SlideShare a Scribd company logo
1 of 18
Biosample Exchanges
The past, the current and the future – how do we
make it work?
Moderator: Dr Kate Torchilin, CEO Novaseek
Panelist: John Spaull, Senior Scientific Investigator, GSK, UK
Panelist: Philip Quinlan, CTO, Advanced Data Analysis Centre, University of
Nottingham, UK.
October 29, 2015
This webinar is being recorded
©PistoiaAlliance
Panelist Background
Moderator: Dr Kate Torchilin, CEO Novaseek
Kate is an experienced life sciences executive and entrepreneur with a track record of building
innovative companies. Prior to joining Novaseek, Kate served as Vice President and General Manager of Connected
Health and Head of Global Women’s Health at Alere Inc., global leader in rapid diagnostics. Before that, Kate was CEO of
Biocell Center, stem cell technology company and biobank, and held various management positions at Thermo Fisher
Scientific. Earlier in her career, Kate worked as technology licensing specialist at Beth Israel Deaconess Medical Center,
teaching hospital for Harvard Medical School. Kate has an MBA from Harvard Business School, PhD in Biochemistry from
Tufts University and BS in Chemistry from Moscow State University, Russia.
Panelist: John Spaull, Senior Scientific Investigator, GSK, UK
John Spaull has worked for GSK for 25 years, mainly as a histologist looking at novel target validation and target
identification, using immunohistochemistry, whole slide imaging, spectral imaging and image analysis techniques. Prior to
GSK he spent 10 years in the Health Service in routine and research histology. The increasing requirement for the use of
human biological samples in target validation and other early pharmaceutical Discovery assays has led to a change in
strategy and he is now part of a small group responsible for the acquisition of human biological samples for a wide range
of assays both internally and for academic collaborators. This requires knowledge of the regulatory environments
nationally and internationally and a good understanding of sources of human biosamples, both commercial and
academic. A Biosample Exchange would simplify the task of delivering high quality samples to our research groups which
should in turn help deliver medicines to the patients who need them. John has a Biomedical Science MSc, is a Fellow of
the Institute of Biomedical Sciences and is a State Registered Biomedical Scientist.
Panelist: Philip Quinlan, CTO, Advanced Data Analysis Centre, University of
Nottingham, UK.
Dr Phil Quinlan has a over a decade of experience working on biobanking systems (such as the Breast Cancer Campaign
Tissue Bank and HCV Research UK). His current role is as the Chief Technology Officer for the Advanced Data Analysis
Centre (ADAC) and the University of Nottingham. ADAC provide leading data analytic capabilities in a range of academic
and commercial settings. One of the main projects within ADACs portfolio is the UKCRC Tissue Directory and Coordination
Centre and Phil is leading the informatics components of the UKCRC Tissue Directory and Coordination Centre.
P1
Introduction
Kate Torchilin, PhD, MBA
CEO, Novaseek Research
Boston, MA, USA
©PistoiaAlliance
Access to Biosamples Remains One of the
Key Bottlenecks in Pharma R&D
• Access to biosamples remains a bottleneck in pharma
R&D. Researchers need access to the right biosample from the
right patient at the right time and with the right data
• Millions of dollars have been invested both in creating biosample
repositories as well as in the collection infrastructures, by
government, academia and industry; millions in budget approvals
continue to be requested each year for acquiring biosamples for
research
• Thousands of biobanks and sample collections have been created
within various for-profit and non-for-profit entities
• We will discuss approaches that can be pursued
to increase transparency of information and
streamlined approaches to acquiring biosamples
P2
©PistoiaAlliance
Existing Biobanks – Not All Samples are
Fit for Purpose
• Many of the samples in storage today were collected before the era
of genomic- and proteomic-based research
• Utilizing samples that were collected for various research or clinical
needs require specific patient consent
• Sometimes missing just one piece of data, or one clause in consent,
could make the collection obsolete
• Sometimes the quality is questionable. In one test by the Office of
Biorepository and Biospecimen Research – in Collection 1, 1,392 /
5,000 samples passed inventory review and 174 / 5,000 passed
pathology review; in Collection 2, 120 / 1,200 samples passed
inventory review and 18 /1,200 passed pathology
review (Jim Vaught, 2011.)
©PistoiaAlliance
Key Issues and Need for Best Practices
PROBLEM
• Lack of availability of specimens
• Collection “silos”
• Inadequate/unknown quality
• Lack of broadly accepted
standards
• No transparency into which
samples are available and where,
and on how to access them
• Ethical & legal requirements delay
access
POTENTIAL SOLUTION
• Standardized collection approaches
• Standardized processing
• Standardized data and detailed
annotation for each sample
• Standardized and transparent
consents and MTAs
• Supporting IT systems
• Accreditation – French Norm,
Scotland biobank accreditation
scheme, CAP biobank accreditation,
Canadian tissue repository
accreditation, etc.
P3
©PistoiaAlliance
Two Approaches Have Emerged for
Centralizing Biosample Resources
Hub and Spoke collections
• For example:
• the Collaborative Human Tissue
Network (CHTN), by the National
Cancer Institute (NCI) in the US,
serves as an intermediary
organization, collecting requests
from researchers and then
sourcing specimens from its
network
Catalog approach
• For example:
• BBMRI Europe – aims to improve the
accessibility and interoperability of the
existing collections of biological
samples from different populations of
Europe as well as biomolecular
resources
• ISBER – international repository locator
to identify repository managers
worldwide, and gather information about
their repositories to assist development
of content for the repository profile
webpage
A User Perspective
How does a Pharma user want to interact with a
Biosample Exchange?
John Spaull, GSK R&D, Stevenage, UK
©PistoiaAlliance
Usage ?
• Target Identification/Target Validation
– Well characterised, well annotated samples
– Likely to be archived so annotation represents that
snapshot time point
– Downstream donor data – outcome measures
– The more data is available the greater the stratification of
disease groups and the more granular the TI/TV can be
– Donor number, what is significant ?
– Add value ? TMA creation ? (Pharma have preferred
CROs)
– Timescale – project timelines are contracting, expect quick
turnaround, weeks not months
– Quality measure ?
– Ethics and Consent in place ? Sensitivities – ‘genetics’,
cross border usage
– Cost
©PistoiaAlliance
Usage ?
• Fresh live tissue
– Great interest in using fresh tissue as disease model
– Spontaneous mediator readout, + drug effects,
signalling intermediates, screening
– Availability ? Identification of sources within institution
– Control ischaemic delay
– Add value ? On-site preparation of fresh samples,
non-standard testing to select sample
– Regular supply, quantity, non elective surgeries ?
– Data at sample collection
– Follow up test data
– Cost
©PistoiaAlliance
What does the Biobank get out of the relationship?
• Cost recovery
• Potential staff funding, equipment funding (use of
your lab ?)
• (Publication)
• (Clinical Trials)
• (Access to instrumentation / feedback of results)
• Archive is a living resource (cf an end stage, dead
resource)
• Participation in drug discovery, potential benefits to
future patients
P4 Medicine –
Preventative/Predictive/Personalised/Participatory
Data driven ….. Dynamic change
P4-6
Current UK thinking
Explaining the work of the UKCRC Tissue Directory and
Coordination Centre
https://www.biobankinguk.org
Philip Quinlan, CTO, Advanced Data Analysis Centre, Nottingham
©PistoiaAlliance
Background
“Funders aim to maximise the value of human
tissue samples and resources while minimising
duplication of effort. This requires better
characterisation of tissue samples, asking for
generic consent, and increased linkage to
accurate clinical data. Sample collections must
then be made more easily discoverable and
accessible for use in high quality, ethical
research.”
http://www.ukcrc.org/research-infrastructure/experimental-
medicine/funders-vision-for-human-tissue-resources/
©PistoiaAlliance
Tissue Directory
Biobanks Researchers
©PistoiaAlliance
Phase 1
Capability
Data
Samples
• Can you collect on bespoke consent forms or using bespoke SOPs?
• Approx. how many donors do you expect in a year?
• Can you collect metastatic disease (where applicable)?
• What data can you collect and in what timeframe?
• What data can you collect and in what timeframe:
• Now?, 0-3 months, 3-6 months, 6-12 months?
• What quality information can you provide?
• Freezer logs, cold/warm ischemic time
• Approx. breakdown of donors based on:
• Disease, Age, Gender
• Percentage of samples based on:
• Material Type, Macroscopic Assessment, Preservation
P7
©PistoiaAlliance
Audience Discussion
• Please submit questions through the question
box on the right.
info@pistoiaalliance.org @pistoiaalliance www.pistoiaalliance.org

