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Biomarker innovation gaps:
setting the scene
BiC Advisory Board meeting
Copenhagen, 28 Nov 2018
Prof Alain van Gool
Professor Personalized Healthcare
Head Translational Metabolic Laboratory
Strategic advisor of the executive board
Coordinator Radboudumc Technology Centers
My path in translational health research
Dutch CC meeting ‘Personalized Health Care”
Ede, 2 October 2013
Alain van Gool
Lecture LKCH, UMC Utrecht
29 October 2013
Alain van Gool
Knowledge
validation &
application
Knowledge
translation
Knowledge
exploitation
Fundamental
knowledge
Universities IndustryUniversity medical
centers
Applied Research
Institutes
1991
2018
• Basis in molecular biology
• Academia, pharma, medical center, applied research institutes
• Biomarkers / Omics / technologies
• Mechanisms of disease
• Translational medicine
• Personalized healthcare
2
My current roles
Scientific lead DTL-Technologies (NL)
Chair EATRIS Biomarker Platform (EU)
Professor of Personalized Healthcare
Head Translational Metabolic Laboratory
Strategic Advisor Executive Board
Coordinator Radboudumc Technology Centers
PI Biomarker Development Center (NL)
Coordinator Netherlands X-omics Initiative (NL)
Co-initiator of Health-RI (NL)
3
4 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
Exponential developments – lab technology
500
1000
1500
2000
m/z
5 10 15 20 25 30 35 40 Time [min]
5
6
Exponential developments
- digital biomarkers
6
Exponential developments - data
7 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
Role of molecular biomarkers in Personalized Healthcare
Personalized diagnosis
Personalized therapy
= Personalized healthcare
+
Patient participation
X-Omics
Therapy monitoring
8 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
Genomic impact in Personalized Health(care)
Personalized medicine:
B-RAFV600E drugs for melanoma
Personalized health:
BRCA-driven preventive surgery
9 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
Precision medicine in genetic-metabolic disease – current
Personalized diagnosis
Genomics
(WES)
Metabolomics
(IEM panel)
New disease
mechanisms
Personalized therapies
Nature Genetics 2018
NEJM 2014
Nature 2016
NEJM 2014
Genet Med 2017
10 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
Precision medicine in genetic-metabolic disease - future
Personalized diagnosis
Genomics
(WGS)
Metabolomics
(more panels)
New personalized
therapies
Glycomics
Glycoproteomics
Deep Learning
Artificial Intelligence
System biology
Nature Genetics 2016 Pilot 2017
New disease
mechanisms
11 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
12 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
However … 3 innovation gaps !
innovation
1. Research to research
2. Research to diagnostics
3. Research to society
13 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
Innovation gap Research to Research
{Freedman et al, PLOS Biology, 2015}
• About 50% of scientific findings cannot be reproduced
• Multiple reasons (practical variations, financial/scientific incentives, etc)
• Gap in translational innovations.
• Bad for science, economics and society
14 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
Categories of errors leading to irreproducibility
{Freedman et al,
PLOS Biology, 2015}
15 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
“It is simply no longer possible to believe much of the clinical
research that is published, or to rely on the judgment of trusted
physicians or authoritative medical guidelines.
I take no pleasure in this conclusion, which I reached slowly and
reluctantly over my two decades as an editor of The New
England Journal of Medicine.”
Marcia Angell, MD
Former Editor-in-Chief NEJM
Oct 2010
16 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
Critical component in biomarker R&D: Data
{Wilkinson et al,
Nature Scientific Data, 2016}
Need to increase quality in:
• Data capture
• Data stewardship (FAIR)
17 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
DATA STEWARDSHIP: INTEROPERABILITY IS KEY
If data are interoperable … … analytics provide new knowledge
18 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
… but not all data is useful data !
However … 3 innovation gaps !
innovation
1. Research to research
2. Research to diagnostics
3. Research to society
20 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
Biomarker innovation gaps !
Discovery Clinical
validation/confirmation
Diagnostic
test
Number of
biomarkers
Gap 1
Gap 2
• Too much biomarker discovery
• Too little development to application
21 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
Biomarker innovation gaps: some numbers
~ 5 biomarkers/
working day
1 biomarker/
1-3 years
1 biomarker/
2-10 years
Discovery Clinical
validation/confirmation
Diagnostic
test
Number of
biomarkers
Gap 1
Gap 2
Eg Biomarkers in time: Prostate cancer
May 2011: 2,231 biomarkers
Nov 2012: 6,562 biomarkers
Oct 2013: 8,358 biomarkers
Nov 2014: 10,350 biomarkers
Oct 2015: 11,856 biomarkers
Nov 2016: 14,481 biomarkers
Oct 2017: 15,463 biomarkers
Oct 2018: 16,501 biomarkers
22 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
Choice for biomarker scientists: discover or confirm?
