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Lessons in university intellectual property management: The secret to survivin’ or a train bound for nowhere? Tania Bubela Professor With apologies to Kenny Rogers

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Page 1: Lessons in university intellectual property management ... · •Business model (scale-up or scale-out) and manufacturing to meet regulatory burden will determine minimum cost/dose

Lessons in university intellectual property management: The secret to survivin’ or a

train bound for nowhere? Tania Bubela

Professor

With apologies to Kenny Rogers

Page 2: Lessons in university intellectual property management ... · •Business model (scale-up or scale-out) and manufacturing to meet regulatory burden will determine minimum cost/dose

Disclaimer

Page 3: Lessons in university intellectual property management ... · •Business model (scale-up or scale-out) and manufacturing to meet regulatory burden will determine minimum cost/dose

The secret to survivin’: Seven things that matter. • Goals

• Metrics

• Size

• Timelines

• Strengths

• Relationships

• Value

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Goals Matter Reassess roles of university technology transfer offices. One size does not fit all.

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Incentives & Metrics Matter

You get what you measure. Measure the wrong thing and you get the wrong behaviors.“

John H. Lingle

Page 6: Lessons in university intellectual property management ... · •Business model (scale-up or scale-out) and manufacturing to meet regulatory burden will determine minimum cost/dose

Publications Associated with Top 100 Patented vs Unpatented Mouse Genes

An example of poor intellectual property management driven by metrics

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extant

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E3

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Expired

STATUS AND FILING DATE OF 816 MOUSE GENE PATENTS (US)

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http://www.viewsoftheworld.net/wp-content/uploads/2014/11/THErankings2014-15.jpg

SIZE MATTERS: The World University Rankings 2014-2015 By Population By GDP

1-25 25-50 51-75 76-100 101-150 151-200

Canada

Canada

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Strengths Matter Infrastructure, research & human capacity

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Timelines Matter

Realistic assessment of contribution, transaction costs, & patent life

Adapted from Carl June:

2012 Chabner Colloquium – Collaboration in Cancer Drug Trials

https://www.youtube.com/watch?v=jQfFCC6i5_o

Translational Research

from

Basic through Clinical

1989

• Redirected T cell concept in vitro • Gross et al., PNAS

1998

• First HIV CAR patients treated (CD4 Zeta)

• Persistence of CAR T cells up to 11 years post infusion (STM, 2012)

2008

• First Cancer Clinical Trials –poor T cell engraftment

• Kershaw et al Clin Cancer Res; Lamers et al., J Clin Oncol

2004-2010

• T Cell Translational Research and First Clinical Trials: CD19 target in B cell malignancies

2014

1987 • Discovery role of CD28 in T

cell proliferation

1993 • CD3/CD28 beads produced

(culture system)

1998 • Bead removal - passage

over magnetic field

2010 • In-hospital production for

T-cell infusion

2014- • Scale-Out: Development of

robotic systems (QC)

Development of

Clinical Scale T Cell

Manufacturing Process

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Relationships Matter

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• New funding calls for collaborative, multi-national, multi-disciplinary, and increasingly multi-sectorial research

• Access to precompetitive research outputs raises the level of knowledge for all R&D actors.

• Precompetitive research does not limit appropriation of innovation that is closer to practical application.

• Avoids duplicative research.

• Reduces negotiating costs associated with an abundance of intellectual property rights.

• Promotes use of standard research tools and methods

Relationships Matter Supporting precompetitive research

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Value Matters

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Look for opportunities. Be flexible. You've got to know when to hold 'em Know when to fold 'em

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Novartis-Penn Center for Advanced Cellular Therapeutics

Build on respective strengths: Example 1 – Cellular Onco-Immunotherapy

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Clinical translation is global

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Sponsors of 1554 cellular immunotherapy clinical trials

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mb

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linic

al T

rial

s

Start Year

industry

NIH

NIH & industry & other public sector funder

NIH & other public sector funder

other public sector funder

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Plug knowledge/technology gaps

Gap • Lack of cancer cell specific antigens

causes off-target toxicity

• Need fully humanized CAR T-cell constructs

• Need more efficient genetic engineering methods

• Need robotic cell processing systems

• Need to control duration of immune response to limit adverse side-effects

Plug • Target discovery is an academic

strength • Vector development is an academic

strength • CRISPR/Cas systems developed in

academia and spun out to biotechnology companies

• Academic/industry co-development in bio-engineering

• Academic/industry co-development of suicide switch

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Play a more effective role in assessing value. Know when to walk away And know when to run

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More Medicine Goes Off Limits in Drug-Price Showdown

By Robert Langreth - Nov 25, 2014

Steve Miller is waging war on high-priced medicine, guiding decisions to ban drugs from the health plans of millions of Americans and sending companies reeling in a $270 billion market. He and his colleagues at Express Scripts Holding Co. (ESRX) say they are just getting started.