More Related Content

What's hot

dkNET Webinar: "The Microphysiology Systems Database (MPS-Db): A Platform For...
dkNET Webinar: "The Microphysiology Systems Database (MPS-Db): A Platform For...dkNET Webinar: "The Microphysiology Systems Database (MPS-Db): A Platform For...
dkNET Webinar: "The Microphysiology Systems Database (MPS-Db): A Platform For...
dkNET
 

What's hot (9)

Tackling AMR - new ways of working
Tackling AMR - new ways of workingTackling AMR - new ways of working
Tackling AMR - new ways of working
 
5th Tumor Models Boston July 2017 Brochure
5th Tumor Models Boston July 2017 Brochure5th Tumor Models Boston July 2017 Brochure
5th Tumor Models Boston July 2017 Brochure
 
Maya Chaddah, Science Communications
Maya Chaddah, Science CommunicationsMaya Chaddah, Science Communications
Maya Chaddah, Science Communications
 
dkNET Poster Experimental Biology 2019
dkNET Poster Experimental Biology 2019dkNET Poster Experimental Biology 2019
dkNET Poster Experimental Biology 2019
 
cBioPortal Webinar Slides (3/3)
cBioPortal Webinar Slides (3/3)cBioPortal Webinar Slides (3/3)
cBioPortal Webinar Slides (3/3)
 
Going Virtual: Evolving Real-World Evidence (RWE) Study Design
Going Virtual: Evolving Real-World Evidence (RWE) Study DesignGoing Virtual: Evolving Real-World Evidence (RWE) Study Design
Going Virtual: Evolving Real-World Evidence (RWE) Study Design
 
dkNET Webinar: "The Microphysiology Systems Database (MPS-Db): A Platform For...
dkNET Webinar: "The Microphysiology Systems Database (MPS-Db): A Platform For...dkNET Webinar: "The Microphysiology Systems Database (MPS-Db): A Platform For...
dkNET Webinar: "The Microphysiology Systems Database (MPS-Db): A Platform For...
 
