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Pushing	
  the	
  Innovation	
  
Envelope	
  
Kenneth I Kaitin, PhD
Professor and Director
Tufts Center for the Study of Drug Development
Evolution Summit 2015
Las Vegas, NV, September 20, 2015
Strategies	
  for	
  Boosting	
  Productivity	
  
and	
  ROI	
  
Agenda
• Environment	
  for	
  pharmaceu1cal	
  R&D	
  
• CSDD’s	
  current	
  drug	
  development	
  metrics	
  
• New	
  models	
  of	
  bioinnova1on	
  
The	
  Current	
  Landscape	
  for	
  
Pharma	
  Innova6on	
  
Current Realities for Pharmaceutical
Developers
• Patents	
  on	
  many	
  top-­‐selling	
  products	
  are	
  expiring	
  
• Marketplace	
  is	
  highly	
  compe11ve	
  and	
  
reimbursement	
  environment	
  is	
  increasingly	
  
restric1ve	
  
• Public	
  support	
  for	
  the	
  industry	
  is	
  low	
  
• Regulatory	
  hurdles	
  are	
  increasing	
  
• Pharmaceu1cal	
  R&D	
  remains	
  a	
  long,	
  risky,	
  and	
  
expensive	
  process	
  
Source: Tufts CSDD, 2015
Patent Expirations of 10 Top-Selling
Drugs Each Year
2010 2011 2012 2013
Product
2009	
  Sales	
  
($MM)
Product
2009	
  Sales	
  
($MM)
Product
2009	
  Sales	
  
($MM)
Product
2009	
  Sales	
  
($MM)
Aricept	
   3,991	
   Lipitor	
   12,535	
   Plavix	
   9,801	
   Cymbalta	
   4,660	
  
Cozaar	
   3,561	
   Advair	
   7,794	
   Enbrel	
   6,575	
   AcipHex	
   2,728	
  
	
  Effexor	
  XR	
   3,182	
   Zyprexa	
   4,916	
   Diovan	
   6,013	
   Humalog	
   1,959	
  
Taxotere	
   3,034	
   Levaquin	
   2,648	
   Seroquel	
   5,126	
   Zometa	
   1,469	
  
Protonix	
   2,052	
   Xalatan	
   1,737	
   Singulair	
   4,660	
   Niaspan*	
   853	
  
Flomax	
   1,970	
   Concerta*	
   1,326	
   Lexapro	
   3,263	
   Lovaza	
   705	
  
Arimidex	
   1,921	
   Femara	
   1,292	
   Avapro	
   3,088	
   Xopenex^	
   357	
  
Gemzar	
   1,363	
   Xeloda	
  	
   1,160	
   Actos	
   2,532	
   Zomig^	
   166	
  
NovoSeven	
   1,320	
   Avelox	
   1,020	
   Viagra	
   1,892	
   Advicor^	
   80	
  
