CORDIS
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Advancing Clinico-Genomic Trials on Cancer: Open Grid Services for Improving Medical Knowledge Discovery

Project information

Grant agreement ID: 026996

Status

Closed project

  • Start date

    1 February 2006

  • End date

    31 July 2010

Funded under:

FP6-IST

  • Overall budget:

    € 16 652 261

  • EU contribution

    € 11 887 000

Coordinated by:

GEIE ERCIM

France

Project description

Integrated biomedical information for better health Harnessing grid computing to fight disease

A future in which patients receive personalised treatment based on their genetic make-up is fast becoming a reality.

But the genomic and clinical techniques that makes personalised healthcare possible has left researchers wallowing in reams of medical data. Far too often, the amount of data they have gathered surpasses their ability to analyse the information and put it to good use.

To help overcome the information overload problem, the ACGT project has successfully created a computerised system to organise such data, opening the way for the medical sector to deliver more personalised services to patients and ultimately improve health care.

By making the process of data analysis faster and more efficient, ACGT’s system permits even more rapid advances in developing treatments for a variety of diseases.

Focusing on information gathered in clinical and genomic trials involving cancer patients, the ACGT researchers developed a technical infrastructure to support the efficient sharing of such knowledge.

Drugs fine-tuned to your genes

For example, such a system would help doctors to rapidly identify what form of treatment best suits which patient, even permitting drugs to be quickly developed that are fine-tuned to their needs.

Such personalised treatment promises to give doctors a better chance of giving patients the correct medication for their condition, as well as developing treatment plans in such a way that drug side effects and other complications are minimised.

Sharing and analysing data on the grid

The backbone of the infrastructure is grid computing, which harnesses the resources of multiple, dispersed computers to gather, analyse and share data.

The project’s biomedical grid infrastructure specifically allows doctors to identify cancer profiles and best treatments rapidly, although it could be used for any disease, or for research and trials.

In addition to creating the grid infrastructure, the ACGT team also developed new methods for cross-referencing medical terms and their biological contexts. They also created common standards for storing medical research information at each level of investigation.

In doing so, they addressed issues related to data sharing, including the legal and regulatory aspects.

Tested in clinical trials

Their system allows doctors to compare accurately the results of different clinical trials and lets researchers more rapidly search for information from multiple sources.

The project partners are currently using the system in clinical trials involving patients suffering from breast cancer and paediatric nephroblastoma, a rare kind of kidney cancer that affects children and is also known as Wilms’ tumour.

Their goal is to improve further upon the results obtained so far from the combination of clinical and genetic information, which in the case of treating paediatric nephroblastoma has resulted in a success rate of up to 85%.

Coordinator

GEIE ERCIM

Address

Route Des Lucioles 2004 Sophia Antipolis
06410 Biot

France

Activity type

Other

EU Contribution

€ 665 267

Participants (27)

ASSOCIATION HOSPITALIERE DE BRUXELLES - CENTRE HOSPITALIER UNIVERSITAIRE BORDET - ASSOCIATION DE DROIT PUBLIC ASBL

Belgium

EU Contribution

€ 556 316

UNIVERSITE DE NAMUR ASBL

Belgium

EU Contribution

€ 280 476

SIB INSTITUT SUISSE DE BIOINFORMATIQUE

Switzerland

EU Contribution

€ 448 921

GOTTFRIED WILHELM LEIBNIZ UNIVERSITAET HANNOVER

Germany

EU Contribution

€ 287 578

UNIVERSITAT DES SAARLANDES

Germany

EU Contribution

€ 731 334

FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.

Germany

EU Contribution

€ 941 128

UNIVERSITAET HAMBURG

Germany

EU Contribution

€ 243 613

UNIVERSIDAD DE MALAGA

Spain

EU Contribution

€ 391 379

UNIVERSIDAD POLITECNICA DE MADRID

Spain

EU Contribution

€ 593 792

INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE

France

EU Contribution

€ 364 097

HEALTHGRID

France

EU Contribution

€ 342 774

IDRYMA TECHNOLOGIAS KAI EREVNAS

Greece

EU Contribution

€ 979 701

INSTITUTE OF COMMUNICATION AND COMPUTER SYSTEMS

Greece

EU Contribution

€ 463 152

A. PERSIDIS & SIA OE

Greece

EU Contribution

€ 441 149

PANEPISTIMIO KRITIS

Greece

EU Contribution

€ 201 778

ISTITUTO EUROPEO DI ONCOLOGIA SRL

Italy

EU Contribution

€ 243 008

HOKKAIDO UNIVERSITY

Japan

UNIVERSITEIT VAN AMSTERDAM

Netherlands

EU Contribution

€ 518 163

PHILIPS ELECTRONICS NEDERLAND BV

Netherlands

EU Contribution

€ 935 328

INSTYTUT CHEMII BIOORGANICZNEJ POLSKIEJ AKADEMII NAUK

Poland

EU Contribution

€ 597 219

SIVECO ROMANIA SA

Romania

EU Contribution

€ 278 195

LUNDS UNIVERSITET

Sweden

EU Contribution

€ 471 279

THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD

United Kingdom

EU Contribution

€ 458 899

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS

France

INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE

France

INSTITUT NATIONAL DES SCIENCES APPLIQUEES DE RENNES

France

UNIVERSITE DE RENNES I

France

Project information

Grant agreement ID: 026996

Status

Closed project

  • Start date

    1 February 2006

  • End date

    31 July 2010

Funded under:

FP6-IST

  • Overall budget:

    € 16 652 261

  • EU contribution

    € 11 887 000

Coordinated by:

GEIE ERCIM

France