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MaGMa SIGNED

Applying Metabolomics to Unveil follow-up treatment biomarkers and Identify Novel TherapeuticTargets in Glioblastoma

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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0

 MaGMa project word cloud

Explore the words cloud of the MaGMa project. It provides you a very rough idea of what is the project "MaGMa" about.

therapeutic    evs    tumour    fingerprint    form    metabolic    gbm    differential    vesicles    self    metabolomic    biology    believe    packaged    brain    translation    metabolites    fresh    besides    released    biomarkers    tissues    tumorigenic    initiation    treatment    human    altered    patients    treatments    isolated    cure    last    map    possibility    subtypes    alterations    copy    function    ev    personalized    surgical    efficacy    diagnosis    model    drugs    made    period    glioma    extreme    profiles    elucidate    hallmark    surrounding    cscs    cells    resistance    prognosis    therapies    origins    effort    clinical    mesenchymal    phenotypic    adapt    will    observations    profile    cancer    phenotypes    survival    stem    containing    extracellular    patterns    metabolite    epigenetic    metabolome    distinguishing    devastating    metabolism    malignant    multiforme    tissue    glioblastoma    mutations    necessities    cancerous    link    renewing    proneural    generating   

Project "MaGMa" data sheet

The following table provides information about the project.

Coordinator
FUNDACION UNIVERSITARIA SAN PABLO-CEU 

Organization address
address: C ISAAC PERAL 58
city: MADRID
postcode: 28040
website: www.ceu.es

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Spain [ES]
 Total cost 158˙121 €
 EC max contribution 158˙121 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2017
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2018
 Duration (year-month-day) from 2018-04-04   to  2020-04-03

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    FUNDACION UNIVERSITARIA SAN PABLO-CEU ES (MADRID) coordinator 158˙121.00

Map

 Project 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.

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The information about "MAGMA" are provided by the European Opendata Portal: CORDIS opendata.

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