Polymers in Biomedicine

6 Learn from the best and brightest minds in chemistry ... What is the biggest technical limitation to gene correction of hematopoietic stem cells...
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“Fighting Sickle Cell Disease with Gene Correction Technology”

Mark DeWitt

Alyson Weidmann

Project Scientist, Innovative Genomics Institute, UC Berkeley

Managing Editor, ACS Chemical Biology, ACS Chemical Neuroscience, and Biochemistry

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Fighting Sickle Cell Disease with Gene Correction Technology

Mark DeWitt, PhD Project Manager, Innovative Genomics Institute 12

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Sickle Cell: Complex Disease, Simple Cause Inherited recessive disease, caused by a SNP in ß-globin (HBB) •

Sickle red blood cells clog blood vessels, causing acute pain “crises” and vasculopathy



Organ damage/organ failure



Increased risk of stroke, pulmonary hypertension, and ACS



25-30 year decrement in lifespan (US)

100,000 affected in the US (almost all AfricanAmerican), millions more worldwide (mostly sub-Saharan Africa) 13

Gene Correction of the SCD SNP SNP HBB

SCD

Healthy • •

Clinical Precedent Sequence replacement via homology-directed repair (HDR)

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Cas9 ribonucleoprotein (RNP)/ssODN co-delivery



Fast



Easily designed



Easily optimized



Adaptable



Modular

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Challenge Question ANSWER THE QUESTION ON BLUE SCREEN IN ONE MOMENT

What is the biggest technical limitation to gene correction of hematopoietic stem cells in the clinic? • Poor delivery of the site-directed nuclease • Corrected alleles are not maintained long-term

• Toxicity of the gene editing procedure • There are no technical limitations to date

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How Much Correction? HCT Donor Chimerism

• Donor chimeras indicate that low levels of correction can cure SCD

80 60

• Possible that as little as 3-10% cellular correction is required for event-free survival

40 20

• “Low bar” for long-term engraftment

Months Post BMT

Walters MC, et al, Biology of Blood and Bone Marrow Transplantation (2001), 7:665-673

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Gene Correction Strategy • Cas9 RNP loaded with “G10” guide • ssDNA HDR donor “CJ6” asymmetrically designed around the cut site • co-delivery by electroporation

TCAGGGCAGAGCCATCTATTGCTTACATTTGCTTCTGACACAACTGTGTTCACTAGCAACCTCAAACAGACACC ssDNA DONOR (TOP STRAND)

SCD SNP

CUT SITE PAM

ATGGTGCACCTGACTCCTGTGGAGAAGTCTGCCGTTACTGCCCTGTGGGGCAAGGTGAACGTGGATGAAGTTGG AA G WT

Richardson CD et al. NBT (2015) DeWitt MA et al. Sci. Tran. Med. (2016)

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Edited SCD HSPCs show increased HbA, HbF Untreated

200 pmol RNP T111-27S

HbS

HbA HbA2 HbS HbF HbA2 HbF HbA

%hemogllbin by HPLC

100

HbA2 HbS HbA HbF

50

0

Template pmol trG10 RNP -

T88-107S T111-57S T111-27S

100

100

Template pmol trG10 RNP

200

-

T88-107S T111-57S

100

100

T111-27S

200

PHENOTYPE

GENOTYPE

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Engraftment of Edited Cells 80

%HDR %Indel %Total

80

human CD45+ (% of total CD45+)

60 40 20

Injected Uninjected

60 40 20 0

In

pu

t

80

6

6

60

60

0

0

W ee k

8 W ee k

k ee W

8

d oo Bl W

k ee

16

M (B

)

40

20

20

0

0 (B M )

2

16 W (s ee ple k en 8 (b ) lo od W ) e W ek ee 16 k 16 (BM (s ) pl ee n)

2

40

d oo Bl

W ee k 16 W (s ee ple k 8 en) (b lo od W ) W eek ee 1 6 k 16 (BM (s pl ) ee n)

