPPORT WIDE RANGE OF TISSUES
Model Tissue
 Cell lines
Multi-compartment
co-culture*
Primary 
cells
HTS**
 Custom
r-Brain in progress
Custom models can
be set-up for any
tissue of interest
utilizing the readout of
choice
r-Breast ✔ ✔ in progress
r-Bone (bone marrow) ✔ ✔ ✔#
in progress
r-Colon ✔ ✔
r-Lung ✔ ✔ in progress ✔
r-Ovary ✔ ✔
r-Prostate ✔ ✔
r-Skin ✔ ✔
r-Stomach ✔ ✔
Recommended
readout
CellTiter-Glo, 
ELISA, imaging
FACs, ELISA, 
imaging
FACs, ELISA,
imaging
CellTiter-Glo
*Tumor cell lines co-cultured with primary cancer-associated fibroblasts (CAFs), mesenchymal stem cells (MSCs), or non-malignant
fibroblasts with or without immune components.
**Currently available High Throughput (HTS) platform for evaluation of small molecule efficacy using tumor cell lines
#r-Bone system has been validated for 3D culture of primary cells from multiple myeloma and AML
12For Internal Use Only© 2019
HOW TO WORK WITH US?
1.  Fee-for-service
2.  Integrate zPREDICTA’s technology into your workflow
3.  Custom models/development partnerships
13For Internal Use Only© 2019
SINGLE-COMPARTMENT MODELS:

Reconstructed Bone (r-Bone™)
Multiple myeloma (MM)
Acute myelogenous leukemia (AML)
14For Internal Use Only© 2019
BONE STRUCTURE
15For Internal Use Only© 2019
Matrigel
day 14
Collagen I
day 14
Plastic
day 14
Non-physiological environments: poor survival & lack of proliferation of primary multiple myeloma cells 
NON-PHYSIOLOGICAL ENVIRONMENT DOES NOT SUPPORT "
SURVIVAL OF PRIMARY TISSUE
16For Internal Use Only© 2019
r-BONE SUPPORTS LONG-TERM SURVIVAL OF PRIMARY BONE MARROW FROM
MULTIPLE MYELOMA AND AML PATIENT, AND HEALTHY DONORS
r-BONE: robust long-term survival and proliferation of primary multiple myeloma 
Osteoblasts 
 

Adipocytes	
Osteoclasts
Stromal
compartment
17For Internal Use Only© 2019
r-BONE SUPPORTS PROLIFERATION "
OF PRIMARY BONE MARROW CELLS
Proliferation of primary bone marrow cells from patients with multiple myeloma was measured by flow
cytometry as a function of dilution of CFSE label. B cells exhibited high rates of proliferation while
plasma cells divided slowly, consistent with their proliferation patterns in vivo.
18For Internal Use Only© 2019
COMPOSITION OF THE HEMATOPOIETIC COMPARTMENT"
IS RETAINED IN r-BONE
Blast
1%
PMN
46%
Lymphocyte
20%
Monocyte
4%
Plasma cell
18%
NRC
11%
Blast
1%
PMN
48%
Lymphocyte
20%
Monocyte
2%
Plasma cell
21%
NRC
8%
PMN, polymorphonuclear cells
NRC, nucleated red blood cells
Ex vivo bone marrow
 r-Bone
19For Internal Use Only© 2019
PHYSIOLOGIC ENVIRONMENT IS INDISPENSABLE FOR SURVIVAL "
AND GROWTH OF AML BONE MARROW 
osteoclasts
osteoblasts
stromal
cells Live /Dead
Vehicle control Cytarabine
Live /Dead
Non-physiologic environments: poor survival & lack of proliferation of primary AML cells 
rBONE AML Model: robust long-term survival and proliferation of primary AML cells 
Matrigel
day 14
Collagen I
day 14
Plastic
day 14
r-BONE
day 14
20For Internal Use Only© 2019
r-BONE SUPPORTS LONG-TERM SURVIVAL AND "
PROLIFERATION OF PRIMARY AML
Hematopoietic compartment
r-Bone
Live/Dead
 
 
 day 28
 Live/Dead
 
 
 day 4 
2D (conventional culture) 
2D (conventional culture)
21For Internal Use Only© 2019
SINGLE-COMPARTMENT MODELS:
Reconstructed Lung (r-Lung)
Non-small cell lung cancer (NSCLC)
22For Internal Use Only© 2019
r-LUNG SUPPORTS PROLIFERATION AND LONG TERM SURVIVAL"
OF PRIMARY NSCLC TUMOR EXPLANT TISSUE
7 days
plastic
Live/Dead
r-Lung
27 days
27 days 
stroma
ex vivo
r-Lung
Ki67 staining
Viably cryopreserved primary NSCLC
tumor tissue was diced into small
pieces and cultured in r-Lung or on
the surface of a tissue culture plastic.
Cultures were grown for the indicated
number of days. Cell viability was
assessed using Live (calcein AM)/
Dead (ethidium homodimer staining)
and cell proliferation was assessed
by immunohistochemistry. 7days
23For Internal Use Only© 2019
r-LUNG SUPPORTS LONG TERM SURVIVAL OF PRIMARY NSCLC
DISSOCIATED TUMOR CELLS & INFILTRATING IMMUNE CELLS
Live/Dead 
 
 
 day 28
Live/Dead 
 
 
 day 33
Live/Dead 
 
 
 day 33
Primary NSCLC were dissociated from the
viably cryopreserved tumor tissue and
cultured in r-Lung. Cultures were grown for the
indicated number of days and cell viability was
assessed using Live/Dead staining.
The extent of the immune cell infiltration cells
was measured by flow cytometry.
day 28
T cells (CD3+)
Myeloid cells
(CD33+)
15%
 10%
24For Internal Use Only© 2019
ORGAN-SPECIFIC 3D MODELS FOR DRUG DEVELOPMENT
Evaluation of efficacy and toxicity in a single assay
screening/efficacy testing/
combination treatments
drug-resistance
bystander effect
off-target toxicity
target/biomarker discovery
patient stratification:
responders vs. non-responders
companion diagnostics
immuno-oncology
attrition management/
rescue failed drug candidates
25For Internal Use Only© 2019
zPREDICTA MODELS ARE:
A.  Compatible with any drug class 
•  Small molecules
•  Antibodies
•  Antibody-drug conjugates (ADC)
•  Biologics
•  Immunomodulatory agents
•  CAR-T
B.  Can be utilized to evaluate efficacy and toxicity
in a single assay
26For Internal Use Only© 2019
IDENTIFICATION OF RESPONDERS VS. NON-RESPONDERS
0.01 0.1 1 10
0
25
50
75
100
125
Naive
Refractory
Pomalidomide [µM]
%viability%viabilityCD138+cells
27For Internal Use Only© 2019
PIPELINE PRIORITIZATION
r-Bone mirrors the efficacy
response seen in human trials,
outperforming current methods for
evaluation of clinical response, and
thus, reducing the rates of clinical
failure during drug development
and treatment regimen selection.
