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ACGT: Open Grid Services for Improving Medical Knowledge Discovery A European Biomedical Informatics

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Title: ACGT: Open Grid Services for Improving Medical Knowledge Discovery A European Biomedical Informatics


1
ACGTOpen Grid Services for Improving Medical
Knowledge Discovery A European Biomedical
Informatics Grid initiative
  • M. Tsiknakis, D. Kafetzopoulos, A. Kumar

2
ACGT details
  • The ACGT concept resulted from experiences in
    running large, multi-site, post-genomic,
    translational clinical trials
  • International Society of Paediatric Oncology
    (SIOP) - SIOP 2001/GPOH concerned with Wilms
    tumour (nephroblastoma).
  • TransBIG - Translating molecular knowledge into
    early breast cancer management. European
    Commission under its FP6 programme. 45 sites in
    25 countries.
  • PrognoChip, a multi-site national study aiming
    at the identification and validation of
    signature gene expression profiles of breast
    tumours.

3
The ACGT vision principles
  • The ultimate objective of the ACGT project is the
    provision of a unified technological
    infrastructure which will facilitate
  • integrated access to multi-level biomedical data
  • development or re-use of open source analytical
    tools, accompanied with the appropriate meta-data
    allowing their discovery and orchestration into
    complex workflows.
  • ACGT
  • focuses on clinical trials on Cancer (Wilms
    tumor, Breast) and
  • is based on the principles of
  • Open access (among trusted partners)
  • Open source
  • is not a standards generating exercise but a
    standards adopting one.

4
Integrated access of Multilevel Biomedical Data
System
Clinic - Specialty -
Organ
Radiology - Imaging -
MEDicine
Tissue
Histopathology Organ Modeling - Simulations
-
INFOrmatics
Cell
Immunochemistry e-Cell modeling Molecular imaging
Mol. Pathway Gene/Protein Interactions
Proteomics
BIOlogy
RNA
Functional Genomics
DNA ACGTTCGCT
Genomics
5
The ACGT clinical trials
  • Multicentric TOP trial Breast Cancer
  • SIOP 2002 paediatric nephroblastoma
  • In Silico modeling and simulation of tumor growth
    response to treatment

6
TOP trial
Neo-adjuvant Epirubicin x 4/6
Can we find molecular signatures related
to Anthracycline response?
7
TOP trial design
Tumor sampling
SURGERY
Neo-adjuvant epirubicin x 4/6
Adjuvant TAXOTERE x 4
Diagnosis
C1
C2
C3
C4
C1
C3
C4
C2
Blood samples (genotyping proteomic
data) Biopsies frozenfixed (gene-expression
profiling, gene copy, molecular markers)
8
In silico modeling and simulation
  • Seeks to extract information related to tumor
    growth response to treatment
  • Requires
  • access to multi-level clinico-genomic data.
  • implementation of a variety of processing tools
    and
  • specification of complex analytical workflows

9
ACGT orientation
Virtual organisations with dynamic access to
unlimited resources
For all
Sharing of apps and know-how
With controlled set of unknown clients
Sharing standard scientific process and data,
sharing of common infrastructure
Between trusted partners
CPU intensive workload Grid as a utility, data
Grids, robust infrastructure
Intra-company, intra community e.g. Life Science
Grid
10
  • Ontologies Metadata

11
Ontology based mediation
12
Goal of the ACGT ontology
  • Priority Ontology of entities involved in two
    carcinomas
  • Nephroblastoma and Breast Carcinoma
  • Basis for creation of databases and CRFs
  • Constant extensibility ability to draw
    inferences computationally
  • Use anatomy axis as basis of manual entry into
    ontology and provide another partition once
    anatomy axis is exhausted
  • Urinary system Urinary Tract Upper Urinary
    Tract Kidney
  • Disease of Urinary System - Disease of Kidney
    Renal Neoplasm

13
Sources of terms
  • Terms from different terminologies ontologies
    are integrated together
  • Hierarchy and Relations of terminologies
    ontologies NOT incorporated (except FMA)
  • Sources used as a dictionary
  • Deficiencies present in each source in
    classificationand relations improved
  • Possible collaboration with GRID services to
    access the Source foreseen

14
B I O M E D I C A L O N T O L O G Y
15
CT end user tools
An integrated visual environment
  • Clinical Trial Templates
  • Augmented by the ACGT Master Ontology
  • Graphical representation of data elements and
    processing steps in a clinical trial
  • Context-sensitive assistance
  • Data mining and analytical tools
  • A variety of tools and applications
  • Clinical trial workflows
  • Graphical representation of workflows
  • Processing modules attached to each other in a
    workflow

16
Workflow for data representation and usege
17
  • Workflows

18
CT analysis workflows
Resource brokeringand orchestration
Data source
Processing engine
Data Mining
Visualisation
19
Overview of requirements
  • We do NOT yet know all analytical services which
    will be required, but
  • Accessing multilevel data will not be enough.
    The data will need to be integrated, processed,
    transformed, analyzed, etc
  • Analytical services must be presented as Grid
    Services and provide APIs for discovering and
    invoking the service
  • The analytical services, just as the data access
    services, will take in and return semantically
    harmonized data types
  • Must provide AnalyticalServiceMetadata describing
    the service

20
Scenarios for Clinical Trial Workflows
21
Metadata, and workflows in ACGT
22
Triana used in DataMiningGrid (FhG, FORTH)
23
Main challenges Semantic Integration
  • Middleware technology, enabling large-scale
    (semantic, structural, and syntactic)
    interoperation among biomedical resources and
    services on an as-needed basis
  • Shared mediator ontology through semantic
    modelling of biomedical concepts using existing
    ontologies and ontologies developed for the needs
    of the project
  • Mapping of local conceptual models (clinical,
    genomic) to the shared ontology while checking
    consistency and integrity of the mapped
    information
  • Semantic annotation and advertisement of
    biomedical resources, to allow metadata-based
    discovery and query of tools, and services
  • Mata-data descriptions of clinical trials to
    provide adequate provenance information for
    future re-use, comparison, and integration of
    results

24
Concluding remarks
  • ACGT is promoting
  • the adoption of standards and
  • the re-use results of others.
  • As a result we are here
  • to learn and talk to people,
  • to exchange experiences and
  • to explore possibilities for common actions.
  • Areas of possible collaboration harmonization
  • Harmonization initiatives
  • Meta-data description of analytical tools so
    that they can be discovered, invoked and
    integrated into our CT workflows
  • Joined study of legal, security issues related to
    the intenationalisation of CTs.
  • Promotion of the common basic principles.

25
The ACGT Organisations
1 of 3 integrated projects funded by the IST
programme Funding 18 MEuro, Time plan 1/2/2006
31/1/2010
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