Coreg^	
   253	
   Caduet	
   548	
   Avandia	
   724	
   Fuzeon^	
   26	
  
Total	
   $22,647	
  	
   Total	
   $34,976	
  	
   Total	
   $43,674	
  	
   Total	
   $13,003	
  	
  
Sources: Kaitin, Clin Pharmcol Ther, 2010;87:356-361; Medco; FDA Orange Book;
(sales data): MedAdNews; www.drugs.com/top200; Medco
*Year of first available generic; ^US Sales only
‘Industry Leaders’ in Lost Revenues Due
to Patent Expirations
$3.3
$4.0
$4.6
$4.7
$7.2
$8.8
$9.5
$11.3
$12.9
$29.2
Forest
J&J
Sanofi
Merck
AstraZeneca
Novartis
GSK
BMS
Lilly
Pfizer
Billions of US$
Sources: Kaitin, Clin Pharmcol Ther, 2010;87:356-361; Medco; FDA Orange Book;
(sales data): MedAdNews; www.drugs.com/top200; Medco
Blockbuster Patent Expirations, 2014-16
Year Brand Generic Company Indication
Sales
($BB)*
2014 Nexium Esomeprazole Astra Zeneca GERD 4.5
Cymbalta Duloxitine Eli Lilly Depression, anxiety, nerve pain 4.2
Symbicort Budesonide/Formoterol Astra Zeneca Asthma, COPD 3.1
Celebrex Celecoxib Pfizer Arthritis, acute pain 2.5
Evista Raloxifine Eli Lilly Osteoporosis 1.4
Sandostatin Octreotide Novartis Acromegaly syndrome 1.4
Actonel Risedronate Warner Chilcott Osteoporosis 1.1
2015 Abilify Aripiprazole Otsuka Schizophrenia, bipolar disorder 5.2
Gleevec Imatinib mesylate Novartis Chronic myeloid leukemia (CML) 4.7
Copaxone Glatiramer Teva Multiple sclerosis 3.6
Namenda Memantine Forest Alzheimer's disease 1.4
Zyvox Linezolid Pfizer Antiviral 1.3
Prezista Darunavir Janssen HIV 1.3
Provigil Modofinil Teva Excessive sleepiness 1.2
Avodart Dutasteride GlaxoSmithkline Benign prostatic hyperplasia (BPH) 1.2
Combivent Albuterol/Ipratropium Boehringer Ingelheim COPD 1.1
2016 Crestor Rosuvastatin calcium Astra Zeneca Hypercholesterolemia 7.1
Benicar Olmesartan medoxomil Daiichi Sankyo Hypertension 2.6
Source: EvaluateGroup.com, 2014
* 2011 Global Sales
Top 20 Companies Spent $ 93.3B in
Pharma R&D in 2013
$1.6
$1.8
$1.8
$2.1
$2.2
$2.2
$2.3
$2.9
$3.2
$3.7
$3.9
$4.8
$5.5
$6.5
$6.6
$6.7
$7.5
$8.2
$9.9
$9.9
Merck KGaA
Astellas
Daiichi Sankyo
Gilead
Novo Nordisk
Celgene
Bayer
AbbVie
Takeda
BMS
Amgen
AstraZeneca
Eli Lilly
GSK
Sanofi
Pfizer
Merck
J&J
Novartis
Roche
Billions of US$
Source: GEN: Genetic Engineering & Biotechnology News, Mar 17, 2014
Source: Tufts CSDD, 2015; R&D expenditures from PhRMA
New Drug and Biologic Approvals Are
Not Keeping Pace with Rising R&D Costs
0
14
28
42
56
0
14
28
42
56
1963 1966 1969 1972 1975 1978 1981 1984 1987 1990 1993 1996 1999 2002 2005 2008 2011 2014
R&DExpenditures
(Billionsof2013$)
NME/NBEApprovals
* Trend line is 3-year moving average; R&D expenditure adjusted for inflation
R&D Expenditures
New Approvals
The Changing Pharma Business Model
Source: Tufts CSDD, 2015
High Volume
Low Margins
Low Volume
High Margins
Precision Medicines
Orphan Drugs
Specialty Pharma
Source: CDER New Drug Review: 2014 Update, JK Jenkins, FDA/CMS Summit, 12-11-14
The High Cost of Treating Certain
Orphan Diseases
Source: J Cohen and CP Milne, “Is the Increasing Cost of Treating Rare Diseases
Sustainable?” Expert Opinion on Orphan Drugs 2013;1(8):581-3
Bringing	
  a	
  New	
  Drug	
  to	
  Market:	
  