HEETpTMIxchel Scientific
conventional, plastic (2-D)
extracellular matrix only (3-D)
r-Bone
conventional (2D)
ECM only
FDA approved Advanced to clinical trials Advanced to in vivo PK/PD studies
AbandonedFailed efficacy (phase II) trial
28For Internal Use Only© 2019
ATTRITION MANAGEMENT & PIPELINE PRIORITIZATION
0.01 0.1 1 10
0
50
100
150 A
B
C
D
E
H
K
G+H
A+H
E+H
Patient I-P
µM
%viabilityCD38+cells
(normalizedtoDMSOcontrol)
Patient A1
2
3
4
5
6
7
8
9
10
%tumorcellviability
individual
compounds
combinations
29For Internal Use Only© 2019
EVALUATION OF COMBINATION TREATMENTS
BI2536/dexamethasone
combination demonstrates efficacy
under the conditions of
environment-mediated drug
resistance of r-Bone™ model.
Cultured under physiological
conditions of r-Bone, BI2536/
bortezomib combination induces
tumor cell growth
BI2526 + Velcade BI2536 + Dex
0
50
100
150
200 2D
r-Bone™
%viability
(normalizedtovehiclecontrol)
BI2536 + Bortezomib
30For Internal Use Only© 2019
EVALUATION OF EFFICACY AND TOXICITY IN A SINGLE ASSAY
A.  Viability of tumor cells was evaluated in
response to bortezomib and INV
(investigational) compound in r-Bone,
revealing a dose and time dependent effect
of treatment.
0
0.01
0.05
0.1
0
0.1
0.5
4
0
0.1
0.5
4
0
50
bortezomib (µM) GENE (µM)
day 7 day 14day 7
%
(normalizedt
0
0.01
0.05
0.1
0
0.1
0.5
4
0
0.1
0.5
4
0
50
100
150
bortezomib (µM) GENE (µM)
day 7 day 14day 7
%CD38+
(normalizedtovehiclecontrol)
Patients 1-3A. Viability of tumor cells
INV
0
0.01
0.05
0.1
0
0.1
0.5
4
0
0.1
0.5
4
0
50
day 7 day 14
bortezomib (µM) GENE (µM)
day 7
%C
(normalizedto
0
0.01
0.05
0.1
0
0.1
0.5
4
0
0.1
0.5
4
0
50
100
150
bortezomib (µM) GENE (µM)
day 7 day 14day 7
%CD38-
(normalizedtovehiclecontrol)
0
0.01
0.05
0.1
0
0.1
0.5
4
0
0.1
0.5
4
0
50
bortezomib (µM) GENE (µM)
day 7 day 14day 7
%C
(normalizedto
0
0.01
0.05
0.1
0
0.1
0.5
4
0
0.1
0.5
4
0
50
100
150
bortezomib (µM) GENE (µM)
day 7 day 14day 7
%CD38-
(normalizedtovehiclecontrol)
Patient 3 Patients 1-3
B. Viability of non-tumor cells 
INV
B.  Viability of non-tumor cells was evaluated in
response to bortezomib and INV
compound in r-Bone, showing that neither
compound is toxic against non-tumor cells.
31For Internal Use Only© 2019
Characteristics
•  80% of CAR-T cells infiltrate r-Bone within 4 days
•  Antigen-specific CAR-T cells activation
•  CAR-T proliferation and activation over a period of
>8 days in culture
•  Suitable for evaluation of CAR-T-mediated tumor
kill and CAR-T cell dynamics
EVALUATION OF IMMUNO-ONCOLOGY COMPOUNDS
Tumor spheroids were established in r-Bone model prior to addition of CAR-T cells. Once added, CAR-T cells were allowed
to infiltrate the r-Bone. CAR-T cell activation and proliferation were measured by flow cytometry and tumor cell kill was
evaluated after Live/Dead staining by microscopy and flow cytometry. Target-specific T cells were activated in the presence
of cancer cells and induced tumor cell death.
Live/Dead
Mock CAR-T
Live/Dead
Target CAR-T
T cell activation
 Tumor cell death
Target CAR-T 17% 73%
Control CAR-T 1% 22%
No CAR-T n/a 15%
r-Bone system incorporates tumor and immune components in a single assay, and
thus, is an ideal platform for evaluation of CAR-T and other immuno-oncology agents.
32For Internal Use Only© 2019
zPREDICTA’S r-BONE SYSTEM DEMOSTRATES HIGH CORRELATION "
WITH CLINICAL RESPONSE: CLINICAL STUDY SET-UP
Cancer
patient
1. Biopsy
 2. Clinical treatment
B. Lab treatment
A.  zPREDICTA system
3. Clinical outcome
response
 resistance
sensitive
 resistant
ESTABLISH CORRELATION
between clinical outcome &
response in r-Bone
A patient’s biopsy is used to determine clinical treatment
and to set-up r-Bone culture. The culture is then treated
the clinical regimen and response to treatment in r-Bone
is compared with the clinical outcome.
33For Internal Use Only© 2019
r-BONE PLATFORM DEMONSTRATES "
HIGH CORRELATION WITH CLINICAL RESPONSE
Using the r-Bone system 19 out of 21 cases* were predicted correctly, in
contrast with current clinical failure rates of 19 out of 20 new drugs.
*This is an open study currently accruing patients
0.001 0.01 0.1 1 10 100
0
50
100
150
VGPR
PD
PR
µM
%viability(CD38+)
progressive disease (PD)
partial remission (PR)
very good partial remission
(VGPR)
%plasmacell
viabilityinr-Bone
Clinical
response
34For Internal Use Only© 2019
r-BONE DEMONSTRATES HIGH CORRELATION "
WITH CLINICAL RESPONSE
r-Bone
11/13
8/8 2/13
Clinical outcome
Using the r-Bone system
19 out of 21 cases* were
predicted correctly,
in contrast with current
clinical failure rates of 19
out of 20 new drugs.
