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Page 1: Stephen T Holgate, Faculty of Medicine, University of Southampton

Stephen T Holgate,Faculty of Medicine,

University of Southampton

[email protected]

Personalized medicine for the European Citizen

Page 2: Stephen T Holgate, Faculty of Medicine, University of Southampton

“Medicine became a science by combining clinical observation

with pathology and function and through the application of

chemical, biological and physical sciences”.

William Osler: the Father of modern medicine But we now face very serious problems:

• Reductionist models are failing to account for much of the chronic inflammatory and degenerative disease facing society.

• These non-communicable diseases are increasing as we survive longer and as developing nations adopt aspects of the Western lifestyle.

• After years of improvement in public health, lifestyle influences (sedentary, smoking, diet, “recreational” drugs, stress ), especially on the young are creating a health “time-bomb” in NC diseases (e.g. cancer, obesity, diabetes, hypertension, COPD, asthma).

• Unsustainable drug development industry based on “blockbuster, one size fits all” business model.

Page 3: Stephen T Holgate, Faculty of Medicine, University of Southampton

R&D for a New Medicine: 10+ years, $1 bn+

Source: Drug Discovery and Development: Understanding the R&D Process, www.innovation.org;

Indefinite

Drug DiscoveryPreclinical Clinical Trials

RegulatoryReview

Scale-Up to Manufacture

Post-MarketingSurveillance

1Approved

NewMedicine

0.5 – 2 Years6 – 7 Years3 – 6 Years

Number Of Patients / Subjects

PhaseI

PhaseII

PhaseIII

5250~ 5,000 – 10,000

Compounds

Pre-

Disc

over

y

20 – 100 100 – 500 1,000 – 5,000

IND

Subm

itted

NDA

Sub

mitt

ed

Drug discovery: a big challenge for addressing both developed and developing world diseases

Set against this is:

• The explosion of new technology to interrogate complex cellular processes – the ‘omics (genomomics, transcriptomics, proteomics, epigenomics, microbiomics, metabolomics) and the exposome.

• New non-hierarchical approaches to phenotyping complex disease (e.g. cluster analyses, machine learning).

• Applications of informatics to interrogate large data-sets from biological collections, clinical trials and linked population-based case records and prescribing practice.

Page 4: Stephen T Holgate, Faculty of Medicine, University of Southampton

The Changing Focus of Healthcare:

Information and knowledge Health practitioner Patient

Information and knowledge Patient Health practitioner

Massive cultural change to shift focus to pulling patients through whole pathways not just

managing stages of diagnosis and treatment

Page 5: Stephen T Holgate, Faculty of Medicine, University of Southampton

The emergence and rapid developmental evolution of ‘omics technology platforms

Next “Genomics”The ’omics cascadeWhat can happen

What appears to be happening

What makes itHappen

What has happened

& is happening

Page 6: Stephen T Holgate, Faculty of Medicine, University of Southampton

The plummeting cost of complete genome sequencing

Towards the $1000 genome

How do these developments impact upon healthcare and drug development?

Page 7: Stephen T Holgate, Faculty of Medicine, University of Southampton

Days in Active Treatment

Malmstrom et al. Ann Intern Med. 1999; 130: 487-95.

Comparison of inhaled corticosteroid, leukotriene receptor antagonist and placebo in asthmatic patients (15 Years) not controlled on as required inhaled b2-agonists

bronchodilators

-10

0

10

20

30

40

50

1 3 5 7 9 11 13 15 17 19 21

am-PEF(Mean

ChangeFrom

Baseline; L/min ± SE)

Beclomethasone

Montelukast

Placebo

P<0.001

Page 8: Stephen T Holgate, Faculty of Medicine, University of Southampton

Patients(%)

% Improvement in lung function

30

25

20

15

10

5

0<-30 -30 to

<-20-20 to<-10

-10 to<0

0 to<10

10 to<20

20 to<30

40 to<50

5030 to<40

Beclomethasone (n=246)

Montelukast (n=375)

Distribution of individual asthmatic patient responses to the 2 active treatments

BetterWorse

Page 9: Stephen T Holgate, Faculty of Medicine, University of Southampton

Stratified Medicine: What are we talking about?

“the tailoring of medical treatment to the individual characteristics of each patient …. involves the use of companion diagnostics to achieve the best outcomes in the management of a patient's disease or disease predisposition. Preventive or therapeutic interventions can then be concentrated on those who will benefit, sparing expense and side effects for those who will not”.

Adapted from: “Priorities for Personalized Medicine” by the US President’s Council of Advisors on Science and Technology (PCAST), 2008

• Personalised Medicine has arrived to an extent:– Herceptin®, Gleevec®, SelzentryTM, Ziagen®, Vectibix® , IressaTM

Page 10: Stephen T Holgate, Faculty of Medicine, University of Southampton

Stratified medicine for cancer therapyShaw EC & Johnson PWM. Drug Discovery Today 2012; 17: 261–26

A summary of the major disrupted cellular pathways in a series of pancreatic cancers, according to data on genetic abnormalities detected by sequencing, microarrays and transcriptomics: (a), with the specific gene alterations discovered in two of the cases mapped in detail (b), case Pa14C (c), case Pa10X).

