Objective
Allogeneic stem cell transplantation (HSCT) is a life saving therapy for haematological disorders (leukaemia and lymphoma, inherited immune disorders, and aplastic anaemia). Over 7000 such transplants are carried out each year in Europe. However the over all survival rate after HSCT is poor (40-60%), and cure of patients is hampered by clinical complications that arise post-transplant; largely due to genetic and biological differences which exist between a given patient and donor. These differences includ e transplantation antigens (major and minor histocompatibility antigens). Pioneering research by Partners, have indicated that a number of non-HLA gene polymorphisms also affect the severity and incidence of transplant related complications. There is an urgent need to improve patient-donor matching at both the biological and genomic level which would develop HSCT beyond the current state of the art. HSCT outcomes will be improved if predictive assays, diagnostic tools and new therapeutics were developed and ultimately used by HSCT clinicians for individual patient based medicine. TRANS-NET teams have expertise in predictive bioassays, genomics, diagnostics and novel therapeutics who will train researchers in the key technologies of, mRNA expression profi ling, pathology, non-HLA immunogenetics and mechanisms of immune recognition; with the ultimate aim of applying the results of TRANS-NET in the HSCT clinical setting. TRANS-NET aims to 1) Define new biological/genomic indicators and novel therapies for th e potential development of new clinical strategies for improving the outcome and quality of life of HSCT patients. 2) Develop unique training programmes in genomics and immunobiology of transplantation and generate highly trained scientists with the abili ty to manage complex projects and understand the scientific challenges of individualised patient medicine. 3) Disseminate knowledge gained throughout the ERA and clinical HSCT centres across the EC.
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.
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 medicineimmunology
- medical and health sciencesmedical biotechnologycells technologiesstem cells
- medical and health sciencesbasic medicinepathology
- medical and health sciencesclinical medicinetransplantation
- medical and health sciencesclinical medicineoncologyleukemia
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Keywords
Call for proposal
FP6-2002-MOBILITY-1
See other projects for this call
Funding Scheme
EIF - Marie Curie actions-Intra-European FellowshipsCoordinator
NEWCASTLE-UPON-TYNE
United Kingdom