Objective
MELGEN (MELanoma GENetics) – understanding and biomarking the genetic and immunological determinants of melanoma survival
The MELGEN European Training Network (ETN) will create an environment for long-term, collaborative, inter-sectorial cancer genetics research with the ultimate aim of improving precision (personalised) medicine. In a 2012 report the European Science Foundation identified the importance of precision medicine and recommended that there should be 1) provision of comprehensive, accessible and interoperable datasets 2) improved models and decision-making processes, 3) interdisciplinary, public-private partnerships and translational research, and 4) dedicated funding including access to core technology and frameworks for education and training of professionals. This application addresses all four recommendations and applies them to melanoma. Considerable, but insufficient, progress has been made in understanding the genetic changes within melanomas that drive tumour progression, and how those drivers can be targeted to treat melanoma. Melanoma is also an especially immunogenic cancer and much more needs to be understood of how melanomas suppress host immunological responses. Understanding what controls immunity in melanoma will be potentially applicable to other cancers. Finally, we need prognostic and predictive biomarkers for selection of precision therapy. This ETN will recruit 15 early stage researchers (ESRs) to address these issues. It will bring together leaders in clinical research, genomics, statistics, bioinformatics, and the biotech industry to exploit the new genomic tools and tumour immunology. MELGEN’s commercial partners are developing immunological tests (ImmunID), bioinformatics (Eagle Genomics), commercial genomics (ServiceXS) and digital design/communications (Digitronix) and they will underpin an innovative, interdisciplinary training programme for the next generation of melanoma researchers.
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 sciencesbiological sciencesgenetics
- medical and health sciencesclinical medicineoncologyskin cancermelanoma
- medical and health scienceshealth sciencespersonalized medicine
- medical and health sciencesbasic medicineimmunologyimmunotherapy
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Programme(s)
Funding Scheme
MSCA-ITN-ETN - European Training NetworksCoordinator
LS2 9JT Leeds
United Kingdom