Objective
Cancer is a process of clonal selection, and analytical methods from evolutionary biology should be able to explain why cancer tissues are heterogeneous and develop resistance to current therapies. Evolutionary game theory helps understand non-intuitive properties of the frequency-dependent dynamics arising in the cooperative interactions between cancer cells. In particular, the theory of N-person non-linear public goods games is used to analyse the evolutionary dynamics of the production of diffusible molecules like growth factors, which are essential in the development of cancer. Models that take into account general features of non-linear public goods in structured populations, as well as specific features of certain types of growth factors, are used to understand the ultimate causes of tissue heterogeneity and of the evolution of resistance to therapies. The second part of the project uses experiments with cancer cell populations in vitro to test the predictions of the theory. Two types of beta cells from insulinomas of mouse, one of which knocked out for insulin-like growth factor-II (IGF-II), a factor that promotes cancer cell proliferation and survival, are used for experimental evolution in vitro. It is anticipated that IGF-II-deficient tumour cells, while unable to grow in the absence of IGF-II, will proliferate better than producer cells when IGF-II is provided exogenously or by co-cultured producer cells, making IGF-II a public good, and providing an example of cooperation among cancer cells. The results will help understand stable intra-tumoural cell heterogeneity, why therapies that target growth factors lead to a temporary reduction in tumour growth followed by relapse, and may help devise evolutionarily stable therapies.
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.
- natural sciences biological sciences evolutionary biology
- medical and health sciences clinical medicine oncology
- natural sciences mathematics applied mathematics game theory
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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-2013-IOF
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
NR4 7TJ NORWICH
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.