Current	
  TuNs	
  CSDD	
  Drug	
  
Development	
  Metrics	
  
Source: Tufts CSDD, 2015
0 10
AIDS Antiviral
Anti-infective*
Immunologic
Cardiovascular
Antineoplastic
Gastrointestinal
Endocrine
Respiratory
CNS
5.9
6.0
7.4
7.4
7.5
7.7
7.8
8.3
8.7
0.9
0.8
1.2
1.6
0.6
0.9
1.0
1.6
1.0
Years
Clinical Phase Approval Phase
Clinical and Approval Times Vary Across
Therapeutic Classes, 2010-14
* Anti-infective excludes AIDS antivirals
Overall Clinical Approval Success Rates
for New Drugs has Dropped to 11.8%
0 27
CNS
Cardiovascular
GI/Metabolism
Oncology/Immunology
Musculoskeletal
Sys. Antiinfective
4.7%
8.7%
9.4%
13.4%
20.4%
23.9%
Clinical Approval Success Rate
Source: Tufts CSDD, 2015
72%
35%
80%
71%
49%
55%
68%
35%
50%
63%
32%
64%
60%
33%
46%
58%
52%
79%
0
100
Phase 1-2 Phase 2-3 Phase 3-Subm
TransitionProbability
Musculoskeletal
Onc/Immunologic
GI/Metabolic
Cardiovascular
CNS
Syst Antiinfective
Phase Transition Probabilities by
Therapeutic Class
Source: DiMasi et al, Clin Pharmacol Ther, 2010;87:272-277
54%
53%
48%
41%
40%
36%
35%
44%
17%
23% 23%
32%
20%
13%
33%
23%
26%
23%
28%
27%
36%
47%
29%
32%
0%
20%
40%
60%
Efficacy Safety Commercial
Share of Failures
Source: Tufts CSDD Impact Report, Vol 15 (5), Sep/Oct 2013
Reason for Failure Varies by Therapeutic Class
Long Development Times + Low Success
Rates = High R&D Costs
Source: Tufts CSDD, 2015
430
965
1,395
1,098
1,460
2,558
Pre-human Clinical Total
Millionsof2013$
Out-of-Pocket Capitalized
Capitalized R&D Costs Have Increased
145% Since Early 2000s
Source: Tufts CSDD, 2015 (based on CSDD cost study series publications, 1979-2015)
109 70
179
278
135
413436
608
1,0441,098
1,460
2,558
Pre-human Clinical Total
Millionsof2013$
1970s 1980s 1990s-early 2000s 2000s-early 2010s
Source: Tufts CSDD, 2015
Drivers of High Development Costs
• Poor	
  preclinical	
  screens	
  and	
  predic1ve	
  models	
  
• Chronic	
  and	
  complex	
  indica1ons	
  
• Clinical	
  trial	
  size	
  
• Pa1ent	
  recruitment/reten1on	
  
• Increased	
  protocol	
  complexity	
  
• Regulatory	
  demands	
  
• Commercial	
  demands	
  
Source: Tufts CSDD, 2015
Typical Phase III Protocol 2002 2012
Scientific Total Number of Endpoints 7 13
Total Number of Procedures 106 167
Total Number of Eligibility Criteria 31 50
Average Number of Major Amendments 2.3 3.6
Proportion of ‘Non-Core’ Procedures 18% 31%
Operating Total Number of Countries 11 34
Total Number of Investigative Sites 124 196
Total Number of Patients Randomized 729 597
Total Number of Data Points Collected 494,236 929,203
Increase over Plan Timeline to Reach LPLV 28% 73%
Protocol Complexity is Increasing
Source: Tufts CSDD, 2015; *Medidata Solutions
Source: Tufts CSDD, 2015
Portfolio Decision-Making Grid
Oncology
CNS
Cardiovascular
Infectious
Disease
Medical
Need
Competitive
Landscape
Technical
Challenge
Exploitable
Science
Compounds in Development by
Therapeutic Area: Oncology Leads
Source: EvaluatePharma® (3 May 2012)
Oncology 31%
Systemic
Intiinfectives 15%
Central Nervous
System 14%
Cardiovascular 7%
Musculoskeletal 5%
Endocrine 5%
Gastrointestinal 4%
Respiratory 4%
Dermatology 3%
Sensory Organs 3%
Genito-Urinary 3%
Blood 3%
Other 4%
Trends in New Drug and Biologics Approvals
Within Four Largest Therapeutic Class
Source: Tufts CSDD, 2015
0% 10% 20% 30% 40% 50% 60% 70%
2010-13
2000-09
1990-99
1980-89
Share of US New Drug Approvals
Anti-infective* Antineoplastic Cardiovascular CNS
* Anti-infective excludes AIDS antivirals
Source: Tufts CSDD, 2015
How to Stimulate Innovation in Areas with
High Medical Need but Low Investment
Appeal and/or High Technical Risk
• Legisla1ve	
  and	
  regulatory	
  push/pull	
  ini1a1ves,	
  such	
  
