Objective
Novel treatment options and associated personalised, patient-tailored therapies need to be explored and developed for highly heterogeneous and chemotherapy resistant cancers, such as malignant melanoma. This can only be achieved by industry-academia collaborations in newly emerging, innovative research disciplines such as translational cancer systems biology and systems medicine. These disciplines and the associated European training needs provide the foundation for the MEL-PLEX ETN. MEL-PLEX aims to understand the network-level and multi-scale regulation of disease-relevant signalling in melanoma through a combination of quantitative biomedical and computational research approaches that go significantly beyond the current state-of-the-art. Coordinated by the RCSI Centre for Systems Medicine, MEL-PLEX will train 15 early stage researchers through a highly interdisciplinary and intersectoral research training programme. MEL-PLEX comprises 11 beneficiaries and 7 partner organisations from 11 countries, including European and international leaders in personalised melanoma therapy, melanoma systems biology and cancer systems medicine. MEL-PLEX aims to (i) achieve an unmatched depth of molecular and mechanistic disease understanding, (ii) will exploit this knowledge to develop and validate predictive models for disease progression, prognosis and responsiveness to current and novel (co-)treatment options, and (iii) will provide superior and clinically relevant tools and biomarker signatures for personalising and optimising melanoma treatment. The MEL-PLEX ETN addresses current needs in academia and the private sector for researchers that have been trained in an environment that spans across biology, medicine and mathematics, that can navigate confidently between clinical, academic and private sector research environments, and that have developed an innovative and creative mindset to progress research findings towards applications.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- medical and health sciencesbasic medicinepharmacology and pharmacydrug discovery
- medical and health sciencesclinical medicineoncologyskin cancermelanoma
- natural sciencescomputer and information sciencessoftwaresoftware applicationssimulation software
- natural sciencesmathematicsapplied mathematicsmathematical model
Programme(s)
Funding Scheme
MSCA-ITN-ETN - European Training NetworksCoordinator
2 Dublin
Ireland
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Participants (11)
01069 Dresden
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4365 ESCH-SUR-ALZETTE
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3000 Leuven
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Participation ended
69117 Heidelberg
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Dublin 6 DUBLIN
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
4 Dublin
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6299920 Tel Aviv
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
2100 Koebenhavn
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166 75 GLYFADA
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
70174 Stuttgart
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Participation ended
52074 Aachen
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Partners (8)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
Berne
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
North Andover
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
69120 HEIDELBERG
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
90429 NURNBERG
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
Roma
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
Boston
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
Chede
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
91904 Jerusalem
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