Objective
Rejection is the major cause of allograft failure with dramatic consequences in terms of mortality, morbidity and increased cost for the society. The field of transplantation lacks a robust assessment of risk stratification. Thus, it impairs the development of relevant clinical trials to address graft and patient outcomes. We formed the EU-TRAIN project by gathering reference kidney transplant centres in a fully operating European network including 12 partners. Our ambitious but realistic goals are: to provide clinicians with innovative and accessible tools for early prediction of individual risk of allograft rejection and transplant loss; to personalise clinical management and treatment and; to improve allograft outcomes. This project will engineer a risk stratification system applied to kidney transplant patients by analysing the integration of several layers of data (clinical, histological, immunological data as well as gene expression and novel biomarkers) - the TRAnsplant Comprehensive Evaluator of Risk (EU-TRACER). EU-TRACER will be generated and validated in 2 dedicated studies including a randomised control trial. Translation to patients will be achieved by delivering: 1) A multiplex non-invasive biomarker system for the stratification and immune monitoring of low and high risk kidney recipients; 2) A prognostic system for individual risk stratification for allograft rejection and failure that will assist decision making via an interactive web interface. The EU-TRACER, developed with our 3 industrial partners, will define a new standard of care in transplantation. The EU-TRACER will have the potential for a large implementation and diffusion in other centres in Europe and will be suitable for industrial collaboration.
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.
- social sciencessociologydemographymortality
- medical and health sciencesclinical medicinetransplantation
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Keywords
Programme(s)
Call for proposal
(opens in new window) H2020-SC1-2016-2017
See other projects for this callSub call
H2020-SC1-2017-Two-Stage-RTD
Funding Scheme
RIA - Research and Innovation actionCoordinator
75654 Paris
France