Objective
Glioblastoma multiforme (GBM) is the most common and devastating form of malignant brain tumour, containing self-renewing, tumorigenic cancer stem cells (CSCs) that contribute to tumour initiation and therapeutic resistance. The survival of such patients has not improved so much in the last 60 years, and we are still far to get any cure. Therefore, new methods for prognosis and diagnosis are needed, and it could come from better understanding of glioma biology.
The link between cancer and altered metabolism is not new. Many observations were made during the early period of cancer biology research, identifying metabolic changes as a common feature of cancerous tissues to adapt to the necessities of the tumour. GBM comprises several phenotypic subtypes, each with distinguishing hallmark mutations, copy number alterations, epigenetic alterations, and clinical features, generating a different treatment efficacy. We believe that GBM subtypes will produce different patterns in the metabolite fingerprint and moreover the use of treatments will change them.
In the present project we will use a metabolomic approach on a model of human CSCs isolated from fresh surgical tissue, to characterize two of the most extreme phenotypes; proneural and mesenchymal. We will map the tumour metabolite profile and the translation of this knowledge may lead to more personalized therapies. Besides that, we are interested in studying
the metabolite profile of the extracellular vesicles (EV) released by those subtypes. This research effort is not only necessary to map the metabolome of EVs from different origins, but also to elucidate whether or not the metabolites are directly packaged into specific EVs, their possible function in surrounding cells, as the possibility of finding different metabolite profiles characteristic of tumour subtypes and moreover with a differential response to drugs that could be use as biomarkers.
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 cell biology
- medical and health sciences medical biotechnology cells technologies stem cells
- natural sciences biological sciences genetics mutation
- medical and health sciences clinical medicine oncology
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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.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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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.
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.
MSCA-IF-EF-ST - Standard EF
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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.
(opens in new window) H2020-MSCA-IF-2017
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
28040 Madrid
Spain
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.