C like business model 20160901 update
C like business model  20160901 updateC like business model  20160901 update
C like business model 20160901 update
 
dkNET Webinar: Creating and Sustaining a FAIR Biomedical Data Ecosystem 10/09...
dkNET Webinar: Creating and Sustaining a FAIR Biomedical Data Ecosystem 10/09...dkNET Webinar: Creating and Sustaining a FAIR Biomedical Data Ecosystem 10/09...
dkNET Webinar: Creating and Sustaining a FAIR Biomedical Data Ecosystem 10/09...
 

Viewers also liked

Viewers also liked (18)

Pistoia alliance debates ethics of big data 21-05-2015 16.00
Pistoia alliance debates   ethics of big data 21-05-2015 16.00Pistoia alliance debates   ethics of big data 21-05-2015 16.00
Pistoia alliance debates ethics of big data 21-05-2015 16.00
 
Pistoia Alliance European Conference 2015 - Susanne Bauerschmidt / Osthus
Pistoia Alliance European Conference 2015 - Susanne Bauerschmidt / OsthusPistoia Alliance European Conference 2015 - Susanne Bauerschmidt / Osthus
Pistoia Alliance European Conference 2015 - Susanne Bauerschmidt / Osthus
 
Pistoia Alliance conference April 2016: Big Data: Eric Little
Pistoia Alliance conference April 2016: Big Data: Eric LittlePistoia Alliance conference April 2016: Big Data: Eric Little
Pistoia Alliance conference April 2016: Big Data: Eric Little
 
Pistoia Alliance RSC evening event 2015: Ashley George's introduction
Pistoia Alliance RSC evening event 2015: Ashley George's introductionPistoia Alliance RSC evening event 2015: Ashley George's introduction
Pistoia Alliance RSC evening event 2015: Ashley George's introduction
 
Pistoia Alliance RSC evening event 2015: Misha Kaphushesky, GeneStack, on the...
Pistoia Alliance RSC evening event 2015: Misha Kaphushesky, GeneStack, on the...Pistoia Alliance RSC evening event 2015: Misha Kaphushesky, GeneStack, on the...
Pistoia Alliance RSC evening event 2015: Misha Kaphushesky, GeneStack, on the...
 
Pistoia Alliance conference April 2016: Mini Startup Challenge: smartbell
Pistoia Alliance conference April 2016: Mini Startup Challenge: smartbellPistoia Alliance conference April 2016: Mini Startup Challenge: smartbell
Pistoia Alliance conference April 2016: Mini Startup Challenge: smartbell
 
Pistoia Alliance conference April 2016: Big Data: Introduction
Pistoia Alliance conference April 2016: Big Data: IntroductionPistoia Alliance conference April 2016: Big Data: Introduction
Pistoia Alliance conference April 2016: Big Data: Introduction
 
Pistoia Alliance Debates: Smart Glasses, Smart Scientists; 25th February 2016...
Pistoia Alliance Debates: Smart Glasses, Smart Scientists; 25th February 2016...Pistoia Alliance Debates: Smart Glasses, Smart Scientists; 25th February 2016...
Pistoia Alliance Debates: Smart Glasses, Smart Scientists; 25th February 2016...
 
Pistoia Alliance European Conference 2015 - Ann Martin / IMI
Pistoia Alliance European Conference 2015 - Ann Martin / IMIPistoia Alliance European Conference 2015 - Ann Martin / IMI
Pistoia Alliance European Conference 2015 - Ann Martin / IMI
 
Wingu -- Pharma-in-a-Box
Wingu -- Pharma-in-a-BoxWingu -- Pharma-in-a-Box
Wingu -- Pharma-in-a-Box
 
Dynamic Integration of Semantic Metadata in Biomedical Communications
Dynamic Integration of Semantic Metadata in Biomedical CommunicationsDynamic Integration of Semantic Metadata in Biomedical Communications
Dynamic Integration of Semantic Metadata in Biomedical Communications
 
Pistoia alliance debates big data solution or pollution 26-02-2015 15 00
Pistoia alliance debates  big data solution or pollution   26-02-2015 15 00Pistoia alliance debates  big data solution or pollution   26-02-2015 15 00
Pistoia alliance debates big data solution or pollution 26-02-2015 15 00
 
Pistoia Alliance US Conference 2015 - 1.5.3 New data - Niall O'Connor
Pistoia Alliance US Conference 2015 - 1.5.3 New data - Niall O'ConnorPistoia Alliance US Conference 2015 - 1.5.3 New data - Niall O'Connor
Pistoia Alliance US Conference 2015 - 1.5.3 New data - Niall O'Connor
 