as	
  BTD,	
  priority	
  vouchers	
  and	
  market	
  exclusivity	
  
• Establish	
  public	
  support	
  by	
  making	
  disease	
  area	
  a	
  
na1onal	
  priority:	
  e.g.,	
  “War	
  on	
  Cancer”,	
  AIDS,	
  Ebola,	
  
White	
  House	
  BRAIN	
  Ini1a1ve	
  
• Invest	
  in	
  basic	
  research	
  
• Foster	
  strategic	
  partnerships	
  and	
  integrated	
  
alliances	
  
The	
  Bioinnova6on	
  Landscape	
  is	
  
Changing	
  
Strategies Driving Development Performance
1990-1999 2000-2009 2010-present
Operating
Changes
•  Project
Management
•  Procurement/
Cost-containment
•  Globalization
•  Downsizing/
Consolidation
•  Downsizing and
Consolidation
•  Flexible and virtual
workplaces
Alliances •  M&As
•  Public-private
partnerships
•  Transactional
Outsourcing
•  M&As
•  In-Licensing and
Joint Ventures
•  Functional
service
outsourcing
•  M&As
•  In-Licensing, JVs
•  Public-private
partnerships
•  Precompetitive
alliances
•  Integrated outsourcing
Technologies •  Rapid screening
•  Combinatorial
chemistry
•  EDC and IVRS
•  -Omics
•  eClinical Trial
Solutions (e.g.,
CTMS)
•  Platform technologies
•  Companion
diagnostics
•  Integrated Big Data
•  Social media
•  Mobile health
Source: Tufts CSDD, 2015
Transforming R&D Strategy:
Innovation Partnerships
u  Academic-Industry: (‘upstream/TR focus’) e.g., PFEs-CTIs; J&J
Innovation Centers, LLY-Lilly Innovation Fellowship Awards; ADDCs
u  Multi-Stakeholder Consortia and PPPs: e.g., ADNI (26 partners);
Enlight Biosciences (8 cos); TransCelerate BioPharma (18); IMI; MS Outcome
Assessments Consortium; Coalition Against Major Diseases (CAMD)
u  Outsourcing providers: (virtual) LLY-Chorus; (functional) LLY-Covance/
Advion; BMS-Accenture; AZN-(API)
u  Patient groups: e.g., VRTX-CFF; Breast Cancer Alliance; Lupus
Foundation; Michael J. Fox Foundation
u  Payer-Industry
u  VC partnerships
u  Open innovation and Crowdsourcing: e.g., LLY-Open Innovation
Drug Discovery; Transparency Life Sciences
Source: Tufts CSDD, 2015
Source: Giniatullina et al, Nature Biotechnology 2013;31:284-7
Partnering Interest Among Pharma Firms
A FIPNet Model for Drug Development:
The Emergence of Innovation Nodes
Phase IV
StudiesApproval
Late Stage
Development
Early Stage
Development
Discovery
Preclinical
Research
Pre-Discovery
Large Pharma
Academia
Biotechs/
Small Pharma
CROs/Patient
Groups/ Other Partners
Basic Research Translational Medicine
Execution, Monitoring, Analysis
Innovation, Partnerships
Coordination, Management Execution, Monitoring, Analysis
Large Scale Clinical Trials
Data Analysis
Medical Writing
Regulatory Approval
Source: Kaitin, Clin Pharmacol Ther, 2010;87:356-361
Source: Tufts CSDD, 2015
Lupus
Innovation Nodes: 21st Century Bioinnovation
Type 2
Diabetes
Alzheimer’s
Disease Accelerating Medicines
Partnerships
	
  	
  Government	
  
•  NIH	
  
•  FDA	
  
	
  	
  	
  Founda6ons	
  
•  American	
  Diabetes	
  Assoc	
  
•  Alzheimers	
  Assoc	
  
•  Founda1on	
  of	
  NIH	
  
•  Geoffrey	
  Bean	
  Founda1on	
  
•  Lupus	
  Founda1on	
  of	
  
America	
  
•  Rheumatology	
  Research	
  
Founda1on	
  
•  USAgainstAlzheimers	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  Companies	
  
•  Abbvie	
  
•  BiogenIdec	
  
•  BMS	
  
•  GSK	
  
•  J&J	
  
•  Eli	
  Lilly	
  
•  Merck	
  
•  Pfizer	
  
•  Sanofi	
  
•  Takeda	
  
Rheumatoid
Arthritis
Risk-Sharing Collaboration Inefficiencies
Source: Tufts CSDD, 2015
74.9
17.0
91.5
66.0
15.8
82.0
70.2
16.4
86.5
Clinical Phase* Approval Phase** Total Phase***
Months
Interrupted Uninterrupted All
* p=0.0131; ** p=0.4147; ***p=0.0116
Characteristics of Top-Performing
Strategic Partnerships
Source: Tufts CSDD, 2015
• High	
  level	
  of	
  partner	
  specializa1on	
  
• Shared	
  governance	
  and	
  opera1ng	
  risk	
  
• Integrated	
  systems,	
  SOPs,	
  processes	
  
• Sophis1cated	
  planning	
  and	
  coordina1on	
  
• More	
  efficient	
  interac1ons	
  
• Faster	
  engagement	
  
• Innova1ve	
  ideas	
  
Bottom Line:
Integrated	
  strategic	
  partnerships	
  allow	
  
stakeholders	
  to	
  spread	
  risk	
  and	
  leverage	
  
knowledge	
  and	
  resources,	
  offering	
  the	
  
best	
  hope	
  of	
  finding	
  new	
  treatments	
  for	
  
many	
  unmet	
  medical	
  needs.	
  