4

W ee k 16 W (B ee M k ) 8 (b lo od )

4

%Indel by NGS

80

%Indel by NGS

8

%HDR by NGS

8

(b lo od )

%HDR by NGS

k ee W

5

16

0

W ee k

%Alleles by NGS

100

Wendy Magis, David Martin

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PRECLINICAL DEVELOPMENT

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Preclinical Development Timeline STAGE

TASKS -Sickle mutation

Target Identification

-HSPCs -Cas9 RNP

Preclinical Proof of Concept

pre-pre-IND meeting

-Protocol optimization -Validation in mouse -Clinical scale-up -Off-target qualification -Cas9 retention

Safety Studies

-Expansion, viability -CFU

GLP Test Product Manufacture

pre-IND meeting -Tox: Clinical-scale transplant -Activity: NGS at 4 months

GLP Toxicity Studies

-Plerixaflor mobilization

Draft Clinical Protocol

IND

-15 month FU -12 patients, single-dose -GLP NGS, immune response 22

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CIRM TRAN1 Disease Team • Mark Walters (CHO/UCSF) – SCD BMT specialist (Project PI) • Jacob Corn (IGI/Berkeley) – CRISPR/Cas9 • Donald Kohn (UCLA) – Gene editing and gene therapy • David Martin (CHORI/UCSF) – Globin genetics • Project Manager – Yours Truly

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High-Throughput NGS platform

Jon Vu, Nick Bray, Stacia Wyman

STACIA

Analysis pipeline

Data!

MiSeq sequencing

Manifest

Genomic DNA

JON

NGS Prep (HBB and OTs) QC

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Optimization of Editing Conditions %NHEJ

%Alleles by NGS

60

• EP pulse: Lonza 4d (ER100)

%HDR

40

20

0

• sgRNA (3xMS protection)

1

-E

R

0 10 2

-D

O

0 10 3

-E

0 10 O 4

A1 -C

37 5

nt -u

ed at re

Condition %NHEJ

• Culture time before/after EP, LT-HSC expansion additives

%Alleles by NGS

60

%HDR

40

20

0

1

-E

R

0 10 2

-3

xM

S 3

-1

xM

SP 4

at re nt -u

ed

sgRNA

25

Titration of RNP and ssDNA RNP titration: editing outcomes

ssODN titration: editing outcomes 90

%NHEJ

60

%total editing 60

20 40 0 20 0

50

0 0

100

150

%Alleles by NGS

40

90

%NHEJ

80

80 70 60 50

80

%total editing 70

%NHEJ %total editing

60 50

0 0

50

RNP titration: HDR

1515 1010 5 0

15 10 5 0

100

ssODN dose (pmol/200,000 cells) 100 150 200

25

%Alleles by NGS

20

%Alleles by NGS

25

%Alleles by NGS

%Alleles by NGS

25

50

200

ssODN titration: HDR

2020

0

150

ssODN titration: HDR

RNP titration: HDR

0

100

ssODN dose (pmol/200,000 cells)

25

0

50

40

RNP 50 dose (pmol/200,000 cells) 200 100 150

Dosing: 75 pmol RNP per 200,000 cells, 100 pmol ssDNA per 200,000 cells 20 µM EP volume.

40

200

RNP dose (pmol/200,000 cells)

5

%NHEJ

ssODN titration: editing outcomes

%total editing

100

%Alleles by NGS

RNP titration: editing outcomes

80

%Alleles by NGS

%Alleles by NGS

100

150

50dose (pmol/200,000 100 150 RNP cells)

RNP dose (pmol/200,000 cells)

200

0

200

Dosing, cells and EP volume will be scaled up accordingly.