*This is an open study currently
accruing patients
35For Internal Use Only© 2019
MULTI-COMPARTMENT MODELS
Co-culture
epithelial tumor cell line + primary cancer-associated fibroblast (CAFs)
epithelial tumor cell line + primary non-malignant fibroblasts
epithelial tumor cell line + primary mesenchymal stem cells (MSCs)
+/-
primary immune components
(PBMCs, B cells, T cells, macrophages, dendritic cells (DCs), etc.)
36For Internal Use Only© 2019
SIMULTANEOUS TESTING OF THERAPEUTIC AGENTS "
ON TUMOR AND NON-MALIGNANT POPULATIONS
Epithelium in 
organ-specific ECM
Growth
medium
Stromal niche
(1) co-cultures can be set-up with immune cells added to growth medium to mimic their infiltration into the
tissues or (2) added directly to the ECM mimicking resident tissue immune compartment (various
populations can be added, i.e. PBMCs or purified B, T, dendritic (DCs) cells, macrophages, etc.).
(3) co-cultures can be set-up with various stroma elements including cancer-associated fibroblasts
(CAFs), non-malignant primary fibroblasts, mesenchymal stem cells (MSCs), endothelial cells, etc.
Evaluate effects of treatment on
tumor spheroids and/or stroma
Add test agents
37For Internal Use Only© 2019
r-STOMACH MODEL MIMICS "
THE MULTI-LAYER NATURE OF THE TISSUE
epithelium
lamina propria
stroma
DOI: 10.1158/1541-7786.MCR-12-0307
38For Internal Use Only© 2019
zPREDICTA CO-CULTURE MODELS SUPPORT "
EPITHELIAL, STROMAL, AND IMMUNE COMPARTMENTS
Epithelium in 
organ-specific ECM
Growth
medium
CAFs in 
lamina propria ECM
r-Lamina propria
r-Stomach
PBS
Ab-202
(10nM
)
R
Ab-202
(2nM
)
Ab-003
(10nM
)
R
Ab-003
(2nM
)
Ethanol
ribulin
(1.7nM
)
ibulin
(0.34nM
)
ribulin
(0.2nM
)
0.0
0.5
1.0
1.5
2.0
2.5
αSMAintensitypercell
normalizedtountreatedcontrol
PBS-202
(10nM
)b-202
(2nM
)-003
(10nM
)b-003
(2nM
)
Ethanolulin
(1.7nM
)lin
(0.34nM
)ulin
(0.2nM
)
0.0
0.5
1.0
1.5
2.0
2.5
αSMAintensitypercell
normalizedtountreatedcontrol
Vehicle ADC
PBS
Ab-202
(high)R
Ab-202
(low
)Ab-003
(high)R
Ab-003
(low
)
Ethanolribulin
(1.7nM
)ibulin
(0.34nM
)ribulin
(0.2nM
)
0
50
100
150
200
Pericyte panel
%ofvehiclecontrol
Pericytemarkers
(normalizedtovehiclecontrol)
Vehicle ADC
PBSR
Ab-202
(high)R
Ab-202
(low
)R
Ab-003
(high)R
Ab-003
(low
)
Ethanolribulin
(1.7nM
)ibulin
(0.34nM
)ribulin
(0.2nM
)
0
50
100
150
200
250
Adipocyte panel
%ofvehiclecontrol
Adipocytemarkers
(normalizedtovehiclecontrol)
Vehicle ADC
êactivated stroma 
 
 
 é adypocytic phenotype
39For Internal Use Only© 2019
zPREDICTA CO-CULTURE MODELS SUPPORT"
EVALUATION OF STROMAL REMODELING
(0.2nM
)
αSMA (co-culture)
PBS
R
Ab-202
(10nM
)
O
R
Ab-202
(2nM
)
R
Ab-003
(10nM
)
O
R
Ab-003
(2nM
)
Ethanol
Eribulin
(1.7nM
)
Eribulin
(0.2nM
)
0
50
100
150
Intensitynormalizedtocellnumber
(%ofvehiclecontrol)
PBS
M
O
R
Ab-202
(10nM
)
M
O
R
Ab-202
(2nM
)
M
O
R
Ab-003
(10nM
)
M
O
R
Ab-003
(2nM
)
Ethanol
Eribulin
(1.7nM
)
Eribulin
(0.34nM
)
Eribulin
(0.2nM
)
0.0
0.5
1.0
1.5
2.0
2.5
αSMAintensitypercell
normalizedtountreatedcontrol
ol
ribulin
(1.7nM
)
Eribulin
(0.34nM
)
Eribulin
(0.2nM
)
Vehicle ADC
BREAST CO-CULTURE MODEL (r-Breast): êactivated stroma / é endothelial phenotype
PBS
M
O
R
Ab-202
(10nM
)
M
O
R
Ab-202
(2nM
)
M
O
R
Ab-003
(10nM
)
M
O
R
Ab-003
(2nM
)
EthanolEribulin
(1.7nM
)Eribulin
(0.2nM
)
0
100
200
300
400
500
CD31+
(%ofvehiclecontrol)
PBS
M
O
R
Ab-202
(10nM
)
M
O
R
Ab-202
(2nM
)
M
O
R
Ab-003
(10nM
)
M
O
R
Ab-003
(2nM
)
EthanolEribulin
(1.7nM
)Eribulin
(0.2nM
)
0
100
200
300
400
500
CD31+
(%ofvehiclecontrol)
PBS
M
O
R
Ab-202
(10nM
)
M
O
R
Ab-202
(2nM
)
M
O
R
Ab-003
(10
0
100
200
300
400
500
CD105+
(%ofvehiclecontrol)
PBS
M
O
R
Ab-202
(10nM
)
M
O
R
Ab-202
(2nM
)
M
O
R
Ab-003
(10nM
)
M
O
R
Ab-003
(2nM
)
EthanolE
0
100
200
300
400
500
CD31+
(%ofvehiclecontrol)
PBS
M
O
R
Ab-202
(10nM
)
M
O
R
Ab-202
(2nM
)
M
O
R
Ab-003
(10nM
)
M
O
R
Ab-003
(2nM
)
EthanolE
0
50
100
150
200
250
CD13+
(%ofvehiclecontrol)
Endothelialmarkers
(normalizedtovehiclecontrol)
Vehicle ADC Vehicle ADC Vehicle ADC
CD31 CD13 CD105
Epithelium
Growth
medium
CAFs in 
interstitial ECM
40For Internal Use Only© 2019
MULTI-COMPARTMENT MODELS
Reconstructed Metastasis (r-Met)
breastprostate lung
bone lung
colon ovarianmelanoma gastric
Primarytumor
Metastaticsite
41For Internal Use Only© 2019
RECONSTRUCTED METASTASIS (r-MET) PLATFORM"
Modeling Multi-Step Nature of Tumor Progression 
Primary tumor
Invasive
Metastatic
Primary site
microenvironment
Metastatic site
microenvironment
Circulatory “liquid”
environment
•  Simultaneous testing of therapeutics on tumor cell sub-populations
•  Population-specific target discovery
42For Internal Use Only© 2019
primarytumorinvasive
Failure to colonize Failure to colonize Colonization
r-MET MODEL RECAPITULATES TUMORIGENIC CAPACITY "
OF TUMOR CELLS
cell phenotype (input – breast cancer cell lines)
metastatic
cellphenotype(output)
non-malignant malignant metastatic
r-Bone
r-Breast
43For Internal Use Only© 2019
r-MET MODELS ACROSS MULTIPLE TUMOR SITES 
primarytumorinvasivemetastatic
Colonization Colonization Colonization Colonization Colonization
The system was set-up with the environment of the primary tumor in the upper chamber and the r-Bone in
the bottom chamber. The assembled system represents the metastasis from lung, gastric, colon, ovarian,
and prostate cancer cell lines to the bone.