Source: Tufts CSDD, 2015
Tufts Center for the Study of
Drug Development
Tufts University, Boston, Massachusetts, USA
Email
Kenneth.Kaitin@tufts.edu
Website
http://csdd.tufts.edu
Kenneth I Kaitin, PhD
Professor and Director
Tufts University School of Medicine
For more information about theFor more information about the 
marcus evans Pharma 
S it iSummits series: 
pharmaseries@marcusevanscy.com

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Pushing the Innovation Envelope: Strategies for Boosting Productivity and ROI - Kenneth Kaitin, Tufts University School of Medicine

  • 1. Pushing  the  Innovation   Envelope   Kenneth I Kaitin, PhD Professor and Director Tufts Center for the Study of Drug Development Evolution Summit 2015 Las Vegas, NV, September 20, 2015 Strategies  for  Boosting  Productivity   and  ROI  
  • 2. Agenda • Environment  for  pharmaceu1cal  R&D   • CSDD’s  current  drug  development  metrics   • New  models  of  bioinnova1on  
  • 3. The  Current  Landscape  for   Pharma  Innova6on  
  • 4. Current Realities for Pharmaceutical Developers • Patents  on  many  top-­‐selling  products  are  expiring   • Marketplace  is  highly  compe11ve  and   reimbursement  environment  is  increasingly   restric1ve   • Public  support  for  the  industry  is  low   • Regulatory  hurdles  are  increasing   • Pharmaceu1cal  R&D  remains  a  long,  risky,  and   expensive  process   Source: Tufts CSDD, 2015
  • 5. Patent Expirations of 10 Top-Selling Drugs Each Year 2010 2011 2012 2013 Product 2009  Sales   ($MM) Product 2009  Sales   ($MM) Product 2009  Sales   ($MM) Product 2009  Sales   ($MM) Aricept   3,991   Lipitor   12,535   Plavix   9,801   Cymbalta   4,660   Cozaar   3,561   Advair   7,794   Enbrel   6,575   AcipHex   2,728    Effexor  XR   3,182   Zyprexa   4,916   Diovan   6,013   Humalog   1,959   Taxotere   3,034   Levaquin   2,648   Seroquel   5,126   Zometa   1,469   Protonix   2,052   Xalatan   1,737   Singulair   4,660   Niaspan*   853   Flomax   1,970   Concerta*   1,326   Lexapro   3,263   Lovaza   705   Arimidex   1,921   Femara   1,292   Avapro   3,088   Xopenex^   357   Gemzar   1,363   Xeloda     1,160   Actos   2,532   Zomig^   166   NovoSeven   1,320   Avelox   1,020   Viagra   1,892   Advicor^   80   Coreg^   253   Caduet   548   Avandia   724   Fuzeon^   26   Total   $22,647     Total   $34,976     Total   $43,674     Total   $13,003     Sources: Kaitin, Clin Pharmcol Ther, 2010;87:356-361; Medco; FDA Orange Book; (sales data): MedAdNews; www.drugs.com/top200; Medco *Year of first available generic; ^US Sales only
  • 6. ‘Industry Leaders’ in Lost Revenues Due to Patent Expirations $3.3 $4.0 $4.6 $4.7 $7.2 $8.8 $9.5 $11.3 $12.9 $29.2 Forest J&J Sanofi Merck AstraZeneca Novartis GSK BMS Lilly Pfizer Billions of US$ Sources: Kaitin, Clin Pharmcol Ther, 2010;87:356-361; Medco; FDA Orange Book; (sales data): MedAdNews; www.drugs.com/top200; Medco
