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

Total Cost €


EC-Contrib. €






 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.

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

Project "MaGMa" data sheet

The following table provides information about the project.


Organization address
address: C ISAAC PERAL 58
city: MADRID
postcode: 28040

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


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 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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