r-Lung r-Stomach r-Colon r-Ovary r-Prostate
Membrane pores
44For Internal Use Only© 2019
HIGH THROUGHPUT MODELS:

Reconstructed Lung (r-Lung™)
NSCLC cell lines
45For Internal Use Only© 2019
HTS WORKFLOW 
Readout:
CellTiter-Glo
Treatment w/ small
molecules
Set-up r-Lung
 Data
0.001 0.01 0.1 1 10 100
0
50
100
150
200
Erlotinib [µM]
Survival(%)
Manual workflow
Automated workflow
Response to treatment
Consistent with published data,
A549 spheroids demonstrate
erlotinib resistance.
Automated
Manual
Cell number plated
Luminescence(RLU)
Dynamic range
r-Lung demonstrates high dynamic
range (20 – 80,000 cells per well)
of CellTiter Glo readout.
Liquid handler
 Liquid handler
Digital drug dispenser
 Plate reader
Automatedset-up
Manualset-up
A549
Spheroid formation
NSCLC cell line, A549,
forms tumor spheroids
in r-Lung.
46For Internal Use Only© 2019
CUSTOM 
MODELS
Blood cancers
Non-small cell lung cancer
Breast cancer
Triple negative breast cancer
Melanoma
Glioblastoma
Lymphoma
Spleen
Bladder
Kidney
Adrenal
Thyroid
Gastric
Colon
Testicular
Ovarian
Endometrial
Cervical
Prostate
Pancreatic
Liver
47For Internal Use Only© 2019
ADVANTAGES:
–  Specific models for the indication of your choosing
–  Development priority
–  Dedicated scientific and development team
–  Licensing/technology access
–  Discounts on future kit orders
CUSTOM MODELS
48For Internal Use Only© 2019
zPREDICTA MODELS SUPPORT WIDE RANGE OF TISSUES
Model Tissue
 Cell lines
Multi-compartment
co-culture*
Primary 
cells
HTS**
 Custom
r-Brain in progress
Custom models can
be set-up for any
tissue of interest
utilizing the readout of
choice
r-Breast ✔ ✔ in progress
r-Bone (bone marrow) ✔ ✔ ✔#
in progress
r-Colon ✔ ✔
r-Lung ✔ ✔ in progress ✔
r-Ovary ✔ ✔
r-Prostate ✔ ✔
r-Skin ✔ ✔
r-Stomach ✔ ✔
Recommended
readout
CellTiter-Glo, 
ELISA, imaging
FACs, ELISA, 
imaging
FACs, ELISA,
imaging
CellTiter-Glo
*Tumor cell lines co-cultured with primary cancer-associated fibroblasts (CAFs), mesenchymal stem cells (MSCs), or non-malignant
fibroblasts with or without immune components.
**High throughput (HTS) platform for evaluation of small molecule efficacy using tumor cell lines
#r-Bone system has been validated for 3D culture of primary cells from multiple myeloma and AML
49For Internal Use Only© 2019
Keith Williamson, MBA
Director of Business Development
keith@zpredicta.com
(408) 647-5523


Julia Kirshner, PhD 
CEO
julia@zpredicta.com
(650) 739-5472
CONTACT
5941 Optical Court San Jose, CA, 95138
www.zpredicta.com

zPREDICTA Disease Models

  • 1.
    1For Internal UseOnly© 2019 April, 2019 Next Generation Organ-Specific 3D Culture Technology Enabling Accurate Efficacy Testing Of Anticancer Agents
  • 2.
    2For Internal UseOnly© 2019 What makes a successful anti-cancer drug? 1
  • 3.
    3For Internal UseOnly© 2019 KEY CHARACTERISTICS OF " A SUCCESSFUL ANTI-CANCER DRUG DRUG effective safe
  • 4.
    4For Internal UseOnly© 2019 How do we find compounds that will be effective in patients? 2
  • 5.
    5For Internal UseOnly© 2019 Overcomes environment-mediated drug resistance driven by: •  Extracellular matrix (ECM) •  Tumor-tumor interactions •  Stromal elements -  Secreted factors (cytokines, etc.) -  Tumor-stroma interactions -  Immune-protection IDEAL CLINICAL CANDIDATE
  • 6.
    6For Internal UseOnly© 2019 zPREDICTA performs services for testing of anticancer compounds WHAT WE DO Unique advantages of zPREDICTA technology: •  Long-term culture of primary human tumor cells •  Organ-specific extracellular matrix •  Compatible with multiple drug types (small molecules, antibodies, etc.) •  Compatible with multiple readouts (FACs, imaging, etc.) * Also available co-culture and cell line models
  • 7.