  • 7. Blockbuster Patent Expirations, 2014-16 Year Brand Generic Company Indication Sales ($BB)* 2014 Nexium Esomeprazole Astra Zeneca GERD 4.5 Cymbalta Duloxitine Eli Lilly Depression, anxiety, nerve pain 4.2 Symbicort Budesonide/Formoterol Astra Zeneca Asthma, COPD 3.1 Celebrex Celecoxib Pfizer Arthritis, acute pain 2.5 Evista Raloxifine Eli Lilly Osteoporosis 1.4 Sandostatin Octreotide Novartis Acromegaly syndrome 1.4 Actonel Risedronate Warner Chilcott Osteoporosis 1.1 2015 Abilify Aripiprazole Otsuka Schizophrenia, bipolar disorder 5.2 Gleevec Imatinib mesylate Novartis Chronic myeloid leukemia (CML) 4.7 Copaxone Glatiramer Teva Multiple sclerosis 3.6 Namenda Memantine Forest Alzheimer's disease 1.4 Zyvox Linezolid Pfizer Antiviral 1.3 Prezista Darunavir Janssen HIV 1.3 Provigil Modofinil Teva Excessive sleepiness 1.2 Avodart Dutasteride GlaxoSmithkline Benign prostatic hyperplasia (BPH) 1.2 Combivent Albuterol/Ipratropium Boehringer Ingelheim COPD 1.1 2016 Crestor Rosuvastatin calcium Astra Zeneca Hypercholesterolemia 7.1 Benicar Olmesartan medoxomil Daiichi Sankyo Hypertension 2.6 Source: EvaluateGroup.com, 2014 * 2011 Global Sales
  • 8. Top 20 Companies Spent $ 93.3B in Pharma R&D in 2013 $1.6 $1.8 $1.8 $2.1 $2.2 $2.2 $2.3 $2.9 $3.2 $3.7 $3.9 $4.8 $5.5 $6.5 $6.6 $6.7 $7.5 $8.2 $9.9 $9.9 Merck KGaA Astellas Daiichi Sankyo Gilead Novo Nordisk Celgene Bayer AbbVie Takeda BMS Amgen AstraZeneca Eli Lilly GSK Sanofi Pfizer Merck J&J Novartis Roche Billions of US$ Source: GEN: Genetic Engineering & Biotechnology News, Mar 17, 2014
  • 9. Source: Tufts CSDD, 2015; R&D expenditures from PhRMA New Drug and Biologic Approvals Are Not Keeping Pace with Rising R&D Costs 0 14 28 42 56 0 14 28 42 56 1963 1966 1969 1972 1975 1978 1981 1984 1987 1990 1993 1996 1999 2002 2005 2008 2011 2014 R&DExpenditures (Billionsof2013$) NME/NBEApprovals * Trend line is 3-year moving average; R&D expenditure adjusted for inflation R&D Expenditures New Approvals
  • 10. The Changing Pharma Business Model Source: Tufts CSDD, 2015 High Volume Low Margins Low Volume High Margins Precision Medicines Orphan Drugs Specialty Pharma
  • 11. Source: CDER New Drug Review: 2014 Update, JK Jenkins, FDA/CMS Summit, 12-11-14
  • 12. The High Cost of Treating Certain Orphan Diseases Source: J Cohen and CP Milne, “Is the Increasing Cost of Treating Rare Diseases Sustainable?” Expert Opinion on Orphan Drugs 2013;1(8):581-3
  • 13.
  • 14. Bringing  a  New  Drug  to  Market:   Current  TuNs  CSDD  Drug   Development  Metrics  
  • 15. Source: Tufts CSDD, 2015 0 10 AIDS Antiviral Anti-infective* Immunologic Cardiovascular Antineoplastic Gastrointestinal Endocrine Respiratory CNS 5.9 6.0 7.4 7.4 7.5 7.7 7.8 8.3 8.7 0.9 0.8 1.2 1.6 0.6 0.9 1.0 1.6 1.0 Years Clinical Phase Approval Phase Clinical and Approval Times Vary Across Therapeutic Classes, 2010-14 * Anti-infective excludes AIDS antivirals
  • 16. Overall Clinical Approval Success Rates for New Drugs has Dropped to 11.8% 0 27 CNS Cardiovascular GI/Metabolism Oncology/Immunology Musculoskeletal Sys. Antiinfective 4.7% 8.7% 9.4% 13.4% 20.4% 23.9% Clinical Approval Success Rate Source: Tufts CSDD, 2015
  • 17.
  • 18. 72% 35% 80% 71% 49% 55% 68% 35% 50% 63% 32% 64% 60% 33% 46% 58% 52% 79% 0 100 Phase 1-2 Phase 2-3 Phase 3-Subm TransitionProbability Musculoskeletal Onc/Immunologic GI/Metabolic Cardiovascular CNS Syst Antiinfective Phase Transition Probabilities by Therapeutic Class Source: DiMasi et al, Clin Pharmacol Ther, 2010;87:272-277
  • 19. 54% 53% 48% 41% 40% 36% 35% 44% 17% 23% 23% 32% 20% 13% 33% 23% 26% 23% 28% 27% 36% 47% 29% 32% 0% 20% 40% 60% Efficacy Safety Commercial Share of Failures Source: Tufts CSDD Impact Report, Vol 15 (5), Sep/Oct 2013 Reason for Failure Varies by Therapeutic Class