20 15 10 5 0 50 100 150 0 100cells) ssODN dose 50 (pmol/200,000

200

150

200

ssODN dose (pmol/200,000 cells) 26

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Tranfusion Discard HSPC • From transfusion of discard material of individuals with SCD undergoing treatment at Children’s Hospital Oakland • Discard sent to Allcells for RBC depletion and CD34 isolation • 9 million CD34+ HSPC from ~1 liter of discard

editing outcomes 50

%Cells

%Alleles by NGS

FACS analysis - stringent gating 80 70 60 50 40

LT-HSC (%) ST-HSC (%) progenitors (%)

6 4

%NHEJ

40

%HDR

30 20 10

2

0

0

m

ob

e iliz

d

S PB

C ck Si

le

m

PB

SC

iliz ob

ed

PB

SC

di (e

t

) ed

ck Si

le

SC PB

d (e

d) ite

m

i ob

e liz

d

PB

SC Si

le ck

m

S PB

i ob

liz

C

ed

PB

SC

d) te di (e

Si

le ck

S PB

C

d) te di (e

Sample

Condition

No colonies in CFU Assay

Jenny Shin, Wendy Magis, David Martin

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Mobilized PB HSPC • From a mobilization of a participant in an SCD gene therapy clinical trial • We received 130 million cells from the discard of the first collection

NGS data

%Alleles by NGS

80

%HDR (Correction)



Perform identically to WT-HSPC in all key respects



Additional are possible Q3 this year, Q1 next

%NHEJ

60 40 20

Form colonies in CFU assay

ne di te d U

s2 C SP H D SC

SC

D

H

SP

C

s1

0

Jenny Shin, Wendy Magis, David Martin

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In vitro phenotyping: HPLC and RNAseq HPLC of edited P-only SCD HSPC after correction with ssDNA donor: 22% HbS, 40% HbA, 37% HbF

%of ß-globin transcripts (RNAseq)

ß-globin expression by RNAseq (liquid culture) 50 40 30 20 10

RNAseq: >50% non-sickle HBB H

BB

0

-s

l de in on _ cd

H

-w BB

t

BD H

BG H

1

BG H

2

Wendy Magis, David Martin

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Bringing It All Together: Ongoing Mouse Studies

Completion: December 2017 30

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SAFETY AND TOXICITY

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Challenge Question ANSWER THE QUESTION ON BLUE SCREEN IN ONE MOMENT

In terms of safety and toxicity of ex vivo gene editing of hematopoietic stem cells with Cas9 ribonucleoprotein-based treatment, what is the foremost safety concern? • Cytotoxicity of gene editing treatment • Pre-existing immunity against Cas9 protein • Toxicity of myeloablative regimen • Off-target genotoxicity

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Pre-clinical Off-target Evaluation

Unbiased: GUIDE-seq, IDLV integration Bioinformatic (Cas-OFFfinder, CRISPor)

Off-target Discovery

Validation by deep sequencing of test product

Validation in target cell type is crucial!

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GUIDE-seq Identifies Few off-Targets 1

K562 Cells

10

23

Reads

• • • • • • • • • • • • • • • • • • • • • • •

295962 114024 5350 672 35

• • • • • • • •

C T C T

1

HSPCs

20

CCGTTACTGCCCTGTGGGGCAAG

TGA • • • G C • G G C A AG • G •

• • • • • • • • • • • • • • • • • • •

G

• • • • • • • • • • • •

• • • • • • • • • • • •

CT



• • • • • • • • • • • • • • •

10

20

23

HBB OT1 (Intergenic) Intergenic Chr12 Intergenic Chr17 Intergenic Chr17

CCGTTACTGCCCTGTGGGGCAAG

Reads

• • • • • • • • • • • • • • • • • • • • • • •

10776 HBB 2960 OT1 (Intergenic)

• •

C

• • • • • • • • • • • • • • • • •

TGA

Shirley Shao

Tsai SQ et. al. Nature Biotechnology (2015)

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Validation of GUIDE-seq Sites by Amplicon Re-sequencing 100