    7For Internal UseOnly© 2019 zPREDICTA’S TECHNOLOGY RECAPITULATES " THE COMPLEXITY OF HUMAN TISSUES Human Organ-specific 3D culture system 1-to-1 reconstruction of human tissue microenvironment •  Organ-specific ECM •  Disease-specific medium supplements
  • 8.
    8For Internal UseOnly© 2019 EXTRACELLULAR MATRIX ARCHITECTURE OF r-BONE " IS INDISTINGUISHABLE FROM IN VIVO TISSUE In vivo bone marrow r-Bone (reconstructed bone marrow) 50μm 50μm Cell cluster Cell cluster Cryo-electron microscopy (cryo-EM) of bone marrow organ reconstructed in the r- Bone model compared to in vivo bone marrow.
  • 9.
    9For Internal UseOnly© 2019 UNIQUE ADVANTAGES OF zPREDICTA TECHNOLOGY PREDICTIVE: prediction of clinical outcomes based on the 1-to-1 reconstruction of human tissues ORGAN-SPECIFIC: accurate reconstruction of organ-specific environment enabling evaluation of therapeutic agents under conditions mimicking human physiology, a capability currently lacking in pharma VERSATILE: high throughput format for large scale drug screening (10,000+ compounds) and high complexity format for lead optimization single and multi-compartment models compatible with various cell types from tumor and healthy tissues (epithelium, stroma, endothelium, immune cells, etc.) compatible with all drug classes tested (small molecules, antibodies, antibody-drug conjugates (ADC), biologics, cellular and immunotherapies, including CAR-T, etc.) compatible with all standard readout methods (in situ imaging, immunohistochemistry, flow cytometry, cell-based assays, genenomics, proteomics, metabolomics, etc.)
  • 10.
    10For Internal UseOnly© 2019 SIMPLE 4 STEP SET-UP 1. Coat plate w/ ECM (bone endosteum/submucosa/ basement membrane) 2. Mix cells w/ organ- specific ECM-2 3. Add cell/ECM mix to pre-coated plate & allow to polymerize 4. Overlay cell/ECM matrix w/ medium supplemented w/ disease-specific factors bioassays imaging READOUT SET-UP 5. Add therapeutic agents (small molecules, antibodies, ADCs, biologics, CAR-Ts) TREATMENT in vivoFACs -omics 6. Isolate cells from ECM ISOLATION
  • 11.
    11For Internal UseOnly© 2019 zPREDICTA MODELS SUPPORT WIDE RANGE OF TISSUES Model Tissue Cell lines Multi-compartment co-culture* Primary cells HTS** Custom r-Brain in progress Custom models can be set-up for any tissue of interest utilizing the readout of choice r-Breast ✔ ✔ in progress r-Bone (bone marrow) ✔ ✔ ✔# in progress r-Colon ✔ ✔ r-Lung ✔ ✔ in progress ✔ r-Ovary ✔ ✔ r-Prostate ✔ ✔ r-Skin ✔ ✔ r-Stomach ✔ ✔ Recommended readout CellTiter-Glo, ELISA, imaging FACs, ELISA, imaging FACs, ELISA, imaging CellTiter-Glo *Tumor cell lines co-cultured with primary cancer-associated fibroblasts (CAFs), mesenchymal stem cells (MSCs), or non-malignant fibroblasts with or without immune components. **Currently available High Throughput (HTS) platform for evaluation of small molecule efficacy using tumor cell lines #r-Bone system has been validated for 3D culture of primary cells from multiple myeloma and AML
  • 12.
    12For Internal UseOnly© 2019 HOW TO WORK WITH US? 1.  Fee-for-service 2.  Integrate zPREDICTA’s technology into your workflow 3.  Custom models/development partnerships
  • 13.
    13For Internal UseOnly© 2019 SINGLE-COMPARTMENT MODELS: Reconstructed Bone (r-Bone™) Multiple myeloma (MM) Acute myelogenous leukemia (AML)
  • 14.
    14For Internal UseOnly© 2019 BONE STRUCTURE
  • 15.
    15For Internal UseOnly© 2019 Matrigel day 14 Collagen I day 14 Plastic day 14 Non-physiological environments: poor survival & lack of proliferation of primary multiple myeloma cells NON-PHYSIOLOGICAL ENVIRONMENT DOES NOT SUPPORT " SURVIVAL OF PRIMARY TISSUE
  • 16.
    16For Internal UseOnly© 2019 r-BONE SUPPORTS LONG-TERM SURVIVAL OF PRIMARY BONE MARROW FROM MULTIPLE MYELOMA AND AML PATIENT, AND HEALTHY DONORS r-BONE: robust long-term survival and proliferation of primary multiple myeloma Osteoblasts Adipocytes Osteoclasts Stromal compartment
  • 17.
    17For Internal UseOnly© 2019 r-BONE SUPPORTS PROLIFERATION " OF PRIMARY BONE MARROW CELLS Proliferation of primary bone marrow cells from patients with multiple myeloma was measured by flow cytometry as a function of dilution of CFSE label. B cells exhibited high rates of proliferation while plasma cells divided slowly, consistent with their proliferation patterns in vivo.
  • 18.
    18For Internal UseOnly© 2019 COMPOSITION OF THE HEMATOPOIETIC COMPARTMENT" IS RETAINED IN r-BONE Blast 1% PMN 46% Lymphocyte 20% Monocyte 4% Plasma cell 18% NRC 11% Blast 1% PMN 48% Lymphocyte 20% Monocyte 2% Plasma cell 21% NRC 8% PMN, polymorphonuclear cells NRC, nucleated red blood cells Ex vivo bone marrow r-Bone
  • 19.
    19For Internal UseOnly© 2019 PHYSIOLOGIC ENVIRONMENT IS INDISPENSABLE FOR SURVIVAL " AND GROWTH OF AML BONE MARROW osteoclasts osteoblasts stromal cells Live /Dead Vehicle control Cytarabine Live /Dead Non-physiologic environments: poor survival & lack of proliferation of primary AML cells rBONE AML Model: robust long-term survival and proliferation of primary AML cells Matrigel day 14 Collagen I day 14 Plastic day 14 r-BONE day 14
  • 20.
    20For Internal UseOnly© 2019 r-BONE SUPPORTS LONG-TERM SURVIVAL AND " PROLIFERATION OF PRIMARY AML Hematopoietic compartment r-Bone Live/Dead day 28 Live/Dead day 4 2D (conventional culture) 2D (conventional culture)
  • 21.