Pistoia Alliance USA Conference 2016
Pistoia Alliance USA Conference 2016Pistoia Alliance USA Conference 2016
Pistoia Alliance USA Conference 2016
 
Pistoia Alliance conference April 2016: Mini Startup Challenge: MedexPriM
Pistoia Alliance conference April 2016: Mini Startup Challenge: MedexPriMPistoia Alliance conference April 2016: Mini Startup Challenge: MedexPriM
Pistoia Alliance conference April 2016: Mini Startup Challenge: MedexPriM
 
Pistoia Alliance US Conference 2015 - 1.1.4 Innovation in Pharma - Chris McKenna
Pistoia Alliance US Conference 2015 - 1.1.4 Innovation in Pharma - Chris McKennaPistoia Alliance US Conference 2015 - 1.1.4 Innovation in Pharma - Chris McKenna
Pistoia Alliance US Conference 2015 - 1.1.4 Innovation in Pharma - Chris McKenna
 
Pistoia Alliance US Conference 2015 - 1.3.4 New member introductions - Genexyx
Pistoia Alliance US Conference 2015 - 1.3.4 New member introductions - GenexyxPistoia Alliance US Conference 2015 - 1.3.4 New member introductions - Genexyx
Pistoia Alliance US Conference 2015 - 1.3.4 New member introductions - Genexyx
 
Pistoia Alliance US Conference 2015 - 1.3.2 New member introductions - DNAnexus
Pistoia Alliance US Conference 2015 - 1.3.2 New member introductions - DNAnexusPistoia Alliance US Conference 2015 - 1.3.2 New member introductions - DNAnexus
Pistoia Alliance US Conference 2015 - 1.3.2 New member introductions - DNAnexus
 

Similar to Biosample exchanges – the past, the current and the future – how do we make it work? 29 10-2015, 15.00

One start finalists
One start finalistsOne start finalists
One start finalists
johndaley89
 
OneStart Top 10 Finalists
OneStart Top 10 FinalistsOneStart Top 10 Finalists
OneStart Top 10 Finalists
johndaley89
 
Utilization of virtual microscopy in a cooperative group setting
Utilization of virtual microscopy in a cooperative group settingUtilization of virtual microscopy in a cooperative group setting
Utilization of virtual microscopy in a cooperative group setting
BIT002
 

Similar to Biosample exchanges – the past, the current and the future – how do we make it work? 29 10-2015, 15.00 (20)

Biobanking 17072018 sanjay singh.pptx
Biobanking 17072018 sanjay singh.pptxBiobanking 17072018 sanjay singh.pptx
Biobanking 17072018 sanjay singh.pptx
 
SMi Group's BioBanking 2018
SMi Group's BioBanking 2018SMi Group's BioBanking 2018
SMi Group's BioBanking 2018
 
Pressure Biosciences Investor Presentation
Pressure Biosciences Investor PresentationPressure Biosciences Investor Presentation
Pressure Biosciences Investor Presentation
 
Biobanking for better research and healthcare
Biobanking for better research and healthcareBiobanking for better research and healthcare
Biobanking for better research and healthcare
 
Pressure BioScience Presentation January 2017
Pressure BioScience Presentation January 2017Pressure BioScience Presentation January 2017
Pressure BioScience Presentation January 2017
 
Biobanking: The Australian Experience
Biobanking: The Australian ExperienceBiobanking: The Australian Experience
Biobanking: The Australian Experience
 
NIH Data Science Special Interest Group
NIH Data Science Special Interest GroupNIH Data Science Special Interest Group
NIH Data Science Special Interest Group
 
The australian experience issues and solutions-Dr.Daniel Catchpoole
The australian experience issues and solutions-Dr.Daniel CatchpooleThe australian experience issues and solutions-Dr.Daniel Catchpoole
The australian experience issues and solutions-Dr.Daniel Catchpoole
 
Data Virtualization Modernizes Biobanking
Data Virtualization Modernizes BiobankingData Virtualization Modernizes Biobanking
Data Virtualization Modernizes Biobanking
 
Bio banking synopsis
Bio banking synopsisBio banking synopsis
Bio banking synopsis
 
SMi Groups' 4th annual BioBanking conference
SMi Groups' 4th annual BioBanking conferenceSMi Groups' 4th annual BioBanking conference
SMi Groups' 4th annual BioBanking conference
 
One start finalists
One start finalistsOne start finalists
One start finalists
 
OneStart Top 10 Finalists
OneStart Top 10 FinalistsOneStart Top 10 Finalists
OneStart Top 10 Finalists
 
Become a Medicines Discovery Catapult Partner - Nottingham
Become a Medicines Discovery Catapult Partner - NottinghamBecome a Medicines Discovery Catapult Partner - Nottingham
Become a Medicines Discovery Catapult Partner - Nottingham
 
Informatics Principles of Modern Institutional Bio-banking: The Road Ahead
Informatics Principles of Modern Institutional Bio-banking: The Road AheadInformatics Principles of Modern Institutional Bio-banking: The Road Ahead
Informatics Principles of Modern Institutional Bio-banking: The Road Ahead
 