K562 - J10 HSPCs - J10

10

K562 - Un

%Indels by NGS

HSPCs - Un 1

0.1

0.01

O

nta

rg et (H

BB Si ) te Si 1 te Si 2 te Si 3 te Si 4 te Si 5 te Si 6 te Si 7 te Si 8 t Si e 9 te Si 10 te Si 11 te Si 12 te Si 13 te Si 14 te Si 15 te Si 16 te Si 17 te Si 18 te Si 19 te Si 20 t Si S e 2 te i t 1 23 e 2 (O 2 T Si 2) t Si S e 24 te i t 26 e 2 (O 5 T1 )

0.001

GUIDE-seq site

Shirley Shao 35

High-fidelity Cas9 Variants Cutting by Cas9 variants: standard RNP assembly protocol 80

100

OT1 OT2

40 20 2.5 2.0 1.5

%Viable (trypan blue)

HBB

60

80 60 40 20

d at e

91 . un

tre

as

W

T

pC

(B

m T

es

er k

el e

an t

y)

2

1 ut

ut

0.2

ID

ID

T

m

0.4

1

0

1.0

an t

%Modification by NGS

High-Fidelity Cas9s - viability 24 h after EP (standard assembly protocol)

Cas9 variant

IDT variant (Alt-R Cas9) delivers 20x improved fidelity

ID

T ID mu T ta m n es u t t 1 W pC ant T as 2 (B 9 er 1.1 k u n e le t y ID rea ) te T d ID mu T ta m nt es u t 1 W pC ant T as 2 (B 9 er 1.1 k u n e le t y ID rea ) te T d ID mu T ta m nt u es t 1 W pC ant T as 2 (B 9 er 1.1 k u n e le tre y) at ed

0.0

Cas9 variant

• IDT mutant 1 can be substituted for WT (20x reduced off-target) • Available commercially very soon.

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OT1R OT1F 0.10

0.05

0.00

62 K5 -wi 6 ld H 2-I -typ SP D T e K5 C-I Hi 62 DT F I H -U H SP n iF C ed i -U ite ne d K5 di 62 te d w K5 i 62 ldH -I typ SP D T e K5 C-I Hi 62 DT F I H -U H SP n iF C ed i -U i t ne ed di te d

Zule Romero (Kohn Group)

0.15

K5

%ddPCR events (normalized)

Translocations by ddPCR

37

Off-target Deliverables

• Evaluate GUIDE-seq hits and top 200 bioinformatic hits by deep sequencing • ddPCR (and AMPseq) for translocations between HBB and other sites such as OT1

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Cas9 Retention: Western Blot p p ry ry 0 1 4 6 -T +T 0 1 4 6 y y y y D ED ay ay ay ay E D D D D D a Da D a D a T AT p p p p A p p p p ry ry ry ry ry ry ry ry e r RE R E -T -T -T -T +T +T +T +T dd T T La UN UN EP E P E P E P EP EP EP EP

dd La

er

T UN

R

D TE EA

p ry -T

EP

p ry -T

y Da

1

EP

+

yp Tr

y Da

1

150kDa 100kDa

150kDa 100kDa

Cas9

50kDa 37kDa

50kDa 37kDa

GAPDH

HSPCs 150kDa 100kDa 0 n 0 . 0. 1 n 2 n 4 n 5 n 1 0 2 0 g 1n 5n g g g g ng ng g g

Cas9 apparent by blot 1 day after EP Likely on the surface of the cells

K562 Cells Jon Vu

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Cas9 Retention: ELISA Cas9 reten on in HSPCs 1 day a er EP