    21For Internal UseOnly© 2019 SINGLE-COMPARTMENT MODELS: Reconstructed Lung (r-Lung) Non-small cell lung cancer (NSCLC)
  • 22.
    22For Internal UseOnly© 2019 r-LUNG SUPPORTS PROLIFERATION AND LONG TERM SURVIVAL" OF PRIMARY NSCLC TUMOR EXPLANT TISSUE 7 days plastic Live/Dead r-Lung 27 days 27 days stroma ex vivo r-Lung Ki67 staining Viably cryopreserved primary NSCLC tumor tissue was diced into small pieces and cultured in r-Lung or on the surface of a tissue culture plastic. Cultures were grown for the indicated number of days. Cell viability was assessed using Live (calcein AM)/ Dead (ethidium homodimer staining) and cell proliferation was assessed by immunohistochemistry. 7days
  • 23.
    23For Internal UseOnly© 2019 r-LUNG SUPPORTS LONG TERM SURVIVAL OF PRIMARY NSCLC DISSOCIATED TUMOR CELLS & INFILTRATING IMMUNE CELLS Live/Dead day 28 Live/Dead day 33 Live/Dead day 33 Primary NSCLC were dissociated from the viably cryopreserved tumor tissue and cultured in r-Lung. Cultures were grown for the indicated number of days and cell viability was assessed using Live/Dead staining. The extent of the immune cell infiltration cells was measured by flow cytometry. day 28 T cells (CD3+) Myeloid cells (CD33+) 15% 10%
  • 24.
    24For Internal UseOnly© 2019 ORGAN-SPECIFIC 3D MODELS FOR DRUG DEVELOPMENT Evaluation of efficacy and toxicity in a single assay screening/efficacy testing/ combination treatments drug-resistance bystander effect off-target toxicity target/biomarker discovery patient stratification: responders vs. non-responders companion diagnostics immuno-oncology attrition management/ rescue failed drug candidates
  • 25.
    25For Internal UseOnly© 2019 zPREDICTA MODELS ARE: A.  Compatible with any drug class •  Small molecules •  Antibodies •  Antibody-drug conjugates (ADC) •  Biologics •  Immunomodulatory agents •  CAR-T B.  Can be utilized to evaluate efficacy and toxicity in a single assay
  • 26.
    26For Internal UseOnly© 2019 IDENTIFICATION OF RESPONDERS VS. NON-RESPONDERS 0.01 0.1 1 10 0 25 50 75 100 125 Naive Refractory Pomalidomide [µM] %viability%viabilityCD138+cells
  • 27.
    27For Internal UseOnly© 2019 PIPELINE PRIORITIZATION r-Bone mirrors the efficacy response seen in human trials, outperforming current methods for evaluation of clinical response, and thus, reducing the rates of clinical failure during drug development and treatment regimen selection. HEETpTMIxchel Scientific conventional, plastic (2-D) extracellular matrix only (3-D) r-Bone conventional (2D) ECM only FDA approved Advanced to clinical trials Advanced to in vivo PK/PD studies AbandonedFailed efficacy (phase II) trial
  • 28.
    28For Internal UseOnly© 2019 ATTRITION MANAGEMENT & PIPELINE PRIORITIZATION 0.01 0.1 1 10 0 50 100 150 A B C D E H K G+H A+H E+H Patient I-P µM %viabilityCD38+cells (normalizedtoDMSOcontrol) Patient A1 2 3 4 5 6 7 8 9 10 %tumorcellviability individual compounds combinations
  • 29.
    29For Internal UseOnly© 2019 EVALUATION OF COMBINATION TREATMENTS BI2536/dexamethasone combination demonstrates efficacy under the conditions of environment-mediated drug resistance of r-Bone™ model. Cultured under physiological conditions of r-Bone, BI2536/ bortezomib combination induces tumor cell growth BI2526 + Velcade BI2536 + Dex 0 50 100 150 200 2D r-Bone™ %viability (normalizedtovehiclecontrol) BI2536 + Bortezomib
  • 30.
    30For Internal UseOnly© 2019 EVALUATION OF EFFICACY AND TOXICITY IN A SINGLE ASSAY A.  Viability of tumor cells was evaluated in response to bortezomib and INV (investigational) compound in r-Bone, revealing a dose and time dependent effect of treatment. 0 0.01 0.05 0.1 0 0.1 0.5 4 0 0.1 0.5 4 0 50 bortezomib (µM) GENE (µM) day 7 day 14day 7 % (normalizedt 0 0.01 0.05 0.1 0 0.1 0.5 4 0 0.1 0.5 4 0 50 100 150 bortezomib (µM) GENE (µM) day 7 day 14day 7 %CD38+ (normalizedtovehiclecontrol) Patients 1-3A. Viability of tumor cells INV 0 0.01 0.05 0.1 0 0.1 0.5 4 0 0.1 0.5 4 0 50 day 7 day 14 bortezomib (µM) GENE (µM) day 7 %C (normalizedto 0 0.01 0.05 0.1 0 0.1 0.5 4 0 0.1 0.5 4 0 50 100 150 bortezomib (µM) GENE (µM) day 7 day 14day 7 %CD38- (normalizedtovehiclecontrol) 0 0.01 0.05 0.1 0 0.1 0.5 4 0 0.1 0.5 4 0 50 bortezomib (µM) GENE (µM) day 7 day 14day 7 %C (normalizedto 0 0.01 0.05 0.1 0 0.1 0.5 4 0 0.1 0.5 4 0 50 100 150 bortezomib (µM) GENE (µM) day 7 day 14day 7 %CD38- (normalizedtovehiclecontrol) Patient 3 Patients 1-3 B. Viability of non-tumor cells INV B.  Viability of non-tumor cells was evaluated in response to bortezomib and INV compound in r-Bone, showing that neither compound is toxic against non-tumor cells.
  • 31.