Julie Corfield
Julie CorfieldJulie Corfield
Julie Corfield
 
Derick Mitchell_Biobanking from the patient perspective.pdf
Derick Mitchell_Biobanking from the patient perspective.pdfDerick Mitchell_Biobanking from the patient perspective.pdf
Derick Mitchell_Biobanking from the patient perspective.pdf
 
Utilization of virtual microscopy in a cooperative group setting
Utilization of virtual microscopy in a cooperative group settingUtilization of virtual microscopy in a cooperative group setting
Utilization of virtual microscopy in a cooperative group setting
 
Impact Through Innovation: The Wellcome Sanger Institute
Impact Through Innovation: The Wellcome Sanger InstituteImpact Through Innovation: The Wellcome Sanger Institute
Impact Through Innovation: The Wellcome Sanger Institute
 
Rare Disease Research in Canada: Paul Lasko (CIHR - Institute of Genetics)
Rare Disease Research in Canada: Paul Lasko (CIHR - Institute of Genetics)Rare Disease Research in Canada: Paul Lasko (CIHR - Institute of Genetics)
Rare Disease Research in Canada: Paul Lasko (CIHR - Institute of Genetics)
 

More from Pistoia Alliance

More from Pistoia Alliance (20)

Fairification experience clarifying the semantics of data matrices
Fairification experience clarifying the semantics of data matricesFairification experience clarifying the semantics of data matrices
Fairification experience clarifying the semantics of data matrices
 
MPS webinar master deck
MPS webinar master deckMPS webinar master deck
MPS webinar master deck
 
Digital webinar master deck final
Digital webinar master deck finalDigital webinar master deck final
Digital webinar master deck final
 
Heartificial intelligence - claudio-mirti
Heartificial intelligence - claudio-mirtiHeartificial intelligence - claudio-mirti
Heartificial intelligence - claudio-mirti
 
Fair by design
Fair by designFair by design
Fair by design
 
Knowledge graphs ilaria maresi the hyve 23apr2020
Knowledge graphs   ilaria maresi the hyve 23apr2020Knowledge graphs   ilaria maresi the hyve 23apr2020
Knowledge graphs ilaria maresi the hyve 23apr2020
 
2020.04.07 automated molecular design and the bradshaw platform webinar
2020.04.07 automated molecular design and the bradshaw platform webinar2020.04.07 automated molecular design and the bradshaw platform webinar
2020.04.07 automated molecular design and the bradshaw platform webinar
 
Data market evolution, a future shaped by FAIR
Data market evolution, a future shaped by FAIRData market evolution, a future shaped by FAIR
Data market evolution, a future shaped by FAIR
 
AI in translational medicine webinar
AI in translational medicine webinarAI in translational medicine webinar
AI in translational medicine webinar
 
CEDAR work bench for metadata management
CEDAR work bench for metadata managementCEDAR work bench for metadata management
CEDAR work bench for metadata management
 
Open interoperability standards, tools and services at EMBL-EBI
Open interoperability standards, tools and services at EMBL-EBIOpen interoperability standards, tools and services at EMBL-EBI
Open interoperability standards, tools and services at EMBL-EBI
 
Fair webinar, Ted slater: progress towards commercial fair data products and ...
Fair webinar, Ted slater: progress towards commercial fair data products and ...Fair webinar, Ted slater: progress towards commercial fair data products and ...
Fair webinar, Ted slater: progress towards commercial fair data products and ...
 
Application of recently developed FAIR metrics to the ELIXIR Core Data Resources
Application of recently developed FAIR metrics to the ELIXIR Core Data ResourcesApplication of recently developed FAIR metrics to the ELIXIR Core Data Resources
Application of recently developed FAIR metrics to the ELIXIR Core Data Resources
 
Implementing Blockchain applications in healthcare
Implementing Blockchain applications in healthcareImplementing Blockchain applications in healthcare
Implementing Blockchain applications in healthcare
 
Building trust and accountability - the role User Experience design can play ...
Building trust and accountability - the role User Experience design can play ...Building trust and accountability - the role User Experience design can play ...
Building trust and accountability - the role User Experience design can play ...
 
Pistoia Alliance-Elsevier Datathon
Pistoia Alliance-Elsevier DatathonPistoia Alliance-Elsevier Datathon
Pistoia Alliance-Elsevier Datathon
 
Data for AI models, the past, the present, the future
Data for AI models, the past, the present, the futureData for AI models, the past, the present, the future
Data for AI models, the past, the present, the future
 
PA webinar on benefits & costs of FAIR implementation in life sciences
PA webinar on benefits & costs of FAIR implementation in life sciences PA webinar on benefits & costs of FAIR implementation in life sciences
PA webinar on benefits & costs of FAIR implementation in life sciences
 
AI & ML in Drug Design: Pistoia Alliance CoE
AI & ML in Drug Design: Pistoia Alliance CoEAI & ML in Drug Design: Pistoia Alliance CoE
AI & ML in Drug Design: Pistoia Alliance CoE
 
Ai in drug design webinar 26 feb 2019
Ai in drug design webinar 26 feb 2019Ai in drug design webinar 26 feb 2019
Ai in drug design webinar 26 feb 2019
 