  • 20. Long Development Times + Low Success Rates = High R&D Costs Source: Tufts CSDD, 2015 430 965 1,395 1,098 1,460 2,558 Pre-human Clinical Total Millionsof2013$ Out-of-Pocket Capitalized
  • 21. Capitalized R&D Costs Have Increased 145% Since Early 2000s Source: Tufts CSDD, 2015 (based on CSDD cost study series publications, 1979-2015) 109 70 179 278 135 413436 608 1,0441,098 1,460 2,558 Pre-human Clinical Total Millionsof2013$ 1970s 1980s 1990s-early 2000s 2000s-early 2010s
  • 23. Drivers of High Development Costs • Poor  preclinical  screens  and  predic1ve  models   • Chronic  and  complex  indica1ons   • Clinical  trial  size   • Pa1ent  recruitment/reten1on   • Increased  protocol  complexity   • Regulatory  demands   • Commercial  demands   Source: Tufts CSDD, 2015
  • 24. Typical Phase III Protocol 2002 2012 Scientific Total Number of Endpoints 7 13 Total Number of Procedures 106 167 Total Number of Eligibility Criteria 31 50 Average Number of Major Amendments 2.3 3.6 Proportion of ‘Non-Core’ Procedures 18% 31% Operating Total Number of Countries 11 34 Total Number of Investigative Sites 124 196 Total Number of Patients Randomized 729 597 Total Number of Data Points Collected 494,236 929,203 Increase over Plan Timeline to Reach LPLV 28% 73% Protocol Complexity is Increasing Source: Tufts CSDD, 2015; *Medidata Solutions
  • 25. Source: Tufts CSDD, 2015 Portfolio Decision-Making Grid Oncology CNS Cardiovascular Infectious Disease Medical Need Competitive Landscape Technical Challenge Exploitable Science
  • 26. Compounds in Development by Therapeutic Area: Oncology Leads Source: EvaluatePharma® (3 May 2012) Oncology 31% Systemic Intiinfectives 15% Central Nervous System 14% Cardiovascular 7% Musculoskeletal 5% Endocrine 5% Gastrointestinal 4% Respiratory 4% Dermatology 3% Sensory Organs 3% Genito-Urinary 3% Blood 3% Other 4%
  • 27. Trends in New Drug and Biologics Approvals Within Four Largest Therapeutic Class Source: Tufts CSDD, 2015 0% 10% 20% 30% 40% 50% 60% 70% 2010-13 2000-09 1990-99 1980-89 Share of US New Drug Approvals Anti-infective* Antineoplastic Cardiovascular CNS * Anti-infective excludes AIDS antivirals
  • 28. Source: Tufts CSDD, 2015 How to Stimulate Innovation in Areas with High Medical Need but Low Investment Appeal and/or High Technical Risk • Legisla1ve  and  regulatory  push/pull  ini1a1ves,  such   as  BTD,  priority  vouchers  and  market  exclusivity   • Establish  public  support  by  making  disease  area  a   na1onal  priority:  e.g.,  “War  on  Cancer”,  AIDS,  Ebola,   White  House  BRAIN  Ini1a1ve   • Invest  in  basic  research   • Foster  strategic  partnerships  and  integrated   alliances  
  • 29. The  Bioinnova6on  Landscape  is   Changing  
  • 30. Strategies Driving Development Performance 1990-1999 2000-2009 2010-present Operating Changes •  Project Management •  Procurement/ Cost-containment •  Globalization •  Downsizing/ Consolidation •  Downsizing and Consolidation •  Flexible and virtual workplaces Alliances •  M&As •  Public-private partnerships •  Transactional Outsourcing •  M&As •  In-Licensing and Joint Ventures •  Functional service outsourcing •  M&As •  In-Licensing, JVs •  Public-private partnerships •  Precompetitive alliances •  Integrated outsourcing Technologies •  Rapid screening •  Combinatorial chemistry •  EDC and IVRS •  -Omics •  eClinical Trial Solutions (e.g., CTMS) •  Platform technologies •  Companion diagnostics •  Integrated Big Data •  Social media •  Mobile health Source: Tufts CSDD, 2015