    31For Internal UseOnly© 2019 Characteristics •  80% of CAR-T cells infiltrate r-Bone within 4 days •  Antigen-specific CAR-T cells activation •  CAR-T proliferation and activation over a period of >8 days in culture •  Suitable for evaluation of CAR-T-mediated tumor kill and CAR-T cell dynamics EVALUATION OF IMMUNO-ONCOLOGY COMPOUNDS Tumor spheroids were established in r-Bone model prior to addition of CAR-T cells. Once added, CAR-T cells were allowed to infiltrate the r-Bone. CAR-T cell activation and proliferation were measured by flow cytometry and tumor cell kill was evaluated after Live/Dead staining by microscopy and flow cytometry. Target-specific T cells were activated in the presence of cancer cells and induced tumor cell death. Live/Dead Mock CAR-T Live/Dead Target CAR-T T cell activation Tumor cell death Target CAR-T 17% 73% Control CAR-T 1% 22% No CAR-T n/a 15% r-Bone system incorporates tumor and immune components in a single assay, and thus, is an ideal platform for evaluation of CAR-T and other immuno-oncology agents.
  • 32.
    32For Internal UseOnly© 2019 zPREDICTA’S r-BONE SYSTEM DEMOSTRATES HIGH CORRELATION " WITH CLINICAL RESPONSE: CLINICAL STUDY SET-UP Cancer patient 1. Biopsy 2. Clinical treatment B. Lab treatment A.  zPREDICTA system 3. Clinical outcome response resistance sensitive resistant ESTABLISH CORRELATION between clinical outcome & response in r-Bone A patient’s biopsy is used to determine clinical treatment and to set-up r-Bone culture. The culture is then treated the clinical regimen and response to treatment in r-Bone is compared with the clinical outcome.
  • 33.
    33For Internal UseOnly© 2019 r-BONE PLATFORM DEMONSTRATES " HIGH CORRELATION WITH CLINICAL RESPONSE Using the r-Bone system 19 out of 21 cases* were predicted correctly, in contrast with current clinical failure rates of 19 out of 20 new drugs. *This is an open study currently accruing patients 0.001 0.01 0.1 1 10 100 0 50 100 150 VGPR PD PR µM %viability(CD38+) progressive disease (PD) partial remission (PR) very good partial remission (VGPR) %plasmacell viabilityinr-Bone Clinical response
  • 34.
    34For Internal UseOnly© 2019 r-BONE DEMONSTRATES HIGH CORRELATION " WITH CLINICAL RESPONSE r-Bone 11/13 8/8 2/13 Clinical outcome Using the r-Bone system 19 out of 21 cases* were predicted correctly, in contrast with current clinical failure rates of 19 out of 20 new drugs. *This is an open study currently accruing patients
  • 35.
    35For Internal UseOnly© 2019 MULTI-COMPARTMENT MODELS Co-culture epithelial tumor cell line + primary cancer-associated fibroblast (CAFs) epithelial tumor cell line + primary non-malignant fibroblasts epithelial tumor cell line + primary mesenchymal stem cells (MSCs) +/- primary immune components (PBMCs, B cells, T cells, macrophages, dendritic cells (DCs), etc.)
  • 36.
    36For Internal UseOnly© 2019 SIMULTANEOUS TESTING OF THERAPEUTIC AGENTS " ON TUMOR AND NON-MALIGNANT POPULATIONS Epithelium in organ-specific ECM Growth medium Stromal niche (1) co-cultures can be set-up with immune cells added to growth medium to mimic their infiltration into the tissues or (2) added directly to the ECM mimicking resident tissue immune compartment (various populations can be added, i.e. PBMCs or purified B, T, dendritic (DCs) cells, macrophages, etc.). (3) co-cultures can be set-up with various stroma elements including cancer-associated fibroblasts (CAFs), non-malignant primary fibroblasts, mesenchymal stem cells (MSCs), endothelial cells, etc. Evaluate effects of treatment on tumor spheroids and/or stroma Add test agents
  • 37.
    37For Internal UseOnly© 2019 r-STOMACH MODEL MIMICS " THE MULTI-LAYER NATURE OF THE TISSUE epithelium lamina propria stroma DOI: 10.1158/1541-7786.MCR-12-0307
  • 38.
    38For Internal UseOnly© 2019 zPREDICTA CO-CULTURE MODELS SUPPORT " EPITHELIAL, STROMAL, AND IMMUNE COMPARTMENTS Epithelium in organ-specific ECM Growth medium CAFs in lamina propria ECM r-Lamina propria r-Stomach PBS Ab-202 (10nM ) R Ab-202 (2nM ) Ab-003 (10nM ) R Ab-003 (2nM ) Ethanol ribulin (1.7nM ) ibulin (0.34nM ) ribulin (0.2nM ) 0.0 0.5 1.0 1.5 2.0 2.5 αSMAintensitypercell normalizedtountreatedcontrol PBS-202 (10nM )b-202 (2nM )-003 (10nM )b-003 (2nM ) Ethanolulin (1.7nM )lin (0.34nM )ulin (0.2nM ) 0.0 0.5 1.0 1.5 2.0 2.5 αSMAintensitypercell normalizedtountreatedcontrol Vehicle ADC PBS Ab-202 (high)R Ab-202 (low )Ab-003 (high)R Ab-003 (low ) Ethanolribulin (1.7nM )ibulin (0.34nM )ribulin (0.2nM ) 0 50 100 150 200 Pericyte panel %ofvehiclecontrol Pericytemarkers (normalizedtovehiclecontrol) Vehicle ADC PBSR Ab-202 (high)R Ab-202 (low )R Ab-003 (high)R Ab-003 (low ) Ethanolribulin (1.7nM )ibulin (0.34nM )ribulin (0.2nM ) 0 50 100 150 200 250 Adipocyte panel %ofvehiclecontrol Adipocytemarkers (normalizedtovehiclecontrol) Vehicle ADC êactivated stroma é adypocytic phenotype
  • 39.