Recently uploaded

The Mariana Trench remarkable geological features on Earth.pptx
The Mariana Trench remarkable geological features on Earth.pptxThe Mariana Trench remarkable geological features on Earth.pptx
The Mariana Trench remarkable geological features on Earth.pptx
seri bangash
 
COMPOSTING : types of compost, merits and demerits
COMPOSTING : types of compost, merits and demeritsCOMPOSTING : types of compost, merits and demerits
COMPOSTING : types of compost, merits and demerits
Cherry
 
Reboulia: features, anatomy, morphology etc.
Reboulia: features, anatomy, morphology etc.Reboulia: features, anatomy, morphology etc.
Reboulia: features, anatomy, morphology etc.
Cherry
 
Lipids: types, structure and important functions.
Lipids: types, structure and important functions.Lipids: types, structure and important functions.
Lipids: types, structure and important functions.
Cherry
 
Porella : features, morphology, anatomy, reproduction etc.
Porella : features, morphology, anatomy, reproduction etc.Porella : features, morphology, anatomy, reproduction etc.
Porella : features, morphology, anatomy, reproduction etc.
Cherry
 
Pteris : features, anatomy, morphology and lifecycle
Pteris : features, anatomy, morphology and lifecyclePteris : features, anatomy, morphology and lifecycle
Pteris : features, anatomy, morphology and lifecycle
Cherry
 
development of diagnostic enzyme assay to detect leuser virus
development of diagnostic enzyme assay to detect leuser virusdevelopment of diagnostic enzyme assay to detect leuser virus
development of diagnostic enzyme assay to detect leuser virus
NazaninKarimi6
 
Digital Dentistry.Digital Dentistryvv.pptx
Digital Dentistry.Digital Dentistryvv.pptxDigital Dentistry.Digital Dentistryvv.pptx
Digital Dentistry.Digital Dentistryvv.pptx
MohamedFarag457087
 
Cyathodium bryophyte: morphology, anatomy, reproduction etc.
Cyathodium bryophyte: morphology, anatomy, reproduction etc.Cyathodium bryophyte: morphology, anatomy, reproduction etc.
Cyathodium bryophyte: morphology, anatomy, reproduction etc.
Cherry
 

Recently uploaded (20)

The Mariana Trench remarkable geological features on Earth.pptx
The Mariana Trench remarkable geological features on Earth.pptxThe Mariana Trench remarkable geological features on Earth.pptx
The Mariana Trench remarkable geological features on Earth.pptx
 
COMPOSTING : types of compost, merits and demerits
COMPOSTING : types of compost, merits and demeritsCOMPOSTING : types of compost, merits and demerits
COMPOSTING : types of compost, merits and demerits
 
Reboulia: features, anatomy, morphology etc.
Reboulia: features, anatomy, morphology etc.Reboulia: features, anatomy, morphology etc.
Reboulia: features, anatomy, morphology etc.
 
GBSN - Microbiology (Unit 3)Defense Mechanism of the body
GBSN - Microbiology (Unit 3)Defense Mechanism of the body GBSN - Microbiology (Unit 3)Defense Mechanism of the body
GBSN - Microbiology (Unit 3)Defense Mechanism of the body
 
Cot curve, melting temperature, unique and repetitive DNA
Cot curve, melting temperature, unique and repetitive DNACot curve, melting temperature, unique and repetitive DNA
Cot curve, melting temperature, unique and repetitive DNA
 
GBSN - Biochemistry (Unit 3) Metabolism
GBSN - Biochemistry (Unit 3) MetabolismGBSN - Biochemistry (Unit 3) Metabolism
GBSN - Biochemistry (Unit 3) Metabolism
 
Lipids: types, structure and important functions.
Lipids: types, structure and important functions.Lipids: types, structure and important functions.
Lipids: types, structure and important functions.
 
Porella : features, morphology, anatomy, reproduction etc.
Porella : features, morphology, anatomy, reproduction etc.Porella : features, morphology, anatomy, reproduction etc.
Porella : features, morphology, anatomy, reproduction etc.
 
module for grade 9 for distance learning
module for grade 9 for distance learningmodule for grade 9 for distance learning
module for grade 9 for distance learning
 
Taphonomy and Quality of the Fossil Record
Taphonomy and Quality of the  Fossil RecordTaphonomy and Quality of the  Fossil Record
Taphonomy and Quality of the Fossil Record
 
Pteris : features, anatomy, morphology and lifecycle
Pteris : features, anatomy, morphology and lifecyclePteris : features, anatomy, morphology and lifecycle
Pteris : features, anatomy, morphology and lifecycle
 
Genome Projects : Human, Rice,Wheat,E coli and Arabidopsis.
Genome Projects : Human, Rice,Wheat,E coli and Arabidopsis.Genome Projects : Human, Rice,Wheat,E coli and Arabidopsis.
Genome Projects : Human, Rice,Wheat,E coli and Arabidopsis.
 
development of diagnostic enzyme assay to detect leuser virus
development of diagnostic enzyme assay to detect leuser virusdevelopment of diagnostic enzyme assay to detect leuser virus
development of diagnostic enzyme assay to detect leuser virus
 
