Objective
Pancreatic cancer is one of the most lethal human cancers with a five-year survival rate of less than 5%. Late presentation and a high level of resistance to chemotherapeutic drugs are among the major reasons for this dismal prognosis. The presence of the highest degree of desmoplasia among all solid tumours and the fact that chronic inflammatory pancreatic disease is associated with an increased risk for pancreatic cancer indicate, that the tumour microenvironment is of particular importance for carcinogenesis in the pancreas. The long-term objective of this proposal is to increase survival of pancreatic cancer patients by exploring the contribution of the tumour microenvironment to the failure of presently available oncological treatments. For this purpose the clinical observation will be reverse-translated into innovative in-vitro and mouse models closely mimicking the human disease. This will allow a profound study of the mechanistic basis of treatment failure by deciphering the complex network between components of the microenvironment and cancer cells leading to increased resistance to chemotherapy and infiltrative growth along adjacent lymphatic and neural structures as well as metastatic spread. Identification of cancer (stem) cell-autonomous as well as stromal-derived mediators of invasion and chemoresistance will lead to novel drug targets to overcome the current therapeutic dilemma. The consortium has been specifically designed to include all required levels of expertise: 1) surgical and medical oncology groups conducting the largest clinical trials for pancreatic cancer in Europe, 2) expert pancreatic pathologists, 3) basic scientists focused on the study of carcinogenesis and tumour microenvironment interactions in the pancreas, 4) molecular oncology groups that have developed genetically engineered mouse models faithfully recapitulating human pancreatic cancer, as well as 5) pharmaceutical industry specialised on drug development.
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.
- medical and health sciences basic medicine pharmacology and pharmacy drug discovery
- 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.
FP7-HEALTH-2010-two-stage
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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
35037 Marburg
Germany
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Participants (16)
L69 7ZX LIVERPOOL
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28029 Madrid
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37129 Verona
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17489 Greifswald
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171 77 STOCKHOLM
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14152 Huddinge
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81675 MUENCHEN
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13353 Berlin
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E20 1JQ LONDON
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CB4 0GA Cambridge
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20132 MILANO
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10124 TORINO
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10010 COLLERETTO GIACOSA TORINO
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82256 Furstenfeldbruck
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80333 Muenchen
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20132 Milano
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