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INVESTMENT

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Animal

and/or

Laboratory

Studies

I About 4.5 Years I About 8.5 Years II 1.5 Years

Health

Technology

Assessment

Clinical

Adoption

Phase IV

Post-market

Phase 1 to

Phase 2

Phase 2 to

Phase 3

Phase 3 to

NDA/BLA

NDA/BLA to

Approval

LOA from

Phase 1

Lead Indication All Indications

67% 64%

39%

32%

68%

60%

86%

10.4%

83%

15.3%

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Translational Stage Pre- clinical Phase I Phase II

Step 1: Headroom

Analysis

He

alth Im

pact

Re

sou

rce Imp

act

Social V

alue

Imp

act

Technology & clinical

landscapes

Confidence Adjustments

A framework for value evaluation

Page 24: Lessons in university intellectual property management ... · •Business model (scale-up or scale-out) and manufacturing to meet regulatory burden will determine minimum cost/dose

Translational Stage Pre- clinical Phase I Phase II

Step 1: Headroom

Analysis

He

alth Im

pact

Re

sou

rce Imp

act

Social V

alue

Imp

act

Technology & clinical

landscapes

Confidence Adjustments

A framework for value evaluation

De-risk

Technology

for Phase III

Investment

STEP 2: Macro Analyses –

Cost-Effectiveness Modeling

• Assumes cost of

goods and

effectiveness

based on similar

bio-therapeutics

Clears

Value

Hurdle

YES NO

STEP 3: Micro Analyses –

Cost-Effectiveness Modeling

• Cost of Goods • Regulatory

compliance • Manufacturing Scale-

up • Structural barriers to implementation

• Effectiveness

• Safety profile

• IP and patent

life

YES NO

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Value based reimbursement

-60000

-40000

-20000

0

20000

40000

60000

-3 -2 -1 0 1 2 3

Cost Effectiveness Plane

Incremental Value (QALYs)

Incremental Cost ($s)

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Evidence Matrix: Type 1 Diabetes

Intensive Insulin Therapy

Insulin Pumps

Bone Marrow Transplant

Artificial Pancreas

Beta Cell 2

Beta Cell Transplant X X X X X

Insulin

Insulin Pumps

Bone Marrow Transplant

Artificial Pancreas

Beta Cell 2

• Safety • Effectiveness • Cost of Goods

Islet Transplant?

Current

Future

Unstable Type 1 Diabetes

Islet beta cell transplantation – donor harvested

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“We” built a model and unpacked the Cost of Goods

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Unpacking the problem: cost of beta cells

• Value of information modeling established max cost/dose for therapy in Canada @ $50,000/QALY and 5% discount rate.

• Was $17,344 without immunosuppression but -$36,039 with immunosuppression.

• Business model (scale-up or scale-out) and manufacturing to meet regulatory burden will determine minimum cost/dose.

• Need to factor in profit-margin. • But immunosuppression will be major cost

driver. • Apply effort to immunosuppression-free

technology prior to phase 3 trials.

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More to life than money – Destroying relationships. You never count your money When you're sittin' at the table

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• Practising/non-practising entities.

• Post-hoc rent seeking behaviour.

• Drives behaviour of risk averse institutions.

• May discourage commercial users.

• But litigation rare.

Are universities patent trolls?

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2006 2007 2008 2009 2010 2011 2012 2013 2014 2015

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mb

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f Li

tiga

tio

ns

461 litigations 590 patents Patent Trolls

Decade of University Litigation

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70410 as plaintiffs 120 as defendants

Top 19 Institutions of 118

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• MTAs are substantial disincentive to accessing and providing materials for basic and translational research.

• Problematic in context of research and funding timeframes.

• Complexity not proportional to value

• Rarely enforced

• Use simplified agreements.

Material Transfer Agreements

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Make deals to enable partnerships There'll be time enough for countin' When the dealin's done

Schofield, Bubela, et al.

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• Operations started in June 2004

• Government agencies, Wellcome Trust, charities & leading pharma companies

• +300-strong team in six countries: Oxford, Toronto, Stockholm, Campinas (Brazil), Chapel Hill (US) & Frankfurt

• Open Access Policy:

– Promptly placing results, reagents and know-how in the public domain

– SGC scientists never file patents

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Nat Chem Biol. 2010 Mar;6(3):166-169; Nature. 2011 Feb 10;470(7333):163-5.

