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ANTISENSE TECHNOLOGY EVOLUTION OF ANTISENSE CHEMISTRY
EVOLUTION OF ANTISENSE MECHANISMS
EXPLOSION OF ANTISENSE TARGETS BROUGHT BY THE GENETIC REVOLUTION
CHEMISTRY, MECHANISMSAND TARGETS
Antisense Technology – The Third Drug Discovery Platform
For diseases where targets are inaccessible with traditional approaches
Productivity of current approaches does not meet the need
Cost of drug discovery & failure rate of current approaches is high
Why is another drug discovery platform needed?
Platform technologies need to combine all the elements necessary to create rapidly & e�ciently a stream of new products
Isis has successfully generated a large pipeline of �rst-in-class antisense drugs, each unique to a speci�c RNA target & each to treat a disease where there are patients with signi�cant unmet
medical needs
Proteins are Made from Genes via mRNA
Small Molecules & Biologics Target Proteins
Antisense Drugs Target RNA, not ProteinsAntisense Targets – Unlimited Possibilities The Genomic Era Dramatically Increased
the Number of Potential Drug Targetsfor Antisense Technology
The RNA WorldThe Universe of Antisense Drug Targets is Expanding
Drug Discovery & DevelopmentStrategy
Understanding How Antisense Drugs Work Antisense Mechanisms of Action Spinal Muscular Atrophy: An Example of a Severe DiseaseTreatable with a Splicing Modulatory Antisense Drug
First-Generation Chemistry(Phosphorothioate, PS)
Second-Generation Chemistry(2’-Methoxyethyl, MOE)
First Demonstration of Generation 2.5 PotentialPotent Activity of STAT3 Inhibitor
in Human Tumor XenograftsGeneration 2.5 Chemistry(IScEt)
How Understanding MechanismHas Shaped
the Future of Antisense DrugsAttributes of Antisense Drugs
Creating Signi�cant Competitive Advantagefor the Platform
Three Drug Discovery Platforms
Antisense Platform TechnologySaves Time & Cost with Higher Success Rate
to Clinical Trials
How Antisense Technology Supports Our Business StrategyAntisense Platform Attributes
Identify the receptors that distribute antisense drugs to the target tissues
Determine how antisense drugs enter the cells in the target tissue
Determine how antisense drugs distribute to & bind the RNA receptor in the cell
Understand the mechanisms of action responsible for the reduction of the receptor RNA
Understand the mechanisms of unwanted e�ects
Natural nucleic acids (RNA & DNA) bind speci�cally to each other, but have �aws as drug molecules
Rapidly degraded in animals
Very poor distribution to tissues
The pharmaceutical industry has addressed these issues with other natural products using medicinal chemistry for over 100 years
Broaden therapeutic applications
Expand routes of delivery
Improve therapeutic index through increased potency & improved tolerability
Advance the chemistry platform
Control the technology through patents
To date more than 12 di�erent antisense mechanisms of actionhave been characterized
Spinal Muscular Atrophy (SMA) is caused by loss of a gene called SMN-1
Humans have a second copy of the gene that produces a defective protein due to an RNA splicing defect
Our antisense drug corrects the splicing disorder resulting in the production of a fully
functional protein
Generation 2.5 Drugs & Cancer
What Does the Future Look Like?
Rapidly incorporate Generation 2.5 chemistry to develop a broad preclinical pipeline of antisense drugs against targets involved in numerous
aspects of tumor biology
Understanding the mechanisms that distribute antisense drugs from the site of administration to the target receptor (RNA) in cells will result in the design of better antisense drugs
“A scienti�c milestone of enormous proportions, the sequencing of the human genome will impact all of us in diverse ways–from our views of ourselves as human beings to new paradigms in medicine.” Science Magazine - Feb. 2001
Gene mRNA
Transcription Translation
DISEASE
SMALL MOLECULE DRUGS (TRADITIONAL APPROACH)
BIOLOGICS
NO DISEASE
NO DISEASE
Disease-Causing Protein
Gene mRNA
Transcription
No Translation of Disease-Causing
Protein
NO DISEASE
ANTISENSE DRUGS(Oligonucleotides)
Attribute Small Molecules Biologics Antisense
History 1850s to present 1920s to present 1990s to present
Molecular weight 200-500 6,000 to >150,000 5,000 to 7,000
Identification of clinical candidate
Random screening Focused screening Rationally designed
Probability of identifying drug candidate
Low-~5% Moderate-~50% High-~90%
Routes of administration
Oral, injectable, inhaled
Injectable Injectable, inhaled, orally feasible
Platform Efficiencies Small Molecules Biologics Antisense
Discovery process - ++ +++
Pharmacology - ++ +++
Toxicology - ++ +++
Manufacturing - - +++
Routes of administration
+++ - ++
Only Direct Route from Genes to Drugs
Uniquely specific & broadly applicable
Efficient Discovery & Early Development
Dramatically reduced cost & increased success in R&D