23 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
Good example of multi-laboratory biomarker validation
3 biomarkers:
• Aβ42
• T-Tau
• P-Tau
24 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
Good example of multi-laboratory biomarker validation
25
Adoption of best biomarker practice ???
However … 3 innovation gaps !
innovation
1. Research to research
2. Research to diagnostics
3. Research to society
26 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
3 key aspects of personalized health(care)
‘I want to stay healthy. If not, how do I get healthy?’
1. What to measure?
2. How much can it change?
3. What should be the follow-up for me?
27 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
Translation is key in Personalized Healthcare
Personal profile data
Knowledge
Understanding
Decision
Action
28 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
Towards a personalized data-driven GPS for health
• Monitor on background
• Alert when you are at risk
• Advice what to do
29 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
Next: focus on prevention ?
30 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
31 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
Getting into ethical considerations
Moving forward from quantity to quality
innovation
1. Research to research
2. Research to diagnostics
3. Research to society
32 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
Partners in biomarkers innovation
33 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
1. Focus on the end user: the patient / citizen
34 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
2. Interpret data with self-normalisation
healthy disease disease +
treatment
A
healthy disease disease +
treatment
100%
Normalisation of responders
C
Subgroups
B
healthy disease disease +
treatment
100%
Individual data through self-monitoring
D
treatment time
35 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
3. Do realize there is no single one reflection of health
• Funhouse mirror effect
• Multiple sources of your
data
• Omics
• EPD
• Diagnostics
• Wearables
• Health apps
• Commercial health tests
• Social media
• Surrounding
• Each give an (incomplete)
image of you
• How to deal with this for
personal health?
{Mira Vegter, Hub Zwart, Alain van Gool, in prep}
36 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
4. Be open to alternative therapies
Higher efficacy / less side effects
37
Pharma-Nutrition
37 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
5. Progress further through collaboration
38 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018 www.radboudumc.nl/research/technologycenters