Addressing herd behaviour

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A general model for open access/ open source in early stage drug discovery

Public-Private-Patient Partnership

Public Domain Commercial

Tools & Basic Knowledge NOVEL Proteins only! • Structure • Chemistry • Antibodies • Screening • Cell Assays

Discovery and Exploration • No patent • No restriction on use • Open access to tools and data. • Target identification & validation

Drug Discovery and Development Facilitated by access to increased amount of information in the public domain - (re)Screening - Lead Optimisation - Pharmacology - Metabolism - Pharmacokinetics - Toxicology - Chemical development - Clinical development

PRE-COMPETITIVE – NON PROPRIETARY PROPRIETARY

Weigelt J. EMBO Reports 10:941-5 (2009)

Huntington’s Disease

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Concluding thoughts Every gambler knows That the secret to survivin' Is knowin' what to throw away And knowin' what to keep 'Cause every hand's a winner And every hand's a loser And the best that you can hope for….

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What does Canadian success look like?

What does Canadian innovation success look like?

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Conclusions

• New collaborative, translational research models gaining momentum, building on respective strengths of innovation stakeholders.

• Needs innovation and flexibility in technology transfer management of intellectual property.

• Specifically, attention on IP management best practices, appropriate metrics, and realistic attention to enforcement and evaluation of value.

• Especially important is enabling partnerships, build trust and enhance social capital.

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THANK YOU

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Funders Collaborators: Christopher McCabe Richard Gold Timothy Caulfield Robert Cook-Deegan Paul Schofield Jean-Sebastien Delisle Katherine Bonter

Research staff/students: Amrita Mishra, Mark Bieber, Jenilee Guebert, Rhiannon Adams, Andreas Strotmann, Zackariah Breckenridge, Monica Wang, John Minkley, Yael Mansour, Jaclyn Hutchinson

Page 43: Lessons in university intellectual property management ... · •Business model (scale-up or scale-out) and manufacturing to meet regulatory burden will determine minimum cost/dose

Publications 1. Bubela T. How to build a biomedical research commons: lessons from the humble laboratory mouse. In Stranbourg K, Madison M and

Frischmann B (eds) Governing Medical Research Commons. (Cambridge University Press, in press 2016)

2. Bubela T, Vishnubhakat S, Cook-Deegan R (2015) The Mouse that Trolled: The Long and Tortuous History of a Gene Mutation Patent that Became an Expensive Impediment to Alzheimer’s Research. Journal of Law and the Biosciences. April 23, 2015: 1-50. ePUB Ahead of Print: http://jlb.oxfordjournals.org/content/early/2015/04/23/jlb.lsv011.short?rss=1;

3. Bubela T, Cook-Deegan R (2015) Keeping score, strengthening policy and fighting bad actors over access to research tools. Nature Biotechnology 33(2): 143-147. [IF 39.1; PMID 25658278]

4. Bubela T, Guebert J, Mishra A (2015) Use and Misuse of Material Transfer Agreements: Lessons from Research, Repositories, and Litigation. PLoS Biology 13(2): e1002060. [IF 12.690; PMID 25646804]

5. Mishra A, Schofield PN, Bubela T (in press, 2015) Sustaining large-scale infrastructure to promote pre-competitive biomedical research: Lessons from mouse genomics. New Biotechnology.

6. Mishra A, Bubela T (2014) Legal Agreements and the Governance of Research Commons: Lessons from Materials Sharing in Mouse Genomics. Omics A Journal of Integrative Biology 18(4) 254-273. [IF 2.730]

7. Li MD, Atkins, HL, Bubela T (2014) The Global Landscape of Stem Cell Clinical Trials. Regenerative Medicine 9(1), 27-39. 8. Bubela T, McCabe C (2013) Value-Engineered Translation for Regenerative Medicine: Meeting the Needs of Health Systems. Stem Cells and

Development 22, 89-93. 9. Mathews DH, Cook-Deegan R, Bubela T (2013) Patents and Misplaced Angst: Lessons for Translational Stem Cell Research from Genomics.

Cell Stem Cell 12: 508-512. 10. Bubela T, Schofield PN, Ryan C, Adams R, Einhorn D (2012) Managing Intellectual Property to Promote Pre-Competitive Research: The

Mouse as a Model for Constructing a Robust Research Commons. Journal of Law, Information and Science 20(2): 98-121. 11. Bubela T et al. (2012) Recalibrating Intellectual Property Rights to Enhance Translational Research Collaborations. 4 Science Translational

Medicine 122cm3. 12. Bubela T, et al. (2010) Commercialization and Collaboration: Competing Policies in Publicly-Funded Stem Cell Research? 7 Cell Stem Cell

21-30. 13. Bubela T, Caulfield T (2010) Role and Reality: Technology Transfer at Canadian Universities. 28 Trends in Biotechnology 447-451 14. Schofield PN, Bubela T, et al. (2009) Post-publication sharing of data and tools. 461 Nature 171-173 .