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Uncovering novel cancer therapeutics using the Exoneural Medicines Platform: The role of innervation in cancer Shan Lou, Alexandria Fink, Jay Wang, Jesse Turner, Garmen Yuen, Monica Thanawala, Alexandra Lantermann, Jenny Shu, Hongyue Dai, Pearl Huang, Jonathan Hurov [email protected] Cygnal Therapeutics 325 Vassar St, Suite 2B, Cambridge, MA 02139 Abstract Peripheral nerves were first described as a component of tumors in the late 19th century. In the mid-20th century early preclinical studies indicated that tumor cells could recruit innervation from spinal cord ganglia and that stress promotes tumorigenesis. Within the last 10 years improvements in technologies allowing neuronal tracking and regulation of neuronal function have uncovered a role for both autonomic and sensory innervation in multiple tumor types. Initial studies have implicated this biology in prostate, pancreatic, gastric and breast cancer, (among others) and point to a role for nerves in initiation, maintenance and metastasis of tumors. The stimulation of tumor cell growth by neural growth factors, the recruitment of neurites by tumor cells, the invasion and migration of tumor cells along nerves (perineural invasion), and the role of innervation in driving tumor angiogenesis are just a few examples of how peripheral nerves interact with the tumor microenvironment. Indeed, an argument could be made that innervation of tumors should be considered a hallmark of cancer. We describe here a biological platform that can define and decode the role of neural signaling in cancer. This platform, which we call Exoneural Medicines Platform ™, has 6 technical components: 1) co-culture models of primary neurons with both tumor and immune cells, 2) advanced imaging modalities to define the neural component of tumors, 3) AAV and transgenic tools that allow regulation of neurons proximal to tumors in vivo and in vitro, 4) neural-focused functional genomics, 5) neural-focused bioinformatics, and 6) a neuropharmacopeia compound library for probing relevant biological pathways and identification of advanced starting points for drug discovery. We show here how the platform is being employed to characterize this exciting new space in cancer biology and identify new drivers of disease. LB-B17 In house Tissue clearing and imaging pipeline Before During Final Neurites Blood Vessels Neurites Blood Vessels Pancreatic PDX model Human patient biopsy Melanoma cell line xenograft Neurites Blood Vessels Tumor samples were sectioned into 2 mm slices, followed by fixation, polymerization, lipid removal and staining to show structures of blood vessels and nerve fibers Blood vessels Neurites Blood vessels Neurites SCLC SCLC + neurons Flow chart of neuron/cancer cell coculture development Real-Time Cancer cell growth detection Lenti-CMV-nGFP Neuron nGFP Tuj1 NeuN Figure showing faster growth of SCLC in coculture of neurons compared with monoculture in otherwise the same growth condition Heat map showing effects of neurons on cancer cell growth nGFP Tuj1 NeuN Pancreatic PDX cell line DRG neuron Coculture of rat cortical neurons with SCLC showed direct contact of neurites with cancer cells Transmission EM showing direct contact between cancer cells and neurons (arrow: protein density at intersection of the 2 cell types) Coculture assay Neurons Cancer cells DAPI GFP Tuj1 NeuN + SCLC + PCa Neurons Alone Compartmentalized chamber Compartmentalized chambers separate neuron soma and cancer cells while allowing neurite growth cone exposure to cancer cell media as well as cancer cell perineural invasion after contact with neurites. Neurite growth into the cancer cell compartment can be quantified. Comparison across several different cancer cell lines indicate different levels of neurite growth effects Nerve labeling Tumor implantation Tissue analysis 10-14 days Non-tumor targeting ganglia Non-tumor targeting ganglia Tumor targeting ganglia AAV intratumoral injection AAV virus Particles Spinal cord DRG/SCG Neuromanipulation We can retrogradely label the tumor-innervating neurons by injecting AAV virus into the tumor. Only the ganglia which extend axons into the tumor are labeled with reporter fluorescence. hSyn-GFP DAPI GFP NeuN Tuj1 hSyn-DTR-GFP Vehicle DTA Multiple AAV tools can be used to manipulate the tumor-innervating neurons by either ablating the neurons or activating them. Graphs showing proof of concept experiments in vitro. Explant culture Dorsal root ganglia (DRG) and Superior cervical ganglia (SCG) are dissected and cultured ex vivo, extending long neurites radially. DAPI GFP Tuj1 NeuN When cocultured the ganglia explants, cancer cells can migrate into the center of the ganglia directionally. Cancer cell motility and frequency inside the ganglia can be used to quantitate migration Focused CRISPR library with sgRNAs targeting neuronal genes, transporters and ion channels: ~11,000 sgRNAs targeting ~1800 genes, 6 sgRNAs per gene Day 1 Plate cells Day 2 Transduce cells with CRISPR library Day 3 Start selection Day 7 Collect transduced cells Baseline In vitro screen In vivo screen Next Generation Sequencing Data analysis Extract genomic DNA B. CRISPR screen identified the autism and schizophrenia-associated CYFIP protein for pancreatic tumor growth A. Schematic of in vitro and in vivo CRISPR screening CRISPR screening using highly innervated models PAXF1997 PAXF1657 0 500 1000 1500 2000 2500 0 1 2 3 4 5 6 7 Norm. read counts 0 500 1000 1500 2000 0 1 2 3 4 5 6 7 Norm. read counts 0 500 1000 1500 2000 Norm. read counts 0 500 1000 1500 2000 Norm. read counts BXPC3 0 500 1000 1500 Norm. read counts 0 1000 2000 3000 4000 Norm. read counts NGS identifies lower read counts for individual sgRNAs targeting CYFIP1 in in vitro and in vivo replicates than in baseline replicates. The autism and schizophrenia-associated CYFIP1 protein is required for pancreatic tumor growth and presents a potential therapeutic target. Poster LB-C05 MAGECK-VISPR algorithm was used to analyze the performance of the sgRNAs targeting each gene in the library. In vitro and in vivo performance plots for each sgRNA targeting CYFIP1 is show for BxPC3, PAXF1997 and PAXF1657 cell line models. Disease-specific survival analysis of TCGA Pancreatic adenocarcinoma (PAAD) patient data with low (red), moderate (green), or high (blue) expression of CYFIP1 Growth kinetics of subcutaneously implanted PAXF1657 cells expressing doxycycline inducible non-targeting control (NTC) or CYFIP1 sgRNAs. Tumor innervation revealed by CLARITY