    39For Internal UseOnly© 2019 zPREDICTA CO-CULTURE MODELS SUPPORT" EVALUATION OF STROMAL REMODELING (0.2nM ) αSMA (co-culture) PBS R Ab-202 (10nM ) O R Ab-202 (2nM ) R Ab-003 (10nM ) O R Ab-003 (2nM ) Ethanol Eribulin (1.7nM ) Eribulin (0.2nM ) 0 50 100 150 Intensitynormalizedtocellnumber (%ofvehiclecontrol) PBS M O R Ab-202 (10nM ) M O R Ab-202 (2nM ) M O R Ab-003 (10nM ) M O R Ab-003 (2nM ) Ethanol Eribulin (1.7nM ) Eribulin (0.34nM ) Eribulin (0.2nM ) 0.0 0.5 1.0 1.5 2.0 2.5 αSMAintensitypercell normalizedtountreatedcontrol ol ribulin (1.7nM ) Eribulin (0.34nM ) Eribulin (0.2nM ) Vehicle ADC BREAST CO-CULTURE MODEL (r-Breast): êactivated stroma / é endothelial phenotype PBS M O R Ab-202 (10nM ) M O R Ab-202 (2nM ) M O R Ab-003 (10nM ) M O R Ab-003 (2nM ) EthanolEribulin (1.7nM )Eribulin (0.2nM ) 0 100 200 300 400 500 CD31+ (%ofvehiclecontrol) PBS M O R Ab-202 (10nM ) M O R Ab-202 (2nM ) M O R Ab-003 (10nM ) M O R Ab-003 (2nM ) EthanolEribulin (1.7nM )Eribulin (0.2nM ) 0 100 200 300 400 500 CD31+ (%ofvehiclecontrol) PBS M O R Ab-202 (10nM ) M O R Ab-202 (2nM ) M O R Ab-003 (10 0 100 200 300 400 500 CD105+ (%ofvehiclecontrol) PBS M O R Ab-202 (10nM ) M O R Ab-202 (2nM ) M O R Ab-003 (10nM ) M O R Ab-003 (2nM ) EthanolE 0 100 200 300 400 500 CD31+ (%ofvehiclecontrol) PBS M O R Ab-202 (10nM ) M O R Ab-202 (2nM ) M O R Ab-003 (10nM ) M O R Ab-003 (2nM ) EthanolE 0 50 100 150 200 250 CD13+ (%ofvehiclecontrol) Endothelialmarkers (normalizedtovehiclecontrol) Vehicle ADC Vehicle ADC Vehicle ADC CD31 CD13 CD105 Epithelium Growth medium CAFs in interstitial ECM
  • 40.
    40For Internal UseOnly© 2019 MULTI-COMPARTMENT MODELS Reconstructed Metastasis (r-Met) breastprostate lung bone lung colon ovarianmelanoma gastric Primarytumor Metastaticsite
  • 41.
    41For Internal UseOnly© 2019 RECONSTRUCTED METASTASIS (r-MET) PLATFORM" Modeling Multi-Step Nature of Tumor Progression Primary tumor Invasive Metastatic Primary site microenvironment Metastatic site microenvironment Circulatory “liquid” environment •  Simultaneous testing of therapeutics on tumor cell sub-populations •  Population-specific target discovery
  • 42.
    42For Internal UseOnly© 2019 primarytumorinvasive Failure to colonize Failure to colonize Colonization r-MET MODEL RECAPITULATES TUMORIGENIC CAPACITY " OF TUMOR CELLS cell phenotype (input – breast cancer cell lines) metastatic cellphenotype(output) non-malignant malignant metastatic r-Bone r-Breast
  • 43.
    43For Internal UseOnly© 2019 r-MET MODELS ACROSS MULTIPLE TUMOR SITES primarytumorinvasivemetastatic Colonization Colonization Colonization Colonization Colonization The system was set-up with the environment of the primary tumor in the upper chamber and the r-Bone in the bottom chamber. The assembled system represents the metastasis from lung, gastric, colon, ovarian, and prostate cancer cell lines to the bone. r-Lung r-Stomach r-Colon r-Ovary r-Prostate Membrane pores
  • 44.
    44For Internal UseOnly© 2019 HIGH THROUGHPUT MODELS: Reconstructed Lung (r-Lung™) NSCLC cell lines
  • 45.
    45For Internal UseOnly© 2019 HTS WORKFLOW Readout: CellTiter-Glo Treatment w/ small molecules Set-up r-Lung Data 0.001 0.01 0.1 1 10 100 0 50 100 150 200 Erlotinib [µM] Survival(%) Manual workflow Automated workflow Response to treatment Consistent with published data, A549 spheroids demonstrate erlotinib resistance. Automated Manual Cell number plated Luminescence(RLU) Dynamic range r-Lung demonstrates high dynamic range (20 – 80,000 cells per well) of CellTiter Glo readout. Liquid handler Liquid handler Digital drug dispenser Plate reader Automatedset-up Manualset-up A549 Spheroid formation NSCLC cell line, A549, forms tumor spheroids in r-Lung.
  • 46.
    46For Internal UseOnly© 2019 CUSTOM MODELS Blood cancers Non-small cell lung cancer Breast cancer Triple negative breast cancer Melanoma Glioblastoma Lymphoma Spleen Bladder Kidney Adrenal Thyroid Gastric Colon Testicular Ovarian Endometrial Cervical Prostate Pancreatic Liver
  • 47.
    47For Internal UseOnly© 2019 ADVANTAGES: –  Specific models for the indication of your choosing –  Development priority –  Dedicated scientific and development team –  Licensing/technology access –  Discounts on future kit orders CUSTOM MODELS
  • 48.
    48For Internal UseOnly© 2019 zPREDICTA MODELS SUPPORT WIDE RANGE OF TISSUES Model Tissue Cell lines Multi-compartment co-culture* Primary cells HTS** Custom r-Brain in progress Custom models can be set-up for any tissue of interest utilizing the readout of choice r-Breast ✔ ✔ in progress r-Bone (bone marrow) ✔ ✔ ✔# in progress r-Colon ✔ ✔ r-Lung ✔ ✔ in progress ✔ r-Ovary ✔ ✔ r-Prostate ✔ ✔ r-Skin ✔ ✔ r-Stomach ✔ ✔ Recommended readout CellTiter-Glo, ELISA, imaging FACs, ELISA, imaging FACs, ELISA, imaging CellTiter-Glo *Tumor cell lines co-cultured with primary cancer-associated fibroblasts (CAFs), mesenchymal stem cells (MSCs), or non-malignant fibroblasts with or without immune components. **High throughput (HTS) platform for evaluation of small molecule efficacy using tumor cell lines #r-Bone system has been validated for 3D culture of primary cells from multiple myeloma and AML
  • 49.
    49For Internal UseOnly© 2019 Keith Williamson, MBA Director of Business Development keith@zpredicta.com (408) 647-5523 Julia Kirshner, PhD CEO julia@zpredicta.com (650) 739-5472 CONTACT 5941 Optical Court San Jose, CA, 95138 www.zpredicta.com