Investment Amortized Across the Entire Pipeline
Chemistry, manufacturing,formulation & analytical methods
Generate an Evergreen Pipeline
Robust, diversified pipeline growing by 3-5 new drugs per year
Breadth of Opportunities
CMC Investments
Preclinical Development
Idea to Phase 1
TOX/PK
SMALL MOLECULE DRUGS
Only “druggable” targets
Unique investments required for each drug
~10% probability of reaching clinical trials
Cost $40-100M
Time 7-10 yrs
FTE/yr 20-40
Unique for each drug
ANTISENSE DRUGS
All genes Major tissues Most diseases - proven efficacy& safety in humans
Investments amortize over entire pipeline
~90% probability of reaching clinical trials
Time 2-5 yrs
Cost $5-10M
FTE/yr 3-5
Similar for all drugs No drug interactions
Specificity Selectively target a single gene product
Broad Applicability Ability to approach inaccessible targets
Rational Design Similar distribution & metabolism = common & predictable safety profile
Efficiency Cost & development time advantages
Lessons learned translated to future drugs
Manufacturing Simple & cost effective process
CHEMISTRY
MECHANISM
TARGETS
nucleus
nuclear envelope
cytosol
cell membrane
ANTISENSE DRUGS
mRNA
Antisense Strand
AntisenseStrand
Modulation of Splicing: An Example of a Novel Antisense Mechanism
CytoplasmNucleus
DNA
Introns
ExonsIntron
Exon 3‘5‘
mRNA
Cell Membrane
DNA RNA
Drug Properties (Example: Fomivirsen)
Potency 1,200 to 3,500 mg/week
Dose Frequency Daily to 3x/week
Cost of Therapy Between branded small molecules & antibodies
Routes of Administration
IV, enema & intravitreal
Chemistry Attributes
Adds stability
Improves distribution to tissues
Drug Properties (Example: Mipomersen)
Potency ~50 to 400 mg/week
Dose Frequency Weekly to monthly
Cost of Therapy Competitive with upper end of branded small molecules
Routes of Administration
SC, IV, inhalation, topical & intrathecal
Chemistry Attributes
Increases potency
Further increases stability
Reduces non-specific toxicities
Drug Properties
Potency <5 to 40 mg/week(10-fold )
Dose Frequency Weekly to monthly
Cost of Therapy >3-fold less costly
Routes of Administration
Same + potential of oral
Chemistry Attributes
Improves potency & therapeutic index
Expands range of targets & tissues
Increased patient convenience in dosing (including potentially oral)
The human genome (3 billion base pairs)
Most of the genome is transcribed into RNA (Directly targetable with antisense)
Coding RNAs (2-3% of genome)
Proteins
Non-coding RNA (all other RNAs including
microRNAs & long non-coding RNAs)
Novel Genetic-Based Targets
ANTISENSE DRUG DISCOVERY
Potential ToIdentify Sensitive
Patient Populations
Avoid Small Molecule
Competition
Early Clinical Readouts
Consistent With PK/PD (Distribution)
Compatible With Infrequent Injections
BiologicallyValidated Targets
Unmet Medical Need
Enhanced Commercial Potential
Increased potency
New mechanisms
Improved tolerability
Broadened therapeutic applications
Augmented patient coverage
Creating Antisense Drugs of the FutureInvestments in Antisense Technology
LIVER
SPLEEN
FAT
BONE MARROW
KIDNEYS
ISIS SMNRx Increases Survivalin a Mouse Model of SMA
ISIS SMNRx Improves Muscle Healthin a Mouse Model of SMA
ASO
-A
Know
n Bi
olog
ical
Tar
gets
Year
Genomic Revolution
Addition of non-coding RNAs
Gene mRNA
DISEASETranscription Translation
Disease-Causing Protein
SMN-2 Gene
1 2 2 3 4 5 6 8 SMN-2 mRNA
1 2 2 3 4 5 6 7 8
C to T
Defective Protein, missing exon 7
SMN-2 Gene
1 2 2 3 4 5 6 8 SMN-2 mRNA
1 2 2 3 4 5 6 7 8
C to T
Functional Protein
7
ASO
0
400
800
1200
1600
2000
10 15 20 25 30 35
Tum
or S
ize
(mm
3 )
Days after tumor inoculation
Saline ISIS-STAT3Rx, 25 mg/kg
p=0.001
STAT3
GAPDH
Saline ISIS-STAT3Rx
Generation 2.5 drug inhibits production of STAT3 protein
Human Breast Cancer Xenograft
Pipeline PARTNERED
PRECLINICAL PHASE I PHASE II PHASE III COMMERCIAL
BMS-PCSK9Rx CAD
PCSK9
ISIS-CRPRx CAD/Inflammation/Renal
CRP
ISIS FXIRx Clotting Disorders
Factor XI
ISIS-APOCIIIRx High Triglycerides
apoC-III
MIPOMERSEN High Cholesterol
apoB
ISIS-PTP1BRx Diabetes PTP-1B
ISIS-GCCRRx Diabetes GCCR
ISIS-GCGRRx Diabetes GCGR
ISIS-FGFR4Rx Obesity FGFR4
ISIS-SGLT2Rx Diabetes SGLT2
ISIS-STAT3Rx Cancer STAT3
OGX-011 Cancer clusterin
LY2181308 Cancer survivin
ISIS-EIF4ERx Cancer eIF-4E
OGX-427 Cancer Hsp27
ISIS-SOD1Rx ALS
SOD1
ISIS-TTRRx TTR Amyloidosis
TTR
ISIS-SMNRx Spinal Muscular Atrophy
SMN2
ATL1103 Acromegaly
GHr
ALICAFORSEN Ulcerative Colitis
ICAM-1 *Named Patient Supply
iCo-007 Ocular Disease
C-raf kinase
ACHN-490 Severe Bacterial Infection
Aminoglycoside
ATL1102 MS
VLA-4
EXC 001 Local Fibrosis
CTGF
CARDIOVASCULAR
METABOLIC
CANCER
SEVERE & RARE/ NEURODEGENERATIVE
INFLAMMATION & OTHER VITRAVENE®
CMV Retinitis CMV
ASO A, 2 µg, n=12, 22d
ASO A, 4 µg, n=24, 25d
Untreated SMA, n=19, 15d
Mismatch, 4 µg, n=18, 16d
ASO A, 8 µg, n=18, 25d
Antisense: A Technology Platform