Jon Vu

0.3

• ~15 µg Cas9 protein per Clinical equivalent

0.25

Absorbance 450-655nm

y = 0.058x + 0.1101 R² = 0.94778

0.2

• +Trypsin leads to 10-fold reduction

y = 0.0685x + 0.0209 R² = 0.96254

0.15

y = 0.057x + 0.0093 R² = 0.95839

• Most Cas9 is on cell surface

0.1 Untreated (-trypsin) EP (day 1) -trypsin

0.05

EP (day 1) +trypsin Linear (Untreated (-trypsin)) Linear (EP (day 1) -trypsin) Linear (EP (day 1) +trypsin)

0 0

0.5

1 1.5 ng Cas9 Standard Added

2

2.5 40

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MANUFACTURING (CMC)

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Challenge Question ANSWER THE QUESTION ON BLUE SCREEN IN ONE MOMENT

For pre-clinical studies, what grade of reagents must be used to manufacture a test product? • Reagents made in your lab (not under GLP) • Research-grade reagents from a qualified supplier • Reagents made under cGMP • All of the above

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Preclinical Supplier Qualification Program Critical Reagent?

No

NO

YES Yes

In-house testing Potency: %HDR Safety: Viability, expansion Purity: on CoA

YES Yes

Accept on CoA No

YES Yes

NO

cGMP? FDA-audited? ISO cert. QMS? Track record?

Questionnaire Doc. Review Phone Call(s)

Desk Audit

PASS Pass

In-House Testing req.?

Formulation and Release Acceptance with testing

• • •

Low Risk Supplier?

PASS Pass

Concentration, solvent Release Testing

Site Visit Interviews Doc. Review

“Phase-appropriate” raw materials program Test manufacture and GLP toxicity studies using research-grade reagents Phase I product using cGMP reagents where possible/appropriate 43

Manufacturing at UCLA

Release: Potency (%Correction) Cas9 retained (ELISA) Identity (%CD34) Viability (trypan blue) Sterility, Mycoplasma Endotoxin

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CLINICAL

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Study Schema / Methodology Clincial: CHO CHO (UCSF) Clincial: UCLA, (UCSF) Clincial:UCLA, UCLA, CHO (UCSF)

Manufacturing: UCLA Manufacturing: UCLA UCLA Manufacturing:

Enrollment

Critical Reagents: Cas9, ssDNA, sgRNA

Enrollment Enrollment

Critical Reagents: Cas9, ssDNA, Critical Reagents: Cas9, sgRNA ssDNA, sgRNA

B-L measurement

CD34+ Isolation

B-L measurement B-L measurement

CD34+ Isolation CD34+ Isolation Gene Correction (EP)

HSPC Mobilization

HSPC Mobilization HSPC Mobilization Myeloablation

HSPC backup

HSPC backup HSPC backup

Myeloablation Myeloablation HSPC infusion

HSPC infusion HSPC infusion Follow-up (24 mo)

Follow-up (24 mo) Follow-up LTFU (15 (24 yr) mo)

Gene Correction (EP) Gene Correction (EP) Cryopreservation

Cryopreservation Cryopreservation Release Testing

Baseline evaluation/eligibility: physical, laboratory exams, history Release Release Testing Testing Mobilization: single-dose plerixafor. 1.5 milion cells/kg for manufacturing, ~0.5 million/kg backup. Myeloablation: busulfan Follow-up: monthly blood draws. LTFU: every 6 months, in-person, 15 years. 46

LTFU (15LTFU yr) (15 yr)

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Correlative Study: Ineffective Erythropoiesis Less Mature

More Mature

Earlier studies suggest ineffective erythropoiesis in BM of SCD patients with WT donor chimerism. This study generates 3 major genotypes: SCD, thalassemia-like, and wild-type (corrected). Which one(s) is predominant in BMMCs, PBMCs, and RBCs?

Wu et al. (2005) Blood

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Expected Results / Potential Problems Optimal outcomes include: • Replacement of HbS by HbA and HbF following DP infusion. • Elimination of all signs and symptoms of sickle cell anemia with a significant survival benefit Minimally acceptable outcomes include: • Reduction of HbS (