Digital Dentistry.Digital Dentistryvv.pptx
Digital Dentistry.Digital Dentistryvv.pptxDigital Dentistry.Digital Dentistryvv.pptx
Digital Dentistry.Digital Dentistryvv.pptx
 
Use of mutants in understanding seedling development.pptx
Use of mutants in understanding seedling development.pptxUse of mutants in understanding seedling development.pptx
Use of mutants in understanding seedling development.pptx
 
X-rays from a Central “Exhaust Vent” of the Galactic Center Chimney
X-rays from a Central “Exhaust Vent” of the Galactic Center ChimneyX-rays from a Central “Exhaust Vent” of the Galactic Center Chimney
X-rays from a Central “Exhaust Vent” of the Galactic Center Chimney
 
Climate Change Impacts on Terrestrial and Aquatic Ecosystems.pptx
Climate Change Impacts on Terrestrial and Aquatic Ecosystems.pptxClimate Change Impacts on Terrestrial and Aquatic Ecosystems.pptx
Climate Change Impacts on Terrestrial and Aquatic Ecosystems.pptx
 
Cyathodium bryophyte: morphology, anatomy, reproduction etc.
Cyathodium bryophyte: morphology, anatomy, reproduction etc.Cyathodium bryophyte: morphology, anatomy, reproduction etc.
Cyathodium bryophyte: morphology, anatomy, reproduction etc.
 
Terpineol and it's characterization pptx
Terpineol and it's characterization pptxTerpineol and it's characterization pptx
Terpineol and it's characterization pptx
 
GBSN - Biochemistry (Unit 2) Basic concept of organic chemistry
GBSN - Biochemistry (Unit 2) Basic concept of organic chemistry GBSN - Biochemistry (Unit 2) Basic concept of organic chemistry
GBSN - Biochemistry (Unit 2) Basic concept of organic chemistry
 

Biosample exchanges – the past, the current and the future – how do we make it work? 29 10-2015, 15.00