European
national
local
39 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
Netherlands X-omics Initiative
www.x-omics.nl
• Access
• Helpdesk / training
• Collaboration
40 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
Netherlands X-omics Initiative
Push omics
technologies
• Resolution
• Sensitivity
• Coverage
Genomics
Proteomics
Metabolomics
• Quality
• Standards
• Data FAIR
at source
X-omics
• Study design
• Sample handling
• Data cataloging
• Quality
• Expertise
• Best practice
• Data integration
• Data analysis
• Best practice
• Access
• Helpdesk / training
• Collaboration
41 Alain van Gool, Healthy Brain Chort day, Nijmegen, 2 Nov 2018
6. Join forces in biomarker activities
Europe
USA
{Asadullah et al, Nature Reviews Drug Discovery, Dec 2015}
42 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
Collaboration towards Good Biomarker Practices
{van Gool et al, Nature Reviews Drug Discovery, Apr 2017}
COST action CA16113
http://clinimark.eu
43 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
7. Collaboration towards nationwide programs
44 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
8. And learn from other fields!
45 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
Acknowledgements
Translational Metabolic Laboratory
Hans Wessels
Dirk Lefeber
Karlien Coene
Leo Kluijtmans
Richard Rodenburg
Jolein Gloerich
Anouk Suppers
Purva Kulkarni
Roel Tans
Esther Willems
Ron Wevers
and others
Edwin Cuppen
Albert Heck
Thomas Hankemeier
Peter Bram ‘t Hoen
Daniella Kasteel
and others
Collaborators/funders
Human Genetics Nijmegen
Marcel Nelen
Alexander Hoischen
Lisenka Vissers
Christian Gillisen
Han Brunner
and others
alain.vangool@radboudumc.nl
www.radboudumc.nl/en/people/alain-van-gool
www.slideshare.net/alainvangool
CarTarDis
Irene Keularts
Hans Scheffer
and others
Rainer Bischoff
Theo Luider
and others

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2018 11-28 SAB Interreg BIC project Baltic Sea Region, Copenhagen, Alain van Gool

  • 1. Biomarker innovation gaps: setting the scene BiC Advisory Board meeting Copenhagen, 28 Nov 2018 Prof Alain van Gool Professor Personalized Healthcare Head Translational Metabolic Laboratory Strategic advisor of the executive board Coordinator Radboudumc Technology Centers
  • 2. My path in translational health research Dutch CC meeting ‘Personalized Health Care” Ede, 2 October 2013 Alain van Gool Lecture LKCH, UMC Utrecht 29 October 2013 Alain van Gool Knowledge validation & application Knowledge translation Knowledge exploitation Fundamental knowledge Universities IndustryUniversity medical centers Applied Research Institutes 1991 2018 • Basis in molecular biology • Academia, pharma, medical center, applied research institutes • Biomarkers / Omics / technologies • Mechanisms of disease • Translational medicine • Personalized healthcare 2
  • 3. My current roles Scientific lead DTL-Technologies (NL) Chair EATRIS Biomarker Platform (EU) Professor of Personalized Healthcare Head Translational Metabolic Laboratory Strategic Advisor Executive Board Coordinator Radboudumc Technology Centers PI Biomarker Development Center (NL) Coordinator Netherlands X-omics Initiative (NL) Co-initiator of Health-RI (NL) 3
  • 4. 4 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
  • 5. Exponential developments – lab technology 500 1000 1500 2000 m/z 5 10 15 20 25 30 35 40 Time [min] 5
  • 7. Exponential developments - data 7 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
  • 8. Role of molecular biomarkers in Personalized Healthcare Personalized diagnosis Personalized therapy = Personalized healthcare + Patient participation X-Omics Therapy monitoring 8 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
  • 9. Genomic impact in Personalized Health(care) Personalized medicine: B-RAFV600E drugs for melanoma Personalized health: BRCA-driven preventive surgery 9 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
  • 10. Precision medicine in genetic-metabolic disease – current Personalized diagnosis Genomics (WES) Metabolomics (IEM panel) New disease mechanisms Personalized therapies Nature Genetics 2018 NEJM 2014 Nature 2016 NEJM 2014 Genet Med 2017 10 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
  • 11. Precision medicine in genetic-metabolic disease - future Personalized diagnosis Genomics (WGS) Metabolomics (more panels) New personalized therapies Glycomics Glycoproteomics Deep Learning Artificial Intelligence System biology Nature Genetics 2016 Pilot 2017 New disease mechanisms 11 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
  • 12. 12 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
  • 13. However … 3 innovation gaps ! innovation 1. Research to research 2. Research to diagnostics 3. Research to society 13 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
  • 14. Innovation gap Research to Research {Freedman et al, PLOS Biology, 2015} • About 50% of scientific findings cannot be reproduced • Multiple reasons (practical variations, financial/scientific incentives, etc) • Gap in translational innovations. • Bad for science, economics and society 14 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
  • 15. Categories of errors leading to irreproducibility {Freedman et al, PLOS Biology, 2015} 15 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
  • 16. “It is simply no longer possible to believe much of the clinical research that is published, or to rely on the judgment of trusted physicians or authoritative medical guidelines. I take no pleasure in this conclusion, which I reached slowly and reluctantly over my two decades as an editor of The New England Journal of Medicine.” Marcia Angell, MD Former Editor-in-Chief NEJM Oct 2010 16 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
  • 17. Critical component in biomarker R&D: Data {Wilkinson et al, Nature Scientific Data, 2016} Need to increase quality in: • Data capture • Data stewardship (FAIR) 17 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
  • 18. DATA STEWARDSHIP: INTEROPERABILITY IS KEY If data are interoperable … … analytics provide new knowledge 18 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
  • 19. … but not all data is useful data !
