Objective
Neuroendocrine tumours (NETs) consist of a range of rare neoplasms that may arise from any (neuro)endocrine cell situated in any part of the human body. Despite the recent approval of two new drugs (sunitinib and everolimus) for pancreatic NETs, innate resistance is frequently encountered in these tumours and patients showing a response invariably relapse due to acquisition of resistance. Moreover, while new data are being generated, including publication of the exome sequence of pancreatic neuroendocrine tumours, the mechanisms of resistance to angiogenesis compounds have not yet been completely elucidated.
Data from animal models are scarce about resistance mechanisms to antiantiogenesis compounds in NETs. The zebrafish has recently emerged as an invaluable model system for the study of human cancers.
Our main aim is to establish a new zebrafish model for neuroendocrine tumours that can be used to investigate resistance mechanisms to antiantiogenesis compounds. The main hypothesis of our proposal is that we will be able to develop an autochthonous transgenic model of pancreatic neuroendocrine tumours in zebrafish and combine this with the already established kdrl-eGFP transgenic zebrafish line with blood vessels expressing a green fluorescent protein.
The objectives of the study are:
1. To engineer an autochthonous transgenic zebrafish model of neuroendocrine pancreatic tumours.
2. Couple the above model with zebrafish possessing GFP-marked blood vessels.
3. Test the activity of known antiantiogenesis compounds such as sunitinib and novel ones in the model generated.
4. To establish lines of fishes resistant to antiantiogenesis drugs.
Angiogenesis being a complex and dynamic process, the in vivo study of acquired resistance in tumours and accompanying alterations in tumour vasculature will hopefully give us a better understanding of how sensitive NETs turn into resistant ones.
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
- medical and health sciences clinical medicine oncology
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Programme(s)
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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-PEOPLE-2012-IEF
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Funding Scheme
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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
M13 9PL Manchester
United Kingdom
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.