  • 1. Biosample Exchanges The past, the current and the future – how do we make it work? Moderator: Dr Kate Torchilin, CEO Novaseek Panelist: John Spaull, Senior Scientific Investigator, GSK, UK Panelist: Philip Quinlan, CTO, Advanced Data Analysis Centre, University of Nottingham, UK. October 29, 2015
  • 2. This webinar is being recorded
  • 3. ©PistoiaAlliance Panelist Background Moderator: Dr Kate Torchilin, CEO Novaseek Kate is an experienced life sciences executive and entrepreneur with a track record of building innovative companies. Prior to joining Novaseek, Kate served as Vice President and General Manager of Connected Health and Head of Global Women’s Health at Alere Inc., global leader in rapid diagnostics. Before that, Kate was CEO of Biocell Center, stem cell technology company and biobank, and held various management positions at Thermo Fisher Scientific. Earlier in her career, Kate worked as technology licensing specialist at Beth Israel Deaconess Medical Center, teaching hospital for Harvard Medical School. Kate has an MBA from Harvard Business School, PhD in Biochemistry from Tufts University and BS in Chemistry from Moscow State University, Russia. Panelist: John Spaull, Senior Scientific Investigator, GSK, UK John Spaull has worked for GSK for 25 years, mainly as a histologist looking at novel target validation and target identification, using immunohistochemistry, whole slide imaging, spectral imaging and image analysis techniques. Prior to GSK he spent 10 years in the Health Service in routine and research histology. The increasing requirement for the use of human biological samples in target validation and other early pharmaceutical Discovery assays has led to a change in strategy and he is now part of a small group responsible for the acquisition of human biological samples for a wide range of assays both internally and for academic collaborators. This requires knowledge of the regulatory environments nationally and internationally and a good understanding of sources of human biosamples, both commercial and academic. A Biosample Exchange would simplify the task of delivering high quality samples to our research groups which should in turn help deliver medicines to the patients who need them. John has a Biomedical Science MSc, is a Fellow of the Institute of Biomedical Sciences and is a State Registered Biomedical Scientist. Panelist: Philip Quinlan, CTO, Advanced Data Analysis Centre, University of Nottingham, UK. Dr Phil Quinlan has a over a decade of experience working on biobanking systems (such as the Breast Cancer Campaign Tissue Bank and HCV Research UK). His current role is as the Chief Technology Officer for the Advanced Data Analysis Centre (ADAC) and the University of Nottingham. ADAC provide leading data analytic capabilities in a range of academic and commercial settings. One of the main projects within ADACs portfolio is the UKCRC Tissue Directory and Coordination Centre and Phil is leading the informatics components of the UKCRC Tissue Directory and Coordination Centre. P1
  • 4. Introduction Kate Torchilin, PhD, MBA CEO, Novaseek Research Boston, MA, USA
  • 5. ©PistoiaAlliance Access to Biosamples Remains One of the Key Bottlenecks in Pharma R&D • Access to biosamples remains a bottleneck in pharma R&D. Researchers need access to the right biosample from the right patient at the right time and with the right data • Millions of dollars have been invested both in creating biosample repositories as well as in the collection infrastructures, by government, academia and industry; millions in budget approvals continue to be requested each year for acquiring biosamples for research • Thousands of biobanks and sample collections have been created within various for-profit and non-for-profit entities • We will discuss approaches that can be pursued to increase transparency of information and streamlined approaches to acquiring biosamples P2
  • 6. ©PistoiaAlliance Existing Biobanks – Not All Samples are Fit for Purpose • Many of the samples in storage today were collected before the era of genomic- and proteomic-based research • Utilizing samples that were collected for various research or clinical needs require specific patient consent • Sometimes missing just one piece of data, or one clause in consent, could make the collection obsolete • Sometimes the quality is questionable. In one test by the Office of Biorepository and Biospecimen Research – in Collection 1, 1,392 / 5,000 samples passed inventory review and 174 / 5,000 passed pathology review; in Collection 2, 120 / 1,200 samples passed inventory review and 18 /1,200 passed pathology review (Jim Vaught, 2011.)
  • 7. ©PistoiaAlliance Key Issues and Need for Best Practices PROBLEM • Lack of availability of specimens • Collection “silos” • Inadequate/unknown quality • Lack of broadly accepted standards • No transparency into which samples are available and where, and on how to access them • Ethical & legal requirements delay access POTENTIAL SOLUTION • Standardized collection approaches • Standardized processing • Standardized data and detailed annotation for each sample • Standardized and transparent consents and MTAs • Supporting IT systems • Accreditation – French Norm, Scotland biobank accreditation scheme, CAP biobank accreditation, Canadian tissue repository accreditation, etc. P3
  • 8. ©PistoiaAlliance Two Approaches Have Emerged for Centralizing Biosample Resources Hub and Spoke collections • For example: • the Collaborative Human Tissue Network (CHTN), by the National Cancer Institute (NCI) in the US, serves as an intermediary organization, collecting requests from researchers and then sourcing specimens from its network Catalog approach • For example: • BBMRI Europe – aims to improve the accessibility and interoperability of the existing collections of biological samples from different populations of Europe as well as biomolecular resources • ISBER – international repository locator to identify repository managers worldwide, and gather information about their repositories to assist development of content for the repository profile webpage
  • 9. A User Perspective How does a Pharma user want to interact with a Biosample Exchange? John Spaull, GSK R&D, Stevenage, UK
  • 10. ©PistoiaAlliance Usage ? • Target Identification/Target Validation – Well characterised, well annotated samples – Likely to be archived so annotation represents that snapshot time point – Downstream donor data – outcome measures – The more data is available the greater the stratification of disease groups and the more granular the TI/TV can be – Donor number, what is significant ? – Add value ? TMA creation ? (Pharma have preferred CROs) – Timescale – project timelines are contracting, expect quick turnaround, weeks not months – Quality measure ? – Ethics and Consent in place ? Sensitivities – ‘genetics’, cross border usage – Cost
  • 11. ©PistoiaAlliance Usage ? • Fresh live tissue – Great interest in using fresh tissue as disease model – Spontaneous mediator readout, + drug effects, signalling intermediates, screening – Availability ? Identification of sources within institution – Control ischaemic delay – Add value ? On-site preparation of fresh samples, non-standard testing to select sample – Regular supply, quantity, non elective surgeries ? – Data at sample collection – Follow up test data – Cost
  • 12. ©PistoiaAlliance What does the Biobank get out of the relationship? • Cost recovery • Potential staff funding, equipment funding (use of your lab ?) • (Publication) • (Clinical Trials) • (Access to instrumentation / feedback of results) • Archive is a living resource (cf an end stage, dead resource) • Participation in drug discovery, potential benefits to future patients P4 Medicine – Preventative/Predictive/Personalised/Participatory Data driven ….. Dynamic change P4-6
  • 13. Current UK thinking Explaining the work of the UKCRC Tissue Directory and Coordination Centre https://www.biobankinguk.org Philip Quinlan, CTO, Advanced Data Analysis Centre, Nottingham
  • 14. ©PistoiaAlliance Background “Funders aim to maximise the value of human tissue samples and resources while minimising duplication of effort. This requires better characterisation of tissue samples, asking for generic consent, and increased linkage to accurate clinical data. Sample collections must then be made more easily discoverable and accessible for use in high quality, ethical research.” http://www.ukcrc.org/research-infrastructure/experimental- medicine/funders-vision-for-human-tissue-resources/
  • 16. ©PistoiaAlliance Phase 1 Capability Data Samples • Can you collect on bespoke consent forms or using bespoke SOPs? • Approx. how many donors do you expect in a year? • Can you collect metastatic disease (where applicable)? • What data can you collect and in what timeframe? • What data can you collect and in what timeframe: • Now?, 0-3 months, 3-6 months, 6-12 months? • What quality information can you provide? • Freezer logs, cold/warm ischemic time • Approx. breakdown of donors based on: • Disease, Age, Gender • Percentage of samples based on: • Material Type, Macroscopic Assessment, Preservation P7
  • 17. ©PistoiaAlliance Audience Discussion • Please submit questions through the question box on the right.