  • 20. However … 3 innovation gaps ! innovation 1. Research to research 2. Research to diagnostics 3. Research to society 20 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
  • 21. Biomarker innovation gaps ! Discovery Clinical validation/confirmation Diagnostic test Number of biomarkers Gap 1 Gap 2 • Too much biomarker discovery • Too little development to application 21 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
  • 22. Biomarker innovation gaps: some numbers ~ 5 biomarkers/ working day 1 biomarker/ 1-3 years 1 biomarker/ 2-10 years Discovery Clinical validation/confirmation Diagnostic test Number of biomarkers Gap 1 Gap 2 Eg Biomarkers in time: Prostate cancer May 2011: 2,231 biomarkers Nov 2012: 6,562 biomarkers Oct 2013: 8,358 biomarkers Nov 2014: 10,350 biomarkers Oct 2015: 11,856 biomarkers Nov 2016: 14,481 biomarkers Oct 2017: 15,463 biomarkers Oct 2018: 16,501 biomarkers 22 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
  • 23. Choice for biomarker scientists: discover or confirm? 23 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
  • 24. Good example of multi-laboratory biomarker validation 3 biomarkers: • Aβ42 • T-Tau • P-Tau 24 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
  • 25. Good example of multi-laboratory biomarker validation 25 Adoption of best biomarker practice ???
  • 26. However … 3 innovation gaps ! innovation 1. Research to research 2. Research to diagnostics 3. Research to society 26 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
  • 27. 3 key aspects of personalized health(care) ‘I want to stay healthy. If not, how do I get healthy?’ 1. What to measure? 2. How much can it change? 3. What should be the follow-up for me? 27 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
  • 28. Translation is key in Personalized Healthcare Personal profile data Knowledge Understanding Decision Action 28 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
  • 29. Towards a personalized data-driven GPS for health • Monitor on background • Alert when you are at risk • Advice what to do 29 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
  • 30. Next: focus on prevention ? 30 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
  • 31. 31 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018 Getting into ethical considerations
  • 32. Moving forward from quantity to quality innovation 1. Research to research 2. Research to diagnostics 3. Research to society 32 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
  • 33. Partners in biomarkers innovation 33 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
  • 34. 1. Focus on the end user: the patient / citizen 34 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
  • 35. 2. Interpret data with self-normalisation healthy disease disease + treatment A healthy disease disease + treatment 100% Normalisation of responders C Subgroups B healthy disease disease + treatment 100% Individual data through self-monitoring D treatment time 35 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
  • 36. 3. Do realize there is no single one reflection of health • Funhouse mirror effect • Multiple sources of your data • Omics • EPD • Diagnostics • Wearables • Health apps • Commercial health tests • Social media • Surrounding • Each give an (incomplete) image of you • How to deal with this for personal health? {Mira Vegter, Hub Zwart, Alain van Gool, in prep} 36 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
  • 37. 4. Be open to alternative therapies Higher efficacy / less side effects 37 Pharma-Nutrition 37 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
  • 38. 5. Progress further through collaboration 38 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018 www.radboudumc.nl/research/technologycenters
  • 39. European national local 39 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
  • 40. Netherlands X-omics Initiative www.x-omics.nl • Access • Helpdesk / training • Collaboration 40 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
  • 41. Netherlands X-omics Initiative Push omics technologies • Resolution • Sensitivity • Coverage Genomics Proteomics Metabolomics • Quality • Standards • Data FAIR at source X-omics • Study design • Sample handling • Data cataloging • Quality • Expertise • Best practice • Data integration • Data analysis • Best practice • Access • Helpdesk / training • Collaboration 41 Alain van Gool, Healthy Brain Chort day, Nijmegen, 2 Nov 2018
  • 42. 6. Join forces in biomarker activities Europe USA {Asadullah et al, Nature Reviews Drug Discovery, Dec 2015} 42 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
  • 43. Collaboration towards Good Biomarker Practices {van Gool et al, Nature Reviews Drug Discovery, Apr 2017} COST action CA16113 http://clinimark.eu 43 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
  • 44. 7. Collaboration towards nationwide programs 44 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
  • 45. 8. And learn from other fields! 45 Alain van Gool, BiC SAB, Copenhagen, 27 Nov 2018
  • 46. Acknowledgements Translational Metabolic Laboratory Hans Wessels Dirk Lefeber Karlien Coene Leo Kluijtmans Richard Rodenburg Jolein Gloerich Anouk Suppers Purva Kulkarni Roel Tans Esther Willems Ron Wevers and others Edwin Cuppen Albert Heck Thomas Hankemeier Peter Bram ‘t Hoen Daniella Kasteel and others Collaborators/funders Human Genetics Nijmegen Marcel Nelen Alexander Hoischen Lisenka Vissers Christian Gillisen Han Brunner and others alain.vangool@radboudumc.nl www.radboudumc.nl/en/people/alain-van-gool www.slideshare.net/alainvangool CarTarDis Irene Keularts Hans Scheffer and others Rainer Bischoff Theo Luider and others