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TRENDS AND CHALLENGES IN TRANSLATIONAL RESEARCH ED MILLER SYMPOSIUM JOHNS HOPKINS JUNE 2012 Elias A. Zerhouni, M.D.
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Page 1: TRENDS AND CHALLENGES IN TRANSLATIONAL …web.jhu.edu/administration/provost/Archived Pages...T1 translational research Many targets, many cellular and animal models but low predictivity

TRENDS AND CHALLENGES IN

TRANSLATIONAL RESEARCH

ED MILLER SYMPOSIUM JOHNS HOPKINS

JUNE 2012 Elias A. Zerhouni, M.D.

Page 2: TRENDS AND CHALLENGES IN TRANSLATIONAL …web.jhu.edu/administration/provost/Archived Pages...T1 translational research Many targets, many cellular and animal models but low predictivity

THREE CORE MESSAGES

TRANSLATIONAL RESEARCH IS IN TROUBLE

WE NEED TO RE-INVENT TRANSLATIONAL RESEARCH

ACADEMIC HEALTH CENTERS WILL BE

KEY TO ITS RECOVERY

Page 3: TRENDS AND CHALLENGES IN TRANSLATIONAL …web.jhu.edu/administration/provost/Archived Pages...T1 translational research Many targets, many cellular and animal models but low predictivity

Thanks to progress made in the biomedical sciences , the number of potential

biological disease modifying targets has dramatically increased

but TRANSLATABILITY of those advances into tangible health benefits seems to have

decreased

Academia, Government and Industry need to implement more innovative solutions

The Fundamental problem

| 3

Page 4: TRENDS AND CHALLENGES IN TRANSLATIONAL …web.jhu.edu/administration/provost/Archived Pages...T1 translational research Many targets, many cellular and animal models but low predictivity

A spectacular drop in worldwide R&D productivity

Mean clinical development time (years)

12

8

4

0

+15%

Clinical

Approval

05-10

7.9

00-04

7.7

95-99

6.7

90-94

5.6

82-89

4.5 84

Number of NCEs and NBEs approved

400

300

200

100

0

-26%

NCE

NBE

05-10

133

109

24

00-04

162

120

42

95-99

241

187

54

90-94

210

126

| 4

R&D expenditure per drug ($M)

2000

1.500

1.000

500

0

+11%

101

1778

07

1318

03

1250

01

880

96

608

94

400

90

359

87

230

82

125

76

54

NME: New molecular entity NCE: New chemical entity NBE: New biological entity 1 2010 data is from Paul et al Nature Feb-10, rest of data from Tufts Source: FDA; EvaluatePharma; Tufts CSDD 2007; Parexel; CMR; Paul et al, 2010,

Page 5: TRENDS AND CHALLENGES IN TRANSLATIONAL …web.jhu.edu/administration/provost/Archived Pages...T1 translational research Many targets, many cellular and animal models but low predictivity

Evolving Unmet Needs in Public Health

Shift from Acute to Chronic Conditions

Global Health Disparities

Emerging and Re-emerging Infectious Diseases

Aging Population

Emerging Non-communicable Diseases – Depression, Allergy, Obesity

Page 6: TRENDS AND CHALLENGES IN TRANSLATIONAL …web.jhu.edu/administration/provost/Archived Pages...T1 translational research Many targets, many cellular and animal models but low predictivity

Personalized Pr

edic

tive

Participatory

Preemptive

The Future Paradigm: The 4 P’s Transform Medicine from Curative to Preemptive

PRECISION MEDICINE !

Page 7: TRENDS AND CHALLENGES IN TRANSLATIONAL …web.jhu.edu/administration/provost/Archived Pages...T1 translational research Many targets, many cellular and animal models but low predictivity

Today, a fundamental

scientific barrier is our limited ability to study complex

and dynamic biological systems

in health or disease!

Page 8: TRENDS AND CHALLENGES IN TRANSLATIONAL …web.jhu.edu/administration/provost/Archived Pages...T1 translational research Many targets, many cellular and animal models but low predictivity

NEED TO BETTER UNDERSTAND BIOLOGICAL COMPLEXITY

Page 9: TRENDS AND CHALLENGES IN TRANSLATIONAL …web.jhu.edu/administration/provost/Archived Pages...T1 translational research Many targets, many cellular and animal models but low predictivity

From the “Hardware” of Life to the “Software” of Life

Understanding Molecular Pathways and Their

Regulation in Health and Disease

Will lead to a functional and more precise re-classification of most diseases based on their

specific Molecular Pathways

Help better Understand environmental drivers

Page 10: TRENDS AND CHALLENGES IN TRANSLATIONAL …web.jhu.edu/administration/provost/Archived Pages...T1 translational research Many targets, many cellular and animal models but low predictivity

WHAT NEEDS RE-INVENTION?

