Objective
Several cancers are prone to metastasize to bone. Combating bone metastasis, especially the early dissemination of cancer cells in bone, requires basic research knowledge, skills in different technologies and longstanding clinical experience in order to make clinically significant progress. BONE-NET is a european consortium with complementary expertises in the fields of cancer and bone. It brings together 6 leading academic groups and 3 SMEs. BONE-NET’s scientific project will aim at investigating the early molecular mechanisms of metastases associated with breast and prostate cancers and primary bone cancers (e.g. osteosarcomas), including the identification of new genes and their regulators (microRNAs) that draw cancer cells to colonize bone and let these cells adapt and thrive in the bone marrow. This network will then seek to identify and develop molecularly-targeted therapies. BONE-NET’s primary objective will be to train 11 early-stage (ESR) and 3 experienced (ER) researchers in technical skills such as genomics, proteomics, advanced microscopical methods, animal experimentation, noninvasive in vivo imaging methodologies and drug development. None of the participating laboratories use all of these approaches, but through workshops, courses and secondments ESR/ER will become expert in many of these disciplines. The network additional objective will be to foster collaborations between participating laboratories, in which ESR/ER will take part through individual training-through-research projects. The training programme will also expose the ESR/ER to the industry which will offer courses and a set of complementary skills (ethics, intellectual property rights, entrepreneurship), thereby enabling them to gain industrial work experience. Overall, at the end of the project, ESR/ER will have acquired enough skills in order to manage their own research programmes and to envisage attractive career perspectives within Europe.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
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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-PEOPLE-2010-ITN
See other projects for this call
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
69622 Villeurbanne Cedex
France
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.