Abbreviations: JNK: Jun N-terminal kinases; TGF-β: transforming growth factor-beta

(a) (b)

(c)

Similar evolution of lung cancer and chronic inflammatory disease (e.g. asthma – Th2, non-Th2 etc)

Page 11: Stephen T Holgate, Faculty of Medicine, University of Southampton

Signatures of mutational processes in human cancerAlexandrov LB et al. Nature 2013: 500; 415–421

Genetic map of cancer reveals trails of mutation that lead to disease

The first detailed map of genetic faults that cause cancers, offering profound insights into the disease.

The map describes more than 20 "genetic signatures", or patterns of mutation, that alone or in combination drive 30 different types of cancer, including brain, lung, pancreas and breast tumours.

Research that looked at more than 7,000 cancers to identify "signature" patterns in genetic mutations. These signature patterns suggest how the cancer-causing mutations arise. Almost five million mutations fell into 21 signature patterns. The causes of some of these signatures were identified.

Page 12: Stephen T Holgate, Faculty of Medicine, University of Southampton

Signatures of mutational processes in human cancerAlexandrov LB et al. Nature 2013: 500; 415-21

Page 13: Stephen T Holgate, Faculty of Medicine, University of Southampton

Multiple Companies Offer These Services

Page 14: Stephen T Holgate, Faculty of Medicine, University of Southampton

ESF 2013: Personalised Medicine for the European Citizen: Towards more precise medicine for the diagnosis, treatment

and prevention of disease

Medicine will move from a reactive to a proactive discipline over the next decade;

one that is predictive, personalised, preventive and participatory

Page 15: Stephen T Holgate, Faculty of Medicine, University of Southampton

ESF Forward Look launch Brussels 28 January 2013

Forward Look on Personalised Medicine

80 recommendations

resulting in a

PersonalisedMedicine“Target”

Page 17: Stephen T Holgate, Faculty of Medicine, University of Southampton

The promise of personalised medicine

• More effective medicines• Safer medicines• Cheaper medicines• Better healthcare• Cheaper healthcare• Less (rather than more) healthcare

disparity

Page 18: Stephen T Holgate, Faculty of Medicine, University of Southampton

G551D is the third most common mutation, affecting ~4% of patients. For patients homozygous for D508, Vertex has another drug, VX-809, which acts by increasing the transport of CFTR protein to the cell surface. A phase 2 clinical trial of combined VX-809 and VX-770 treatment in D508 patients is in progress.

Vx-770 potentiates CFTR function by promoting decoupling between the gating cycle and ATP hydrolysis cycle. Jih KY. et al. PNAS. 2013; 110: 4404-9

Vx-770; Ivacaftor

A CFTR potentiator in patients with cystic fibrosis and the G551D mutation (most prevalent gating mutation)

Ramsey BW, et al. N Engl J Med. 2011; 3658: 1663-72

Complex disease will be stratified into a series of pathway specific disorders creating opportunities for

both companion diagnostics and targeted prevention and treatments.

But also a new Taxonomy of disease will be created based upon knowledge of causative pathways and

neyworks rather than signs and symptoms.

Page 19: Stephen T Holgate, Faculty of Medicine, University of Southampton

Creation of a New Taxonomy first requires an “Information Commons” in which data on large populations of patients become broadly available for research

use and a “Knowledge Network” that adds value to these data by highlighting their inter-connectedness and integrating them with evolving knowledge of

fundamental biological processes

Toward Precision Medicine. US Nat Acad Sci 2011

Reclassification of human disease by identifiable causal pathways

Page 20: Stephen T Holgate, Faculty of Medicine, University of Southampton

The ‘holy trinity of biology’ where biology drives technology - drives

computational/mathematical tools. • This requires a cross-disciplinary environment

where scientists of many different disciplines learn to speak the languages of the other scientists and learn to work together in teams.

• When this is practiced effectively enormous amounts of biological information can be generated rapidly.

Personalised or P4 Medicine: Predictive Preventive

Personalised Participatory

Cross-Disciplinary culture

Team Science

Biological Information

Wellness Quantified Disease Demystified

Page 21: Stephen T Holgate, Faculty of Medicine, University of Southampton
Elaine Holmes
Page 22: Stephen T Holgate, Faculty of Medicine, University of Southampton

Liver cancer per 10,000

Chronic infection with hepatitis B and C causes 75-80% of liver cancers diagnosed world-wide.

