Objective
Pancreatic cancer has a dismal prognosis. Surgical resection of early tumours or preneoplastic lesions represents the
only curative approach. It is currently difficult to identify early stages of the tumour and preneoplastic lesions.
Once in an advanced stage there are no diagnostic means for a risk stratification of patients concerning prognosis
or responsiveness to therapy. Here we propose an integrated project joining leading groups in European pancreatic
cancer research, SMEs and industry to develop novel molecular diagnostic approaches for the prevention, early
diagnosis and risk stratification of pancreatic cancer. These approaches will be developed based on large scale
transcriptome, genome and proteome analyses that have been performed by members of the consortium in the
recent years in two subsequent EU-funded concerted actions. Within these concerted actions, the relevant protocols
and processes have been optimised and adjusted between the partners and common standards, as well as a network of
clinicians, clinical research and basic research groups have been established. From this basis, novel molecular
techniques will be developed for the detection of cancer cells or preneoplastic cells in minimal amounts of
clinical tissue (fine needle biopsies) or fluid (pancreatic/duodenal juice or serum) samples. Novel tools will
include transcript and epigenetic analyses, chip technology, single or multiple marker protein studies, DNA/RNA
PCR analyses, serum proteomics and molecular imaging. The project will use clinical samples such as serum,
urine, fine needle aspirates and surgically resected materials of pancreatic cancer patients collected in large
multinational European trials such as ESPAC or EUROPAC. During the last phase prospective clinical trials
of novel diagnostic tools developed in the integrated project will be designed and started.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences biological sciences biochemistry biomolecules proteins proteomics
- natural sciences biological sciences genetics DNA
- natural sciences biological sciences genetics RNA transcriptomes
- natural sciences biological sciences genetics genomes
- medical and health sciences clinical medicine oncology pancreatic cancer
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP6-2004-LIFESCIHEALTH-5
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
MARBURG
Germany
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Participants (20)
LIVERPOOL
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LONDON
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10 19 49 HEIDELBERG
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VERONA
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BOCHUM
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BERLIN
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DUNDEE
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KIEL
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MANCHESTER
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MUENSTER
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MÜNCHEN
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TARTU
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STOCKHOLM
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BERLIN
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ULM
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CORK
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BARCELONA
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MADRID
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MÜNCHEN
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HEIDELBERG
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