Uncovering novel cancer therapeutics using the Exoneural ...€¦ · Heat map showing effects of neurons on cancer cell growth nGFP Tuj1 NeuN Pancreatic PDX cell line DRG neuron Coculture

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Page 1: Uncovering novel cancer therapeutics using the Exoneural ...€¦ · Heat map showing effects of neurons on cancer cell growth nGFP Tuj1 NeuN Pancreatic PDX cell line DRG neuron Coculture

Uncovering novel cancer therapeutics using the Exoneural Medicines Platform: The role of innervation in cancerShan Lou, Alexandria Fink, Jay Wang, Jesse Turner, Garmen Yuen, Monica Thanawala, Alexandra Lantermann, Jenny Shu, Hongyue Dai, Pearl Huang, Jonathan [email protected] Cygnal Therapeutics 325 Vassar St, Suite 2B, Cambridge, MA 02139

AbstractPeripheral nerves were first described as a component of tumors in the late 19th century. In the mid-20th century early preclinical studies indicated that tumor cells could recruit innervation from spinal cord ganglia and that stress promotes tumorigenesis. Within the last 10 years improvements in technologies allowing neuronal tracking and regulation of neuronal function have uncovered a role for both autonomic and sensory innervation in multiple tumor types. Initial studies have implicated this biology in prostate, pancreatic, gastric and breast cancer, (among others) and point to a role for nerves in initiation, maintenance and metastasis of tumors. The stimulation of tumor cell growth by neural growth factors, the recruitment of neurites by tumor cells, the invasion and migration of tumor cells along nerves (perineural invasion), and the role of innervation in driving tumor angiogenesis are just a few examples of how peripheral nerves interact with the tumor microenvironment. Indeed, an argument could be made that innervation of tumors should be considered a hallmark of cancer.

We describe here a biological platform that can define and decode the role of neural signaling in cancer. This platform, which we call Exoneural Medicines Platform ™, has 6 technical components: 1) co-culture models of primary neurons with both tumor and immune cells, 2) advanced imaging modalities to define the neural component of tumors, 3) AAV and transgenic tools that allow regulation of neurons proximal to tumors in vivo and in vitro, 4) neural-focused functional genomics, 5) neural-focused bioinformatics, and 6) a neuropharmacopeia compound library for probing relevant biological pathways and identification of advanced starting points for drug discovery. We show here how the platform is being employed to characterize this exciting new space in cancer biology and identify new drivers of disease.