Prevalence of hepatitis B and C

Prediction of outcome (survival) in acute on chronic liver failure patients

Candidate BiomarkersChange in non-survivors vs survivors

Page 23: Stephen T Holgate, Faculty of Medicine, University of Southampton

Annotated HR-MAS NMR spectral profiles from centre of tumour(Ct) (A) and healthy appearing mucosa 5 cm from tumour margin (Hm) (B)

Rapid diagnosis and staging of colorectal cancer via High-Resolution Magic Angle Spinning Nuclear Magnetic Resonance (HR-MAS NMR) Spectroscopy

of intact tissue biopsiesMirnezami R et al. Ann Surg. 2013 Jul 15. [Epub ahead of print]

Page 24: Stephen T Holgate, Faculty of Medicine, University of Southampton

Rapid diagnosis and staging of colorectal cancer via High-Resolution Magic Angle Spinning Nuclear Magnetic Resonance (HR-MAS NMR) Spectroscopy

of intact tissue biopsiesMirnezami R et al. Ann Surg. 2013; Jul 15. [Epub ahead of print]

Distinct HR-MAS NMR spectroscopy–based metabolic phenotypes according to T-stage.

Page 25: Stephen T Holgate, Faculty of Medicine, University of Southampton

Patient reported

Clinical

Functional

Cellular

Molecular

Integrating knowledge for Systems MedicineAuffray, Adcock, Chung, Djukanovic, Pison, Sterk. Chest 2010;137:1410-16

The “Grand Challenge” is how to combinethe different data types for interrogation

Page 26: Stephen T Holgate, Faculty of Medicine, University of Southampton

Metabolomics

DNA and RNA sequencing

Imaging

Functional imaging

Microbiome

Lifestyle database

Family history

Page 27: Stephen T Holgate, Faculty of Medicine, University of Southampton

Software to Implement Genetic Testing in the Clinic Setting

BRIGHAM AND WOMEN’S HOSPITAL

MASSACHUSETTSGENERAL HOSPITAL

HARVARDMEDICAL SCHOOL

Scott T. Weiss, M.D., M.S.Professor of MedicineHarvard Medical SchoolAssociate Director, Channing LaboratoryBrigham and Women’s HospitalDirector, Partners HealthCare Center for Personalized Genetic MedicineBoston, MA

Page 28: Stephen T Holgate, Faculty of Medicine, University of Southampton

Where science and unmet need converge

Cystic Fibrosis

OSA

ARDS

Infant RDS IPF

Idiopathic Fibrotic NSIP

Fibrotic ILD Assoc RA

Fibrotic ILD Assoc SLE

Fibrotic ILD Assoc Sys Scl

Sarcoidosis

Idiopathic BOOP

Chronic CoughPAH

AAT Deficiency

Bronchitis - acute

Bronchiectasis

BPD

HPS

HistoplasmosisInfluenza

Legionellosis

LAM

Silicosis

Berylliosis

HP - Farmer's LungPneumonia

PE

RSV

Bronchiolitis

SIDS

Chronic sinusitis

Nasal polyposis

AR

NAR - Pure AR - Pure + Mixed

Peanut Allergy

Atopic dermatitis

COPD

Asthma

0

1

2

3

4

5

100 1,000 10,000 100,000 1,000,000 10,000,000 100,000,000

US Population Prevalence/Incidence (Log Scale)

Unm

et N

eed

Inde

x

Progressive, Fibrotic ILD (inc. IPF, NSIP, ILD Assoc CTDs - RA / SLE / Sys Scl)

Emergent science drives new disease opportunities

Lung repairCOPD, fibrotic lung

diseases (IPF, ILD, CF)

Neuronal mechanisms

Rhinitis, asthma, COPD, cough

Immunomodulation Asthma, allergic rhinitis

Core diseases Opportunities in “new” diseases featured in the business plan Key emergent areas of

science

Not just medical treatments but also applies to adverse and beneficial environmental exposures –

the exposome

Page 29: Stephen T Holgate, Faculty of Medicine, University of Southampton

Implications of the exposome for exposure scienceRappaport S M. J Expos Sci Env Epid. 2011; 21: 5-9

By embracing the exposome as its operational paradigm, exposure science can play a major role in discovering and mitigating these exposures.

Bottom-up exposomics: chemicals measured in air, water and food would identify potentially important exogenous exposures and their sources, but would miss endogenous exposures.

Environmental exposures to chemicals arise from both external and internal sources. The exposome represents the combined exposures from all sources that reach the internal chemical environment

Top-down exposomics: chemicals measured in blood would identify all potentially important exposures, but would provide no information about their sources.

Page 30: Stephen T Holgate, Faculty of Medicine, University of Southampton

ESF Position Paper

May 2011

Technology

19-20 Sept 2011London, UK

Disease Summit

18-20 Oct 2011The Hague, NL

1) CV & metabolicdiseases

2) Oncology3) Rare Diseases

“Big picture” Summiton clustered issues

13-14 Feb 2012Dubrovnik, HR

Identify grand challenges and recommendation

Stakeholder conference

18 April 2012Rome, IT

Consensus discussion on Grand Challenges and overall

recommendations

ESF Forward Look - DG Research - Brussels, 11 September 2012

Forward Look on Personalised Medicine

•Final Report•Recommendations•Implementation