  • 31. Transforming R&D Strategy: Innovation Partnerships u  Academic-Industry: (‘upstream/TR focus’) e.g., PFEs-CTIs; J&J Innovation Centers, LLY-Lilly Innovation Fellowship Awards; ADDCs u  Multi-Stakeholder Consortia and PPPs: e.g., ADNI (26 partners); Enlight Biosciences (8 cos); TransCelerate BioPharma (18); IMI; MS Outcome Assessments Consortium; Coalition Against Major Diseases (CAMD) u  Outsourcing providers: (virtual) LLY-Chorus; (functional) LLY-Covance/ Advion; BMS-Accenture; AZN-(API) u  Patient groups: e.g., VRTX-CFF; Breast Cancer Alliance; Lupus Foundation; Michael J. Fox Foundation u  Payer-Industry u  VC partnerships u  Open innovation and Crowdsourcing: e.g., LLY-Open Innovation Drug Discovery; Transparency Life Sciences Source: Tufts CSDD, 2015
  • 32. Source: Giniatullina et al, Nature Biotechnology 2013;31:284-7 Partnering Interest Among Pharma Firms
  • 33. A FIPNet Model for Drug Development: The Emergence of Innovation Nodes Phase IV StudiesApproval Late Stage Development Early Stage Development Discovery Preclinical Research Pre-Discovery Large Pharma Academia Biotechs/ Small Pharma CROs/Patient Groups/ Other Partners Basic Research Translational Medicine Execution, Monitoring, Analysis Innovation, Partnerships Coordination, Management Execution, Monitoring, Analysis Large Scale Clinical Trials Data Analysis Medical Writing Regulatory Approval Source: Kaitin, Clin Pharmacol Ther, 2010;87:356-361
  • 34. Source: Tufts CSDD, 2015 Lupus Innovation Nodes: 21st Century Bioinnovation Type 2 Diabetes Alzheimer’s Disease Accelerating Medicines Partnerships    Government   •  NIH   •  FDA        Founda6ons   •  American  Diabetes  Assoc   •  Alzheimers  Assoc   •  Founda1on  of  NIH   •  Geoffrey  Bean  Founda1on   •  Lupus  Founda1on  of   America   •  Rheumatology  Research   Founda1on   •  USAgainstAlzheimers                      Companies   •  Abbvie   •  BiogenIdec   •  BMS   •  GSK   •  J&J   •  Eli  Lilly   •  Merck   •  Pfizer   •  Sanofi   •  Takeda   Rheumatoid Arthritis
  • 35.
  • 36. Risk-Sharing Collaboration Inefficiencies Source: Tufts CSDD, 2015 74.9 17.0 91.5 66.0 15.8 82.0 70.2 16.4 86.5 Clinical Phase* Approval Phase** Total Phase*** Months Interrupted Uninterrupted All * p=0.0131; ** p=0.4147; ***p=0.0116
  • 37. Characteristics of Top-Performing Strategic Partnerships Source: Tufts CSDD, 2015 • High  level  of  partner  specializa1on   • Shared  governance  and  opera1ng  risk   • Integrated  systems,  SOPs,  processes   • Sophis1cated  planning  and  coordina1on   • More  efficient  interac1ons   • Faster  engagement   • Innova1ve  ideas  
  • 38. Bottom Line: Integrated  strategic  partnerships  allow   stakeholders  to  spread  risk  and  leverage   knowledge  and  resources,  offering  the   best  hope  of  finding  new  treatments  for   many  unmet  medical  needs.   Source: Tufts CSDD, 2015
  • 39. Tufts Center for the Study of Drug Development Tufts University, Boston, Massachusetts, USA Email Kenneth.Kaitin@tufts.edu Website http://csdd.tufts.edu Kenneth I Kaitin, PhD Professor and Director Tufts University School of Medicine
  • 40. For more information about theFor more information about the  marcus evans Pharma  S it iSummits series:  pharmaseries@marcusevanscy.com