LB-B17

In house Tissue clearing and imaging pipeline

Before During Final

Neurites Blood Vessels

NeuritesBlood Vessels

Pancreatic PDX model Human patient biopsy Melanoma cell line xenograft

Neurites Blood Vessels

Tumor samples were sectioned into 2 mm slices, followed by fixation, polymerization, lipid removal and staining to show structures of blood vessels and nerve fibers

Blood vessels Neurites Blood vessels Neurites

SCLC SCLC + neurons

Flow chart of neuron/cancer cell coculture development

Real-Time Cancer cell growth detection

Lenti-CMV-nGFP

Neuron

nGFP Tuj1 NeuN

Figure showing faster growth of SCLC in coculture of neurons compared with monoculture in otherwise the same growth condition

Heat map showing effects of neurons on cancer cell growth

nGFP Tuj1 NeuN

Pancreatic PDX cell line

DRG neuron

Coculture of rat cortical neurons with SCLC showed direct contact of neurites with cancer cells

Transmission EM showing direct contact between cancer cells and neurons (arrow: protein density at intersection of the 2 cell types)

Coculture assay

Neurons Cancer cells

DAPI GFP Tuj1 NeuN

+ SCLC + PCaNeurons Alone

Compartmentalized chamber

Compartmentalized chambers separate neuron soma and cancer cells while allowing neurite growth cone exposure to cancer cell media as well as cancer cell perineural invasion after contact with neurites.

Neurite growth into the cancer cell compartment can be quantified. Comparison across several different cancer cell lines indicate different levels of neurite growth effects

Nerve labelingTumor implantationTissue analysis

10-14 daysNon-tumor

targeting ganglia

Non-tumor targeting ganglia

Tumor targeting ganglia

AAV intratumoral injection

AAV virusParticles

Spinal cord

DRG/SCG

Neuromanipulation

We can retrogradely label the tumor-innervating neurons by injecting AAV virus into the tumor. Only the ganglia which extend axons into the tumor are labeled with reporter fluorescence.

hSy

n-G

FP

DAPIGFPNeuNTuj1h

Syn

-DTR

-GFP

Vehicle DTA

Multiple AAV tools can be used to manipulate the tumor-innervating neurons by either ablating the neurons or activating them. Graphs showing proof of concept experiments in vitro.

Explant culture

Dorsal root ganglia (DRG) and Superior cervical ganglia (SCG) are dissected and cultured ex vivo, extending long neurites radially.

DAPI GFP Tuj1 NeuN

When cocultured the ganglia explants, cancer cells can migrate into the center of the ganglia directionally. Cancer cell motility and frequency inside the ganglia can be used to quantitate migration

→ Focused CRISPR library with sgRNAs targeting neuronal genes, transporters and ion channels: ~11,000 sgRNAs targeting ~1800 genes, 6 sgRNAs per gene

Day 1Plate cells

Day 2Transduce cells with CRISPR library

Day 3Startselection

Day 7Collect transduced cells

Baseline

In vitro screen

In vivo screen

Next Generation Sequencing

Data analysis

Extract genomic DNA

B. CRISPR screen identified the autism and schizophrenia-associated CYFIP protein for pancreatic tumor growth

A. Schematic of in vitro and in vivo CRISPR screening

CRISPR screening using highly innervated models

PAX

F19

97

PAX

F16

57

0

500

1000

1500

2000

2500

0 1 2 3 4 5 6 7

No

rm. r

ead

co

un

ts

0

500

1000

1500

2000

0 1 2 3 4 5 6 7

No

rm. r

ead

co

un

ts

0

500

1000

1500

2000

0 1 2 3 4 5 6 7

No

rm. r

ead

co

un

ts

0

500

1000

1500

2000

0 1 2 3 4 5 6 7

No

rm. r

ead

co

un

ts

BX

PC

3

0

500

1000

1500

0 1 2 3 4 5 6 7N

orm

. rea

d c

ou

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0

1000

2000

3000

4000

0 1 2 3 4 5 6 7

No

rm. r

ead

co

un

ts

NGS identifies lower read counts for individual sgRNAs targeting CYFIP1 in in vitro and in vivo replicates than in baseline replicates.

The autism and schizophrenia-associated CYFIP1 protein is required for pancreatic tumor growth and presents a potential therapeutic target. Poster LB-C05

MAGECK-VISPR algorithm was used to analyze the performance of the sgRNAs targeting each gene in the library. In vitro and in vivo performance plots for each sgRNA targeting CYFIP1 is show for BxPC3, PAXF1997 and PAXF1657 cell line models. Disease-specific survival analysis of TCGA Pancreatic adenocarcinoma (PAAD) patient data with low (red), moderate (green), or high (blue) expression of CYFIP1

Growth kinetics of subcutaneously implanted PAXF1657 cells expressing doxycycline inducible non-targeting control (NTC) or CYFIP1 sgRNAs.

Tumor innervation revealed by CLARITY