Scientific Factors

Professional Factors – Clinician-Scientists – Professional career pathways – The changing roles of academic medical centers

Socio-economic factors

Page 11: TRENDS AND CHALLENGES IN TRANSLATIONAL …web.jhu.edu/administration/provost/Archived Pages...T1 translational research Many targets, many cellular and animal models but low predictivity

Bridging the translational divide Standard Model

Laboratory Research

Translational Research

Population Research

Clinical Research

Public Health

T1 T2 T3 T4

Page 12: TRENDS AND CHALLENGES IN TRANSLATIONAL …web.jhu.edu/administration/provost/Archived Pages...T1 translational research Many targets, many cellular and animal models but low predictivity

Bridging the translational divide The Way it Should Work

Laboratory Research

Patient-oriented Clinical Research

Population-based Clinical Research

Clinical Trials

TRANSLATIONAL MEDICINE A NEW DISCIPLINE

Page 13: TRENDS AND CHALLENGES IN TRANSLATIONAL …web.jhu.edu/administration/provost/Archived Pages...T1 translational research Many targets, many cellular and animal models but low predictivity

Scientific Factors T1 translational research

Many targets, many cellular and animal models but low predictivity in human disease

Heavy reliance on insufficient surrogate biology away from human biology

NEEDS: – More systematic validation of published findings – Development of specific biomarkers related to

hypothesized mode of action in humans – Access to Human disease samples as early as

possible to validate hypothesis – Introduce more potent emerging sampling and

analytical methods for human materials- LCMass Spec, Array readouts, proteomics, single cell analyses

Page 14: TRENDS AND CHALLENGES IN TRANSLATIONAL …web.jhu.edu/administration/provost/Archived Pages...T1 translational research Many targets, many cellular and animal models but low predictivity

Scientific Factors T2 Translational Research

Core issues: Predictive Efficacy and Safety – A clear readout of efficacy via surrogate markers – Development of novel methods of predictive safety – Phase 0 and investigational exploratory trials to

confirm mode of action, validate biomarkers –

Need for centers with access to human pathologies and leading edge analytical methodologies

Page 15: TRENDS AND CHALLENGES IN TRANSLATIONAL …web.jhu.edu/administration/provost/Archived Pages...T1 translational research Many targets, many cellular and animal models but low predictivity

Scientific factors T3 Translation

Problem: from translation to effective diffusion of translation – Many advances are not applied to the degree

necessary to achieve expected results – Typical of chronic diseases ( hypertension,

diabetes) – Discovering new therapeutic models: Chronic

disease management, novel drug delivery approaches

Page 16: TRENDS AND CHALLENGES IN TRANSLATIONAL …web.jhu.edu/administration/provost/Archived Pages...T1 translational research Many targets, many cellular and animal models but low predictivity

Scientific Factors T4 Translation

Limited understanding of population epidemiology especially chronic diseases – Natural prevalence and incidence are estimates – No rigorous system to track epidemiologic trends – Need to use e-Health technologies – Establish surveillance cohorts – Behavioral and social sciences research

Page 17: TRENDS AND CHALLENGES IN TRANSLATIONAL …web.jhu.edu/administration/provost/Archived Pages...T1 translational research Many targets, many cellular and animal models but low predictivity

Professional Factors

Clinician-Scientists – Lack of critical « bridge » scientists who

understand basic research and experimental medicine

– Specific translational medicine training centers

Professional career pathways – Need to define a discipline of translational

medicine with a multidisciplinary viewpoint

Page 18: TRENDS AND CHALLENGES IN TRANSLATIONAL …web.jhu.edu/administration/provost/Archived Pages...T1 translational research Many targets, many cellular and animal models but low predictivity

The changing roles of academic medical centers

« THE TYRANNY OF RVUs » – Economic model leads to overwhelming clinical

service demands – Focus away from experimental medicine (T1 &

T2) to later stages clinical research (T3&T4) – Inadequate for research on chronic diseases – Need to re-balance clinical service and science

based translational investigations – Interdisciplinary barriers

NEED TO CREATE FLUID MULTIDISCPLINARY

ENVIRONMENTS

Page 19: TRENDS AND CHALLENGES IN TRANSLATIONAL …web.jhu.edu/administration/provost/Archived Pages...T1 translational research Many targets, many cellular and animal models but low predictivity

Elias A. Zerhouni, M.D. June 5, 2008

BIOMEDICAL RESEARCH NOW REQUIRES STRONG MULTIDISCIPLINARY EFFORTS

MOLECULAR PATHOLOGY

PHYSICAL SCIENCES

MOLECULAR BIOLOGY

COMPUTER SCIENCE CLINICAL INVESTIGATIONS

BIOENGINEERING

MEDICAL RESEARCH

Page 20: TRENDS AND CHALLENGES IN TRANSLATIONAL …web.jhu.edu/administration/provost/Archived Pages...T1 translational research Many targets, many cellular and animal models but low predictivity

A New Paradigm is Needed: A Systems Based Approach

Integrated approaches to research and discovery

Interdisciplinary training Translational research as

a recognized discipline Evolution from

departments to interdisciplinary research centers

Widely shared resources

Page 21: TRENDS AND CHALLENGES IN TRANSLATIONAL …web.jhu.edu/administration/provost/Archived Pages...T1 translational research Many targets, many cellular and animal models but low predictivity

TO SUCCEED IN THE LONG TERM

AN ACADEMIC HEALTH CENTER HAS TO BE MORE THAN A HOSPITAL

AND A MEDICAL SCHOOL ….

BUT ALSO A CENTER OF MULTIDISCPLINARY EXCELLENCE

IN THE RELATED PHYSICAL AND BIOLOGICAL SCIENCES WITHOUT

ARTIFICIAL BARRIERS


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